Skip to main content

ORIGINAL RESEARCH article

Front. Neurol., 05 July 2024
Sec. Dementia and Neurodegenerative Diseases
This article is part of the Research Topic Common pathophysiology underpinning Parkinson's disease and other neurodegenerative diseases View all 11 articles

Cognitive impairment and the gut-brain axis during 2014–2023: a bibliometric analysis

Jindi He&#x;Jindi He1Jiaxun Wu
&#x;Jiaxun Wu2*Juan LiuJuan Liu1Hangcai WuHangcai Wu1Heliu HuaHeliu Hua1
  • 1Rehabilitation Department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China
  • 2Digestive Department, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian, China

Background: The burden on society grows as the number of individuals with cognitive impairment rises. Numerous research have discovered a connection between cognitive impairment and the gut-brain axis, which is useful in examining the pathophysiology of cognitive impairment and potential therapeutic approaches. As a result, this article explores developments and trends in the research concerning the gut-brain axis and cognitive impairment through a bibliometric analysis of the contributions made by various countries/regions, institutions, authors, and journals.

Methods: We looked for articles on gut-brain axis and cognitive impairment from 2014 to 2023 in the Web of Science Core Collection. For the descriptive analysis, figures and tables were taken using GraphPad Prism 6 and WPS Office 2024. For the visual analysis of the countries/regions, institutions, authors, and keywords, VOSviewer was utilized.

Results: We obtained 458 publications from 1 January 2014 to 9 September 2023. The country with the most publications (175, 38.21%) was China. The country with the greatest total number of citations (3,138, 17.22%) was the United States of America. The highest number of articles (15, 3.26%) was issued by Zhejiang University. The most published first author is Karsas M. In this field, Nutrients have published the most articles (24). The most often occurring keywords include “Alzheimer’s disease,” “cognitive impairment,” “gut microbiota,” “inflammation,” “diet,” etc. “Stroke,” “tau,” “probiotics,” “exercise,” “fecal microbiota transplantation,” etc. emerged later.

Conclusion: An increasing amount of research has focused on the connection between cognitive impairment and the gut-brain axis. In this area, the United States of America and China have both made significant contributions. The author team’s collaboration has to be improved. Our study contributes to understanding the field’s current state and predicting its future trend.

1 Introduction

The typical sign of cognitive impairment is a deterioration in one or more cognitive domains, such as memory, attention, executive function, etc., either subjectively or objectively. It encompasses subjective cognitive decline, mild cognitive impairment (MCI), and dementia. According to a 2022 meta-analysis (1), 15.56% of persons 50 years of age and older who live in the community had MCI worldwide. Compared to other regions, the rates of MCI are higher in the Asia/Pacific and Latin America/Caribbean regions. Region has an impact on the prevalence of MCI. According to an analysis conducted for the global burden of disease research (2), there were 5.74 million cases of dementia in 2019, and 15.28 million cases are predicted to arise by 2050. Different countries and regions have varied growth projections.

The social and economic burden has increased due to the rise in the number of individuals suffering from cognitive impairment. In order to look into potential treatments, a lot of research has been concentrated on the pathophysiology of cognitive impairment. An increasing number of research have demonstrated a connection between the gut-brain axis and cognitive impairment. Individuals with mild cognitive impairment have diverse gut microbes. and it’s linked to executive function and attention (3). Wu et al. (4) discovered that the excretory-secretory products derived from parasites alleviate gut microbiota dysbiosis and enhance cognitive impairment caused by a high-fat diet.

Within the field of library and information science, bibliometry focuses primarily on the quantitative analysis of bibliometric data (5). Bibliometric analysis is the statistical process of analyzing published data (e.g., books, journal articles) and associated metadata (e.g., authors, abstracts, keywords) in an effort to find correlations (6). We used bibliometric analysis to identify research developments on the gut-brain axis’s association with cognitive impairment and to predict potential future trends for this relationship.

2 Materials and methods

2.1 Data sources and search strategies

The Web of Science Core Collection1 is widely acknowledged as one of the most commonly utilized databases for bibliometric analysis. On 10 September 2023, we conducted a search of publications in the Web of Science Core Collection. A combination of keyword searches and Medical Subject Headings (MeSH) searches were used to gather data. In the search bar, type the terms “cognitive impairment” and “gut-brain axis.” We studied a broad range of review literature to extract keywords based on the supplement of MeSH search results. The publication date ranges from 1 January 2014 to 9 September 2023. English is the language used. Table 1 presents the search queries. Only original articles and reviews were allowed in this sort of publication. Figure 1 displays the publishing screening flow chart.

Table 1
www.frontiersin.org

Table 1. The search queries.

Figure 1
www.frontiersin.org

Figure 1. Publication screening flow chart.

2.2 Data collection

We get all relevant publications from the database, including the following details: title, author, author address, source journals, author keywords, keyword plus, number of citations, publication date, and more.

2.3 Bibliometric analysis

To analyze the data, import it into WPS Office 2024, GraphPad Prism 6, and VOSviewer (1.6.19). Two components make up our analysis: 1. Descriptive analysis of publications annually, countries/regions, institutions, journals, authors, and cited references using WPS Office 2024 and GraphPad Prism 6. 2. VOSviewer is a bibliometric analysis tool that uses data from nations/regions, journals, authors, or publications to create and visualize bibliometric networks based on co-authorship, co-citation, and co-occurrence interactions (7). Use VOSviewer to carry out the analysis listed below: (1) The co-authorship analysis of the countries/regions, institutions, and authors. (2) The co-occurrence analysis of all keywords.

3 Results

3.1 Analysis of publications

After retrieving 468 publications, we chose 461 papers that fit the publishing type of original articles and reviews. Out of them, two publications are deemed irrelevant and one is repeated; ultimately, 458 papers fulfilled the study’s standards. 257 reviews make up 56.11% of all publications. Of all the articles, there are 201 original studies (43.89%), all of which were conducted in vivo. Of the original studies, 145 (72.14%) were conducted on animals, while 56 (27.86%) involved humans. The total number of publications indicates a growing trend from 1 January 2014 to 9 September 2023. It grew slowly prior to 2020, but it has developed quickly since then (Figure 2A).

Figure 2
www.frontiersin.org

Figure 2. The number of publications about the topic and country/regional cooperation map. (A) The number of publications of the correlation between cognitive impairment and gut-brain axis from 2014 to 2023. (B) The number of publications of the correlation between cognitive impairment and gut-brain axis from the top 10 countries or regions per year. (C) The number of publications, sum of citations (×0.05) and average of citations per article in the top 20 countries or region. (D) The co-authorship chart between countries/regions.

3.2 Analysis of countries/regions

As Figure 2B illustrates, in 2014, research on the connection between cognitive impairment and the gut-brain axis was published only in the United States of America (USA) and Australia. Since 2015, China, Italy, Spain, England, South Africa, India, Canada, and Japan have published articles on related topics. China has published a growing number of publications every year; in 2014, there were none; by 2022, there were 60 publications (13.10%).

In terms of total publications, China ranks first (175, 38.21%), single country publications (146, 31.88%), followed by the USA and Italy (Figure 2C). All articles related to cognitive impairment and the gut-brain axis been cited 18,219 times since 2014. The USA has the highest total number of citations (3,138, 17.22%). By comparing the average number of citations per article, Ireland (115.5) ranks first. In the diagram of co-authorship between countries, the larger the node, the more the total link strength. The USA has the most cooperation with other countries, with a total link strength of 76, followed by England, with a total link strength of 51. The third, fourth, and fifth countries with strong co-authorship are China, Italy, and Spain, with a total link strength of 48, 46, and 33, respectively (Figure 2D).

China leads in both overall publications (175, 38.21%) and single country publications (146, 31.88%), with the USA and Italy following (Figure 2C). Since 2014, 18,219 times have been cited in all publications related to cognitive impairment and the gut-brain axis. With 3,138 citations (17.22%), the USA has the most citations overall. Ireland comes out on top when considering the average amount of citations per article (115.5). The greater the node’s size in the co-authorship diagram between countries/regions (Figure 2D), the stronger the total link. With a total link strength of 76, the USA leads all other countries/regions in collaboration. England comes in second with a total link strength of 51. China, Italy, and Spain, with total link strengths of 48, 46, and 33, respectively, are the third, fourth, and fifth countries with strong co-authorship.

3.3 Analysis of institutions

Zhejiang University has the most publications, as indicated in Figure 3A, with a total of 15, or 3.26% of all publications. Central South University and Capital Medical University follow with 10, 2.17%, and 9, 1.95% of all publications, respectively. The above institutions originate in China. Twelve institutions from China, two from Australia, and six each from Italy, Ireland, Thailand, England, India, and the USA make up the top 20 institutions with the most publications. A co-authorship chart between institutions is displayed in Figure 3B. Zhejiang University in China (37), Capital Medical University in China (29), Consiglio Nazionale delle Ricerche in Italy (25), University of Pittsburgh in the USA (25), University of Naples Federico II in Italy (25), University of Melbourne in Australia (25), King’s College London in England (22), University of California Davis in the United States of America (22), Gazi University in Turkey (21), and Sun Yat-Sen University in China (21) are the top 10 institutions with the highest total link strength.

Figure 3
www.frontiersin.org

Figure 3. The number of publications of the top 20 institutions and institutions cooperation map. (A) The number of publications of the top 20 institutions. (B) The co-authorship chart between institutions.

3.4 Analysis of authors

As shown in Table 2, the top four authors published 13 papers overall with the first author, which representing 2.8% of all publications. With a total of four articles published, Karsas M from the University of Pretoria in South Africa had the most publications. Following him were three individuals who produced three publications as first authors: Bajaj JS in the USA, Zhu GS in China, and Shi HL in China. Stilling RM, an Irish author, had the highest average number of citations per article (441 times; Table 3). The co-authorship of each author is displayed in Figure 4. The authors who have the strongest overall links are Pan W (88), Yang XY (78), Shi HL (74), Yu YH (74), Bajaj JS (46), Cryan JF (44), and Gareau MG (34). While teams of authors within the same country collaborate with each other to some extent, teams within different nations do not collaborate as often.

Table 2
www.frontiersin.org

Table 2. The top 4 authors with the most papers published by the first author.

Table 3
www.frontiersin.org

Table 3. The top 4 authors with the highest average number of citations per paper published by the first author.

Figure 4
www.frontiersin.org

Figure 4. The co-authorship chart between authors.

3.5 Analysis of journals

A total of 176 articles, or 38.4% of the total, were published by the top 20 journals in terms of publications. Figure 5 displays the total number of articles published in the top 20 journals. With 24 articles, Nutrients [impact factor (IF) = 5.9,2022, Q1] has the highest number of publications, followed by 16 related publications from Frontiers in Neuroscience. With 15, 13, and 11 articles published, Frontiers in Aging Neuroscience, Journal of Alzheimer’s Disease, and International Journal of Molecular Sciences were the top 3, 4, and 5 journals, respectively. Microbiome, with 7 publications, had the greatest IF of these 20 journals (IF = 15.5, 2022, Q1).

Figure 5
www.frontiersin.org

Figure 5. The number of publications of the top 20 journals.

3.6 Analysis of cited references

Table 4 lists the top 10 papers that have been cited the most. There were at least 181 citations for each of these papers. The paper titled “The neuropharmacology of butyrate: The bread and butter of the microbiota-gut-brain axis?” by Stilling RM et al., published on Neurochemistry International in 2016, received 441 citations overall, making it the most cited paper annually on average (55.13 times). The period covered by these 10 publications was from 2016 to 2020. Alzheimer’s & Dementia, Brain Behavior and Immunity, and Movement Disorders produced three highly referenced articles in 2019.

Table 4
www.frontiersin.org

Table 4. The top 10 papers cited most frequently related to cognitive impairment and gut-brain axis.

3.7 Analysis of keywords

We analyzed all of the keywords that were taken out of the publications using VOSviewer. As seen in Figure 6A, keywords are terms found in the author keywords and keyword plus of all articles; terms found more than six times are used to create a visual map. The frequency of keywords appears increases with node size. Three clusters were created out of the keywords: related disease (cluster 1), pathological mechanism (cluster 2), and intervention measure (cluster 3). Within the related disease cluster, the most often occurring keywords were: “cognitive impairment” (195 times), “Alzheimer’s disease” (196 times), “dementia” (57 times), and “aging” (49 times). Within the cluster of pathological mechanism, the following keywords are most often mentioned: “gut microbiota” (322 times), “gut-brain axis” (259 times), “inflammation” (151 times), “fatty acids” (89 times), and “amyloid-beta” (76 times). “Cognition” (74 times), “diet” (71 times), and “probiotics” (66 times) were the most commonly occurring cluster words in the intervention measure. The color of VOSviewer is determined by the average appearing year (AAY) of the keywords, as illustrated in Figure 6B. The sooner the keyword occurs, the closer the blue represents, and the later the keyword appears, the closer the yellow represents. “Irritable bowel syndrome” (AAY = 2018) emerged earlier in the cluster 1, whereas “stroke” (AAY = 2021) occurred later. In cluster 2, tau’s AAY was 2022 while glucagon-like peptide-1’s AAY was 2018. “Neuroprotection” (AAY = 2019) emerged first in cluster 3, while “probiotics” (AAY = 2021), “fecal microbiota transplantation” (AAY = 2021), and “exercise” (AAY = 2021) emerged later.

Figure 6
www.frontiersin.org

Figure 6. Keyword co-occurrence chart. (A) Different colors represent different clusters. All keywords were divided into 3 clusters. (B) The average occurrence year of keywords is different and the color is different. The closer the blue is, the earlier the keywords appear, and the closer the yellow is, the later the keywords appear.

4 Discussion

We are paying more and more attention to cognitive impairment as its incidence rises around the world. Reducing modifiable risk factors and deepening research into the biological basis of cognitive impairment are predicted to lower the prevalence of cognitive impairment. There is evidence from numerous studies suggesting the gut-brain axis and cognitive impairment are related, and during the past 10 years, there has been a gradual increase in this field of study. Research hotspots and future trends in this field are examined through a bibliometric analysis of the relationship between cognitive impairment and the gut-brain axis.

It is noteworthy that various countries or regions have varying rates of cognitive impairment prevalence. A higher percentage of people with mild cognitive impairment live in East Asia/Pacific or Latin America/Caribbean (1). These regions include China, Japan, Mexico, Brazil, and the USA. While there was an increase in dementia cases in every country, the regions with the greatest increases in terms of percentage change were North Africa, the Middle East, and eastern sub-Saharan Africa (2). The rising prevalence and regional differences have prompted these regions to invest in research on the relationship between cognitive impairment and the gut-brain axis. China is the country with the greatest production in this field, as evidenced by the number of articles it has published about the connection between cognitive impairment and the gut-brain axis. However, China is not as influential as Ireland in this field and its articles are not as frequently cited. Prior to other nations, the USA focused on the connection between cognitive impairment and the gut-brain axis, and the number of studies grew nearly yearly. Afterwards, significant contributions in this area have also been made by China, Italy, Australia, Spain, and England. It was discovered that the USA and England work closely with other nations in the co-authorship among countries/regions. Additionally, China, Italy, and Spain frequently collaborate with other nations.

China has the institutions that have conducted the most study on the connection between cognitive impairment and the gut-brain axis. China’s Zhejiang University, Capital Medical University, and Central South University have all made significant advances in this area. Institutions in close collaboration with other institutions include Zhejiang University in China, Capital Medical University in China, Consiglio Nazionale delle Ricerche in Italy, University of Pittsburgh in the USA, University of Naples Federico II in Italy, and University of Melbourne in Australia. Collaboration promotes the furtherance of research, regardless of whether it is within institutions or between nations.

The most productive author, Karsas M. from South Africa, published the most articles with the first author, and the most influential author, Stilling RM. from Ireland, published the most cited papers with the first author. The lack of collaboration throughout the author teams could be attributed to different research directions or geographic restrictions, thus more has to be done to foster increased teamwork, foster inter-team learning, and foster in-depth research.

Nutrients is the most productive journal on the relationship between cognitive impairment and the gut-brain axis. It focuses mostly on dietetics and nutrition research. This is because the intervention of the gut-brain axis involves dietary factors. Three of the top five journals are on neurology, which are Frontiers in Neuroscience, Frontiers in Aging Neuroscience and Journal of Alzheimers Disease. This is due to the tight connection between disorders of the neurological system and cognitive decline. Microbiome, a journal that focuses mostly on studying the microbial community, has the greatest IF out of the top 20 journals.

Higher influence in this field is associated with more cited papers. “The neuropharmacology of butyrate: The bread and butter of the microbiota-gut-brain axis?” was the most frequently cited article. This study examines how butyrate, a byproduct of gut microbes, affects several facets of human physiology, including the brain and behavior. The research of the gut microbiome’s involvement in neurological disorders linked to cognitive impairment was the subject of the second, third, fourth, eighth, ninth, and tenth most cited papers. The recently released papers should be carefully examined because they are not frequently cited.

The three clusters in the co-occurrence analysis graph of keywords are associated disease, pathological mechanism, and intervention measure. The frequency of occurrence of keywords indicates their concern in the field of the relationship between cognitive impairment and gut-brain axis. In Figure 6A, the focus of intervention measure is relatively small, and the resources invested are relatively small. It is necessary to increase the research on treatment options and look forward to more effective treatment measures. The keywords of pathological mechanism have been published recently, which may be related to the transfer of research in China and the USA to this aspect in the past 10 years. In addition, it may be because researchers have a strong interest in the relationship between intestinal brain axis and cognitive impairment. There are many factors involved in the nervous system, endocrine system, immune system and so on (8). This requires researchers to continue to dig deep and explore deep mechanisms to provide a basis for subsequent treatment.

In the cluster of related disease, Alzheimer’s disease appears the most frequently and is the focus of the study. A neurodegenerative condition, Alzheimer’s disease gradually advances from MCI to severe dementia. According to studies (9, 10) on humans and animals, Alzheimer’s disease may be influenced by the gut-brain axis. The aging population has led to a major increase in attention being paid to age-related cognitive decline. According to research (11), changes in the gut microbiota, increased intestinal permeability, and inflammation may all play significant roles in the development of age-related cognitive decline. In recent years, stroke has been a prominent topic for research. Stroke has gained a lot of attention and is currently a popular study issue. Hammond et al. (12) discovered that butyrate-producing microbiome, secondary bile acid-producing taxa, and equol-producing taxa were much lower in stroke patients, and that modifications to these microbiotas were linked to cognitive impairment following stroke. In addition to neurological diseases, there are other diseases that cause cognitive impairment, such as obesity. Studies have shown that high-fat diet-induced cognitive impairment in mice is associated with intestinal Janus kinase-3 deficiency (13).

Gut microbiota is a major focus in the pathogenic mechanism clustering. Numerous microbial communities, such as bacteria, fungus, and viruses, inhabit our skin, gastrointestinal system, and other tissues. The human intestine contains more than 100 trillion bacteria (14). Eleven distinct phyla make up the human gut microbiota, the most common of which are Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria (15). Changes in the composition of the gut microbiota can be brought about by illness or aging. For example, probiotic bifidobacteria strains have been shown to decrease with age (16). The gut-brain axis facilitates bidirectional communication between the gut and the central nervous system, controlling the immunological, neurological, neuroendocrine, and metabolic systems (8). Key metabolites of the gut microbiota are short-chain fatty acids (17), and a decrease in these fatty acids is linked to a decline in cognitive function (18). Systemic inflammation may result from dysbiosis of the gut microbiota. Pathological characteristics of Alzheimer’s disease include neuroinflammation (19). By identifying pathogens from microbial sources, toll-like receptors start the inflammatory process. Microglia from Alzheimer’s patients have been shown to exhibit toll-like receptors, suggesting a connection between inflammation and the onset of Alzheimer’s disease (20). Toll-like receptor signaling pathways-induced neuroinflammation is linked to age-related cognitive impairment (21). One of the pathological characteristics of Alzheimer’s disease is the buildup of extracellular amyloid-beta in the brain (19, 22). According to research by Sun et al. (22), amyloid-beta deposition may transfer from the gastrointestinal system to the brain and cause cognitive impairment. There has been a shift in research focus toward tau in recent times. One of the pathological characteristics of Alzheimer’s disease is cellular phosphorylation tau tangles (19). The gut microbiota of patients with Alzheimer’s disease-related cognitive impairment is linked to amyloid protein cascade markers like tau plasma phosphorylation (23).

The third cluster intervention measure focuses mostly on diet and cognition. By decreasing inflammation via the gut-brain axis, diet can halt the deterioration of cognition (24, 25). Certain diets, such high-fat diets, can lead to obesity-related cognitive impairment, therefore not all diets are good for you (13). Recent research has shown that supplemental probiotics, fecal microbiota transplantation, and exercise are all hot subjects. Probiotics have been shown in animal studies to modify the gut microbiota, reduce inflammation caused by lipopolysaccharides, change the concentration of neurotransmitters, and enhance cognitive performance (26, 27). A study conducted by Park et al. (28), discovered that fecal microbiota transplantation could postpone dementia patients’ cognitive impairment. Fecal microbiota transplantation has been shown to decrease neuroinflammation and enhance cognitive function in animal trials (29). Exercise can increase the diversity of gut bacteria, decrease intestinal inflammation, decrease intestinal inflammation, improve cognitive function, and alleviate fatigue (30).

There are intersections between these three keyword clusters. Related diseases like Alzheimer’s, stroke, and other neurological conditions, along with aging, obesity, and other factors, all contribute to cognitive impairment. The gut brain axis acts as a bridge between the dysfunction of intestinal flora and the loss in cognitive function that results from these disorders. The pathogenic mechanism includes oxidative stress, neuroinflammation, and other factors. Currently, intestinal flora imbalance can be adjusted and inflammation can be decreased through diet, probiotic supplementation, and other therapy regimens.

5 Limitations

This bibliometric analysis, which is based on VOSviewer, examines the macro link between the gut-brain axis and cognitive decline. However, the finer points, such as the pathophysiological connection between the gut-brain axis and cognition impairment in various disorders, have not been thoroughly examined. Articles published after 9 September 2023, were not included in the analysis.

6 Conclusion

Our bibliometric analysis of the correlation between the gut-brain axis and cognitive impairment revealed an annual rise in research in this area. Greater output in this field is produced in China and the USA. Universities make up the majority of the institutions with the most publications. It is necessary to improve the collaboration between the author’s teams. Focused keywords include Alzheimer’s disease, gut microbiota, and inflammation, etc. Research hotspots include probiotics, fecal microbiota transplantation, exercise, and more. Our research contributes to our understanding of the current state of the field on the relationship between cognitive impairment and the gut-brain axis and forecasts the direction of future studies in this area.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Author contributions

JH: Writing – original draft, Writing – review & editing. JW: Formal analysis, Methodology, Visualization, Writing – review & editing. JL: Data curation, Writing – review & editing. HW: Data curation, Writing – review & editing. HH: Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

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

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

References

1. Bai, W, Chen, P, Cai, H, Zhang, Q, Su, Z, Cheung, T, et al. Worldwide prevalence of mild cognitive impairment among community dwellers aged 50 years and older: a meta-analysis and systematic review of epidemiology studies. Age Ageing. (2022) 51:afac173. doi: 10.1093/ageing/afac173

PubMed Abstract | Crossref Full Text | Google Scholar

2. GBD 2019 Dementia Forecasting Collaborators . 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. (2022) 7:e105–25. doi: 10.1016/s2468-2667(21)00249-8

Crossref Full Text | Google Scholar

3. Fan, KC, Lin, CC, Liu, YC, Chao, YP, Lai, YJ, Chiu, YL, et al. Altered gut microbiota in older adults with mild cognitive impairment: a case-control study. Front Aging Neurosci. (2023) 15:1162057. doi: 10.3389/fnagi.2023.1162057

PubMed Abstract | Crossref Full Text | Google Scholar

4. Wu, J, Zhu, Y, Zhou, L, Lu, Y, Feng, T, Dai, M, et al. Parasite-derived excretory-secretory products alleviate gut microbiota Dysbiosis and improve cognitive impairment induced by a high-fat diet. Front Immunol. (2021) 12:710513. doi: 10.3389/fimmu.2021.710513

PubMed Abstract | Crossref Full Text | Google Scholar

5. Mejia, C, Wu, M, Zhang, Y, and Kajikawa, Y. Exploring topics in bibliometric research through citation networks and semantic analysis. Front Res Metr Anal. (2021) 6:742311. doi: 10.3389/frma.2021.742311

PubMed Abstract | Crossref Full Text | Google Scholar

6. Broadus, RN . Toward a definition of bibliometrics. Scientometrics. (1987) 12:373–9. doi: 10.1007/bf02016680

Crossref Full Text | Google Scholar

7. Eck, NJV, and Waltman, L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. (2010) 84:523–38. doi: 10.1007/s11192-009-0146-3

PubMed Abstract | Crossref Full Text | Google Scholar

8. Zhong, SR, Kuang, Q, Zhang, F, Chen, B, and Zhong, ZG. Functional roles of the microbiota-gut-brain axis in Alzheimer’s disease: implications of gut microbiota-targeted therapy. Transl Neurosci. (2021) 12:581–600. doi: 10.1515/tnsci-2020-0206

PubMed Abstract | Crossref Full Text | Google Scholar

9. MahmoudianDehkordi, S, Arnold, M, Nho, K, Ahmad, S, Jia, W, Xie, G, et al. Altered bile acid profile associates with cognitive impairment in Alzheimer’s disease-an emerging role for gut microbiome. Alzheimers Dement. (2019) 15:76–92. doi: 10.1016/j.jalz.2018.07.217

PubMed Abstract | Crossref Full Text | Google Scholar

10. Bisogno, T, Lauritano, A, and Piscitelli, F. The endocannabinoid system: a bridge between Alzheimer’s disease and gut microbiota. Life. (2021) 11:934. doi: 10.3390/life11090934

PubMed Abstract | Crossref Full Text | Google Scholar

11. Scott, KA, Ida, M, Peterson, VL, Prenderville, JA, Moloney, GM, Izumo, T, et al. Revisiting Metchnikoff: age-related alterations in microbiota-gut-brain axis in the mouse. Brain Behav Immun. (2017) 65:20–32. doi: 10.1016/j.bbi.2017.02.004

PubMed Abstract | Crossref Full Text | Google Scholar

12. Hammond, TC, Powell, E, Green, SJ, Chlipala, G, Frank, J, Yackzan, AT, et al. Functional recovery outcomes following acute stroke is associated with abundance of gut microbiota related to inflammation, butyrate and secondary bile acid. Front Rehabil Sci. (2022) 3:1017180. doi: 10.3389/fresc.2022.1017180

PubMed Abstract | Crossref Full Text | Google Scholar

13. Kumar, P, Mishra, J, and Kumar, N. Mechanistic role of Jak3 in obesity-associated cognitive impairments. Nutrients. (2022) 14:3715. doi: 10.3390/nu14183715

PubMed Abstract | Crossref Full Text | Google Scholar

14. Ley, RE, Peterson, DA, and Gordon, JI. Ecological and evolutionary forces shaping microbial diversity in the human intestine. Cell. (2006) 124:837–48. doi: 10.1016/j.cell.2006.02.017

PubMed Abstract | Crossref Full Text | Google Scholar

15. Bilen, M, Dufour, JC, Lagier, JC, Cadoret, F, Daoud, Z, Dubourg, G, et al. The contribution of culturomics to the repertoire of isolated human bacterial and archaeal species. Microbiome. (2018) 6:94. doi: 10.1186/s40168-018-0485-5

PubMed Abstract | Crossref Full Text | Google Scholar

16. Rondanelli, M, Giacosa, A, Faliva, MA, Perna, S, Allieri, F, and Castellazzi, AM. Review on microbiota and effectiveness of probiotics use in older. World J Clin Cases. (2015) 3:156–62. doi: 10.12998/wjcc.v3.i2.156

PubMed Abstract | Crossref Full Text | Google Scholar

17. Fang, Z, Chen, M, Qian, J, Wang, C, and Zhang, J. The bridge between ischemic stroke and gut microbes: short-chain fatty acids. Cell Mol Neurobiol. (2023) 43:543–59. doi: 10.1007/s10571-022-01209-4

Crossref Full Text | Google Scholar

18. de Rijke, TJ, Doting, MHE, van Hemert, S, De Deyn, PP, van Munster, BC, Harmsen, HJM, et al. A systematic review on the effects of different types of probiotics in animal Alzheimer’s disease studies. Front Psych. (2022) 13:879491. doi: 10.3389/fpsyt.2022.879491

PubMed Abstract | Crossref Full Text | Google Scholar

19. Nho, K, Kueider-Paisley, A, MahmoudianDehkordi, S, Arnold, M, Risacher, SL, Louie, G, et al. Altered bile acid profile in mild cognitive impairment and Alzheimer’s disease: relationship to neuroimaging and CSF biomarkers. Alzheimers Dement. (2019) 15:232–44. doi: 10.1016/j.jalz.2018.08.012

PubMed Abstract | Crossref Full Text | Google Scholar

20. Lin, C, Zhao, S, Zhu, Y, Fan, Z, Wang, J, Zhang, B, et al. Microbiota-gut-brain axis and toll-like receptors in Alzheimer’s disease. Comput Struct Biotechnol J. (2019) 17:1309–17. doi: 10.1016/j.csbj.2019.09.008

PubMed Abstract | Crossref Full Text | Google Scholar

21. Wu, ML, Yang, XQ, Xue, L, Duan, W, and Du, JR. Age-related cognitive decline is associated with microbiota-gut-brain axis disorders and neuroinflammation in mice. Behav Brain Res. (2021) 402:113125. doi: 10.1016/j.bbr.2021.113125

PubMed Abstract | Crossref Full Text | Google Scholar

22. Sun, Y, Sommerville, NR, Liu, JYH, Ngan, MP, Poon, D, Ponomarev, ED, et al. Intra-gastrointestinal amyloid-β1–42 oligomers perturb enteric function and induce alzheimer’s disease pathology. J Physiol. (2020) 598:4209–23. doi: 10.1113/jp279919

PubMed Abstract | Crossref Full Text | Google Scholar

23. Marizzoni, M, Mirabelli, P, Mombelli, E, Coppola, L, Festari, C, Lopizzo, N, et al. A peripheral signature of Alzheimer’s disease featuring microbiota-gut-brain axis markers. Alzheimers Res Ther. (2023) 15:101. doi: 10.1186/s13195-023-01218-5

Crossref Full Text | Google Scholar

24. Melzer, TM, Manosso, LM, Yau, SY, Gil-Mohapel, J, and Brocardo, PS. In pursuit of healthy aging: effects of nutrition on brain function. Int J Mol Sci. (2021) 22:5026. doi: 10.3390/ijms22095026

PubMed Abstract | Crossref Full Text | Google Scholar

25. Tan, W, Zhang, Q, Dong, Z, Yan, Y, Fu, Y, Liu, X, et al. Phosphatidylcholine ameliorates LPS-induced systemic inflammation and cognitive impairments via mediating the gut–brain axis balance. J Agric Food Chem. (2020) 68:14884–95. doi: 10.1021/acs.jafc.0c06383

PubMed Abstract | Crossref Full Text | Google Scholar

26. Zhang, S, Lv, S, Li, Y, Wei, D, Zhou, X, Niu, X, et al. Prebiotics modulate the microbiota-gut-brain axis and ameliorate cognitive impairment in APP/PS1 mice. Eur J Nutr. (2023) 62:2991–3007. doi: 10.1007/s00394-023-03208-7

PubMed Abstract | Crossref Full Text | Google Scholar

27. Lee, S, Eom, S, Lee, J, Pyeon, M, Kim, K, Choi, KY, et al. Probiotics that ameliorate cognitive impairment through anti-inflammation and anti-oxidation in mice. Food Sci Anim Resourc. (2023) 43:612–24. doi: 10.5851/kosfa.2023.e22

PubMed Abstract | Crossref Full Text | Google Scholar

28. Park, SH, Lee, JH, Kim, JS, Kim, TJ, Shin, J, Im, JH, et al. Fecal microbiota transplantation can improve cognition in patients with cognitive decline and Clostridioides difficile infection. Aging. (2022) 14:6449–66. doi: 10.18632/aging.204230

PubMed Abstract | Crossref Full Text | Google Scholar

29. Zhao, Q, Chen, J, Wu, M, Yin, X, Jiang, Q, Gao, H, et al. Microbiota from healthy mice alleviates cognitive decline via reshaping the gut-brain metabolic axis in diabetic mice. Chem Biol Interact. (2023) 382:110638. doi: 10.1016/j.cbi.2023.110638

PubMed Abstract | Crossref Full Text | Google Scholar

30. Matei, B, Winters-Stone, KM, and Raber, J. Examining the mechanisms behind exercise’s multifaceted impacts on body composition, cognition, and the gut microbiome in cancer survivors: exploring the links to oxidative stress and inflammation. Antioxidants. (2023) 12:1423. doi: 10.3390/antiox12071423

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: cognitive impairment, gut-brain axis, bibliometrics, VOSviewer, publications

Citation: He J, Wu J, Liu J, Wu H and Hua H (2024) Cognitive impairment and the gut-brain axis during 2014–2023: a bibliometric analysis. Front. Neurol. 15:1407956. doi: 10.3389/fneur.2024.1407956

Received: 08 April 2024; Accepted: 28 June 2024;
Published: 05 July 2024.

Edited by:

Nikhil Panicker, Johns Hopkins University, United States

Reviewed by:

Lijia Chang, Chiba University, Japan
Laura Mitrea, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, Romania

Copyright © 2024 He, Wu, Liu, Wu and Hua. 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: Jiaxun Wu, 577966713@qq.com

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

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.