significance of study dissertation example

How To Write Significance of the Study (With Examples) 

Whether you’re writing a research paper or thesis, a portion called Significance of the Study ensures your readers understand the impact of your work. Learn how to effectively write this vital part of your research paper or thesis through our detailed steps, guidelines, and examples.

Related: How to Write a Concept Paper for Academic Research

Table of Contents

What is the significance of the study.

The Significance of the Study presents the importance of your research. It allows you to prove the study’s impact on your field of research, the new knowledge it contributes, and the people who will benefit from it.

Related: How To Write Scope and Delimitation of a Research Paper (With Examples)

Where Should I Put the Significance of the Study?

The Significance of the Study is part of the first chapter or the Introduction. It comes after the research’s rationale, problem statement, and hypothesis.

Related: How to Make Conceptual Framework (with Examples and Templates)

Why Should I Include the Significance of the Study?

The purpose of the Significance of the Study is to give you space to explain to your readers how exactly your research will be contributing to the literature of the field you are studying 1 . It’s where you explain why your research is worth conducting and its significance to the community, the people, and various institutions.

How To Write Significance of the Study: 5 Steps

Below are the steps and guidelines for writing your research’s Significance of the Study.

1. Use Your Research Problem as a Starting Point

Your problem statement can provide clues to your research study’s outcome and who will benefit from it 2 .

Ask yourself, “How will the answers to my research problem be beneficial?”. In this manner, you will know how valuable it is to conduct your study. 

Let’s say your research problem is “What is the level of effectiveness of the lemongrass (Cymbopogon citratus) in lowering the blood glucose level of Swiss mice (Mus musculus)?”

Discovering a positive correlation between the use of lemongrass and lower blood glucose level may lead to the following results:

• Increased public understanding of the plant’s medical properties;
• Higher appreciation of the importance of lemongrass  by the community;
• Adoption of lemongrass tea as a cheap, readily available, and natural remedy to lower their blood glucose level.

Once you’ve zeroed in on the general benefits of your study, it’s time to break it down into specific beneficiaries.

2. State How Your Research Will Contribute to the Existing Literature in the Field

Think of the things that were not explored by previous studies. Then, write how your research tackles those unexplored areas. Through this, you can convince your readers that you are studying something new and adding value to the field.

3. Explain How Your Research Will Benefit Society

In this part, tell how your research will impact society. Think of how the results of your study will change something in your community. 

For example, in the study about using lemongrass tea to lower blood glucose levels, you may indicate that through your research, the community will realize the significance of lemongrass and other herbal plants. As a result, the community will be encouraged to promote the cultivation and use of medicinal plants.

4. Mention the Specific Persons or Institutions Who Will Benefit From Your Study

Using the same example above, you may indicate that this research’s results will benefit those seeking an alternative supplement to prevent high blood glucose levels.

5. Indicate How Your Study May Help Future Studies in the Field

You must also specifically indicate how your research will be part of the literature of your field and how it will benefit future researchers. In our example above, you may indicate that through the data and analysis your research will provide, future researchers may explore other capabilities of herbal plants in preventing different diseases.

Tips and Warnings

• Think ahead . By visualizing your study in its complete form, it will be easier for you to connect the dots and identify the beneficiaries of your research.
• Write concisely. Make it straightforward, clear, and easy to understand so that the readers will appreciate the benefits of your research. Avoid making it too long and wordy.
• Go from general to specific . Like an inverted pyramid, you start from above by discussing the general contribution of your study and become more specific as you go along. For instance, if your research is about the effect of remote learning setup on the mental health of college students of a specific university , you may start by discussing the benefits of the research to society, to the educational institution, to the learning facilitators, and finally, to the students.
• Seek help . For example, you may ask your research adviser for insights on how your research may contribute to the existing literature. If you ask the right questions, your research adviser can point you in the right direction.
• Revise, revise, revise. Be ready to apply necessary changes to your research on the fly. Unexpected things require adaptability, whether it’s the respondents or variables involved in your study. There’s always room for improvement, so never assume your work is done until you have reached the finish line.

Significance of the Study Examples

This section presents examples of the Significance of the Study using the steps and guidelines presented above.

Example 1: STEM-Related Research

Research Topic: Level of Effectiveness of the Lemongrass ( Cymbopogon citratus ) Tea in Lowering the Blood Glucose Level of Swiss Mice ( Mus musculus ).

Significance of the Study .

This research will provide new insights into the medicinal benefit of lemongrass ( Cymbopogon citratus ), specifically on its hypoglycemic ability.

Through this research, the community will further realize promoting medicinal plants, especially lemongrass, as a preventive measure against various diseases. People and medical institutions may also consider lemongrass tea as an alternative supplement against hyperglycemia. 

Moreover, the analysis presented in this study will convey valuable information for future research exploring the medicinal benefits of lemongrass and other medicinal plants.  

Example 2: Business and Management-Related Research

Research Topic: A Comparative Analysis of Traditional and Social Media Marketing of Small Clothing Enterprises.

Significance of the Study:

By comparing the two marketing strategies presented by this research, there will be an expansion on the current understanding of the firms on these marketing strategies in terms of cost, acceptability, and sustainability. This study presents these marketing strategies for small clothing enterprises, giving them insights into which method is more appropriate and valuable for them. 

Specifically, this research will benefit start-up clothing enterprises in deciding which marketing strategy they should employ. Long-time clothing enterprises may also consider the result of this research to review their current marketing strategy.

Furthermore, a detailed presentation on the comparison of the marketing strategies involved in this research may serve as a tool for further studies to innovate the current method employed in the clothing Industry.

Example 3: Social Science -Related Research.

Research Topic:  Divide Et Impera : An Overview of How the Divide-and-Conquer Strategy Prevailed on Philippine Political History.

Significance of the Study :

Through the comprehensive exploration of this study on Philippine political history, the influence of the Divide et Impera, or political decentralization, on the political discernment across the history of the Philippines will be unraveled, emphasized, and scrutinized. Moreover, this research will elucidate how this principle prevailed until the current political theatre of the Philippines.

In this regard, this study will give awareness to society on how this principle might affect the current political context. Moreover, through the analysis made by this study, political entities and institutions will have a new approach to how to deal with this principle by learning about its influence in the past.

In addition, the overview presented in this research will push for new paradigms, which will be helpful for future discussion of the Divide et Impera principle and may lead to a more in-depth analysis.

Example 4: Humanities-Related Research

Research Topic: Effectiveness of Meditation on Reducing the Anxiety Levels of College Students.

Significance of the Study: 

This research will provide new perspectives in approaching anxiety issues of college students through meditation. 

Specifically, this research will benefit the following:

 Community – this study spreads awareness on recognizing anxiety as a mental health concern and how meditation can be a valuable approach to alleviating it.

Academic Institutions and Administrators – through this research, educational institutions and administrators may promote programs and advocacies regarding meditation to help students deal with their anxiety issues.

Mental health advocates – the result of this research will provide valuable information for the advocates to further their campaign on spreading awareness on dealing with various mental health issues, including anxiety, and how to stop stigmatizing those with mental health disorders.

Parents – this research may convince parents to consider programs involving meditation that may help the students deal with their anxiety issues.

Students will benefit directly from this research as its findings may encourage them to consider meditation to lower anxiety levels.

Future researchers – this study covers information involving meditation as an approach to reducing anxiety levels. Thus, the result of this study can be used for future discussions on the capabilities of meditation in alleviating other mental health concerns.

Frequently Asked Questions

1. what is the difference between the significance of the study and the rationale of the study.

Both aim to justify the conduct of the research. However, the Significance of the Study focuses on the specific benefits of your research in the field, society, and various people and institutions. On the other hand, the Rationale of the Study gives context on why the researcher initiated the conduct of the study.

Let’s take the research about the Effectiveness of Meditation in Reducing Anxiety Levels of College Students as an example. Suppose you are writing about the Significance of the Study. In that case, you must explain how your research will help society, the academic institution, and students deal with anxiety issues through meditation. Meanwhile, for the Rationale of the Study, you may state that due to the prevalence of anxiety attacks among college students, you’ve decided to make it the focal point of your research work.

2. What is the difference between Justification and the Significance of the Study?

In Justification, you express the logical reasoning behind the conduct of the study. On the other hand, the Significance of the Study aims to present to your readers the specific benefits your research will contribute to the field you are studying, community, people, and institutions.

Suppose again that your research is about the Effectiveness of Meditation in Reducing the Anxiety Levels of College Students. Suppose you are writing the Significance of the Study. In that case, you may state that your research will provide new insights and evidence regarding meditation’s ability to reduce college students’ anxiety levels. Meanwhile, you may note in the Justification that studies are saying how people used meditation in dealing with their mental health concerns. You may also indicate how meditation is a feasible approach to managing anxiety using the analysis presented by previous literature.

3. How should I start my research’s Significance of the Study section?

– This research will contribute… – The findings of this research… – This study aims to… – This study will provide… – Through the analysis presented in this study… – This study will benefit…

Moreover, you may start the Significance of the Study by elaborating on the contribution of your research in the field you are studying.

4. What is the difference between the Purpose of the Study and the Significance of the Study?

The Purpose of the Study focuses on why your research was conducted, while the Significance of the Study tells how the results of your research will benefit anyone.

Suppose your research is about the Effectiveness of Lemongrass Tea in Lowering the Blood Glucose Level of Swiss Mice . You may include in your Significance of the Study that the research results will provide new information and analysis on the medical ability of lemongrass to solve hyperglycemia. Meanwhile, you may include in your Purpose of the Study that your research wants to provide a cheaper and natural way to lower blood glucose levels since commercial supplements are expensive.

5. What is the Significance of the Study in Tagalog?

In Filipino research, the Significance of the Study is referred to as Kahalagahan ng Pag-aaral.

• Draft your Significance of the Study. Retrieved 18 April 2021, from http://dissertationedd.usc.edu/draft-your-significance-of-the-study.html
• Regoniel, P. (2015). Two Tips on How to Write the Significance of the Study. Retrieved 18 April 2021, from https://simplyeducate.me/2015/02/09/significance-of-the-study/

Written by Jewel Kyle Fabula

in Career and Education , Juander How

Last Updated May 6, 2023 10:29 AM

Jewel Kyle Fabula

Jewel Kyle Fabula is a Bachelor of Science in Economics student at the University of the Philippines Diliman. His passion for learning mathematics developed as he competed in some mathematics competitions during his Junior High School years. He loves cats, playing video games, and listening to music.

Browse all articles written by Jewel Kyle Fabula

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The Savvy Scientist

Experiences of a London PhD student and beyond

What is the Significance of a Study? Examples and Guide

If you’re reading this post you’re probably wondering: what is the significance of a study?

No matter where you’re at with a piece of research, it is a good idea to think about the potential significance of your work. And sometimes you’ll have to explicitly write a statement of significance in your papers, it addition to it forming part of your thesis.

In this post I’ll cover what the significance of a study is, how to measure it, how to describe it with examples and add in some of my own experiences having now worked in research for over nine years.

If you’re reading this because you’re writing up your first paper, welcome! You may also like my how-to guide for all aspects of writing your first research paper .

Looking for guidance on writing the statement of significance for a paper or thesis? Click here to skip straight to that section.

What is the Significance of a Study?

For research papers, theses or dissertations it’s common to explicitly write a section describing the significance of the study. We’ll come onto what to include in that section in just a moment.

However the significance of a study can actually refer to several different things.

Working our way from the most technical to the broadest, depending on the context, the significance of a study may refer to:

• Within your study: Statistical significance. Can we trust the findings?
• Wider research field: Research significance. How does your study progress the field?
• Commercial / economic significance: Could there be business opportunities for your findings?
• Societal significance: What impact could your study have on the wider society.
• And probably other domain-specific significance!

We’ll shortly cover each of them in turn, including how they’re measured and some examples for each type of study significance.

But first, let’s touch on why you should consider the significance of your research at an early stage.

Why Care About the Significance of a Study?

No matter what is motivating you to carry out your research, it is sensible to think about the potential significance of your work. In the broadest sense this asks, how does the study contribute to the world?

After all, for many people research is only worth doing if it will result in some expected significance. For the vast majority of us our studies won’t be significant enough to reach the evening news, but most studies will help to enhance knowledge in a particular field and when research has at least some significance it makes for a far more fulfilling longterm pursuit.

Furthermore, a lot of us are carrying out research funded by the public. It therefore makes sense to keep an eye on what benefits the work could bring to the wider community.

Often in research you’ll come to a crossroads where you must decide which path of research to pursue. Thinking about the potential benefits of a strand of research can be useful for deciding how to spend your time, money and resources.

It’s worth noting though, that not all research activities have to work towards obvious significance. This is especially true while you’re a PhD student, where you’re figuring out what you enjoy and may simply be looking for an opportunity to learn a new skill.

However, if you’re trying to decide between two potential projects, it can be useful to weigh up the potential significance of each.

Let’s now dive into the different types of significance, starting with research significance.

Research Significance

What is the research significance of a study.

Unless someone specifies which type of significance they’re referring to, it is fair to assume that they want to know about the research significance of your study.

Research significance describes how your work has contributed to the field, how it could inform future studies and progress research.

Where should I write about my study’s significance in my thesis?

Typically you should write about your study’s significance in the Introduction and Conclusions sections of your thesis.

It’s important to mention it in the Introduction so that the relevance of your work and the potential impact and benefits it could have on the field are immediately apparent. Explaining why your work matters will help to engage readers (and examiners!) early on.

It’s also a good idea to detail the study’s significance in your Conclusions section. This adds weight to your findings and helps explain what your study contributes to the field.

On occasion you may also choose to include a brief description in your Abstract.

What is expected when submitting an article to a journal

It is common for journals to request a statement of significance, although this can sometimes be called other things such as:

• Impact statement
• Significance statement
• Advances in knowledge section

Here is one such example of what is expected:

Impact Statement:  An Impact Statement is required for all submissions.  Your impact statement will be evaluated by the Editor-in-Chief, Global Editors, and appropriate Associate Editor. For your manuscript to receive full review, the editors must be convinced that it is an important advance in for the field. The Impact Statement is not a restating of the abstract. It should address the following: Why is the work submitted important to the field? How does the work submitted advance the field? What new information does this work impart to the field? How does this new information impact the field? Experimental Biology and Medicine journal, author guidelines

Typically the impact statement will be shorter than the Abstract, around 150 words.

Defining the study’s significance is helpful not just for the impact statement (if the journal asks for one) but also for building a more compelling argument throughout your submission. For instance, usually you’ll start the Discussion section of a paper by highlighting the research significance of your work. You’ll also include a short description in your Abstract too.

How to describe the research significance of a study, with examples

Whether you’re writing a thesis or a journal article, the approach to writing about the significance of a study are broadly the same.

I’d therefore suggest using the questions above as a starting point to base your statements on.

• Why is the work submitted important to the field?
• How does the work submitted advance the field?
• What new information does this work impart to the field?
• How does this new information impact the field?

Answer those questions and you’ll have a much clearer idea of the research significance of your work.

When describing it, try to clearly state what is novel about your study’s contribution to the literature. Then go on to discuss what impact it could have on progressing the field along with recommendations for future work.

Potential sentence starters

If you’re not sure where to start, why not set a 10 minute timer and have a go at trying to finish a few of the following sentences. Not sure on what to put? Have a chat to your supervisor or lab mates and they may be able to suggest some ideas.

• This study is important to the field because…
• These findings advance the field by…
• Our results highlight the importance of…
• Our discoveries impact the field by…

Now you’ve had a go let’s have a look at some real life examples.

Statement of significance examples

A statement of significance / impact:

Impact Statement This review highlights the historical development of the concept of “ideal protein” that began in the 1950s and 1980s for poultry and swine diets, respectively, and the major conceptual deficiencies of the long-standing concept of “ideal protein” in animal nutrition based on recent advances in amino acid (AA) metabolism and functions. Nutritionists should move beyond the “ideal protein” concept to consider optimum ratios and amounts of all proteinogenic AAs in animal foods and, in the case of carnivores, also taurine. This will help formulate effective low-protein diets for livestock, poultry, and fish, while sustaining global animal production. Because they are not only species of agricultural importance, but also useful models to study the biology and diseases of humans as well as companion (e.g. dogs and cats), zoo, and extinct animals in the world, our work applies to a more general readership than the nutritionists and producers of farm animals. Wu G, Li P. The “ideal protein” concept is not ideal in animal nutrition.  Experimental Biology and Medicine . 2022;247(13):1191-1201. doi: 10.1177/15353702221082658

And the same type of section but this time called “Advances in knowledge”:

Advances in knowledge: According to the MY-RADs criteria, size measurements of focal lesions in MRI are now of relevance for response assessment in patients with monoclonal plasma cell disorders. Size changes of 1 or 2 mm are frequently observed due to uncertainty of the measurement only, while the actual focal lesion has not undergone any biological change. Size changes of at least 6 mm or more in  T 1  weighted or  T 2  weighted short tau inversion recovery sequences occur in only 5% or less of cases when the focal lesion has not undergone any biological change. Wennmann M, Grözinger M, Weru V, et al. Test-retest, inter- and intra-rater reproducibility of size measurements of focal bone marrow lesions in MRI in patients with multiple myeloma [published online ahead of print, 2023 Apr 12].  Br J Radiol . 2023;20220745. doi: 10.1259/bjr.20220745

Other examples of research significance

Moving beyond the formal statement of significance, here is how you can describe research significance more broadly within your paper.

Describing research impact in an Abstract of a paper:

Three-dimensional visualisation and quantification of the chondrocyte population within articular cartilage can be achieved across a field of view of several millimetres using laboratory-based micro-CT. The ability to map chondrocytes in 3D opens possibilities for research in fields from skeletal development through to medical device design and treatment of cartilage degeneration. Conclusions section of the abstract in my first paper .

In the Discussion section of a paper:

We report for the utility of a standard laboratory micro-CT scanner to visualise and quantify features of the chondrocyte population within intact articular cartilage in 3D. This study represents a complimentary addition to the growing body of evidence supporting the non-destructive imaging of the constituents of articular cartilage. This offers researchers the opportunity to image chondrocyte distributions in 3D without specialised synchrotron equipment, enabling investigations such as chondrocyte morphology across grades of cartilage damage, 3D strain mapping techniques such as digital volume correlation to evaluate mechanical properties  in situ , and models for 3D finite element analysis  in silico  simulations. This enables an objective quantification of chondrocyte distribution and morphology in three dimensions allowing greater insight for investigations into studies of cartilage development, degeneration and repair. One such application of our method, is as a means to provide a 3D pattern in the cartilage which, when combined with digital volume correlation, could determine 3D strain gradient measurements enabling potential treatment and repair of cartilage degeneration. Moreover, the method proposed here will allow evaluation of cartilage implanted with tissue engineered scaffolds designed to promote chondral repair, providing valuable insight into the induced regenerative process. The Discussion section of the paper is laced with references to research significance.

How is longer term research significance measured?

Looking beyond writing impact statements within papers, sometimes you’ll want to quantify the long term research significance of your work. For instance when applying for jobs.

The most obvious measure of a study’s long term research significance is the number of citations it receives from future publications. The thinking is that a study which receives more citations will have had more research impact, and therefore significance , than a study which received less citations. Citations can give a broad indication of how useful the work is to other researchers but citations aren’t really a good measure of significance.

Bear in mind that us researchers can be lazy folks and sometimes are simply looking to cite the first paper which backs up one of our claims. You can find studies which receive a lot of citations simply for packaging up the obvious in a form which can be easily found and referenced, for instance by having a catchy or optimised title.

Likewise, research activity varies wildly between fields. Therefore a certain study may have had a big impact on a particular field but receive a modest number of citations, simply because not many other researchers are working in the field.

Nevertheless, citations are a standard measure of significance and for better or worse it remains impressive for someone to be the first author of a publication receiving lots of citations.

Other measures for the research significance of a study include:

• Accolades: best paper awards at conferences, thesis awards, “most downloaded” titles for articles, press coverage.
• How much follow-on research the study creates. For instance, part of my PhD involved a novel material initially developed by another PhD student in the lab. That PhD student’s research had unlocked lots of potential new studies and now lots of people in the group were using the same material and developing it for different applications. The initial study may not receive a high number of citations yet long term it generated a lot of research activity.

That covers research significance, but you’ll often want to consider other types of significance for your study and we’ll cover those next.

Statistical Significance

What is the statistical significance of a study.

Often as part of a study you’ll carry out statistical tests and then state the statistical significance of your findings: think p-values eg <0.05. It is useful to describe the outcome of these tests within your report or paper, to give a measure of statistical significance.

Effectively you are trying to show whether the performance of your innovation is actually better than a control or baseline and not just chance. Statistical significance deserves a whole other post so I won’t go into a huge amount of depth here.

Things that make publication in  The BMJ  impossible or unlikely Internal validity/robustness of the study • It had insufficient statistical power, making interpretation difficult; • Lack of statistical power; The British Medical Journal’s guide for authors

Calculating statistical significance isn’t always necessary (or valid) for a study, such as if you have a very small number of samples, but it is a very common requirement for scientific articles.

Writing a journal article? Check the journal’s guide for authors to see what they expect. Generally if you have approximately five or more samples or replicates it makes sense to start thinking about statistical tests. Speak to your supervisor and lab mates for advice, and look at other published articles in your field.

How is statistical significance measured?

Statistical significance is quantified using p-values . Depending on your study design you’ll choose different statistical tests to compute the p-value.

A p-value of 0.05 is a common threshold value. The 0.05 means that there is a 1/20 chance that the difference in performance you’re reporting is just down to random chance.

• p-values above 0.05 mean that the result isn’t statistically significant enough to be trusted: it is too likely that the effect you’re showing is just luck.
• p-values less than or equal to 0.05 mean that the result is statistically significant. In other words: unlikely to just be chance, which is usually considered a good outcome.

Low p-values (eg p = 0.001) mean that it is highly unlikely to be random chance (1/1000 in the case of p = 0.001), therefore more statistically significant.

It is important to clarify that, although low p-values mean that your findings are statistically significant, it doesn’t automatically mean that the result is scientifically important. More on that in the next section on research significance.

How to describe the statistical significance of your study, with examples

In the first paper from my PhD I ran some statistical tests to see if different staining techniques (basically dyes) increased how well you could see cells in cow tissue using micro-CT scanning (a 3D imaging technique).

In your methods section you should mention the statistical tests you conducted and then in the results you will have statements such as:

Between mediums for the two scan protocols C/N [contrast to noise ratio] was greater for EtOH than the PBS in both scanning methods (both  p  < 0.0001) with mean differences of 1.243 (95% CI [confidence interval] 0.709 to 1.778) for absorption contrast and 6.231 (95% CI 5.772 to 6.690) for propagation contrast. … Two repeat propagation scans were taken of samples from the PTA-stained groups. No difference in mean C/N was found with either medium: PBS had a mean difference of 0.058 ( p  = 0.852, 95% CI -0.560 to 0.676), EtOH had a mean difference of 1.183 ( p  = 0.112, 95% CI 0.281 to 2.648). From the Results section of my first paper, available here . Square brackets added for this post to aid clarity.

From this text the reader can infer from the first paragraph that there was a statistically significant difference in using EtOH compared to PBS (really small p-value of <0.0001). However, from the second paragraph, the difference between two repeat scans was statistically insignificant for both PBS (p = 0.852) and EtOH (p = 0.112).

By conducting these statistical tests you have then earned your right to make bold statements, such as these from the discussion section:

Propagation phase-contrast increases the contrast of individual chondrocytes [cartilage cells] compared to using absorption contrast. From the Discussion section from the same paper.

Without statistical tests you have no evidence that your results are not just down to random chance.

Beyond describing the statistical significance of a study in the main body text of your work, you can also show it in your figures.

In figures such as bar charts you’ll often see asterisks to represent statistical significance, and “n.s.” to show differences between groups which are not statistically significant. Here is one such figure, with some subplots, from the same paper:

In this example an asterisk (*) between two bars represents p < 0.05. Two asterisks (**) represents p < 0.001 and three asterisks (***) represents p < 0.0001. This should always be stated in the caption of your figure since the values that each asterisk refers to can vary.

Now that we know if a study is showing statistically and research significance, let’s zoom out a little and consider the potential for commercial significance.

Commercial and Industrial Significance

What are commercial and industrial significance.

Moving beyond significance in relation to academia, your research may also have commercial or economic significance.

Simply put:

• Commercial significance: could the research be commercialised as a product or service? Perhaps the underlying technology described in your study could be licensed to a company or you could even start your own business using it.
• Industrial significance: more widely than just providing a product which could be sold, does your research provide insights which may affect a whole industry? Such as: revealing insights or issues with current practices, performance gains you don’t want to commercialise (e.g. solar power efficiency), providing suggested frameworks or improvements which could be employed industry-wide.

I’ve grouped these two together because there can certainly be overlap. For instance, perhaps your new technology could be commercialised whilst providing wider improvements for the whole industry.

Commercial and industrial significance are not relevant to most studies, so only write about it if you and your supervisor can think of reasonable routes to your work having an impact in these ways.

How are commercial and industrial significance measured?

Unlike statistical and research significances, the measures of commercial and industrial significance can be much more broad.

Here are some potential measures of significance:

Commercial significance:

• How much value does your technology bring to potential customers or users?
• How big is the potential market and how much revenue could the product potentially generate?
• Is the intellectual property protectable? i.e. patentable, or if not could the novelty be protected with trade secrets: if so publish your method with caution!
• If commercialised, could the product bring employment to a geographical area?

Industrial significance:

What impact could it have on the industry? For instance if you’re revealing an issue with something, such as unintended negative consequences of a drug , what does that mean for the industry and the public? This could be:

• Reduced overhead costs
• Better safety
• Faster production methods
• Improved scaleability

How to describe the commercial and industrial significance of a study, with examples

Commercial significance.

If your technology could be commercially viable, and you’ve got an interest in commercialising it yourself, it is likely that you and your university may not want to immediately publish the study in a journal.

You’ll probably want to consider routes to exploiting the technology and your university may have a “technology transfer” team to help researchers navigate the various options.

However, if instead of publishing a paper you’re submitting a thesis or dissertation then it can be useful to highlight the commercial significance of your work. In this instance you could include statements of commercial significance such as:

The measurement technology described in this study provides state of the art performance and could enable the development of low cost devices for aerospace applications. An example of commercial significance I invented for this post

Industrial significance

First, think about the industrial sectors who could benefit from the developments described in your study.

For example if you’re working to improve battery efficiency it is easy to think of how it could lead to performance gains for certain industries, like personal electronics or electric vehicles. In these instances you can describe the industrial significance relatively easily, based off your findings.

For example:

By utilising abundant materials in the described battery fabrication process we provide a framework for battery manufacturers to reduce dependence on rare earth components. Again, an invented example

For other technologies there may well be industrial applications but they are less immediately obvious and applicable. In these scenarios the best you can do is to simply reframe your research significance statement in terms of potential commercial applications in a broad way.

As a reminder: not all studies should address industrial significance, so don’t try to invent applications just for the sake of it!

Societal Significance

What is the societal significance of a study.

The most broad category of significance is the societal impact which could stem from it.

If you’re working in an applied field it may be quite easy to see a route for your research to impact society. For others, the route to societal significance may be less immediate or clear.

Studies can help with big issues facing society such as:

• Medical applications : vaccines, surgical implants, drugs, improving patient safety. For instance this medical device and drug combination I worked on which has a very direct route to societal significance.
• Political significance : Your research may provide insights which could contribute towards potential changes in policy or better understanding of issues facing society.
• Public health : for instance COVID-19 transmission and related decisions.
• Climate change : mitigation such as more efficient solar panels and lower cost battery solutions, and studying required adaptation efforts and technologies. Also, better understanding around related societal issues, for instance this study on the effects of temperature on hate speech.

How is societal significance measured?

Societal significance at a high level can be quantified by the size of its potential societal effect. Just like a lab risk assessment, you can think of it in terms of probability (or how many people it could help) and impact magnitude.

Societal impact = How many people it could help x the magnitude of the impact

Think about how widely applicable the findings are: for instance does it affect only certain people? Then think about the potential size of the impact: what kind of difference could it make to those people?

Between these two metrics you can get a pretty good overview of the potential societal significance of your research study.

How to describe the societal significance of a study, with examples

Quite often the broad societal significance of your study is what you’re setting the scene for in your Introduction. In addition to describing the existing literature, it is common to for the study’s motivation to touch on its wider impact for society.

For those of us working in healthcare research it is usually pretty easy to see a path towards societal significance.

Our CLOUT model has state-of-the-art performance in mortality prediction, surpassing other competitive NN models and a logistic regression model … Our results show that the risk factors identified by the CLOUT model agree with physicians’ assessment, suggesting that CLOUT could be used in real-world clinicalsettings. Our results strongly support that CLOUT may be a useful tool to generate clinical prediction models, especially among hospitalized and critically ill patient populations. Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

In other domains the societal significance may either take longer or be more indirect, meaning that it can be more difficult to describe the societal impact.

Even so, here are some examples I’ve found from studies in non-healthcare domains:

We examined food waste as an initial investigation and test of this methodology, and there is clear potential for the examination of not only other policy texts related to food waste (e.g., liability protection, tax incentives, etc.; Broad Leib et al., 2020) but related to sustainable fishing (Worm et al., 2006) and energy use (Hawken, 2017). These other areas are of obvious relevance to climate change… AI-Based Text Analysis for Evaluating Food Waste Policies

The continued development of state-of-the art NLP tools tailored to climate policy will allow climate researchers and policy makers to extract meaningful information from this growing body of text, to monitor trends over time and administrative units, and to identify potential policy improvements. BERT Classification of Paris Agreement Climate Action Plans

Top Tips For Identifying & Writing About the Significance of Your Study

• Writing a thesis? Describe the significance of your study in the Introduction and the Conclusion .
• Submitting a paper? Read the journal’s guidelines. If you’re writing a statement of significance for a journal, make sure you read any guidance they give for what they’re expecting.
• Take a step back from your research and consider your study’s main contributions.
• Read previously published studies in your field . Use this for inspiration and ideas on how to describe the significance of your own study
• Discuss the study with your supervisor and potential co-authors or collaborators and brainstorm potential types of significance for it.

Now you’ve finished reading up on the significance of a study you may also like my how-to guide for all aspects of writing your first research paper .

Writing an academic journal paper

I hope that you’ve learned something useful from this article about the significance of a study. If you have any more research-related questions let me know, I’m here to help.

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What is the Significance of the Study?

• By DiscoverPhDs
• August 25, 2020

• what the significance of the study means,
• why it’s important to include in your research work,
• where you would include it in your paper, thesis or dissertation,
• how you write one
• and finally an example of a well written section about the significance of the study.

What does Significance of the Study mean?

The significance of the study is a written statement that explains why your research was needed. It’s a justification of the importance of your work and impact it has on your research field, it’s contribution to new knowledge and how others will benefit from it.

Why is the Significance of the Study important?

The significance of the study, also known as the rationale of the study, is important to convey to the reader why the research work was important. This may be an academic reviewer assessing your manuscript under peer-review, an examiner reading your PhD thesis, a funder reading your grant application or another research group reading your published journal paper. Your academic writing should make clear to the reader what the significance of the research that you performed was, the contribution you made and the benefits of it.

How do you write the Significance of the Study?

When writing this section, first think about where the gaps in knowledge are in your research field. What are the areas that are poorly understood with little or no previously published literature? Or what topics have others previously published on that still require further work. This is often referred to as the problem statement.

The introduction section within the significance of the study should include you writing the problem statement and explaining to the reader where the gap in literature is.

Then think about the significance of your research and thesis study from two perspectives: (1) what is the general contribution of your research on your field and (2) what specific contribution have you made to the knowledge and who does this benefit the most.

For example, the gap in knowledge may be that the benefits of dumbbell exercises for patients recovering from a broken arm are not fully understood. You may have performed a study investigating the impact of dumbbell training in patients with fractures versus those that did not perform dumbbell exercises and shown there to be a benefit in their use. The broad significance of the study would be the improvement in the understanding of effective physiotherapy methods. Your specific contribution has been to show a significant improvement in the rate of recovery in patients with broken arms when performing certain dumbbell exercise routines.

This statement should be no more than 500 words in length when written for a thesis. Within a research paper, the statement should be shorter and around 200 words at most.

Significance of the Study: An example

Building on the above hypothetical academic study, the following is an example of a full statement of the significance of the study for you to consider when writing your own. Keep in mind though that there’s no single way of writing the perfect significance statement and it may well depend on the subject area and the study content.

Here’s another example to help demonstrate how a significance of the study can also be applied to non-technical fields:

The significance of this research lies in its potential to inform clinical practices and patient counseling. By understanding the psychological outcomes associated with non-surgical facial aesthetics, practitioners can better guide their patients in making informed decisions about their treatment plans. Additionally, this study contributes to the body of academic knowledge by providing empirical evidence on the effects of these cosmetic procedures, which have been largely anecdotal up to this point.

The statement of the significance of the study is used by students and researchers in academic writing to convey the importance of the research performed; this section is written at the end of the introduction and should describe the specific contribution made and who it benefits.

Need to write a list of abbreviations for a thesis or dissertation? Read our post to find out where they go, what to include and how to format them.

Considering whether to do an MBA or a PhD? If so, find out what their differences are, and more importantly, which one is better suited for you.

You’ve impressed the supervisor with your PhD application, now it’s time to ace your interview with these powerful body language tips.

Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.

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Self-plagiarism is when you try and pass off work that you’ve previously done as something that is completely new.

An abstract and introduction are the first two sections of your paper or thesis. This guide explains the differences between them and how to write them.

Dr Benzi gained his PhD in Data Science from the Ecole Polytechnique Fédérale de Lausanne in 2016. He is now a professional data artist and head of research at a tech company in Paris, as well as a trained public speaker.

Dr Cesário has a PhD in Digital Media from the University of Porto. She’s now pursuing an academic career as a Postdoc in HCI (Human-Computer Interaction) as part of an EU project. She’s also aiming to teach in subjects including User-Centered Design and Interactive Media Design.

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How To Write a Significance Statement for Your Research

A significance statement is an essential part of a research paper. It explains the importance and relevance of the study to the academic community and the world at large. To write a compelling significance statement, identify the research problem, explain why it is significant, provide evidence of its importance, and highlight its potential impact on future research, policy, or practice. A well-crafted significance statement should effectively communicate the value of the research to readers and help them understand why it matters.

Updated on May 4, 2023

A significance statement is a clearly stated, non-technical paragraph that explains why your research matters. It’s central in making the public aware of and gaining support for your research.

Write it in jargon-free language that a reader from any field can understand. Well-crafted, easily readable significance statements can improve your chances for citation and impact and make it easier for readers outside your field to find and understand your work.

Read on for more details on what a significance statement is, how it can enhance the impact of your research, and, of course, how to write one.

What is a significance statement in research?

A significance statement answers the question: How will your research advance scientific knowledge and impact society at large (as well as specific populations)? 

You might also see it called a “Significance of the study” statement. Some professional organizations in the STEM sciences and social sciences now recommended that journals in their disciplines make such statements a standard feature of each published article. Funding agencies also consider “significance” a key criterion for their awards.

Read some examples of significance statements from the Proceedings of the National Academy of Sciences (PNAS) here .

Depending upon the specific journal or funding agency’s requirements, your statement may be around 100 words and answer these questions:

1. What’s the purpose of this research?

2. What are its key findings?

3. Why do they matter?

4. Who benefits from the research results?

Readers will want to know: “What is interesting or important about this research?” Keep asking yourself that question.

Where to place the significance statement in your manuscript

Most journals ask you to place the significance statement before or after the abstract, so check with each journal’s guide. 

This article is focused on the formal significance statement, even though you’ll naturally highlight your project’s significance elsewhere in your manuscript. (In the introduction, you’ll set out your research aims, and in the conclusion, you’ll explain the potential applications of your research and recommend areas for future research. You’re building an overall case for the value of your work.)

Developing the significance statement

The main steps in planning and developing your statement are to assess the gaps to which your study contributes, and then define your work’s implications and impact.

Identify what gaps your study fills and what it contributes

Your literature review was a big part of how you planned your study. To develop your research aims and objectives, you identified gaps or unanswered questions in the preceding research and designed your study to address them.

Go back to that lit review and look at those gaps again. Review your research proposal to refresh your memory. Ask:

• How have my research findings advanced knowledge or provided notable new insights?
• How has my research helped to prove (or disprove) a hypothesis or answer a research question?
• Why are those results important?

Consider your study’s potential impact at two levels: 

• What contribution does my research make to my field?
• How does it specifically contribute to knowledge; that is, who will benefit the most from it?

Define the implications and potential impact

As you make notes, keep the reasons in mind for why you are writing this statement. Whom will it impact, and why?

The first audience for your significance statement will be journal reviewers when you submit your article for publishing. Many journals require one for manuscript submissions. Study the author’s guide of your desired journal to see its criteria ( here’s an example ). Peer reviewers who can clearly understand the value of your research will be more likely to recommend publication. 

Second, when you apply for funding, your significance statement will help justify why your research deserves a grant from a funding agency . The U.S. National Institutes of Health (NIH), for example, wants to see that a project will “exert a sustained, powerful influence on the research field(s) involved.” Clear, simple language is always valuable because not all reviewers will be specialists in your field.

Third, this concise statement about your study’s importance can affect how potential readers engage with your work. Science journalists and interested readers can promote and spread your work, enhancing your reputation and influence. Help them understand your work.

You’re now ready to express the importance of your research clearly and concisely. Time to start writing.

How to write a significance statement: Key elements 

When drafting your statement, focus on both the content and writing style.

• In terms of content, emphasize the importance, timeliness, and relevance of your research results. 
• Write the statement in plain, clear language rather than scientific or technical jargon. Your audience will include not just your fellow scientists but also non-specialists like journalists, funding reviewers, and members of the public. 

Follow the process we outline below to build a solid, well-crafted, and informative statement. 

Get started

Some suggested opening lines to help you get started might be:

• The implications of this study are… 
• Building upon previous contributions, our study moves the field forward because…
• Our study furthers previous understanding about…

Alternatively, you may start with a statement about the phenomenon you’re studying, leading to the problem statement.

Include these components

Next, draft some sentences that include the following elements. A good example, which we’ll use here, is a significance statement by Rogers et al. (2022) published in the Journal of Climate .

1. Briefly situate your research study in its larger context . Start by introducing the topic, leading to a problem statement. Here’s an example:

‘Heatwaves pose a major threat to human health, ecosystems, and human systems.”

2. State the research problem.

“Simultaneous heatwaves affecting multiple regions can exacerbate such threats. For example, multiple food-producing regions simultaneously undergoing heat-related crop damage could drive global food shortages.”

3. Tell what your study does to address it.

“We assess recent changes in the occurrence of simultaneous large heatwaves.”

4. Provide brief but powerful evidence to support the claims your statement is making , Use quantifiable terms rather than vague ones (e.g., instead of “This phenomenon is happening now more than ever,” see below how Rogers et al. (2022) explained it). This evidence intensifies and illustrates the problem more vividly:

“Such simultaneous heatwaves are 7 times more likely now than 40 years ago. They are also hotter and affect a larger area. Their increasing occurrence is mainly driven by warming baseline temperatures due to global heating, but changes in weather patterns contribute to disproportionate increases over parts of Europe, the eastern United States, and Asia.

5. Relate your study’s impact to the broader context , starting with its general significance to society—then, when possible, move to the particular as you name specific applications of your research findings. (Our example lacks this second level of application.) 

“Better understanding the drivers of weather pattern changes is therefore important for understanding future concurrent heatwave characteristics and their impacts.”

Refine your English

Don’t understate or overstate your findings – just make clear what your study contributes. When you have all the elements in place, review your draft to simplify and polish your language. Even better, get an expert AJE edit . Be sure to use “plain” language rather than academic jargon.

• Avoid acronyms, scientific jargon, and technical terms 
• Use active verbs in your sentence structure rather than passive voice (e.g., instead of “It was found that...”, use “We found...”)
• Make sentence structures short, easy to understand – readable
• Try to address only one idea in each sentence and keep sentences within 25 words (15 words is even better)
• Eliminate nonessential words and phrases (“fluff” and wordiness)

Enhance your significance statement’s impact

Always take time to review your draft multiple times. Make sure that you:

• Keep your language focused
• Provide evidence to support your claims
• Relate the significance to the broader research context in your field

After revising your significance statement, request feedback from a reading mentor about how to make it even clearer. If you’re not a native English speaker, seek help from a native-English-speaking colleague or use an editing service like AJE to make sure your work is at a native level.

Understanding the significance of your study

Your readers may have much less interest than you do in the specific details of your research methods and measures. Many readers will scan your article to learn how your findings might apply to them and their own research. 

Different types of significance

Your findings may have different types of significance, relevant to different populations or fields of study for different reasons. You can emphasize your work’s statistical, clinical, or practical significance. Editors or reviewers in the social sciences might also evaluate your work’s social or political significance.

Statistical significance means that the results are unlikely to have occurred randomly. Instead, it implies a true cause-and-effect relationship.

Clinical significance means that your findings are applicable for treating patients and improving quality of life.

Practical significance is when your research outcomes are meaningful to society at large, in the “real world.” Practical significance is usually measured by the study’s  effect size . Similarly, evaluators may attribute social or political significance to research that addresses “real and immediate” social problems.

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Home » Education » Significance of the Study – Ultimate Writing Guide with Example

Significance of the Study – Ultimate Writing Guide with Example

Zack Saigin

• August 29, 2023

The significance of the study in research pertains to the potential significance, relevance, or influence of the research results. It elucidates the ways in which the research contributes to the current knowledge base, addresses existing gaps, or provides new insights within a specific field of study. Whether you are composing a research paper or a thesis, a section known as the Significance of the Study ensures that your readers comprehend the impact of your work. Familiarize yourself with the process of effectively writing this crucial component of your research paper or thesis by following our comprehensive steps, guidelines, and examples.

What is Significance of the Study?

The significance of the study should capture the reader’s attention. When researchers comprehend the relevance and potential impact of the work, they can better appreciate it. Reviewers who assess the significance of the study also influence the decision to accept or reject the manuscript.

The Significance of the Study serves the purpose of providing you with an opportunity to elucidate to your readers how your research will contribute to the existing literature in your field. This is where you explain the reasons behind conducting your research and its importance to the community, individuals, and different institutions.

Clarifying the Relevance

Writing the significance of a study serves the fundamental purpose of effectively conveying the importance and value of the research being undertaken. Researchers must provide an overview of the study’s background and context, shedding light on the specific gap or problem they aim to address. Through this process, they not only establish the necessary context for their work but also lay a strong foundation upon which the rest of the study can be developed.

Guiding the Research Process

The significance of the study in research example acts as a guiding compass for researchers throughout their journey. It assists in refining research questions, structuring methodologies, and making informed decisions regarding data collection and analysis. When the purpose of the study is well-defined, researchers can navigate the complexities of the research process with better clarity and direction.

Justifying Resource Allocation

In the academic realm, finite resources such as time, funding, and expertise are available. Writing the significance of a study is a means to justify the allocation of these valuable resources. By showcasing the potential contributions and impacts of the research, researchers can demonstrate why their work deserves support and investment.

Bridging the Gap

In academia, there are limited resources like time, funding, and expertise. Articulating the significance of the study serves to validate the distribution of these precious resources. By highlighting the potential benefits and effects of the research, scholars can show why their work merits backing and investment.

Types of Significance of the Study

The significance of the study encompasses several aspects that can take different shapes, each contributing to the overall value and relevance of research. In this article, we will delve into the different forms of significance that a study can possess, illuminating the diverse ways in which research can have an impact on academia, society, and more.

Theoretical Significance

At the core of many studies lies theoretical significance. This kind of significance emerges when a study contributes to the advancement of theoretical frameworks, models, or paradigms within a specific discipline. By questioning existing theories, proposing new ones, or refining existing concepts, researchers enrich the intellectual landscape and shape the future discussions in their field.

Practical Significance

Practical significance arises when the findings of a study have direct applications in real-world contexts. Whether it involves providing insights that inform policymaking, enhancing clinical practices in healthcare, or optimizing business strategies, research with practical significance directly affects how we live, work, and make decisions across various domains.

Social Significance

Certain studies hold social significance as they address issues that deeply resonate with society. Research exploring topics such as inequality, discrimination, environmental sustainability, or mental health can draw attention to crucial societal challenges. By shedding light on these issues, researchers contribute to raising awareness, fostering empathy, and inspiring collective action.

How to Write Significance of the Study?

Significance of the Study” section in a research paper, thesis, or dissertation:

Background: 

Start by providing some background information about your study. This can include a brief introduction to your subject area, the current state of research in that field, and the specific problem or question that your study focuses on.

Identify the Gap: 

Demonstrate the existence of a gap in the existing literature or knowledge that requires attention, and explain how your study fills that gap. The gap may be a lack of significance of research on a specific topic, inconsistent results from previous studies, or a new problem that hasn’t been investigated yet.

State the Purpose of Your Study: 

Clearly state the main objective of your research. You can frame the significance of the study as a solution to the problem or gap that you identified earlier.

Explain the Significance:

Now, describe the potential impact of your study. You can highlight how your research contributes to the existing knowledge, addresses a significance of research gap, provides a new or improved solution to a problem, influences policies or practices, or leads to advancements in a specific field or industry. It’s important to make these claims realistically, considering the scope and limitations of your study.

Identify Beneficiaries: 

Identify who will benefit from your study. This could include other researchers, practitioners in your field, policy-makers, communities, businesses, or others. Explain how your findings could be used and by whom.

Future Implications: 

Let’s explore the implications of your study for future research. This may involve unanswered questions, newly raised inquiries, or potential methodologies that can be suggested based on your study.

Significance of the Study Example

For instance, consider the significance of a study presented in the following fictional example:

Significance in the Introduction

Our understanding of the impact of Miyawaki forests on local biodiversity in urban housing complexes is limited. To date, no formal investigations have been conducted to examine their negative effects on insect activity, populations, or diversity. In our study, we compared the influence of Miyawaki forests on local pollinator activity within urban dwellings. The results of this significance of research can enhance the development of this afforestation technique, ensuring a harmonious coexistence with local fauna, especially pollinators, which are highly susceptible to microclimatic changes.

Significance in the Conclusion

The findings from our study offer valuable insights that can guide and inform the implementation of Miyawaki afforestation in urban dwellings. We have demonstrated the need for urban planning and landscaping policies to consider potential declines in order to mitigate any adverse effects.

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Home » Feature » Thesis » Significance of the Study Samples | Writing Tips

Significance of the Study Samples | Writing Tips

When you write a thesis , there is a section there that is allocated for the significance of the study. This article will provide different  significance of the study examples and will discuss tips on how to write this part.

Tips in Writing the Significance of the Study

Here are the tips that may be helpful when writing the significance of the study. These tips will tell you the basic components expected to be seen in the significance of the study content.

1. Refer to the Problem Statement

In writing the significance of the study, always refer to the statement of the problem. This way, you can clearly define the contribution of your study. To simplify, your research should answer this question, “What are the benefits or advantages of the study based on the statement of the problem?”

Start by explaining the problem that your study aimed to solve. For example, if you conducted a research study on obesity rates among elementary school students, you would start by explaining that obesity is a major health concern in the Philippines and discuss why it is important to find ways to address this issue.

2. Write it from General to Particular

Determine the specific contribution of your thesis study to society as well as to the individual. Write it deductively, starting from general to specific. Start your significance of the study broadly then narrow it out to a specific group or person. This is done by looking into the general contribution of your study, such as its importance to society as a whole, then moving towards its contribution to individuals like yourself as a researcher.

Discuss how your study fills a gap in the literature. If you conducted an experiment on the effects of a certain type of food on children, for example, you might start by explaining that no research has been done on this topic before. This section would also include a discussion about why your study is important.

Your problem statement might help you determine the unique contribution of your research. This can be accomplished by ensuring that the aim of the problem and the study’s objectives are identical. For instance, if your research question is “Is there a significant relationship between the use of Facebook Messenger and the performance of students in English spelling? “, you could write as one of the contributions of your study: “The study will identify common errors in spelling and grammar by Messenger users and recommend its appropriate use in a way that can improve performance in spelling.”

You may also read: How to Make a Conceptual Framework

Significance of the Study Samples

Here are some examples to help you draft your own introduction:

Title: Number of Clinical Internship Hours: A Determinant of Student’s Effectiveness and Skill  Acquisition in the Hospital Area for Velez College Students

Significance of the study.

The results of the study will be of great benefit to the following:

College of Nursing Dean . Data given will provide the dean with information on how the number of duty hours in a week affects the student’s academic and RLE performance. The results will enable the dean to improve the scheduling of RLE and different academic subjects. Data gathered will help the dean initiate collaboration among faculty and chairpersons to help plan the advancement of nursing education in relation to the new curriculum.

Clinical Instructors . The results of the study will help the clinical instructors evaluate the quality of care rendered by the nursing students, academic performance, attitude and skills acquired in relation to the number of hours given in a week. Results would also develop the clinical instructor’s teaching-learning and evaluating strategies in enhancing knowledge, skills and attitude to the students in the time frame given.

Students . This study will provide information regarding which time arrangement is effective: 8-hr of clinical internship from the 5-hr clinical internship with additional academic classes. This study will evaluate the academic performance, the student nurse’s attitude and approach, the skills learned in the clinical area, and the quality of care rendered in the given time frame. Data gathered will also help the students improve both academic and clinical performance.

Velez College . This study will improve the school in the development of nursing education. This study will foster new ways of enhancing knowledge, skills, and attitude, thus preparing globally-competitive nurses in the future. This study will also help in the advancement of school management, clinical leadership, and the teaching-evaluation approach.

Title: The Effectiveness of Isuzu’s Blue Power Technology in Fuel Efficiency of Diesel Engines

The generalization of this study would be a great contribution to the vast knowledge in relation to the brand awareness of Isuzu’s Blue Power Euro 4 Technology. Furthermore, the results of this investigation could be highly significant and beneficial for the following:

Current Customers

They refer to consumers that have already bought products from Isuzu. They are considered to be the main beneficiaries of the business. The findings of this study would provide them with adequate information about the product, most especially for those clients that have already bought units with the Blue Power Euro 4 Technology but have no idea of its benefits and advantages.

Potential Customer

They are the consumers that have not yet purchased this brand. This study aims to give them insights and overviews of the product and would help them choose the right variant to purchase.

They are the main beneficiaries of this study, which may help them to improve their marketing strategies. It would provide substantial data to the business that they could make use of in boosting their sales. Moreover, developing brand awareness will cater to more demands and loyalty in the future.

For they also play a vital role in the business and as consumers. This research would give them the idea that such private vehicles exist, which helps them to conserve energy rather than exploit it. Hence, giving back to the community and making it a better place to live.

Proponents of the Study

This refers to the students conducting the study. They will find self-fulfillment and gain knowledge and skills in this study. This study will help and inspire more researchers to be more innovative and creative in their future endeavors.

Future Researchers

This study will serve as a reference for researchers on the subject of research in the field of marketing. This will serve as a guide to further developing the research with the connection to the variables used.

The significance of a study is a key component of a strong scientific paper. By following these tips, you can create a clear and concise explanation of the importance of your work. I hope that these tips and samples will help you create a perfect Significance of the Study for your thesis. Apply these tips to prevent your mind from wandering aimlessly as you draft the significance of the study. It will allow you to focus on the next section of your thesis, helping you finish it on time. Good luck!

good and interesting

thanks for information

Very useful. Thanks

Thank you for a very informative article

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How To Write A Dissertation Introduction Chapter:

The 7 essential ingredients of an a-grade introduction.

By: Derek Jansen (MBA). Reviewed By Dr Eunice Rautenbach (D. Tech) | March 2020

If you’re reading this, you’re probably at the daunting early phases of writing up the introduction chapter of your dissertation or thesis. It can be intimidating, I know. 

In this post, we’ll look at the 7 essential ingredients of a strong dissertation or thesis introduction chapter, as well as the essential things you need to keep in mind as you craft each section. We’ll also share some useful tips to help you optimize your approach.

Overview: How To Write An Introduction Chapter

• Understand the purpose and function of the intro chapter
• Craft an enticing and engaging opening section
• Provide a background and context to the study
• Clearly define the research problem
• State your research aims, objectives and questions
• Explain the significance of your study
• Identify the limitations of your research
• Outline the structure of your dissertation or thesis

A quick sidenote:

You’ll notice that I’ve used the words dissertation and thesis interchangeably. While these terms reflect different levels of research – for example, Masters vs PhD-level research – the introduction chapter generally contains the same 7 essential ingredients regardless of level. So, in this post, dissertation introduction equals thesis introduction.

Start with why.

To craft a high-quality dissertation or thesis introduction chapter, you need to understand exactly what this chapter needs to achieve. In other words, what’s its purpose ? As the name suggests, the introduction chapter needs to introduce the reader to your research so that they understand what you’re trying to figure out, or what problem you’re trying to solve. More specifically, you need to answer four important questions in your introduction chapter.

These questions are:

• What will you be researching? (in other words, your research topic)
• Why is that worthwhile? (in other words, your justification)
• What will the scope of your research be? (in other words, what will you cover and what won’t you cover)
• What will the limitations of your research be? (in other words, what will the potential shortcomings of your research be?)

Simply put, your dissertation’s introduction chapter needs to provide an overview of your planned research , as well as a clear rationale for it. In other words, this chapter has to explain the “what” and the “why” of your research – what’s it all about and why’s that important.

Simple enough, right?

Well, the trick is finding the appropriate depth of information. As the researcher, you’ll be extremely close to your topic and this makes it easy to get caught up in the minor details. While these intricate details might be interesting, you need to write your introduction chapter on more of a “need-to-know” type basis, or it will end up way too lengthy and dense. You need to balance painting a clear picture with keeping things concise. Don’t worry though – you’ll be able to explore all the intricate details in later chapters.

Now that you understand what you need to achieve from your introduction chapter, we can get into the details. While the exact requirements for this chapter can vary from university to university, there are seven core components that most universities will require. We call these the seven essential ingredients . 

The 7 Essential Ingredients

• The opening section – where you’ll introduce the reader to your research in high-level terms
• The background to the study – where you’ll explain the context of your project
• The research problem – where you’ll explain the “gap” that exists in the current research
• The research aims , objectives and questions – where you’ll clearly state what your research will aim to achieve
• The significance (or justification) – where you’ll explain why your research is worth doing and the value it will provide to the world
• The limitations – where you’ll acknowledge the potential limitations of your project and approach
• The structure – where you’ll briefly outline the structure of your dissertation or thesis to help orient the reader

By incorporating these seven essential ingredients into your introduction chapter, you’ll comprehensively cover both the “ what ” and the “ why ” I mentioned earlier – in other words, you’ll achieve the purpose of the chapter.

Side note – you can also use these 7 ingredients in this order as the structure for your chapter to ensure a smooth, logical flow. This isn’t essential, but, generally speaking, it helps create an engaging narrative that’s easy for your reader to understand. If you’d like, you can also download our free introduction chapter template here.

Alright – let’s look at each of the ingredients now.

#1 – The Opening Section

The very first essential ingredient for your dissertation introduction is, well, an introduction or opening section. Just like every other chapter, your introduction chapter needs to start by providing a brief overview of what you’ll be covering in the chapter.

This section needs to engage the reader with clear, concise language that can be easily understood and digested. If the reader (your marker!) has to struggle through it, they’ll lose interest, which will make it harder for you to earn marks. Just because you’re writing an academic paper doesn’t mean you can ignore the basic principles of engaging writing used by marketers, bloggers, and journalists. At the end of the day, you’re all trying to sell an idea – yours is just a research idea.

So, what goes into this opening section?

Well, while there’s no set formula, it’s a good idea to include the following four foundational sentences in your opening section:

1 – A sentence or two introducing the overall field of your research.

For example:

“Organisational skills development involves identifying current or potential skills gaps within a business and developing programs to resolve these gaps. Management research, including X, Y and Z, has clearly established that organisational skills development is an essential contributor to business growth.”

2 – A sentence introducing your specific research problem.

“However, there are conflicting views and an overall lack of research regarding how best to manage skills development initiatives in highly dynamic environments where subject knowledge is rapidly and continuously evolving – for example, in the website development industry.”

3 – A sentence stating your research aims and objectives.

“This research aims to identify and evaluate skills development approaches and strategies for highly dynamic industries in which subject knowledge is continuously evolving.”.

4 – A sentence outlining the layout of the chapter.

“This chapter will provide an introduction to the study by first discussing the background and context, followed by the research problem, the research aims, objectives and questions, the significance and finally, the limitations.”

As I mentioned, this opening section of your introduction chapter shouldn’t be lengthy . Typically, these four sentences should fit neatly into one or two paragraphs, max. What you’re aiming for here is a clear, concise introduction to your research – not a detailed account.

PS – If some of this terminology sounds unfamiliar, don’t stress – I’ll explain each of the concepts later in this post.

#2 – Background to the study

Now that you’ve provided a high-level overview of your dissertation or thesis, it’s time to go a little deeper and lay a foundation for your research topic. This foundation is what the second ingredient is all about – the background to your study.

So, what is the background section all about?

Well, this section of your introduction chapter should provide a broad overview of the topic area that you’ll be researching, as well as the current contextual factors . This could include, for example, a brief history of the topic, recent developments in the area, key pieces of research in the area and so on. In other words, in this section, you need to provide the relevant background information to give the reader a decent foundational understanding of your research area.

Let’s look at an example to make this a little more concrete.

If we stick with the skills development topic I mentioned earlier, the background to the study section would start by providing an overview of the skills development area and outline the key existing research. Then, it would go on to discuss how the modern-day context has created a new challenge for traditional skills development strategies and approaches. Specifically, that in many industries, technical knowledge is constantly and rapidly evolving, and traditional education providers struggle to keep up with the pace of new technologies.

Importantly, you need to write this section with the assumption that the reader is not an expert in your topic area. So, if there are industry-specific jargon and complex terminology, you should briefly explain that here , so that the reader can understand the rest of your document.

Don’t make assumptions about the reader’s knowledge – in most cases, your markers will not be able to ask you questions if they don’t understand something. So, always err on the safe side and explain anything that’s not common knowledge.

#3 – The research problem

Now that you’ve given your reader an overview of your research area, it’s time to get specific about the research problem that you’ll address in your dissertation or thesis. While the background section would have alluded to a potential research problem (or even multiple research problems), the purpose of this section is to narrow the focus and highlight the specific research problem you’ll focus on.

But, what exactly is a research problem, you ask?

Well, a research problem can be any issue or question for which there isn’t already a well-established and agreed-upon answer in the existing research. In other words, a research problem exists when there’s a need to answer a question (or set of questions), but there’s a gap in the existing literature , or the existing research is conflicting and/or inconsistent.

So, to present your research problem, you need to make it clear what exactly is missing in the current literature and why this is a problem . It’s usually a good idea to structure this discussion into three sections – specifically:

• What’s already well-established in the literature (in other words, the current state of research)
• What’s missing in the literature (in other words, the literature gap)
• Why this is a problem (in other words, why it’s important to fill this gap)

Let’s look at an example of this structure using the skills development topic.

Organisational skills development is critically important for employee satisfaction and company performance (reference). Numerous studies have investigated strategies and approaches to manage skills development programs within organisations (reference).

(this paragraph explains what’s already well-established in the literature)

However, these studies have traditionally focused on relatively slow-paced industries where key skills and knowledge do not change particularly often. This body of theory presents a problem for industries that face a rapidly changing skills landscape – for example, the website development industry – where new platforms, languages and best practices emerge on an extremely frequent basis.

(this paragraph explains what’s missing from the literature)

As a result, the existing research is inadequate for industries in which essential knowledge and skills are constantly and rapidly evolving, as it assumes a slow pace of knowledge development. Industries in such environments, therefore, find themselves ill-equipped in terms of skills development strategies and approaches.

(this paragraph explains why the research gap is problematic)

As you can see in this example, in a few lines, we’ve explained (1) the current state of research, (2) the literature gap and (3) why that gap is problematic. By doing this, the research problem is made crystal clear, which lays the foundation for the next ingredient.

#4 – The research aims, objectives and questions

Now that you’ve clearly identified your research problem, it’s time to identify your research aims and objectives , as well as your research questions . In other words, it’s time to explain what you’re going to do about the research problem.

So, what do you need to do here?

Well, the starting point is to clearly state your research aim (or aims) . The research aim is the main goal or the overarching purpose of your dissertation or thesis. In other words, it’s a high-level statement of what you’re aiming to achieve.

Let’s look at an example, sticking with the skills development topic:

“Given the lack of research regarding organisational skills development in fast-moving industries, this study will aim to identify and evaluate the skills development approaches utilised by web development companies in the UK”.

As you can see in this example, the research aim is clearly outlined, as well as the specific context in which the research will be undertaken (in other words, web development companies in the UK).

Next up is the research objective (or objectives) . While the research aims cover the high-level “what”, the research objectives are a bit more practically oriented, looking at specific things you’ll be doing to achieve those research aims.

Let’s take a look at an example of some research objectives (ROs) to fit the research aim.

• RO1 – To identify common skills development strategies and approaches utilised by web development companies in the UK.
• RO2 – To evaluate the effectiveness of these strategies and approaches.
• RO3 – To compare and contrast these strategies and approaches in terms of their strengths and weaknesses.

As you can see from this example, these objectives describe the actions you’ll take and the specific things you’ll investigate in order to achieve your research aims. They break down the research aims into more specific, actionable objectives.

The final step is to state your research questions . Your research questions bring the aims and objectives another level “down to earth”. These are the specific questions that your dissertation or theses will seek to answer. They’re not fluffy, ambiguous or conceptual – they’re very specific and you’ll need to directly answer them in your conclusions chapter .

The research questions typically relate directly to the research objectives and sometimes can look a bit obvious, but they are still extremely important. Let’s take a look at an example of the research questions (RQs) that would flow from the research objectives I mentioned earlier.

• RQ1 – What skills development strategies and approaches are currently being used by web development companies in the UK?
• RQ2 – How effective are each of these strategies and approaches?
• RQ3 – What are the strengths and weaknesses of each of these strategies and approaches?

As you can see, the research questions mimic the research objectives , but they are presented in question format. These questions will act as the driving force throughout your dissertation or thesis – from the literature review to the methodology and onward – so they’re really important.

A final note about this section – it’s really important to be clear about the scope of your study (more technically, the delimitations ). In other words, what you WILL cover and what you WON’T cover. If your research aims, objectives and questions are too broad, you’ll risk losing focus or investigating a problem that is too big to solve within a single dissertation.

Simply put, you need to establish clear boundaries in your research. You can do this, for example, by limiting it to a specific industry, country or time period. That way, you’ll ringfence your research, which will allow you to investigate your topic deeply and thoroughly – which is what earns marks!

Need a helping hand?

#5 – Significance

Now that you’ve made it clear what you’ll be researching, it’s time to make a strong argument regarding your study’s importance and significance . In other words, now that you’ve covered the what, it’s time to cover the why – enter essential ingredient number 5 – significance.

Of course, by this stage, you’ve already briefly alluded to the importance of your study in your background and research problem sections, but you haven’t explicitly stated how your research findings will benefit the world . So, now’s your chance to clearly state how your study will benefit either industry , academia , or – ideally – both . In other words, you need to explain how your research will make a difference and what implications it will have.

Let’s take a look at an example.

“This study will contribute to the body of knowledge on skills development by incorporating skills development strategies and approaches for industries in which knowledge and skills are rapidly and constantly changing. This will help address the current shortage of research in this area and provide real-world value to organisations operating in such dynamic environments.”

As you can see in this example, the paragraph clearly explains how the research will help fill a gap in the literature and also provide practical real-world value to organisations.

This section doesn’t need to be particularly lengthy, but it does need to be convincing . You need to “sell” the value of your research here so that the reader understands why it’s worth committing an entire dissertation or thesis to it. This section needs to be the salesman of your research. So, spend some time thinking about the ways in which your research will make a unique contribution to the world and how the knowledge you create could benefit both academia and industry – and then “sell it” in this section.

#6 – The limitations

Now that you’ve “sold” your research to the reader and hopefully got them excited about what’s coming up in the rest of your dissertation, it’s time to briefly discuss the potential limitations of your research.

But you’re probably thinking, hold up – what limitations? My research is well thought out and carefully designed – why would there be limitations?

Well, no piece of research is perfect . This is especially true for a dissertation or thesis – which typically has a very low or zero budget, tight time constraints and limited researcher experience. Generally, your dissertation will be the first or second formal research project you’ve ever undertaken, so it’s unlikely to win any research awards…

Simply put, your research will invariably have limitations. Don’t stress yourself out though – this is completely acceptable (and expected). Even “professional” research has limitations – as I said, no piece of research is perfect. The key is to recognise the limitations upfront and be completely transparent about them, so that future researchers are aware of them and can improve the study’s design to minimise the limitations and strengthen the findings.

Generally, you’ll want to consider at least the following four common limitations. These are:

• Your scope – for example, perhaps your focus is very narrow and doesn’t consider how certain variables interact with each other.
• Your research methodology – for example, a qualitative methodology could be criticised for being overly subjective, or a quantitative methodology could be criticised for oversimplifying the situation (learn more about methodologies here ).
• Your resources – for example, a lack of time, money, equipment and your own research experience.
• The generalisability of your findings – for example, the findings from the study of a specific industry or country can’t necessarily be generalised to other industries or countries.

Don’t be shy here. There’s no use trying to hide the limitations or weaknesses of your research. In fact, the more critical you can be of your study, the better. The markers want to see that you are aware of the limitations as this demonstrates your understanding of research design – so be brutal.

#7 – The structural outline

Now that you’ve clearly communicated what your research is going to be about, why it’s important and what the limitations of your research will be, the final ingredient is the structural outline.The purpose of this section is simply to provide your reader with a roadmap of what to expect in terms of the structure of your dissertation or thesis.

In this section, you’ll need to provide a brief summary of each chapter’s purpose and contents (including the introduction chapter). A sentence or two explaining what you’ll do in each chapter is generally enough to orient the reader. You don’t want to get too detailed here – it’s purely an outline, not a summary of your research.

Let’s look at an example:

In Chapter One, the context of the study has been introduced. The research objectives and questions have been identified, and the value of such research argued. The limitations of the study have also been discussed.

In Chapter Two, the existing literature will be reviewed and a foundation of theory will be laid out to identify key skills development approaches and strategies within the context of fast-moving industries, especially technology-intensive industries.

In Chapter Three, the methodological choices will be explored. Specifically, the adoption of a qualitative, inductive research approach will be justified, and the broader research design will be discussed, including the limitations thereof.

So, as you can see from the example, this section is simply an outline of the chapter structure, allocating a short paragraph to each chapter. Done correctly, the outline will help your reader understand what to expect and reassure them that you’ll address the multiple facets of the study.

By the way – if you’re unsure of how to structure your dissertation or thesis, be sure to check out our video post which explains dissertation structure .

Keep calm and carry on.

Hopefully you feel a bit more prepared for this challenge of crafting your dissertation or thesis introduction chapter now. Take a deep breath and remember that Rome wasn’t built in a day – conquer one ingredient at a time and you’ll be firmly on the path to success.

Let’s quickly recap – the 7 ingredients are:

• The opening section – where you give a brief, high-level overview of what your research will be about.
• The study background – where you introduce the reader to key theory, concepts and terminology, as well as the context of your study.
• The research problem – where you explain what the problem with the current research is. In other words, the research gap.
• The research aims , objectives and questions – where you clearly state what your dissertation will investigate.
• The significance – where you explain what value your research will provide to the world.
• The limitations – where you explain what the potential shortcomings and limitations of your research may be.
• The structural outline – where you provide a high-level overview of the structure of your document

If you bake these ingredients into your dissertation introduction chapter, you’ll be well on your way to building an engaging introduction chapter that lays a rock-solid foundation for the rest of your document.

Remember, while we’ve covered the essential ingredients here, there may be some additional components that your university requires, so be sure to double-check your project brief!

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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42 Comments

Thanks very much for such an insight. I feel confident enough in undertaking my thesis on the survey;The future of facial recognition and learning non verbal interaction

Glad to hear that. Good luck with your thesis!

Thanks very much for such an insight. I feel confident now undertaking my thesis; The future of facial recognition and learning non verbal interaction.

Thanks so much for this article. I found myself struggling and wasting a lot of time in my thesis writing but after reading this article and watching some of your youtube videos, I now have a clear understanding of what is required for a thesis.

Thank you Derek, i find your each post so useful. Keep it up.

Thank you so much Derek ,for shedding the light and making it easier for me to handle the daunting task of academic writing .

Thanks do much Dereck for the comprehensive guide. It will assist me queit a lot in my thesis.

thanks a lot for helping

i LOVE the gifs, such a fun way to engage readers. thanks for the advice, much appreciated

Thanks a lot Derek! It will be really useful to the beginner in research!

You’re welcome

This is a well written, easily comprehensible, simple introduction to the basics of a Research Dissertation../the need to keep the reader in mind while writing the dissertation is an important point that is covered../ I appreciate the efforts of the author../

The instruction given are perfect and clear. I was supposed to take the course , unfortunately in Nepal the service is not avaialble.However, I am much more hopeful that you will provide require documents whatever you have produced so far.

Thank you very much

Thanks so much ❤️😘 I feel am ready to start writing my research methodology

This is genuinely the most effective advice I have ever been given regarding academia. Thank you so much!

This is one of the best write up I have seen in my road to PhD thesis. regards, this write up update my knowledge of research

I was looking for some good blogs related to Education hopefully your article will help. Thanks for sharing.

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You just saved me from going astray in writing a Dissertation for my undergraduate studies. I could not be more grateful for such a relevant guide like this. Thank you so much.

Thank you so much Derek, this has been extremely helpful!!

I do have one question though, in the limitations part do you refer to the scope as the focus of the research on a specific industry/country/chronological period? I assume that in order to talk about whether or not the research could be generalized, the above would need to be already presented and described in the introduction.

Thank you again!

Phew! You have genuinely rescued me. I was stuck how to go about my thesis. Now l have started. Thank you.

This is the very best guide in anything that has to do with thesis or dissertation writing. The numerous blends of examples and detailed insights make it worth a read and in fact, a treasure that is worthy to be bookmarked.

Thanks a lot for this masterpiece!

Powerful insight. I can now take a step

Thank you very much for these valuable introductions to thesis chapters. I saw all your videos about writing the introduction, discussion, and conclusion chapter. Then, I am wondering if we need to explain our research limitations in all three chapters, introduction, discussion, and conclusion? Isn’t it a bit redundant? If not, could you please explain how can we write in different ways? Thank you.

Excellent!!! Thank you…

Thanks for this informative content. I have a question. The research gap is mentioned in both the introduction and literature section. I would like to know how can I demonstrate the research gap in both sections without repeating the contents?

I’m incredibly grateful for this invaluable content. I’ve been dreading compiling my postgrad thesis but breaking each chapter down into sections has made it so much easier for me to engage with the material without feeling overwhelmed. After relying on your guidance, I’m really happy with how I’ve laid out my introduction.

Thank you for the informative content you provided

Hi Derrick and Team, thank you so much for the comprehensive guide on how to write a dissertation or a thesis introduction section. For some of us first-timers, it is a daunting task. However, the instruction with relevant examples makes it clear and easy to follow through. Much appreciated.

It was so helpful. God Bless you. Thanks very much

I thank you Grad coach for your priceless help. I have two questions I have learned from your video the limitations of the research presented in chapter one. but in another video also presented in chapter five. which chapter limitation should be included? If possible, I need your answer since I am doing my thesis. how can I explain If I am asked what is my motivation for this research?

Thank you guys for the great work you are doing. Honestly, you have made the research to be interesting and simplified. Even a novice will easily grasp the ideas you put forward, Thank you once again.

Excellent piece!

I feel like just settling for a good topic is usually the hardest part.

Thank you so much. My confidence has been completely destroyed during my first year of PhD and you have helped me pull myself together again

Happy to help 🙂

I am so glad I ran into your resources and did not waste time doing the wrong this. Research is now making so much sense now.

Gratitude to Derrick and the team I was looking for a solid article that would aid me in drafting the thesis’ introduction. I felt quite happy when I came across the piece you wrote because it was so well-written and insightful. I wish you success in the future.

thank you so much. God Bless you

Thank you so much Grad Coach for these helpful insights. Now I can get started, with a great deal of confidence.

It’s ‘alluded to’ not ‘eluded to’.

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• Writing Tips

How to Discuss the Significance of Your Research

• 6-minute read
• 10th April 2023

Introduction

Research papers can be a real headache for college students . As a student, your research needs to be credible enough to support your thesis statement. You must also ensure you’ve discussed the literature review, findings, and results.

However, it’s also important to discuss the significance of your research . Your potential audience will care deeply about this. It will also help you conduct your research. By knowing the impact of your research, you’ll understand what important questions to answer.

If you’d like to know more about the impact of your research, read on! We’ll talk about why it’s important and how to discuss it in your paper.

What Is the Significance of Research?

This is the potential impact of your research on the field of study. It includes contributions from new knowledge from the research and those who would benefit from it. You should present this before conducting research, so you need to be aware of current issues associated with the thesis before discussing the significance of the research.

Why Does the Significance of Research Matter?

Potential readers need to know why your research is worth pursuing. Discussing the significance of research answers the following questions:

●  Why should people read your research paper ?

●  How will your research contribute to the current knowledge related to your topic?

●  What potential impact will it have on the community and professionals in the field?

Not including the significance of research in your paper would be like a knight trying to fight a dragon without weapons.

Where Do I Discuss the Significance of Research in My Paper?

As previously mentioned, the significance of research comes before you conduct it. Therefore, you should discuss the significance of your research in the Introduction section. Your reader should know the problem statement and hypothesis beforehand.

Steps to Discussing the Significance of Your Research

Discussing the significance of research might seem like a loaded question, so we’ve outlined some steps to help you tackle it.

Step 1: The Research Problem

The problem statement can reveal clues about the outcome of your research. Your research should provide answers to the problem, which is beneficial to all those concerned. For example, imagine the problem statement is, “To what extent do elementary and high school teachers believe cyberbullying affects student performance?”

Learning teachers’ opinions on the effects of cyberbullying on student performance could result in the following:

●  Increased public awareness of cyberbullying in elementary and high schools

●  Teachers’ perceptions of cyberbullying negatively affecting student performance

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●  Whether cyberbullying is more prevalent in elementary or high schools

The research problem will steer your research in the right direction, so it’s best to start with the problem statement.

Step 2: Existing Literature in the Field

Think about current information on your topic, and then find out what information is missing. Are there any areas that haven’t been explored? Your research should add new information to the literature, so be sure to state this in your discussion. You’ll need to know the current literature on your topic anyway, as this is part of your literature review section .

Step 3: Your Research’s Impact on Society

Inform your readers about the impact on society your research could have on it. For example, in the study about teachers’ opinions on cyberbullying, you could mention that your research will educate the community about teachers’ perceptions of cyberbullying as it affects student performance. As a result, the community will know how many teachers believe cyberbullying affects student performance.

You can also mention specific individuals and institutions that would benefit from your study. In the example of cyberbullying, you might indicate that school principals and superintendents would benefit from your research.

Step 4: Future Studies in the Field

Next, discuss how the significance of your research will benefit future studies, which is especially helpful for future researchers in your field. In the example of cyberbullying affecting student performance, your research could provide further opportunities to assess teacher perceptions of cyberbullying and its effects on students from larger populations. This prepares future researchers for data collection and analysis.

Discussing the significance of your research may sound daunting when you haven’t conducted it yet. However, an audience might not read your paper if they don’t know the significance of the research. By focusing on the problem statement and the research benefits to society and future studies, you can convince your audience of the value of your research.

Remember that everything you write doesn’t have to be set in stone. You can go back and tweak the significance of your research after conducting it. At first, you might only include general contributions of your study, but as you research, your contributions will become more specific.

You should have a solid understanding of your topic in general, its associated problems, and the literature review before tackling the significance of your research. However, you’re not trying to prove your thesis statement at this point. The significance of research just convinces the audience that your study is worth reading.

Finally, we always recommend seeking help from your research advisor whenever you’re struggling with ideas. For a more visual idea of how to discuss the significance of your research, we suggest checking out this video .

1. Do I need to do my research before discussing its significance?

No, you’re discussing the significance of your research before you conduct it. However, you should be knowledgeable about your topic and the related literature.

2. Is the significance of research the same as its implications?

No, the research implications are potential questions from your study that justify further exploration, which comes after conducting the research.

 3. Discussing the significance of research seems overwhelming. Where should I start?

We recommend the problem statement as a starting point, which reveals clues to the potential outcome of your research.

4. How can I get feedback on my discussion of the significance of my research?

Our proofreading experts can help. They’ll check your writing for grammar, punctuation errors, spelling, and concision. Submit a 500-word document for free today!

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• Relevance of Your Dissertation Topic | Criteria & Tips

Relevance of Your Dissertation Topic | Criteria & Tips

Published on November 14, 2022 by Sarah Vinz . Revised on May 31, 2023.

A relevant dissertation topic means that your research will contribute something worthwhile to your field in a scientific, social, or practical way.

As you plan out your dissertation process , make sure that you’re writing something that is important and interesting to you personally, as well as appropriate within your field.

If you’re a bit stuck on where to begin, consider framing your questions in terms of their relevance: scientifically to your discipline, socially to the world at large, or practically to an industry or organization.

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Table of contents

Scientific relevance, social and practical relevance, other interesting articles, frequently asked questions about relevant topics.

If you are studying hard or social sciences, the scientific relevance of your dissertation is crucial. Your research should fill a gap in existing scientific knowledge, something that hasn’t been extensively studied before.

One way to find a relevant topic is to look at the recommendations for follow-up studies that are made in existing scientific articles and the works they cite. From there, you can pursue quantitative research , statistical analyses , or the relevant methodology for the type of research you choose to undertake.

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Most theses are required to have social relevance, which basically means that they help us to better understand society. These can use ethnographies , interviews , or other types of field work to collect data

However, in some disciplines it may be more important that a dissertation have practical relevance. Research that has practical relevance adds value. For instance, it could make a recommendation for a particular industry or suggest ways to improve certain processes within an organization.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence?

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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• GETTING STARTED
• Introduction
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• Acknowledgements
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• Research limitations
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• Research Ethics
• Data Analysis

The purpose statement

The purpose statement is made up of three major components: (1) the motivation driving your dissertation; (2) the significance of the research you plan to carry out; and (3) the research questions you are going to address. Starting the first major chapter of your dissertation (usually Chapter One: Introduction ), the purpose statement establishes the intent of your entire dissertation. Just like a great song that needs a great "hook", the purpose statement needs to draw the reader in and keep their attention. This article explains the purpose of each of these three components that make up the purpose statement.

The "motivation" driving your dissertation

The "significance" of the research you plan to carry out, the "research questions" you are going to address.

Your choice of dissertation topic should be driven by some kind of motivation . This motivation is usually a problem or issue that you feel needs to be addressed or solved. This part of the purpose statement aims to answer the question: Why should we care? In other words, why should we be interested in the research problem or issue that you want to address?

The types of motivation that may drive your dissertation will vary depending on the subject area you are studying, as well as the specific dissertation topic you are interested in. However, some of the broad types of motivation that undergraduate and master's level dissertation students try to address are based around (a) individuals , (b) organisations , and/or (c) society .

Individuals face many problems and issues ranging from those associated with welfare , to health , prosperity , freedoms , security , and so on. From a health perspective, you may be concerned with the rise in childhood obesity and the potential need for regulation to combat the advertising of fast food to children. In terms of welfare and freedoms , you may be interested in the introduction of new legislation that aims to protect discrimination in the workplace, and its implications for small businesses.

Organisations also have a wide range of problems and issues that need to be addressed, whether relating to people , finances , operations , competition , regulations , and so forth. From a people perspective, you may be interested in how organisations use flexible working options to alleviate employee stress and burnout. In terms of regulations , you may be concerned with the growth in Internet piracy and the ways that organisations are dealing with such a threat.

Society is another lens through which you can view problems and issues that need to be addressed. These may relate to a wide range of societal risks or other problems and issues such as factory farming, the potential legalisation of marijuana, the health-related effects of talking on cell phones, and so forth. You may be interested in understanding individuals? views towards the potential legalisation of marijuana; or how these views are influenced by individuals? knowledge of the side-effects of marijuana use.

When communicating the motivation driving your dissertation to the reader, it is important to explain why the problem or issue you are addressing is interesting : that is, why should the reader care? It is not sufficient to simply state what the problem or issue is.

Whilst the motivation component of your purpose statement explains why the reader should care about your dissertation, the significance component justifies the value of the dissertation. In other words: What contribution will the dissertation make to the literature? Why should anyone bother to perform this research? What is its value?

Even though dissertations are rarely "ground-breaking" at the undergraduate or master's level (and are not expected to be), they should still be significant in some way. This component of the Introduction chapter, which follows the motivation section, should explain what this significance is. In this respect, your research may be significant in one of a number of ways. It may:

Capitalise on a recent event

Reflect a break from the past

Target a new audience

Address a flaw in a previous study

Expand a particular field of study

Help an individual, group, organisation, or community

When writing your purpose statement, you will need to explain the relationship between the motivation driving your dissertation and the significance of the research you plan to carry out. These two factors - motivation and significance - must be intrinsically linked; that is, you cannot have one without the other. The key point is that you must be able to explain the relationship between the motivation driving your dissertation and one (or more) of the types of significance highlighted in the bullets above.

The motivation and significance components of your Introduction chapter should signal to the reader the general intent of your dissertation. However, the research questions that you set out indicate the specific intent of your dissertation. In other words, your research questions tell the reader exactly what you intend to try and address (or answer) throughout the dissertation process.

In addition, since there are different types of research question (i.e., quantitative , qualitative and mixed methods research questions), it should be obvious from the significance component of your purpose statement which of these types of research question you intend to tackle [see the section, Research Questions , to learn more].

Having established the research questions you are going to address, this completes the purpose statement. At this point, the reader should be clear about the overall intent of your dissertation. If you are in the process of writing up your dissertation, we would recommend including a Chapter Summaries section after the Research Questions section of your Introduction chapter. This helps to let the reader know what to expect next from your dissertation.

How to write the significance of the study in a thesis?

The introduction chapter of the thesis contains the section “significance of the study”. As the name clearly indicates, its primary purpose is to explain the primary contributions of the thesis. Thesis significance is essential in the introduction because it indicates the relevance of the work, potential outcomes and the major beneficiaries of the study. Ideally, a thesis significance should portray the following elements:

• General contribution of the study.
• Specific contribution and application of study.
• Grounds on which the study is based.
• Explain with logical reasons the benefits of the study.

The significance of the study is a way through which the researcher conveys to the reviewer how the thesis is unique. It could be for the reviewer of the thesis, peer review by an academician, publication on various platforms, or to apply for a research grant. A clear statement of the thesis significance and its contribution gives the reader information about the research purpose too.

Write an impactful and effective thesis with significance

For an impactful significance of the study section, try to answer the following questions:

• What are the implications of my study?
• Why is it important to carry out this research?
• How does my study influence the policymaking process?
• How is my study related to existing knowledge on the subject?
• What benefits does my study have for others in the concerned subject area or the public?
• What new perspectives does my study add to the concerned subject?
• How can better theoretical models be built by using my study?
• How would my study contribute to bridging the gaps in existing available research?
• How will my study change the existing way of life?

Ideally, the length of the significance of the study section should range between 200-500 words.

• Step 1: Identify the gaps in existing research. The gaps should be relatable and realistic or quantifiable. Explain these gaps in the form of a problem statement.
• Step 2: Explain how the thesis research will benefit. For instance, will it explain a topic or element on which barely any information is available?
• Step 3: Explain how the research will benefit the industry. For instance, if the thesis is concerned with an investigation of the manufacturing industry, what are the key takeaways for the industry that will help them improve their performance?
• Step 4: Explain how the investigation will benefit the government. For instance, will the government be able to implement the suggested model or framework? Will it influence the economy, public policy, or general public behaviour in any way?

How to maintain a good flow in the significance of the study section

The researcher can use the following methods to make the thesis significance of the study section impactful.

• The problem statement section acts as the foundation of the thesis significance of the study section. It should therefore be very strong and concise.
• Avoid writing vague statements. Rather the statements should be put in a very simple way.
• The flow of writing should be from general to particular i.e. covering the general contribution of study (the broad area) and then moving to the specific contribution (narrowing down).
• Avoid repetition of facts or statements.
• Avoid deviation from the subject/ area of study.
• Logical reasons should be added to justify the need for research.

Example of thesis significance of the study

Examining the need of adopting smart education in secondary education in India.

The thesis significance of the study section can be written as follows.

With the rapid growth in information and technology, the need for moving toward an IT-based education system is intensifying. In India, the limited use of smart technologies usage prevents students from improving their learning experience. Despite the growing number of studies on this problem, not much attention has been devoted to understanding the connection between smart education and educational development in India. This study focuses on bridging this gap in the existing literature by examining the contribution of smart education toward a superior learning experience for secondary school students.

This linkage of the IT sector with education would not only improve the education gaining experience of students but broadly would lead to the social development of the country. The prospect of increasing the accessibility of education along with creating a better learning experience would enable an improvement in the living standard. Further, the improvement in the learning experience of students would enable them to enhance their creativity level, have better interaction with teachers, and even gain better practical knowledge of aspects. This would help students strengthen their conceptual foundation. Thus, smart technology plays an undeniable role in socio-economic development and the life of students. This study will be significant in identifying all these aspects and help the government and secondary schools in upgrading their current policies of education and teaching for the socio-economic development of the country.

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How to Write the Rationale of the Study in Research (Examples)

What is the Rationale of the Study?

The rationale of the study is the justification for taking on a given study. It explains the reason the study was conducted or should be conducted. This means the study rationale should explain to the reader or examiner why the study is/was necessary. It is also sometimes called the “purpose” or “justification” of a study. While this is not difficult to grasp in itself, you might wonder how the rationale of the study is different from your research question or from the statement of the problem of your study, and how it fits into the rest of your thesis or research paper. 

The rationale of the study links the background of the study to your specific research question and justifies the need for the latter on the basis of the former. In brief, you first provide and discuss existing data on the topic, and then you tell the reader, based on the background evidence you just presented, where you identified gaps or issues and why you think it is important to address those. The problem statement, lastly, is the formulation of the specific research question you choose to investigate, following logically from your rationale, and the approach you are planning to use to do that.

Table of Contents:

How to write a rationale for a research paper , how do you justify the need for a research study.

• Study Rationale Example: Where Does It Go In Your Paper?

The basis for writing a research rationale is preliminary data or a clear description of an observation. If you are doing basic/theoretical research, then a literature review will help you identify gaps in current knowledge. In applied/practical research, you base your rationale on an existing issue with a certain process (e.g., vaccine proof registration) or practice (e.g., patient treatment) that is well documented and needs to be addressed. By presenting the reader with earlier evidence or observations, you can (and have to) convince them that you are not just repeating what other people have already done or said and that your ideas are not coming out of thin air. 

Once you have explained where you are coming from, you should justify the need for doing additional research–this is essentially the rationale of your study. Finally, when you have convinced the reader of the purpose of your work, you can end your introduction section with the statement of the problem of your research that contains clear aims and objectives and also briefly describes (and justifies) your methodological approach. 

When is the Rationale for Research Written?

The author can present the study rationale both before and after the research is conducted. 

• Before conducting research : The study rationale is a central component of the research proposal . It represents the plan of your work, constructed before the study is actually executed.
• Once research has been conducted : After the study is completed, the rationale is presented in a research article or  PhD dissertation  to explain why you focused on this specific research question. When writing the study rationale for this purpose, the author should link the rationale of the research to the aims and outcomes of the study.

What to Include in the Study Rationale

Although every study rationale is different and discusses different specific elements of a study’s method or approach, there are some elements that should be included to write a good rationale. Make sure to touch on the following:

• A summary of conclusions from your review of the relevant literature
• What is currently unknown (gaps in knowledge)
• Inconclusive or contested results  from previous studies on the same or similar topic
• The necessity to improve or build on previous research, such as to improve methodology or utilize newer techniques and/or technologies

There are different types of limitations that you can use to justify the need for your study. In applied/practical research, the justification for investigating something is always that an existing process/practice has a problem or is not satisfactory. Let’s say, for example, that people in a certain country/city/community commonly complain about hospital care on weekends (not enough staff, not enough attention, no decisions being made), but you looked into it and realized that nobody ever investigated whether these perceived problems are actually based on objective shortages/non-availabilities of care or whether the lower numbers of patients who are treated during weekends are commensurate with the provided services.

In this case, “lack of data” is your justification for digging deeper into the problem. Or, if it is obvious that there is a shortage of staff and provided services on weekends, you could decide to investigate which of the usual procedures are skipped during weekends as a result and what the negative consequences are. 

In basic/theoretical research, lack of knowledge is of course a common and accepted justification for additional research—but make sure that it is not your only motivation. “Nobody has ever done this” is only a convincing reason for a study if you explain to the reader why you think we should know more about this specific phenomenon. If there is earlier research but you think it has limitations, then those can usually be classified into “methodological”, “contextual”, and “conceptual” limitations. To identify such limitations, you can ask specific questions and let those questions guide you when you explain to the reader why your study was necessary:

Methodological limitations

• Did earlier studies try but failed to measure/identify a specific phenomenon?
• Was earlier research based on incorrect conceptualizations of variables?
• Were earlier studies based on questionable operationalizations of key concepts?
• Did earlier studies use questionable or inappropriate research designs?

Contextual limitations

• Have recent changes in the studied problem made previous studies irrelevant?
• Are you studying a new/particular context that previous findings do not apply to?

Conceptual limitations

• Do previous findings only make sense within a specific framework or ideology?

Study Rationale Examples

Let’s look at an example from one of our earlier articles on the statement of the problem to clarify how your rationale fits into your introduction section. This is a very short introduction for a practical research study on the challenges of online learning. Your introduction might be much longer (especially the context/background section), and this example does not contain any sources (which you will have to provide for all claims you make and all earlier studies you cite)—but please pay attention to how the background presentation , rationale, and problem statement blend into each other in a logical way so that the reader can follow and has no reason to question your motivation or the foundation of your research.

Background presentation

Since the beginning of the Covid pandemic, most educational institutions around the world have transitioned to a fully online study model, at least during peak times of infections and social distancing measures. This transition has not been easy and even two years into the pandemic, problems with online teaching and studying persist (reference needed) . 

While the increasing gap between those with access to technology and equipment and those without access has been determined to be one of the main challenges (reference needed) , others claim that online learning offers more opportunities for many students by breaking down barriers of location and distance (reference needed) .  

Rationale of the study

Since teachers and students cannot wait for circumstances to go back to normal, the measures that schools and universities have implemented during the last two years, their advantages and disadvantages, and the impact of those measures on students’ progress, satisfaction, and well-being need to be understood so that improvements can be made and demographics that have been left behind can receive the support they need as soon as possible.

Statement of the problem

To identify what changes in the learning environment were considered the most challenging and how those changes relate to a variety of student outcome measures, we conducted surveys and interviews among teachers and students at ten institutions of higher education in four different major cities, two in the US (New York and Chicago), one in South Korea (Seoul), and one in the UK (London). Responses were analyzed with a focus on different student demographics and how they might have been affected differently by the current situation.

How long is a study rationale?

In a research article bound for journal publication, your rationale should not be longer than a few sentences (no longer than one brief paragraph). A  dissertation or thesis  usually allows for a longer description; depending on the length and nature of your document, this could be up to a couple of paragraphs in length. A completely novel or unconventional approach might warrant a longer and more detailed justification than an approach that slightly deviates from well-established methods and approaches.

Consider Using Professional Academic Editing Services

Now that you know how to write the rationale of the study for a research proposal or paper, you should make use of our free AI grammar checker , Wordvice AI, or receive professional academic proofreading services from Wordvice, including research paper editing services and manuscript editing services to polish your submitted research documents.

You can also find many more articles, for example on writing the other parts of your research paper , on choosing a title , or on making sure you understand and adhere to the author instructions before you submit to a journal, on the Wordvice academic resources pages.

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How to Write the Significance of the Study for Dissertation

The purpose of the significance of the study is to allow you to explain the importance of your research to readers. It also helps you prove the study’s impact on your field of research. The study’s significance explains exactly how your research will contribute to your study field. In addition, it will expose its importance to the people and institutions who will benefit from it. us.dissertationteam.com/umi-dissertation-services

When writing the significance of study dissertation, you need to convey what you hope would benefit others. And how readers will benefit or learn from your study.

How to write the significance of the study in dissertation

In this section, let’s examine how to write significance of the study in the dissertation. You can write the significance of the study in five main steps:

• Start with the problem statement

When writing the significance of the study, always start with the problem statement. That would give you ideas of the general outcome of the research and those who would benefit from it. Then, ask yourself probing questions according to the problem statement. An example is “how would my research answers impact the community positively?” By answering this question correctly, you would double back to creating a solution for the community.

• Explain how your research will extend the current literature in the field

This part is for you to discuss the unexplored areas in the previous studies. Then, explain how your research will give insight into those unexplored areas. With that, you give your readers something new to look forward to in your study that adds value to the field.

• Explain how your research will benefit the community

In this section, elucidate how your research will impact society at large. Then, explain how the results of your study will set a precedent in your community.

A significance of the study example

If your research is about high-powered lithium batteries, you may indicate that you can develop a battery twice as powerful as the Tesla battery through your research. As a result, there would be healthy competition in the industry.

• Mention specific persons or institutions who will benefit from your study

Using the above example, you may explain that your study will help the electric automobile community and car manufacturers looking to beat Tesla.

• Indicate how your study may help future studies in the field

Lastly, you should include the overall benefits of your research to the community. This can include how your revolutionary idea will be included in your field’s literature and how people will benefit from it for years to come.

Tips for writing the significance of study dissertation

Some tips for writing a dissertation significance of study include:

• Be concise : go straight to the point, and make your readers understand you from the beginning. Avoid fluffy words and use transition words where necessary.
• Think steps ahead : see the big picture, and make plans ahead – plan the format, structure, and conduct adequate research.
• Seek assistance where needed : if you happen to get stuck along the way, don’t be shy to ask for help. You can ask your friends, lecturer or professor, or seek help from experts online.
• Avoid repetition of statements: it’s boring when a reader reads a statement twice or thrice in a paper; it’s worse if it’s a research paper for academics.
• Be open to change : if you get a superior argument after writing in a direction, don’t be scared to start all over. Who knows? The new argument could be record-breaking.
• Avoid deviating from the subject : stay on course as much as possible; there is nothing more excruciating than a writer rambling off in the middle of a research paper.
• Your writing should flow from the top down: let your writing start from the weightier areas to the simple topics. Conversely, you can start from simpler topics then move to complicated ones.

To get the best out of writing the significance of the study in research and dissertation, you need to understand the existing research gaps in your field. A gap essentially means an area that’s yet untapped in a particular research field. You may tailor your dissertation to fill that gap, and you will be home and dry.

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Original research article, association of genetically predicted 486 blood metabolites on the risk of alzheimer’s disease: a mendelian randomization study.

• 1 Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
• 2 The First Clinical Medical School, Anhui University of Chinese Medicine, Hefei, China
• 3 Intelligent Manufacturing Institute, Hefei University of Technology, Hefei, China

Background: Studies have reported that metabolic disturbance exhibits in patients with Alzheimer’s disease (AD). Still, the presence of definitive evidence concerning the genetic effect of metabolites on AD risk remains insufficient. A systematic exploration of the genetic association between blood metabolites and AD would contribute to the identification of new targets for AD screening and prevention.

Methods: We conducted an exploratory two-sample Mendelian randomization (MR) study aiming to preliminarily identify the potential metabolites involved in AD development. A genome-wide association study (GWAS) involving 7,824 participants provided information on 486 human blood metabolites. Outcome information was obtained from a large-scale GWAS meta-analysis of AD, encompassing 21,982 cases and 41,944 controls of Europeans. The primary two-sample MR analysis utilized the inverse variance weighted (IVW) model while supplementary analyses used Weighted median (WM), MR Egger, Simple mode, and Weighted mode, followed by sensitivity analyses such as the heterogeneity test, horizontal pleiotropy test, and leave-one-out analysis. For the further identification of metabolites, replication and meta-analysis with FinnGen data, steiger test, linkage disequilibrium score regression, confounding analysis, and were conducted for further evaluation. Multivariable MR was performed to assess the direct effect of metabolites on AD. Besides, an extra replication analysis with EADB data was conducted for final evaluation of the most promising findings.

Results: After rigorous genetic variant selection, IVW, complementary analysis, sensitivity analysis, replication and meta-analysis with the FinnGen data, five metabolites (epiandrosterone sulfate, X-12680, pyruvate, docosapentaenoate, and 1-stearoylglycerophosphocholine) were identified as being genetically associated with AD. MVMR analysis disclosed that genetically predicted these four known metabolites can directly influence AD independently of other metabolites. Only epiandrosterone sulfate and X-12680 remained suggestive significant associations with AD after replication analysis with the EADB data.

Conclusion: By integrating genomics with metabonomics, this study furnishes evidence substantiating the genetic association of epiandrosterone sulfate and X-12680 with AD. These findings hold significance for the screening, prevention, and treatment strategies for AD.

1 Introduction

Alzheimer’s disease (AD) is the most common kind of dementia, affecting approximately 50 million individuals worldwide ( GBD 2019 Dementia Forecasting Collaborators, 2022 ). Predictions indicate a rise to over 152 million by 2050 owing to the aging population. The financial impact of dementia is also escalating, with expected global costs nearing $9.12 trillion ( Lord et al., 2021 ). Clearly, AD is rapidly becoming a significant financial and health burden, making it one of the most critical diseases of our century ( Garcia-Argibay et al., 2023 ).

Disappointingly, AD remains incurable ( Serrano-Pozo et al., 2017 ). From 2000 to 2012, over 400 AD clinical trials yielded a 99.6% failure rate, starkly contrasted by a roughly 80% failure rate in anti-cancer drugs ( Cummings et al., 2014 ). One plausible explanation for such dismal outcomes is that recognized risk factors and medication targets may be consequences rather than root causes of AD. Another factor could be that clinical trials often focus on advanced-stage patients in trials. Considering that the effectiveness of treatments for AD may stem from early intervention, there is an imperative requirement for precisely identifying early-stage individuals only with underlying pathology ( Varesi et al., 2022 ). Although positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers are highly accurate and sensitive for AD diagnosis, their invasiveness and substantial costs hinder population-wide screenings on a large scale ( Hampel et al., 2018 ). In this context, blood-based biomarkers (e.g., blood metabolites), being minimally invasive, offer promising avenues for early diagnosis and monitoring ( Hampel et al., 2014 ; Blennow and Zetterberg, 2018 ). More importantly, its potential modifiability might lead to effective prevention or treatment strategies ( Lord et al., 2021 ).

The National Institutes of Health Medical Library (NIH) currently reports 817 studies on AD in relation to blood metabolism. These studies underscored the potential role of blood metabolites in AD progression. A study involving 30 AD sufferers and 40 controls identified 11 metabolites applicable for the assessment and diagnosis of AD. Of these, 1,4-butanediamine and L-ornithine showed higher diagnostic potential ( Sun et al., 2020 ). Additionally, recent evidence by Toledo et al. indicated a significant association between 26 metabolites, including sphingolipids, and biomarkers related to AD pathology, as well as memory scores in the brain and blood of preclinical AD ( Varma et al., 2018 ). These findings suggest that specific metabolites possess the capacity to augment the precision of clinical diagnoses pertaining to AD, and facilitate the advancement of therapeutic interventions. However, the interpretation of blood biomarkers in AD pathogenesis is complex due to potential reverse causation, or other unmeasured potential confounders like high body fat mass or socioeconomic status, which might skew the association. Undoubtedly, this complexity highlights the need for cautious interpretation of these associations in understanding AD’s etiology.

Mendelian randomization (MR) is an emerging analytical technique commonly employed to deduce potential links between various exposures and their outcomes ( Smith and Ebrahim, 2003 ). The utilization of the MR approach serves as a crucial alternative strategy in situations where randomized controlled trials (RCTs) are lacking, as it offers dependable evidence regarding the correlation between exposures and disease risks ( Zuccolo and Holmes, 2017 ). To be specific, Single nucleotide polymorphisms (SNPs) are used in MR design as the unconfounded instrumental variables (IVs) to serve as proxies for the phenotypes of interest. This approach mimics RCTs due to the genetic variation’s random allocation during fertilization, thereby minimizing confounding bias in establishing causal relationships ( Burgess et al., 2013 ). Moreover, the formation of genotypes occurs prior to approximate the desired phenotypes. The diseases and remains stable regardless of disease progression, directly avoiding the possibility of reverse causation in the analysis. While some MR studies have explored the associations between single or common exposure factors (e.g., such as educational attainment ( Stern et al., 1994 ), smoking ( Barnes and Yaffe, 2011 ), body mass index ( Buchman et al., 2005 ; Kivipelto et al., 2005 )) and AD, no large-scale study thoroughly examine the effect of global blood metabolites on AD to date.

Here, we leveraged genome-wide association study (GWAS) data to perform an extensive MR analysis of 486 blood metabolites. Our research attempts to shed light on the metabolism-related etiology of AD and might help make strategies for AD screening, prevention, and therapy.

2 Materials and methods

2.1 study design.

Using a two-sample MR design, we carefully assessed the genetic links between 486 human blood metabolites and AD risk in this investigation. Adhering to MR’s three foundational hypotheses, we ensured that: (1) IVs exhibit strong correlation with the metabolites; (2) IVs must be free from confounding factors influencing AD; (3) The impact of IVs on AD is mediated exclusively through these metabolites ( Boef et al., 2015 ). The design is derived from the research conducted by Cai et al. (2022) . The overview of our study is presented in Figure 1 .

Figure 1 . The overview of this MR study. Assumption 1. IVs exhibit strong correlation with the metabolites; Assumption 2. IVs must be free from confounding factors influencing AD; Assumption 3. The impact of IVs on AD is mediated exclusively through these metabolites. IVW, inverse variance weighted; LD, linkage disequilibrium; LDSC, linkage disequilibrium score; LOO analysis, leave-one-out analysis; MVMR, multivariable Mendelian randomization analysis; SNPs, single nucleotide polymorphisms; WM, weighted median; IGAP, the International Genomics of Alzheimer’s Project; EADB, the European Alzheimer & Dementia Biobank; proxy-ADD, proxy AD and related dementia.

All statistical analyses in this study were performed in R software (Version 4.2.1) by the “TwoSampleMR” package (Version 0.5.4), the “ieugwasr” package (Version 0.1.5), the “meta” package (Version 6.5.9), the “forestplot” package (Version 1.1.1), the “ggplot2” package (Version 3.4.3), the “ldscr” package (Version 0.1.0), the “MendelianRandomization” package (Version 0.9.0), and the “MVMR” package (Version 0.4.0).

2.2 GWAS data for blood metabolites

We utilized the GWAS dataset from the Metabolomics GWAS Server, which is the most comprehensive dataset for blood metabolites originating from Shin et al.’s (2014) study of 7,824 Europeans. The dataset comprises 2.1 million SNPs linked to 486 metabolites, of which 309 are known and 177 are yet to be classified ( Shin et al., 2014 ). These known metabolites are categorized into 8 distinct classes according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, including cofactors and vitamins, energy, amino acid, carbohydrate, lipid, nucleotide, peptide, and xenobiotic metabolism ( Supplementary Table S1 ).

2.3 GWAS data for AD

Our primary GWAS data for AD was sourced from the International Genomics of Alzheimer’s Project (IGAP). This comprehensive two-stage study focuses on individuals of European descent ( Kunkle et al., 2019 ). We utilized data from stage 1, totaling 63,926 participants (21,982 AD cases and 41,944 controls) that were available via the Integrative Epidemiology Unit (IEU) GWAS database, which is publicly available at the website: https://gwas.mrcieu.ac.uk . AD diagnoses were confirmed via autopsy or clinical records.

For replication and meta-analysis, we employed data from the FinnGen consortium’s G6 dataset 1 with the phenocode G6_ALZHEIMER, including 218,792 European individuals with 3,899 AD cases and 214,893 controls. For FinnGen AD data, the diagnosis of AD was based on the International Classification of Diseases (ICD) diagnosis codes (version 10) or ICD (version 9). In addition, we also replicated our findings using AD data from the European Alzheimer & Dementia Biobank (EADB) stage I ( Bellenguez et al., 2022 ), the largest AD genomic consortia. The data was based on 39,106 clinically diagnosed AD cases, 46,828 proxy AD and related dementia (proxy-ADD) cases, 401,577 controls, which can be obtained from GWAS Catalog 2 with accession number GCST90027158. Proxy-ADD was only identified from the UK Biobank via questionnaire data asking if parents of the participants had AD.

2.4 Instruments selection

A sequential procedure was executed to screen IVs pertaining to blood metabolites. First, we chose a more lenient criterion of p  < 1 × 10 −5 [pairwise linkage disequilibrium (LD) r 2  < 0.1 within a 500 kb distance], which was extensively utilized in prior studies, considering the small number of SNPs that achieved genome-wide significance ( Choi et al., 2019 ; Sanna et al., 2019 ; Yang et al., 2020 ). Second, to minimize bias resulting from weak instruments, we assessed the statistical strength of each SNP using F statistics. SNPs with F  < 10 were deemed weak instruments and were thus excluded, ensuring the remaining SNPs provided adequate variance for their respective metabolites. Exposure SNPs were then extracted from the outcome data, discarding any SNPs connected to the outcome ( p  < 1 × 10 −5 ). For SNPs not present in the outcome, we identified high LD proxies ( r 2  > 0.8) using the European reference panel of the 1,000 Genomes Project, excluding SNPs without suitable proxies. Afterwards, we conducted harmonization to align the alleles of exposure-and outcome-SNPs, removing palindromic SNPs with high effect allele frequencies (EAF > 0.42) or conflicting alleles (e.g., A/G vs. A/C). Finally, our MR analysis only included metabolites represented by over 2 SNPs ( Gill et al., 2019 ).

2.5 Primary analysis and sensitivity analysis

Assuming the validity of all SNPs, the random-effect inverse variance weighted (IVW) offers the most accurate assessment. The IVW methods were utilized as the primary analysis to evaluate the genetic link between blood metabolites and AD using p  < 0.05 as the screening condition. Developed by Burgess et al. (2013) , IVW method is particularly advantageous for its robust detection capability, with widespread application in MR studies. Though a Bonferroni correction used for multiple testing could effectively control false positives ( p  < 0.05/485 included metabolites (1.03 × 10 −4 )), it might also miss out potential metabolites involved in AD development. Considering the exploratory nature of this MR work, a value of p  < 0.05 was used for as the threshold to determine the suggestive significant association. We believe this approach enables us to identify potential metabolites for further investigation without overly stringent criteria that might miss out on important findings.

For those estimates identified as suggestive significant (IVW p  < 0.05) in the primary analysis, we performed sensitivity analyses to evaluate any potential biases against the MR assumptions. IVW assumes all the IVs are valid, and is prone to bias though it is the most sufficient method. Four other MR methods, including Weighted median (WM), MR Egger, Simple mode, Weighted mode, were utilized as complementary approaches. WM assumes that less than 1/2 of the IVs are invalid, whereas the weighted mode assumes that more than 1/2 of the IVs are invalid ( Bowden et al., 2016 ). MR-Egger regression provides consistent estimates accounting for pleiotropy when all the instruments are invalid. A metabolite was considered a candidate metabolite if the estimates across these five MR models were consistent in direction and magnitude. Meanwhile, we conducted the Cochran Q test to detect any heterogeneity, acknowledging heterogeneity if the Cochran-Q test resulted in p  < 0.05 and I 2  > 25% ( Greco et al., 2015 ). The assessment for horizontal pleiotropy was conducted using Egger intercepts ( Bowden et al., 2015 ). To identify any influential data points affecting the combined IVW estimates, the analysis of Leave-One-Out (LOO) was implemented.

Hence, metabolites potentially implicated in the development of AD were determined using the following criteria: (1) IVW derived p  < 0.05; (2) consistent directions and magnitudes across all five MR models; (3) no heterogeneity or pleiotropy; (4) no high-influence points identified in the LOO analysis.

2.6 Replication and meta-analysis with the FinnGen data

To ascertain the reliability of candidate metabolites, we conducted a duplicate IVW analysis by utilizing a distinct AD GWAS dataset that we acquired via the aforementioned FinnGen consortium. After replicating the study, we proceeded with a meta-analysis to consolidate and verify the definitive set of candidate metabolites.

2.7 Genetic correlation and direction validation

However, the estimates obtained through MR may exhibit discrepancies from the true effects in cases where a genetic association exists between exposure and outcome ( O’Connor and Price, 2018 ). While we excluded AD-related SNPs in selecting instrumental variables (IVs), SNPs unrelated to AD might still influence the genetics of AD. To address potential effect violations due to genetic correlations, we used Linkage Disequilibrium Score (LDSC) regression. Coinheritance is evaluated in LDSC through the examination of Chi-squared statistics derived from SNPs pertaining to two traits.

Furthermore, the Steiger test was conducted to address potential bias resulting from reverse associations ( Hemani et al., 2017 ). The accuracy of estimations may be compromised if the genetic risk of AD is primarily influenced by a combination of SNPs rather than blood metabolites.

2.8 Confounding analysis and multivariable MR analysis

Even after performing sensitivity studies to find any SNPs that go against the MR assumptions, residual confounding SNPs could still exist. To address this, we carefully scrutinized the IVs for metabolites using the Phenoscanner V2 website, 3 to determine whether each SNP was linked to established risk factors of AD. According to the study conducted by Luo et al. (2023) , the following risk factors for AD were considered, including educational attainment ( Stern et al., 1994 ), HDL cholesterol ( Reitz et al., 2010 ), smoking ( Barnes and Yaffe, 2011 ), body mass index ( Buchman et al., 2005 ), diastolic blood pressure ( Qiu et al., 2003 ), and systolic blood pressure ( Kivipelto et al., 2005 ). If SNPs exhibited a relationship with the potential confounders at a significance level of p  < 1 × 10 −5 , we conducted an additional IVW analysis after excluding these SNPs to affirm the stability and accuracy of our results.

To ensure adherence to MR’s second and third assumptions, we ensured genetic variants were linked to only one risk factor. However, it’s common for some genetic variants to be relate to multiple risk factors, a phenomenon known as pleiotropy ( White et al., 2016 ). In such instances, the utilization of multivariable Mendelian randomization (MVMR) can effectively account for interactions between genetic variations, thereby enabling the distinction between the direct impact of each exposure and the overall effect assessed through univariable MR. The MVMR approach was employed to account for the interactions of the identified metabolites ( Bowden et al., 2015 ). Specifically, we combined the IVs of all the identified metabolites and then conducted LD clumping (LD r 2 < 0.1 within a 500 kb distance) to obtain a novel set of independent IVs, which was then extracted from the AD dataset. Harmonization was conducted to align the effect alleles. The IVW method of multivariate MR is to regress all exposed SNPs with the outcome, weighting for the inverse variance of the outcome.

2.9 Metabolic pathway analysis

To figure out biological mechanism underlying identified metabolites, we carried out metabolic pathway analyses utilizing MetaboAnalyst 5.0, an online tool known for its user-friendly interface and streamlined approach to metabolomics data analysis. The tool can be accessed at https://www.metaboanalyst.ca/ .

2.10 Replication analysis with the EADB data

To ascertain the reliability of identified metabolites, we made a duplicate IVW analysis using AD data from the EADB stage I, the largest AD genomic consortia. The metabolites which were consistent across all three MR-studies (IGAP-MR, FinnGen-MR and EADB-MR) were considered to be the most promising metabolites with genetic associations.

After completing the instrument selection process, 485 metabolites were retained for MR estimation, excluding one due to having only two SNPs. The SNP count for each metabolite varies from 3 to 407, with all SNPs exhibiting F statistics exceeding 10, demonstrating the absence of weak instruments. Detailed information on IVs is available in Supplementary Table S2 .

3.1 Primary analysis and sensitivity analysis

The preliminary IVW analysis conducted in our study revealed a suggestively significant correlation between 25 metabolites and AD ( Figure 2 ). Among these, 19 were identifiable and categorized into various groups such as amino acids, carbohydrates, lipids, nucleotides, peptides, and xenobiotics, while 6 remained chemically unknown. Further complementary analyses and sensitivity assessments narrowed down these metabolites to 8 candidates with potential involvement in AD development. These included serotonin (5HT) (OR = 0.58, 95%CI: 0.37–0.92, p  = 0.0197), 2-aminobutyrate (OR = 0.54, 95% CI: 0.34–0.86, p  = 0.0099), pyruvate (OR = 0.59, 95% CI: 0.38–0.90, p  = 0.0155), docosapentaenoate (n3 DPA; 22:5n3) (OR = 2.08, 95% CI: 1.30–3.32, p  = 0.0022), 1-stearoylglycerophosphocholine (OR = 0.49, 95% CI: 0.30–0.81, p  = 0.0050), epiandrosterone sulfate (OR = 0.74, 95% CI: 0.61–0.89, p  = 0.0018), phenylalanylserine (OR = 0.73, 95% CI: 0.59–0.91, p  = 0.0057), and X-12680 (OR = 0.59, 95% CI: 0.40–0.89, p  = 0.0112). Specifically, the robustness and validity of these associations were further corroborated through various MR models including Weighted Median (WM), MR-Egger, Simple Mode, and Weighted Mode, which demonstrated consistent direction and magnitude in their estimates ( Figure 3 ). No significant heterogeneity was detected as indicated by Cochran Q-derived p values, and intercepts from MR-Egger suggested the absence of horizontal pleiotropy ( Table 1 ). In addition, LOO analysis ensured that no high-influence SNPs biased the pooled effect estimates ( Supplementary Figure S1 ). As a result, these eight metabolites have been identified as potential candidates for metabolites implicated in the pathogenesis of AD, warranting further investigation. We also visually judged the validity of the results through funnel plots ( Supplementary Figure S2 ). Specifically, funnel plots for 2 − aminobutyrate, pyruvate, androsterone sulfate, 1 − stearoylglycerophosphocholine, phenylalanylserine, ibuprofen, X − 11,478, and epiandrosterone sulfate, were relatively symmetric. Some funnel plots of metabolites looked somewhat skewed, including lysine, serotonin (5HT), isovalerylcarnitine, docosapentaenoate, and so on, suggesting some kind of bias existing in the MR estimates. Some funnel plots looked discrete, with the points all over the place, including the funnel plots for mannitol, 7-alpha-hydroxy-3-oxo-cholestenoate, X-12039, X-12680, and so on, suggesting the corresponding MR estimates might be biased.

Figure 2 . Forest plot for the genetic association of metabolites on the risk of Alzheimer’s disease derived from IVW. IVW, inverse variance weighted; OR, odds ratio; 95% CI, confidence interval; NSNPS, number of single nucleotide polymorphisms.

Figure 3 . Scatterplot for the suggestive significant MR association ( p  < 0.05) between metabolites and Alzheimer’s disease. SNP, single nucleotide polymorphism.

Table 1 . Supplementary and sensitivity analyses for genetic association between blood metabolites and Alzheimer’s disease.

3.2 Replication and meta-analysis with the FinnGen data

As expected, replication analysis utilizing AD GWAS dataset from the FinnGen consortium showed analogous trends for certain metabolites ( Figure 4 ). A meta-analysis of data from IGAP and FinnGen further indicated higher levels of pyruvate (OR = 0.60, 95% CI: 0.41–0.88, p < 0.01), 1-stearoylglycerophosphocholine (OR = 0.54, 95% CI: 0.35–0.83, p < 0.01), epiandrosterone sulfate (OR = 0.74, 95% CI: 0.64–0.86, p < 0.01) and X-12680 (OR = 0.66, 95% CI: 0.47–0.92, p = 0.02) were linked to a lower AD risk, and higher levels of docosapentaenoate (n3 DPA; 22:5n3) (OR = 1.98, 95% CI:1.30–3.01, p < 0.01) were linked to a higher AD risk. However, the results of meta-analysis did not yield statistically significant effects for serotonin (5HT), 2-aminobutyrate, and phenylalanylserine.

Figure 4 . Meta-analysis of suggestive significantly associated (IVW derived p  < 0.05) between metabolites and Alzheimer’s disease. (A) serotonin (5HT); (B) 2-aminobutyrate; (C) , pyruvate; (D) docosapentaenoate; (E) 1-stearoylglycerophosphocholine; (F) epiandrosterone sulfate; (G) phenylalanylserine; (H) X-12680; OR, odds ratio; 95% CI, 95% confidence interval.

3.3 Genetic correlation and direction validation

LDSC analysis revealed an insignificant genetic correlation between AD and pyruvate (R g  = 0.1840, se = 0.1649, p  = 0.2644), docosapentaenoate (n3 DPA; 22:5n3) (R g  = −0.0277, se = 0.2615, p  = 0.9157), 1-stearoylglycerophosphocholine (R g  = 0.1883, se = 0.3617, p  = 0.6027) and epiandrosterone sulfate (R g  = 0.0249, se = 0.3119, p  = 0.9364). This implies that the absence of confounding shared genetic components in MR estimates. Additionally, there was no indication of reverse causation between metabolites and AD according to the Steiger test results ( Table 2 ).

Table 2 . Steiger direction test from blood metabolites to Alzheimer’s disease.

3.4 Confounding analysis and MVMR

Although sensitivity analysis was conducted to exclude SNPs that deviated from the estimated values in this study, a manual examination of the second traits (educational attainment, HDL cholesterol, smoking, BMI, diastolic blood pressure, and systolic blood pressure) of the metabolite-associated SNPs was conducted. Looking over the Phenoscanner, we found that SNPs associated with pyruvate, epiandrosterone sulfate and X-12680 were not associated with any of the modifiable risk factors for AD. For docosapentaenoate (n3 DPA; 22:5n3), one SNP (rs174538) was associated with HDL cholesterol-related phenotypes. Similar for 1-stearoylglycerophosphocholine, the SNP (rs4082919) was associated with HDL cholesterol-related phenotypes ( Supplementary Table S3 ). As anticipated, the associations remained suggestive significant for docosapentaenoate (n3 DPA; 22:5n3) (OR = 2.24, 95% CI: 1.33–3.79, p = 0.0026), and 1-stearoylglycerophosphocholine (OR = 0.49, 95% CI: 0.29–0.82, p = 0.0068), even after these SNPs were eliminated.

MVMR analysis based on IVW for all candidate metabolites provided evidence of separate effects for pyruvate (OR = 0.76, 95% CI: 0.62–0.92, p  = 0.006), docosapentaenoate (n3 DPA; 22:5n3) (OR = 0.49, 95% CI: 0.29–0.84, p  = 0.009), 1-stearoylglycerophosphocholine (OR = 0.61, 95% CI:0.40–0.90, p  = 0.021) and epiandrosterone sulfate (OR = 2.38, 95% CI: 1.44–3.93, p  = 0.001) on AD ( Figure 5 ). And the adjusted effects align with those observed in the univariable MR analyses.

Figure 5 . Multivariable MR analysis of the final identified blood metabolites. 95% CI, 95% confidence interval; IVW, inverse variance weighted; MVMR, Multivariable Mendelian randomization; OR, odds ratio; 95% CI, 95% confidence interval; NSNPS, number of single nucleotide polymorphisms.

3.5 Metabolic pathway analysis

Through analysis of four established metabolites, we identified six metabolic pathways potentially implicated in AD pathogenesis (all p  < 0.1) ( Supplementary Table S4 ). These pathways include involve Cysteine and methionine metabolism, Citrate cycle (TCA cycle), Pyruvate metabolism, Glycolysis/Gluconeogenesis, Alanine, aspartate and glutamate metabolism, and Glyoxylate and dicarboxylate metabolism, suggesting their potential involvement in the biological processes underlying AD development. Notably, pyruvate is a constituent of all identified metabolic pathways, underscoring its pivotal role in AD’s development.

3.6 Replication analysis with the EADB data

We conducted an extra replication analysis of our findings using the data from EADB stage 1. For the metabolites identified in the replication and meta-analysis with the FinnGen data, only two blood metabolites were confirmed in the replicative analysis, including epiandrosterone sulfate (OR = 0.85, 95% CI: 0.78–0.93, p  = 6e−04) and X-12680 (OR = 0.79, 95% CI: 0.66–0.95, p  = 0.0104). Pyruvate, docosapentaenoate, and 1-stearoylglycerophosphocholine showed no suggestive significant associations with AD. The replicative results were presented in Supplementary Figure S3 .

Taken together, we found that epiandrosterone sulfate was the most promising metabolite associated with AD development, with consistent estimates across three MR studies, passing all the quality control of sensitivity analysis, as well as a relatively symmetric funnel plot. The following relatively promising metabolite is X-12680, for which the estimated associations were consistent across all MR studies, and the sensitivity analysis confirmed the robustness of the results, whereas the funnel plot was discrete. For pyruvate and 1-stearoylglycerophosphocholine, the associations with AD risk were not confirmed in the EADB dataset, with stable results in sensitivity analyses and relatively symmetric funnel plots. For docosapentaenoate, the association with AD was also only confirmed in IGAP and FinnGen datasets, and the funnel plot was skewed.

4 Discussion

In the current work, we employed a stringent MR design to examine the genetic associations between 486 blood metabolites and AD by integrating two independent AD GWAS datasets. We determined that genetic predisposition to high levels of pyruvate, 1-stearoylglycerophosphocholine, epiandrosterone sulfate, and X-12680 were associated with a reduced risk of AD, whereas a genetic predisposition to high levels of docosapentaenoate (n3 DPA; 22:5n3) increased risk of AD. MVMR estimates suggested that these known metabolites can directly affect AD in independent of other metabolites. Subsequently, our study identified 6 metabolic pathways potentially involved in AD’s biological mechanisms. In addition, we also replicated our findings with EADB data. We found that epiandrosterone sulfate and X-12680 were confirmed in the replicative analysis, whereas pyruvate, docosapentaenoate, and 1-stearoylglycerophosphocholine failed to replicate the associations in the EADB dataset. To our knowledge, this MR study is the first to utilize the most comprehensive blood metabolite GWAS data to explore genetic association with AD to date.

In the National Institute on Aging and Alzheimer’s Association Research Framework, the definition of AD has evolved from a syndromal to a biological construct centered on biomarkers categorized as β-amyloid deposition, pathologic tau ( Jack et al., 2018 ). The conventional method of identifying in vivo biomarkers is typically employed after the manifestation of clinical symptoms, and is constrained by its high expenses and invasive nature. From this, effective interventions for early detection may substantially decrease underdiagnosis and potentially offer patients extended time by delaying the progression of AD. Blood metabolites, with the noninvasive detection, amenability to intervention, and the capability of many to traverse the blood–brain barrier, are regarded as valuable markers to fulfill this goal ( Enche et al., 2017 ; Lord et al., 2021 ). An increasing amount of evidence indicates that abnormalities in blood metabolism could be related to the degree of neuropathology of AD and affected the eventual manifestation of symptoms ( Varma et al., 2018 ; Kuehn, 2020 ; Peng et al., 2020 ; Yu et al., 2022 ). Nevertheless, the uncertain link between these abnormalities and AD limits their utility in early detection. Our MR study aims to elucidate this relationship, potentially guiding future AD screening and treatment strategies.

In this study, we observed that susceptibility to elevated epiandrosterone sulfate levels and X-12680 levels are linked to a reduced AD risk in all three MR-studies. Regarding epiandrosterone sulfate, it is among the metabolites associated with the metabolism of androgens. Previous researches have elucidated the neuroprotective function of androgen supplementation in mitigating amyloid beta deposition and tau hyperphosphorylation ( Gouras et al., 2000 ; Pike et al., 2009 ). The sex difference in AD risk has also been reported, and women exhibit a greater lifetime susceptibility ( Nebel et al., 2018 ). Again, our research revealed that individuals who possess a genetic predisposition towards heightened levels of epiandrosterone sulfate exhibited a protective effect against AD. This assertion was substantiated in a subsequent study investigating the correlation between sex hormones and AD risk. However, caution is advised in clinical practice, as a Phe-MR analysis by Sun et al. suggested potential detrimental effects of epiandrosterone sulfate on respiratory and digestive diseases ( Sun et al., 2022 ). Thus, while epiandrosterone sulfate may hold promise as a therapeutic target for AD, careful consideration of potential adverse side effects is essential. Regrettably, though X-12680 has represented potential protective effects on AD in the study, the functional structure of the metabolite was unknown and it has not been previously reported to be associated with AD risk. Future studies still need to increase the exploration of unknown metabolites.

Two other metabolites, pyruvate and 1-stearoylglycerophosphocholine, were also identified with potential protective effects on AD in IGAP-MR and FinnGen-MR. This finding aligns with several prior research studies that have also highlighted the opportunity of pyruvate in the management of AD ( Isopi et al., 2015 ; Wang et al., 2015 ). For a long time, abnormal brain metabolism has been considered a pivotal pathophysiological characteristic of AD, preceding cognitive dysfunction by decades ( Reiman et al., 1996 ; Jack et al., 2010 ; Cunnane et al., 2011 ). Neurons, which are central to brain function, heavily rely on oxidative metabolism and exhibit a preference for the uptake of lactate, which is subsequently metabolized into pyruvate by the enzyme lactate dehydrogenase (LDH) for their energy requirements ( Bolanos et al., 2010 ; Gray et al., 2014 ). On the other hand, according to the astrocyte–neuron lactate shuttle (ANLS) hypothesis ( Brooks, 2018 ), lactate is shuttled from glial cells to neurons, converting to pyruvate and entering the TCA cycle to produce ATP. It follows that an increase in pyruvate may provide an important fuel for compromised neurons. Second, pyruvate also exhibits anti-inflammatory and antioxidant properties ( Tauffenberger et al., 2019 ), and these effects give rise to a microenvironment that is unfavorable for the development of AD ( Das, 2006 ). At last, pyruvate can contribute to reducing body fat and alleviating insulin resistance ( Nellemann et al., 2012 ; Kang et al., 2021 ). Adequate pyruvate levels may indirectly reduce fat synthesis, ameliorating obesity and lowering the risk of AD. In summary, pyruvate emerges as a metabolite with significant potential for AD prevention and treatment. For 1-stearoylglycerophosphocholine, there exists a scarcity of research pertaining to the role of 1-stearoylglycerophosphocholine in AD. One study has shown that 1-stearoylglycerophosphocholine is a natural product with potential PPAR-gamma activity, which plays hypoglycemic and hypolipidemic effect with lower liver toxicity and cardiotoxicity in db/db mice ( Ma et al., 2021 ). Another study also reported that 1-stearoylglycerophosphocholine can improve HFD-induced obese mouse model, and may be an ideal product for preventing and treating obesity as well as associated metabolic disorders ( Han et al., 2021 ). Given the established correlation between obesity, type 2 diabetes mellitus (T2DM), and AD risk, we hypothesize that 1-stearoylglycerophosphocholine may control AD progression by mitigating obesity and diabetes. In addition, 1-stearoylglycerophocholine, as a type of lysophosphatidylcholine (lysoPCs). Several studies have reported a reduction in lysoPC levels within the brain, CSF, and plasma in individuals suffering from AD ( Schmerler et al., 2012 ; González-Domínguez et al., 2014 ). Lin et al. further found that seven lysoPCs were decreased simultaneously in AD plasma ( Lin et al., 2017 ), which also seems to suggest an association between 1-steroylglycophorine and AD risk. Despite these, considering the associations of pyruvate and 1-stearoylglycerophosphocholine with AD failed to replicate in the EADB dataset, future investigation is warranted to further verify their roles in AD development.

Notably, the association of docosapentaenoate (n3 DPA; 22:5n3) with the risk of AD remains highly controversial. Prior researches have explored the beneficial role of AD in neurological function, reducing cardiovascular events, and diabetes risk ( Kaur et al., 2011 ; Mozaffarian and Wu, 2012 ; Igarashi et al., 2013 ). Kelly L et al. further found that the administration of n-3 DPA to aged rats for a duration of 56 days resulted in the manifestation of neuroprotective effects ( Kelly et al., 2011 ). This work showed that n-3 DPA can attenuate the age-associated increases in caspase 3 activity and microglial activation, while simultaneously restoring cognitive function and synaptic plasticity in aged rat models. However, docosapentaenoate might pose a risk for AD in IGAP-MR and FinnGen-MR, which is contrary to the previously reported facts. This discrepancy may be attributed to variations in sample size and population demographics in our study. Consequently, a more comprehensive and meticulous examination is warranted to elucidate the association between docosapentaenoate and AD.

Despite these, considering the existence of blood–brain barrier (BBB), the biology of blood metabolites involved in AD development still warrants further investigation. Some blood metabolites, like pyruvate, could pass through BBB and exert the impact on the central nervous system (CNS), consequently influence the development of AD. However, some blood metabolites might be blocked by BBB, which would limit the effects on CNS, for which we hypothesize genetically determined levels of metabolites might influence the development of AD. Future studies should focus on the relationship between CNS metabolism and AD to validate this hypothesis.

Our study presents several strengths. Firstly, a significant advantage of this MR study lies in its comprehensive coverage of a wide array of blood metabolites. To be specific, a total of 486 metabolites were meticulously incorporated for MR analysis, marking it as the most comprehensive and systematic investigation to date of the metabolic profiles associated with AD. Secondly, a rigorous MR analysis was conducted to effectively mitigate the inherent limitations identified in prior studies, encompassing the issues of reverse association and confounding interference. Thirdly, the application of replication and meta-analyses served to reinforce the genetic impact of specific metabolites on AD. Even though estimates in the replication analysis from the FinnGen GWAS and EADB GWAS did not attain statistical significance, the steadfast alignment of effect estimates provided reassurance, suggesting their occurrence was not merely coincidental. Lastly, we evaluated the heritability of IVs and the genetic correlation between metabolites and AD using LDSC, further improving the confidence of MR Estimates.

This study necessitates the recognition of numerous constraints. One primary concern is the reliance on European population data. Since all of the GWAS data exclusively originated from European populations, necessitating further validation in diverse populations, and larger sample sizes are required to confirm findings. Additionally, we revealed that four metabolites are nominally genetically associated with AD via a two-sample MR approach. But still, this association remains theoretical, as we were unable to substantiate it mechanistically. Besides, though over 400 metabolites were tested in this work, we did not conduct multiple testing correction for the MR results as we consider that multiple testing correction might miss out potential findings. Instead, we replicated the MR results in another independent cohort and conducted a meta-analysis to obtain candidate metabolites involved in AD risk, which is similar to a previous MR analysis conducted by Cai et al. (2022) . Last, despite valuable insights offered by MR analysis in understanding etiology, triangulation of evidence is needed to enhance the findings of this work. Therefore, it is imperative to validate our findings through RCTs and fundamental research prior to their clinical application.

5 Conclusion

In conclusion, this current MR analysis provides evidence that certain blood metabolites are involved in AD development, and suggests that epiandrosterone sulfate and X-12680 might be the most promising metabolic biomarkers for AD screening, prevention and treatment in clinical settings. These finding offer a basis and new insight for future mechanistic investigations, although further studies are needed for validation.

Data availability statement

Publicly available datasets were analyzed in this study. Data about the blood metabolites can be found at: https://metabolomips.org/gwas/index.php?task=download . AD data from IGAP consortia can be found at: https://gwas.mrcieu.ac.uk/datasets/ieu-b-2/ . AD data from FinnGen consortia can be found at: https://r9.finngen.fi/pheno/G6_ALZHEIMER . AD data from EADB consortia can be found at: https://www.ebi.ac.uk/gwas/studies/GCST90027158 .

Ethics statement

This study is based on large-scale GWAS datasets, and not individual-level data. Ethical approval is not applicable.

Author contributions

QY: Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing. XH: Conceptualization, Formal analysis, Software, Writing – original draft. MY: Data curation, Supervision, Validation, Writing – review & editing. TJ: Data curation, Supervision, Validation, Writing – review & editing. BW: Formal analysis, Methodology, Validation, Writing – review & editing. ZZ: Data curation, Methodology, Validation, Writing – review & editing. FL: Conceptualization, Funding acquisition, Methodology, Supervision, Validation, Writing – review & editing.

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work is supported by the National Youth Qihuang Scholar Cultivation Program of National Administration of Traditional Chinese Medicine (Document No. 256 (2022)), the Natural Science Foundation of Anhui Province (No.2308085MH297), and the Natural Science Research Project Funding of Higher Education Institutions of Anhui Province (No. 2023AH040099, No. KJ2021A0549).

Acknowledgments

We express our gratitude to all the participants affiliated with the IGAP consortium, FinnGen consortium, and Metabolomics GWAS. Their contributions were invaluable to the completion of the study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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Supplementary material

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Abbreviations

AD, Alzheimer’s disease; MR, Mendelian randomization; GWAS, Genome-wide association study; SNPs, Single nucleotide polymorphisms; IVs, Instrumental variables; IVW, Inverse variance weighted; WM, Weighted median; CSF, cerebrospinal fluid; RCTs, Randomized controlled trials; MVMR, Multivariable Mendelian randomization; IGAP, the International Genomics of Alzheimer’s Project; IEU, the Integrative Epidemiology Unit; KEGG, the Kyoto Encyclopedia of Genes and Genomes; EADB, the European Alzheimer & Dementia Biobank; ICD, the International Classification of Diseases; proxy-ADD, proxy AD and related dementia.

1. ^ https://www.finngen.fi/fi

2. ^ https://www.ebi.ac.uk/gwas/

3. ^ http://www.phenoscanner.medschl.cam.ac.uk/

Barnes, D. E., and Yaffe, K. (2011). The projected effect of risk factor reduction on Alzheimer's disease prevalence. Lancet Neurol. 10, 819–828. doi: 10.1016/S1474-4422(11)70072-2

PubMed Abstract | Crossref Full Text | Google Scholar

Bellenguez, C., Kucukali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., et al. (2022). New insights into the genetic etiology of alzheimer's disease and related dementias. Nat. Genet. 54, 412–436. doi: 10.1038/s41588-022-01024-z

Blennow, K., and Zetterberg, H. (2018). Biomarkers for Alzheimer's disease: current status and prospects for the future. J. Intern. Med. 284, 643–663. doi: 10.1111/joim.12816

Boef, A. G., Dekkers, O. M., and le Cessie, S. (2015). Mendelian randomization studies: a review of the approaches used and the quality of reporting. Int. J. Epidemiol. 44, 496–511. doi: 10.1093/ije/dyv071

Bolanos, J. P., Almeida, A., and Moncada, S. (2010). Glycolysis: a bioenergetic or a survival pathway? Trends Biochem. Sci. 35, 145–149. doi: 10.1016/j.tibs.2009.10.006

Crossref Full Text | Google Scholar

Bowden, J., Davey, S. G., and Burgess, S. (2015). Mendelian randomization with invalid instruments: effect estimation and bias detection through egger regression. Int. J. Epidemiol. 44, 512–525. doi: 10.1093/ije/dyv080

Bowden, J., Davey, S. G., Haycock, P. C., and Burgess, S. (2016). Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet. Epidemiol. 40, 304–314. doi: 10.1002/gepi.21965

Brooks, G. A. (2018). The science and translation of lactate shuttle theory. Cell Metab. 27, 757–785. doi: 10.1016/j.cmet.2018.03.008

Buchman, A. S., Wilson, R. S., Bienias, J. L., Shah, R. C., Evans, D. A., and Bennett, D. A. (2005). Change in body mass index and risk of incident Alzheimer disease. Neurology 65, 892–897. doi: 10.1212/01.wnl.0000176061.33817.90

Burgess, S., Butterworth, A., and Thompson, S. G. (2013). Mendelian randomization analysis with multiple genetic variants using summarized data. Genet. Epidemiol. 37, 658–665. doi: 10.1002/gepi.21758

Cai, J., Li, X., Wu, S., Tian, Y., Zhang, Y., Wei, Z., et al. (2022). Assessing the causal association between human blood metabolites and the risk of epilepsy. J. Transl. Med. 20:437. doi: 10.1186/s12967-022-03648-5

Choi, K. W., Chen, C. Y., Stein, M. B., Klimentidis, Y. C., Wang, M. J., Koenen, K. C., et al. (2019). Assessment of bidirectional relationships between physical activity and depression among adults: a 2-sample Mendelian randomization study. JAMA Psychiatry 76, 399–408. doi: 10.1001/jamapsychiatry.2018.4175

Cummings, J. L., Morstorf, T., and Zhong, K. (2014). Alzheimer's disease drug-development pipeline: few candidates, frequent failures. Alzheimers Res. Ther. 6:37. doi: 10.1186/alzrt269

Cunnane, S., Nugent, S., Roy, M., Courchesne-Loyer, A., Croteau, E., Tremblay, S., et al. (2011). Brain fuel metabolism, aging, and Alzheimer's disease. Nutrition 27, 3–20. doi: 10.1016/j.nut.2010.07.021

Das, U. N. (2006). Pyruvate is an endogenous anti-inflammatory and anti-oxidant molecule. Med. Sci. Monitor 12:RA79-84. doi: 10.12659/MSM.944600

Enche, A. C., Lim, S. M., Teh, L. K., Salleh, M. Z., Chin, A. V., Tan, M. P., et al. (2017). Metabolomic-guided discovery of Alzheimer's disease biomarkers from body fluid. J. Neurosci. Res. 95, 2005–2024. doi: 10.1002/jnr.24048

Garcia-Argibay, M., Hiyoshi, A., and Montgomery, S. (2023). Association between dementia risk and ulcerative colitis, with and without colectomy: a Swedish population-based register study. BMJ Open 13:e074110. doi: 10.1136/bmjopen-2023-074110

GBD 2019 Dementia Forecasting Collaborators (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the global burden of disease study 2019. Lancet Public Health 7, e105–e125. doi: 10.1016/S2468-2667(21)00249-8

Gill, D., Brewer, C. F., Monori, G., Tregouet, D. A., Franceschini, N., Giambartolomei, C., et al. (2019). Effects of genetically determined iron status on risk of venous thromboembolism and carotid atherosclerotic disease: a Mendelian randomization study. J. Am. Heart Assoc. 8:e012994. doi: 10.1161/JAHA.119.012994

González-Domínguez, R., García-Barrera, T., and Gómez-Ariza, J. L. (2014). Combination of metabolomic and phospholipid-profiling approaches for the study of Alzheimer's disease. J. Proteome 104, 37–47. doi: 10.1016/j.jprot.2014.01.014

Gouras, G. K., Xu, H., Gross, R. S., Greenfield, J. P., Hai, B., Wang, R., et al. (2000). Testosterone reduces neuronal secretion of Alzheimer's beta-amyloid peptides. Proc. Natl. Acad. Sci. USA 97, 1202–1205. doi: 10.1073/pnas.97.3.1202

Gray, L. R., Tompkins, S. C., and Taylor, E. B. (2014). Regulation of pyruvate metabolism and human disease. Cell. Mol. Life Sci. 71, 2577–2604. doi: 10.1007/s00018-013-1539-2

Greco, M. F., Minelli, C., Sheehan, N. A., and Thompson, J. R. (2015). Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome. Stat. Med. 34, 2926–2940. doi: 10.1002/sim.6522

Hampel, H., Lista, S., Teipel, S. J., Garaci, F., Nistico, R., Blennow, K., et al. (2014). Perspective on future role of biological markers in clinical therapy trials of Alzheimer's disease: a long-range point of view beyond 2020. Biochem. Pharmacol. 88, 426–449. doi: 10.1016/j.bcp.2013.11.009

Hampel, H., O'Bryant, S. E., Molinuevo, J. L., Zetterberg, H., Masters, C. L., Lista, S., et al. (2018). Blood-based biomarkers for Alzheimer disease: mapping the road to the clinic. Nat. Rev. Neurol. 14, 639–652. doi: 10.1038/s41582-018-0079-7

Han, A. R., Park, H. R., Kim, G. J., Kim, B. R., Kim, Y. R., Park, H. H., et al. (2021). 18: 0 Lyso PC derived by bioactivity-based molecular networking from lentil mutant lines and its effects on high-fat diet-induced obese mice. Molecules 26:7547. doi: 10.3390/molecules26247547

Hemani, G., Tilling, K., and Davey, S. G. (2017). Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genet. 13:e1007081. doi: 10.1371/journal.pgen.1007081

Igarashi, M., Chang, L., Ma, K., and Rapoport, S. I. (2013). Kinetics of eicosapentaenoic acid in brain, heart and liver of conscious rats fed a high n-3 PUFA containing diet. Prostaglandins Leukot. Essent. Fatty Acids 89, 403–412. doi: 10.1016/j.plefa.2013.09.004

Isopi, E., Granzotto, A., Corona, C., Bomba, M., Ciavardelli, D., Curcio, M., et al. (2015). Pyruvate prevents the development of age-dependent cognitive deficits in a mouse model of Alzheimer's disease without reducing amyloid and tau pathology. Neurobiol. Dis. 81, 214–224. doi: 10.1016/j.nbd.2014.11.013

Jack, C. J., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., et al. (2018). Nia-aa research framework: toward a biological definition of Alzheimer's disease. Alzheimers Dement. 14, 535–562. doi: 10.1016/j.jalz.2018.02.018

Jack, C. J., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., et al. (2010). Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol. 9, 119–128. doi: 10.1016/S1474-4422(09)70299-6

Kang, H. J., Min, B. K., Choi, W. I., Jeon, J. H., Kim, D. W., Park, S., et al. (2021). Pyruvate dehydrogenase kinase 1 and 2 deficiency reduces high-fat diet-induced hypertrophic obesity and inhibits the differentiation of preadipocytes into mature adipocytes. Exp. Mol. Med. 53, 1390–1401. doi: 10.1038/s12276-021-00672-1

Kaur, G., Cameron-Smith, D., Garg, M., and Sinclair, A. J. (2011). Docosapentaenoic acid (22:5n-3): a review of its biological effects. Prog. Lipid Res. 50, 28–34. doi: 10.1016/j.plipres.2010.07.004

Kelly, L., Grehan, B., Chiesa, A. D., O'Mara, S. M., Downer, E., Sahyoun, G., et al. (2011). The polyunsaturated fatty acids, EPA and DPA exert a protective effect in the hippocampus of the aged rat. Neurobiol. Aging 32, 2318.e1–2318.15. doi: 10.1016/j.neurobiolaging.2010.04.001

Kivipelto, M., Ngandu, T., Fratiglioni, L., Viitanen, M., Kareholt, I., Winblad, B., et al. (2005). Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease. Arch. Neurol. 62, 1556–1560. doi: 10.1001/archneur.62.10.1556

Kuehn, B. M. (2020). In Alzheimer research, glucose metabolism moves to center stage. JAMA 323, 297–299. doi: 10.1001/jama.2019.20939

Kunkle, B. W., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019). Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates aβ, tau, immunity and lipid processing. Nat. Genet. 51, 414–430. doi: 10.1038/s41588-019-0358-2

Lin, W., Zhang, J., Liu, Y., Wu, R., Yang, H., Hu, X., et al. (2017). Studies on diagnostic biomarkers and therapeutic mechanism of Alzheimer's disease through metabolomics and hippocampal proteomics. Eur. J. Pharm. Sci. 105, 119–126. doi: 10.1016/j.ejps.2017.05.003

Lord, J., Jermy, B., Green, R., Wong, A., Xu, J., Legido-Quigley, C., et al. (2021). Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer's disease. Proc. Natl. Acad. Sci. USA 118:e2009808118. doi: 10.1073/pnas.2009808118

Luo, J., Thomassen, J. Q., Bellenguez, C., Grenier-Boley, B., de Rojas, I., Castillo, A., et al. (2023). Genetic associations between modifiable risk factors and Alzheimer disease. JAMA Netw. Open 6:e2313734. doi: 10.1001/jamanetworkopen.2023.13734

Ma, Y., Du, X., Zhao, D., Tang, K., Wang, X., Guo, S., et al. (2021). 18:0 Lyso PC, a natural product with potential PPAR-gamma agonistic activity, plays hypoglycemic effect with lower liver toxicity and cardiotoxicity in db/db mice. Biochem. Biophys. Res. Commun. 579, 168–174. doi: 10.1016/j.bbrc.2021.09.059

Mozaffarian, D., and Wu, J. H. (2012). (N-3) fatty acids and cardiovascular health: are effects of EPA and DHA shared or complementary? J. Nutr. 142, 614S–625S. doi: 10.3945/jn.111.149633

Nebel, R. A., Aggarwal, N. T., Barnes, L. L., Gallagher, A., Goldstein, J. M., Kantarci, K., et al. (2018). Understanding the impact of sex and gender in Alzheimer's disease: a call to action. Alzheimers Dement. 14, 1171–1183. doi: 10.1016/j.jalz.2018.04.008

Nellemann, B., Gormsen, L. C., Sorensen, L. P., Christiansen, J. S., and Nielsen, S. (2012). Impaired insulin-mediated antilipolysis and lactate release in adipose tissue of upper-body obese women. Obesity 20, 57–64. doi: 10.1038/oby.2011.290

O’Connor, L. J., and Price, A. L. (2018). Distinguishing genetic correlation from causation across 52 diseases and complex traits. Nat. Genet. 50, 1728–1734. doi: 10.1038/s41588-018-0255-0

Peng, Y., Gao, P., Shi, L., Chen, L., Liu, J., and Long, J. (2020). Central and peripheral metabolic defects contribute to the pathogenesis of Alzheimer's disease: targeting mitochondria for diagnosis and prevention. Antioxid. Redox Signal. 32, 1188–1236. doi: 10.1089/ars.2019.7763

Pike, C. J., Carroll, J. C., Rosario, E. R., and Barron, A. M. (2009). Protective actions of sex steroid hormones in Alzheimer's disease. Front. Neuroendocrinol. 30, 239–258. doi: 10.1016/j.yfrne.2009.04.015

Qiu, C., von Strauss, E., Fastbom, J., Winblad, B., and Fratiglioni, L. (2003). Low blood pressure and risk of dementia in the Kungsholmen project: a 6-year follow-up study. Arch. Neurol. 60, 223–228. doi: 10.1001/archneur.60.2.223

Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., et al. (1996). Preclinical evidence of Alzheimer's disease in persons homozygous for the epsilon 4 allele for apolipoprotein e. N. Engl. J. Med. 334, 752–758. doi: 10.1056/NEJM199603213341202

Reitz, C., Tang, M. X., Schupf, N., Manly, J. J., Mayeux, R., and Luchsinger, J. A. (2010). Association of higher levels of high-density lipoprotein cholesterol in elderly individuals and lower risk of late-onset Alzheimer disease. Arch. Neurol. 67, 1491–1497. doi: 10.1001/archneurol.2010.297

Sanna, S., van Zuydam, N. R., Mahajan, A., Kurilshikov, A., Vich, V. A., Võsa, U., et al. (2019). Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases. Nat. Genet. 51, 600–605. doi: 10.1038/s41588-019-0350-x

Schmerler, D., Neugebauer, S., Ludewig, K., Bremer-Streck, S., Brunkhorst, F. M., and Kiehntopf, M. (2012). Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients. J. Lipid Res. 53, 1369–1375. doi: 10.1194/jlr.P023309

Serrano-Pozo, A., Aldridge, G. M., and Zhang, Q. (2017). Four decades of research in Alzheimer's disease (1975-2014): a bibliometric and scientometric analysis. J. Alzheimers Dis. 59, 763–783. doi: 10.3233/JAD-170184

Shin, S. Y., Fauman, E. B., Petersen, A. K., Krumsiek, J., Santos, R., Huang, J., et al. (2014). An atlas of genetic influences on human blood metabolites. Nat. Genet. 46, 543–550. doi: 10.1038/ng.2982

Smith, G. D., and Ebrahim, S. (2003). 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? Int. J. Epidemiol. 32, 1–22. doi: 10.1093/ije/dyg070

Stern, Y., Gurland, B., Tatemichi, T. K., Tang, M. X., Wilder, D., and Mayeux, R. (1994). Influence of education and occupation on the incidence of Alzheimer's disease. JAMA 271, 1004–1010. doi: 10.1001/jama.1994.03510370056032

Sun, C., Gao, M., Wang, F., Yun, Y., Sun, Q., Guo, R., et al. (2020). Serum metabolomic profiling in patients with Alzheimer disease and amnestic mild cognitive impairment by GC/MS. Biomed. Chromatogr. 34:e4875. doi: 10.1002/bmc.4875

Sun, L., Guo, D., Jia, Y., Shi, M., Yang, P., Wang, Y., et al. (2022). Association between human blood metabolome and the risk of Alzheimer's disease. Ann. Neurol. 92, 756–767. doi: 10.1002/ana.26464

Tauffenberger, A., Fiumelli, H., Almustafa, S., and Magistretti, P. J. (2019). Lactate and pyruvate promote oxidative stress resistance through hormetic ROS signaling. Cell Death Dis. 10:653. doi: 10.1038/s41419-019-1877-6

Varesi, A., Carrara, A., Pires, V. G., Floris, V., Pierella, E., Savioli, G., et al. (2022). Blood-based biomarkers for Alzheimer's disease diagnosis and progression: an overview. Cells 11:1367. doi: 10.3390/cells11081367

Varma, V. R., Oommen, A. M., Varma, S., Casanova, R., An, Y., Andrews, R. M., et al. (2018). Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: a targeted metabolomics study. PLoS Med. 15:e1002482. doi: 10.1371/journal.pmed.1002482

Wang, X., Hu, X., Yang, Y., Takata, T., and Sakurai, T. (2015). Systemic pyruvate administration markedly reduces neuronal death and cognitive impairment in a rat model of Alzheimer's disease. Exp. Neurol. 271, 145–154. doi: 10.1016/j.expneurol.2015.06.008

White, J., Sofat, R., Hemani, G., Shah, T., Engmann, J., Dale, C., et al. (2016). Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis. Lancet Diabetes Endocrinol. 4, 327–336. doi: 10.1016/S2213-8587(15)00386-1

Yang, J., Yan, B., Zhao, B., Fan, Y., He, X., Yang, L., et al. (2020). Assessing the causal effects of human serum metabolites on 5 major psychiatric disorders. Schizophr. Bull. 46, 804–813. doi: 10.1093/schbul/sbz138

Yu, L., Jin, J., Xu, Y., and Zhu, X. (2022). Aberrant energy metabolism in Alzheimer's disease. J. Transl. Intern. Med. 10, 197–206. doi: 10.2478/jtim-2022-0024

Zuccolo, L., and Holmes, M. V. (2017). Commentary: Mendelian randomization-inspired causal inference in the absence of genetic data. Int. J. Epidemiol. 46, 962–965. doi: 10.1093/ije/dyw327

Keywords: metabolites, Alzheimer’s disease, Mendelian randomization, causality, genome-wide association study, epiandrosterone sulfate

Citation: Yang Q, Han X, Ye M, Jiang T, Wang B, Zhang Z and Li F (2024) Association of genetically predicted 486 blood metabolites on the risk of Alzheimer’s disease: a Mendelian randomization study. Front. Aging Neurosci . 16:1372605. doi: 10.3389/fnagi.2024.1372605

Received: 18 January 2024; Accepted: 27 March 2024; Published: 12 April 2024.

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Copyright © 2024 Yang, Han, Ye, Jiang, Wang, Zhang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fei Li, [email protected]

† These authors have contributed equally to this work and share first authorship

This article is part of the Research Topic

Genetic Testing In Treatment and Management of Alzheimer’s Disease