SYSTEMATIC REVIEW article

Front. Microbiol., 09 January 2025

Sec. Systems Microbiology

Volume 15 - 2024 | https://doi.org/10.3389/fmicb.2024.1401597

Influential articles in autism and gut microbiota: bibliometric profile and research trends

  • 1. Department of Developmental Psychiatry, Institute of Mental Health, Singapore, Singapore

  • 2. Central Region, Institute of Mental Health, Singapore, Singapore

  • 3. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

  • 4. Department of Gastroenterology and Hepatology, Tan Tock Seng Hospital, Singapore, Singapore

  • 5. Research Division, Institute of Mental Health, Singapore, Singapore

Article metrics

View details

1

Citations

3,8k

Views

1,1k

Downloads

Abstract

Objective:

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder. Increasing evidence suggests that it is potentially related to gut microbiota, but no prior bibliometric analysis has been performed to explore the most influential works in the relationships between ASD and gut microbiota. In this study, we conducted an in-depth analysis of the most-cited articles in this field, aiming to provide insights to the existing body of research and guide future directions.

Methods:

A search strategy was constructed and conducted in the Web of Science database to identify the 100 most-cited papers in ASD and gut microbiota. The Biblioshiny package in R was used to analyze and visualize the relevant information, including citation counts, country distributions, authors, journals, and thematic analysis. Correlation and comparison analyses were performed using SPSS software.

Results:

The top 100 influential manuscripts were published between 2000 and 2021, with a total citation of 40,662. The average number of citations annually increased over the years and was significantly correlated to the year of publication (r = 0.481, p < 0.01, Spearman’s rho test). The United States was involved in the highest number of publications (n = 42). The number of publications in the journal was not significantly related to the journal’s latest impact factor (r = 0.016, p > 0.05, Spearman’s rho test). Co-occurrence network and thematic analysis identified several important areas, such as microbial metabolites of short-chain fatty acids and overlaps with irritable bowel syndrome.

Conclusion:

This bibliometric analysis provides the key information of the most influential studies in the area of ASD and gut microbiota, and suggests the hot topics and future directions. The findings of this study can serve as a valuable reference for researchers and policymakers, guiding the development and implementation of the scientific research strategies in this area.

Introduction

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and interaction, alongside the manifestation of repetitive and restrictive behavior patterns (APA, 2022). The global prevalence of ASD has been estimated to be around 1%, and the prevalence estimates have increased over time in various countries (Zeidan et al., 2022). Persons with ASD may have emotional and behavioral problems, such as self-harm, aggression, temper tantrums, and property destruction (Jang et al., 2011). They often have other psychiatric conditions, such as anxiety, depression, and psychosis (Dan et al., 2020). The economic costs of ASD are huge, and they include costs for healthcare services, special education, production loss for persons with ASD, lost productivity for caregivers, and respite care (Rogge and Janssen, 2019). In the United States, it has been reported that the average yearly expenditure for emergency room services is $15,929 for ASD, compared to $2,598 for non-ASD; and yearly expenditure for outpatient visits is $4,375 for ASD compared to $824 for non-ASD (Vohra et al., 2017). In the United Kingdom, it has been estimated that adolescents with ASD who need additional special education or residential schooling can cost £10,507 in 6 months (Barrett et al., 2015).

The composition of the gut microbiota has been reported to be associated with ASD. The gut microbiota has a very diverse composition and is composed of bacteria, as well as fungi, viruses and protists (Enaud et al., 2018). It has a bidirectional connection with the central nervous system. Millions of nerve cells in the gut form the enteric nervous system which is recognized as a second brain (Gershon, 1999). The microbiota-gut-brain axis has been studied and the bidirectional communication of this pathway occurs through various mechanisms, including enteric nervous system, autonomic nervous system, immune system, hormones, and neurotransmitters (Cryan and Dinan, 2012). Possible involvement of a microbial element in the pathogenesis of ASD was first reported in 1998, when Bolte (1998) introduced the hypothesis that Clostridium tetani neurotoxin was transported from the gastrointestinal tract to the central nervous system via the vagus nerve, causing symptoms of ASD. The link between gut microbiota and ASD has been studied in animal models. One study published in 2019 that transplanted gut microbiota from human ASD patients into germ-free mice revealed development of hallmark autistic behaviors in the recipient animals (Sharon et al., 2019). The association between gut microbiota and ASD has also been reported in human studies. For example a pyrosequencing study observed that Bacteroidetes were present at high levels in the persons with ASD, while Firmicutes were more abundant in the healthy control group (Finegold et al., 2010).

Given the rising trend of interest related to ASD and gut microbiota, it is worthwhile to identify the most influential scientific achievements amidst the abundance of literature in this research area. Bibliometric analysis is a widely used, rigorous approach for exploring extensive scientific datasets and extracting useful information, such as author names, total citations, and country distributions (Donthu et al., 2021). It can visualize the detailed results and help researchers to develop a thorough understanding of the research trajectory in the field and identify research hotspots and gaps. For example, a recent bibliometric analysis presents a comprehensive global overview of artificial intelligence in life science research and suggests that coordinated international research efforts are necessary to advance this research area (Schmallenbach et al., 2024). As bibliometric analysis offers both quantitative and qualitative insights into the influence and evolution of academic communication, it assists policymakers to track emerging trends and make informed choices about research funding and collaboration strategies (Hassan and Duarte, 2024).

To the best of our knowledge, no prior bibliometric analysis has been performed to explore the most influential works in the field of ASD and gut microbiota. This study seeks to fill this gap by conducting an in-depth analysis of the most-cited articles concerning the intersection of ASD and gut microbiota, with the goal of providing valuable insights to the existing body of research and guiding researchers and policymakers in evaluating and making informed decisions related to this field.

Materials and methods

Article selection

The Clarivate Analytics Web of Science database was used to identify relevant articles in this current bibliometric review. The Web of Science database has the capability to retrieve numerous articles with comprehensive details, including titles, author names, total download times, and total citations. It is an extensive repository which includes major journals across more than 170 subjects (Quan et al., 2024). In addition, it enhances coverage by including citations from scientific publications dating back to 1900 and encompasses all significant high-impact scientific journals (Martin-Martin et al., 2018; Tomova et al., 2015). Various studies, including those on gut microbiota and other diseases, have relied solely on the Web of Science database as their primary source for conducting bibliometric analyses (Chang et al., 2023; Ring et al., 2020; Wan et al., 2022; Ying et al., 2022).

To find pertinent articles, several recent systematic reviews related to ASD or gut microbiota were referenced to create search terms (Lewandowska-Pietruszka et al., 2023; Perna et al., 2023; Wang A. et al., 2023). Besides, an information specialist was consulted to help in further refinement of the search strategies and ensure the comprehensive retrieval of all relevant articles. The following search terminologies were used in this bibliometric review: TS = (“autism” OR “autistic” OR “Asperger*” OR “pervasive developmental disorder*”) AND TS = (“microbiome*” OR “microbiota*” OR “flora*” OR “microbe*” OR “microflora*” OR “microbial”). The terminology TS denotes a search focused on the topic of interest.

Using this approach, the Web of Science database was systematically searched in January 2024. No restrictions were implemented in terms of the language of articles and the publication dates. The publications were ranked according to the number of citations, and they were then reviewed to identify the 100 most-cited papers. Studies were included if (1) one of their focuses was related to the topic of ASD and gut microbiota, (2) the type of the document was either Article or Review Article according to the Web of Science database. Other types of documents, such as Editorial Material, Meeting Abstract, and Book Chapters, were excluded. Two authors (JY and MZ) independently performed the selection of the top 100 papers with the most citations, based on the title and abstract and reading the full texts if needed. If any disagreement arose, a third author was consulted to achieve an agreement.

Data analysis

The bibliometric data analysis was performed using Biblioshiny package in R (Version 4.3.2) (Aria and Cuccurullo, 2017). The Biblioshiny package was previously utilized for this type of analysis in various areas, such as the application of deep learning in cancer (Wang R. et al., 2024), the use of monoclonal antibodies for atherosclerosis (Ma et al., 2023), and the global impact of metaproteomics research (Ascandari et al., 2023). All data were downloaded from the Web of Science database and imported into Biblioshiny, which could convert and analyze the information, including the authors, years of publication, number of citations, and distribution of countries/regions. The study type was categorized into three main groups: (1) animal studies, which incorporated animal models in their study design; (2) human studies, which involved persons with ASD; and (3) reviews, encompassing literature reviews or systematic reviews. The impact factor of each journal was extracted from the Clarivate Analytics Journal Citation Reports.

All statistical analysis was conducted using SPSS software (Version 25). The Shapiro–Wilk test was used to test the normality of the distribution of variables. Spearman’s rho test was applied to assess the correlations between two variables. Mann–Whitney U test was performed to assess for any statistically significant differences between two groups, and the Kruskal–Wallis test was conducted to compare the differences between three or more groups. All p values were two-tailed, and a p-value of ≤0.05 was considered to indicate statistical significance.

Results

Overview

A total of 1,537 articles were retrieved from the Web of Science database on 10 January 2024, and the 100 most-cited papers were identified after screening. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used to describe the detailed screening process (Figure 1). General information of the selected articles is detailed in Table 1. The trends of the annual publications of the 100 most-cited articles are described in Figure 2.

FIGURE 1

TABLE 1

No.ReferenceJournalJournal impact factor at the year of publicationJournal impact factor in 2023ArticleStudy typeTotal citationsAnnual citations
1Hsiao et al., 2013Cell33.11645.6Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disordersAnimal study2,081173.42
2Cryan et al., 2019Physiological Reviews25.58833.4The microbiota-gut-brain axisReview1,769294.83
3Carabotti et al., 2015Annals of GastroenterologyNil2.1The gut-brain axis: interactions between enteric microbiota, central and enteric nervous systemsReview1,412141.20
4Rinninella et al., 2019Microorganisms4.1524.1What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseasesReview1,395232.50
5Gilbert et al., 2018Nature Medicine30.64158.7Current understanding of the human microbiomeReview1,133161.86
6Fung et al., 2017Nature Neuroscience19.91221.3Interactions between the microbiota, immune and nervous systems in health and diseaseReview1,027128.38
7Riviere et al., 2016Frontiers in Microbiology4.0764.0Bifidobacteria and butyrate-producing colon bacteria: importance and strategies for their stimulation in the human gutReview928103.11
8Mayer et al., 2015Journal of Clinical Investigation12.57513.3Gut/brain axis and the microbiotaReview84784.70
9Nguyen et al., 2015Disease Models & Mechanisms4.3164.0How informative is the mouse for human gut microbiota research?Review80880.80
10Sharon et al., 2016Cell30.4145.6The central nervous system and the gut microbiomeReview78787.44
11Kang et al., 2017Microbiome9.13313.8Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label studyHuman study72290.25
12Borre et al., 2014bTrends in Molecular Medicine9.45312.8Microbiota and neurodevelopmental windows: implications for brain disordersReview69062.73
13Buffington et al., 2016Cell30.4145.6Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspringAnimal study67875.33
14Sampson and Mazmanian, 2015Cell Host & Microbe12.55220.6Control of brain development, function, and behavior by the microbiomeReview66466.40
15Morais et al., 2021Nature Reviews Microbiology78.29769.2The gut microbiota-brain axis in behaviour and brain disordersReview659164.75
16Finegold et al., 2010Anaerobe2.4482.5Pyrosequencing study of fecal microflora of autistic and control childrenHuman study64342.87
17Adams et al., 2011BMC Gastroenterology2.4222.5Gastrointestinal flora and gastrointestinal status in children with autism-comparisons to typical children and correlation with autism severityHuman study62544.64
18Kang et al., 2013PLoS One3.5342.9Reduced incidence of prevotella and other fermenters in intestinal microflora of autistic childrenHuman study60550.42
19Mayer et al., 2014aJournal of Neuroscience6.3444.4Gut microbes and the brain: paradigm shift in neuroscienceReview55950.82
20Sharon et al., 2019Cell38.63745.6Human gut microbiota from autism spectrum disorder promote behavioral symptoms in miceAnimal study54290.33
21Strati et al., 2017Microbiome9.13313.8New evidences on the altered gut microbiota in autism spectrum disordersHuman study53967.38
22Parracho et al., 2005Journal of Medical Microbiology2.3182.4Differences between the gut microflora of children with autistic spectrum disorders and that of healthy childrenHuman study52726.35
23Dinan and Cryan, 2017cGastroenterology Clinics of North America3.2652.9The microbiome-gut-brain axis in health and diseaseReview52665.75
24De Angelis et al., 2013PLoS One3.5342.9Fecal microbiota and metabolome of children with autism and pervasive developmental disorder not otherwise specifiedHuman study52643.83
25Zhang et al., 2015International Journal of Molecular Sciences3.2574.9Impacts of gut bacteria on human health and diseasesReview51351.30
26Kho and Lal, 2018Frontiers in Microbiology4.2594.0The human gut microbiome – a potential controller of wellness and diseaseReview51173.00
27Cryan et al., 2020Lancet Neurology44.18246.6The gut microbiome in neurological disordersReview503100.60
28Wang and Kasper, 2014Brain Behavior and Immunity5.8898.8The role of microbiome in central nervous system disordersReview50045.45
29Hills et al., 2019Nutrients4.5464.8Gut microbiome: profound implications for diet and diseaseReview48881.33
30Finegold et al., 2002Clinical Infectious DiseasesNil8.2Gastrointestinal microflora studies in late-onset autismHuman study47620.70
31Dinan and Cryan, 2017bJournal of Physiology-London4.544.7Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegenerationReview43153.88
32Stilling et al., 2014Genes Brain and Behavior3.6612.4Microbial genes, brain & behaviour – epigenetic regulation of the gut-brain axisReview41637.82
33Sandler et al., 2000Journal of Child Neurology1.1342.0Short-term benefit from oral vancomycin treatment of regressive-onset autismHuman study39615.84
34Sgritta et al., 2019Neuron14.41514.7Mechanisms underlying microbial-mediated changes in social behavior in mouse models of autism spectrum disorderAnimal study38964.83
35Song et al., 2004Applied and Environmental Microbiology3.813.9Real-time PCR quantitation of clostridia in feces of autistic childrenHuman study38818.48
36Kim et al., 2017Nature41.57750.5Maternal gut bacteria promote neurodevelopmental abnormalities in mouse offspringAnimal study38548.13
37Hoban et al., 2016Translational Psychiatry4.735.8Regulation of prefrontal cortex myelination by the microbiotaAnimal study38342.56
38Tomova et al., 2015Physiology & Behavior2.4612.4Gastrointestinal microbiota in children with autism in SlovakiaHuman study37237.20
39Petra et al., 2015Clinical Therapeutics2.9253.2Gut-microbiota-brain axis and its effect on neuropsychiatric disorders with suspected immune dysregulationReview36236.20
40Akdis, 2021Nature Reviews Immunology108.55567.7Does the epithelial barrier hypothesis explain the increase in allergy, autoimmunity and other chronic conditions?Review35689.00
41Barko et al., 2018Journal of Veterinary Internal Medicine2.2862.1The gastrointestinal microbiome: a reviewReview34749.57
42Luczynski et al., 2016International Journal of NeuropsychopharmacologyNil4.5Growing up in a bubble: using germ-free animals to assess the influence of the gut microbiota on brain and behaviorReview34438.22
43Kang et al., 2019Scientific Reports3.9983.8Long-term benefit of microbiota transfer therapy on autism symptoms and gut microbiotaHuman study33756.17
44Vuong and Hsiao, 2017Biological Psychiatry11.9849.6Emerging roles for the gut microbiome in autism spectrum disorderReview33041.25
45Ghaisas et al., 2016Pharmacology & Therapeutics11.12712.0Gut microbiome in health and disease: linking the microbiome-gut-brain axis and environmental factors in the pathogenesis of systemic and neurodegenerative diseasesReview32536.11
46Vuong et al., 2017Annual Review of Neuroscience14.67512.1The microbiome and host behaviorReview31939.88
47Dinan et al., 2015Journal Of Psychiatric Research4.4653.7Collective unconscious: how gut microbes shape human behaviorReview31931.90
48Williams et al., 2011PLoS One4.0922.9Impaired carbohydrate digestion and transport and mucosal dysbiosis in the intestines of children with autism and gastrointestinal disturbancesHuman study31322.36
49de Theije et al., 2014Brain Behavior and Immunity5.8898.8Altered gut microbiota and activity in a murine model of autism spectrum disordersAnimal study28425.82
50Wang et al., 2011Applied And Environmental Microbiology3.8293.9Low relative abundances of the mucolytic bacterium Akkermansia muciniphila and Bifidobacterium spp. In feces of children with autismHuman study28220.14
51Williams et al., 2012mBio5.6255.1Application of novel PCR-based methods for detection, quantitation, and phylogenetic characterization of Sutterella species in intestinal biopsy samples from children with autism and gastrointestinal disturbancesHuman study27921.46
52Moloney et al., 2014Mammalian Genome3.0682.7The microbiome: stress, health and diseaseReview27424.91
53Hoyles et al., 2018Microbiome10.46513.8Microbiome-host systems interactions: protective effects of propionate upon the blood-brain barrierHuman study26638.00
54Wang et al., 2013Molecular Autism5.4866.2Increased abundance of Sutterella spp. and Ruminococcus torques in feces of children with autism spectrum disorderHuman study26121.75
55Li et al., 2017Frontiers in Cellular Neuroscience4.34.2The gut microbiota and autism spectrum disordersReview25531.88
56Wang et al., 2012Digestive Diseases and Sciences2.262.5Elevated fecal short chain fatty acid and ammonia concentrations in children with autism spectrum disorderHuman study25219.38
57Mangiola et al., 2016World Journal of Gastroenterology3.3654.3Gut microbiota in autism and mood disordersReview23726.33
58Liu S. M. et al., 2019Scientific Reports3.9983.8Altered gut microbiota and short chain fatty acids in Chinese children with autism spectrum disorderHuman study23539.17
59Sherwin et al., 2019Science41.84644.8Microbiota and the social brainReview22737.83
60Yap et al., 2010Journal of Proteome Research5.1133.8Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controlsHuman study22414.93
61Borre et al., 2014aAdvances in Experimental Medicine and Biology1.9583.65The impact of microbiota on brain and behavior: mechanisms & therapeutic potentialReview22120.09
62Lees et al., 2013Journal of Proteome Research5.0013.8Hippurate: the natural history of a mammalian-microbial cometaboliteReview22018.33
63Pärtty et al., 2015Pediatric Research2.7613.1A possible link between early probiotic intervention and the risk of neuropsychiatric disorders later in childhood: a randomized trialHuman study21221.20
64Cenit et al., 2017World Journal of Gastroenterology3.34.3Influence of gut microbiota on neuropsychiatric disordersReview20725.88
65Cristofori et al., 2021Frontiers in Immunology8.7875.7Anti-inflammatory and immunomodulatory effects of probiotics in gut inflammation: a door to the bodyReview20551.25
66Wang et al., 2016Journal of Neurogastroenterology and Motility2.4573.3Effect of probiotics on central nervous system functions in animals and humans: a systematic reviewReview20522.78
67Golubeva et al., 2017EBioMedicine6.1839.7Microbiota-related changes in bile acid & tryptophan metabolism are associated with gastrointestinal dysfunction in a mouse model of autismAnimal study20425.50
68Mayer et al., 2014bBioEssays4.733.2Altered brain-gut axis in autism: comorbidity or causative mechanisms?Review20418.55
69Knight et al., 2017Annual Review of Genomics and Human Genetics8.6767.7The microbiome and human biologyReview20325.38
70Zhu et al., 2020Journal of Neuroinflammation8.3229.3The progress of gut microbiome research related to brain disordersReview19939.80
71Fattorusso et al., 2019Nutrients4.5464.8Autism spectrum disorders and the gut microbiotaReview19732.83
72Diaz-Gerevini et al., 2016Nutrition3.423.2Beneficial action of resveratrol: how and why?Review19521.67
73Evrensel and Ceylan, 2015Clinical Psychopharmacology and Neuroscience1.52.4The gut-brain axis: the missing link in depressionReview19519.50
74Altves et al., 2020Bioscience of Microbiota Food and Health3.1212.5Interaction of the microbiota with the human body in health and diseasesReview19338.60
75Gacias et al., 2016eLife7.7256.4Microbiota-driven transcriptional changes in prefrontal cortex override genetic differences in social behaviorAnimal study19021.11
76Kang et al., 2018Anaerobe2.7042.5Differences in fecal microbial metabolites and microbiota of children with autism spectrum disordersHuman study18927.00
77Luna et al., 2017Cellular and Molecular Gastroenterology and HepatologyNil7.1Distinct microbiome-neuroimmune signatures correlate with functional abdominal pain in children with autism spectrum disorderHuman study18923.63
78Sherwin et al., 2018Annals of the New York Academy of Sciences4.2954.1Recent developments in understanding the role of the gut microbiota in brain health and diseaseReview18626.57
79Vendrik et al., 2020Frontiers in Cellular and Infection Microbiology5.2934.6Fecal microbiota transplantation in neurological disordersReview18336.60
80Long-Smith et al., 2020Annual Review of Pharmacology and Toxicology13.8211.2Microbiota-gut-brain axis: new therapeutic opportunitiesReview18336.60
81Groer et al., 2014MicrobiomeNil13.8Development of the preterm infant gut microbiome: a research priorityReview18316.64
82Srikantha and Mohajeri, 2019International Journal of Molecular Sciences4.5564.9The possible role of the microbiota-gut-brain-axis in autism spectrum disorderReview17929.83
83Hiippala et al., 2016Frontiers in Microbiology4.0764.0Mucosal prevalence and interactions with the epithelium indicate commensalism of Sutterella spp.Human study17919.89
84Nishino et al., 2013Neurogastroenterology and Motility3.4243.5Commensal microbiota modulate murine behaviors in a strictly contamination-free environment confirmed by culture-based methodsAnimal study17814.83
85Grimaldi et al., 2018Microbiome10.46513.8A prebiotic intervention study in children with autism spectrum disordersHuman study17625.14
86Dinan and Cryan, 2015Current Opinion in Clinical Nutrition and Metabolic Care4.0333.0The impact of gut microbiota on brain and behaviour: implications for psychiatryReview17617.60
87Mulle et al., 2013Current Psychiatry Reports3.0545.5The gut microbiome: a new frontier in autism researchReview17414.50
88Burokas et al., 2015Advances in Applied Microbiology4.1285.515Microbiota regulation of the mammalian gut-brain axisReview17317.30
89Holmes et al., 2012Science Translational Medicine10.75715.8Therapeutic modulation of microbiota-host metabolic interactionsReview17113.15
90Matta et al., 2019Brain Behavior and Immunity6.6338.8The influence of neuroinflammation in autism spectrum disorderReview17028.33
91Dinan and Cryan, 2017aPsychosomatic Medicine3.812.9Brain-gut-microbiota axis and mental healthReview17021.25
92Newell et al., 2016Molecular Autism4.8336.2Ketogenic diet modifies the gut microbiota in a murine model of autism spectrum disorderAnimal study16918.78
93Sherwin et al., 2016CNS Drugs4.3947.4May the force be with you: the light and dark sides of the microbiota-gut-brain axis in neuropsychiatryReview16818.67
94Liu et al., 2015Journal of Agricultural and Food ChemistryNil5.7Modulation of gut microbiota brain axis by probiotics, prebiotics, and dietReview16716.70
95Chen et al., 2021Nutrients6.7064.8Regulation of neurotransmitters by the gut microbiota and effects on cognition in neurological disordersReview16541.25
96Jyonouchi et al., 2002Neuropsychobiology2.0652.3Innate immunity associated with inflammatory responses and cytokine production against common dietary proteins in patients with autism spectrum disorderHuman study1647.13
97Choi and Cho, 2016Clinical EndoscopyNil2.1Fecal microbiota transplantation: current applications, effectiveness, and future perspectivesReview16318.11
98Ming et al., 2012Journal of Proteome Research5.0563.8Metabolic perturbance in autism spectrum disorders: a metabolomics studyHuman study16312.54
99Liu F. T. et al., 2019Translational Psychiatry5.285.8Altered composition and function of intestinal microbiota in autism spectrum disorders: a systematic reviewReview16227.00
100Spielman et al., 2018Neurochemistry International3.9944.4Unhealthy gut, unhealthy brain: the role of the intestinal microbiota in neurodegenerative diseasesReview16123.00

The 100 most-cited articles in autism spectrum disorder and gut microbiota.

FIGURE 2

Citations

The total citation frequency for all the 100 selected articles was 40,662, with a median citation of 280.5. The number of citations for each article ranged from 161 to 2,081. The top article with the most total citations was “Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders” by Hsiao et al. (2013) (total citations of 2,081). The most-cited human study was “Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study” by Kang et al. (2017) (total citations of 722), while the most cited randomized clinical trial was “A possible link between early probiotic intervention and the risk of neuropsychiatric disorders later in childhood: a randomized trial” by Pärtty et al. (2015) (total citations of 212).

To exclude the effect of year on citation numbers, the annual citation rate was analyzed. Figure 3 demonstrates the trends of citations per year of the 100 selected articles. The annual citation rate was trending upward overall from 2000 to 2021. The annual citation was 15.8 in 2000, and it reached the peak in 2021 with annual citations of 86.6. The annual citation rate of each paper ranged from 7.13 to 294.83. The top article with the most annual citations was “The microbiota-gut-brain axis” by Cryan et al. (2019) (annual citations of 294.83).

FIGURE 3

To better understand the relationship between annual citations and annual publications, the average number of citations per article per year was calculated. Figure 4 presents this average citation count for each year. The trend was fluctuating prior to 2013, as there were fewer than five articles published each year. However, as the annual number of publications increased in recent years, the trend showed an overall upward trajectory.

FIGURE 4

The total citation rate of an article was not significantly correlated to the year of publication (r = 0.097, p > 0.05, Spearman’s rho test). However, the annual citation rate of an article was significantly related to the year of publication (r = 0.481, p < 0.01, Spearman’s rho test).

Among the 100 selected articles, there were 11 animal studies, 27 human studies, and 62 reviews. The total citation rate and annual citation rate were not significantly different between the three study types (p > 0.05, Kruskal–Wallis test). When combining animal and human studies into a single category of experimental studies, the citation rates for clinical studies were still not significantly different from those of review articles (p > 0.05, Mann–Whitney U test).

Countries

There were 28 countries involved in the 100 most-cited articles. The United States was involved in the highest number of publications (n = 42), followed by Ireland (n = 20), Italy (n = 9), England (n = 8), and China (n = 8). The details of the number of publications of each country are listed in Table 2.

TABLE 2

CountryNumber of publications
United States42
Ireland20
Italy9
England8
China8
Australia6
Belgium3
Canada3
Finland2
Japan2
Netherlands2
Sweden2
Switzerland2
Turkey2
Argentina1
Denmark1
France1
Germany1
Greece1
India1
Israel1
Malaysia1
Philippines1
Russia1
Singapore1
Slovakia1
South Korea1
Spain1

Number of publications of each country.

There were 20 countries which had collaborations with others. Figure 5 displays the collaboration network between these countries. The color of the node in Figure 5 represents different collaboration cluster, the width of the curved line indicates the link strength, and the distance between the nodes denotes approximate relatedness among the nodes. The United States had the most collaborations with other countries, and worked closely with the United Kingdom, Ireland, and China.

FIGURE 5

Authors

Among the 491 authors involved in the 100 most-cited articles, 8 authors published 5 or more articles. John F. Cryan was the most productive author, with 20 articles, followed by Timonthy G. Dinan with 19 articles. Table 3 lists the top 10 authors with most published articles.

TABLE 3

AuthorNumber of publications
John F. Cryan20
Timothy G. Dinan19
Gerard Clarke8
Sarkis K. Mazmanian6
James B. Adams5
Dae-Wook Kang5
Rosa Krajmalnik-Brown5
Eoin Sherwin5
Elaine Y. Hsiao4
Rob Knight4

Number of publications of the top 10 authors.

Most authors collaborated with others to publish their papers. However, Cezmi A. Akdis published a notable single-authored article titled “Does the epithelial barrier hypothesis explain the increase in allergy, autoimmunity and other chronic conditions?” in Nature Reviews Immunology. He is a professor in University of Zürich Medical Faculty and the Director of the Swiss Institute of Allergy and Asthma Research in Davos, Switzerland (Swiss Institute of Allergy and Asthma Research, 2024).

Among all the authors, Timothy G. Dinan and John F. Cryan collaborated most frequently. Timothy G. Dinan is a Professor of Psychiatry at University College Cork (University College Cork, 2024), while John F. Cryan is a Professor and Chair, Department of Anatomy and Neuroscience, University College Cork (APC Microbiome Ireland, 2024). Notably, many frequent collaborators are from the same institutions. For example, Emeran A. Mayer, the Director of the Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress and a Professor of Psychology Medicine (UCLA Brain Research Institute, 2024), and Kirsten Tillisch, a Professor of Medicine and gastroenterologist with a clinical interest in chronic pain and functional gastrointestinal disorders (UCLA Health, 2024), are both based at the University of California, Los Angeles, United States. Likewise, Elaine Holmes and Jeremy K. Nicholson are affiliated with the Faculty of Medicine at Imperial College London, United Kingdom. Elaine Holmes is a Professor of Chemical Biology with research interests in discovering and developing metabolic biomarkers for disease in personalized healthcare and population studies (Imperial College London, 2024a). Jeremy K. Nicholson, an Emeritus Professor of Biological Chemistry, focuses on personalized healthcare through metabolic phenotyping and systems medicine (Imperial College London, 2024b). All these researchers contributed to their collaborative works with their unique expertise and a shared focus on interactions between the brain, gut, and microbiome. The research area of autism and gut microbiota brought together experts from diverse disciplines, including psychiatry, neuroscience, gastroenterology, biological chemistry, and chemical biology.

Figure 6 illustrates the collaboration network between the authors who had at least three collaborations. The color of the node represents different collaboration cluster, the width of the curved line indicates the link strength, and the distance between the nodes denotes approximate relatedness among the nodes.

FIGURE 6

Journals

The 100 selected articles were published in 76 journals. The latest impact factors of the journals ranged from 2.0 to 69.2. Nature Reviews Microbiology was the journal with the highest impact factor, and published the article “The gut microbiota-brain axis in behaviour and brain disorders.” Journal of Child Neurology, with the lowest impact factor (impact factor of 1.134 at the time of publication and impact factor of 2 in 2023), published the paper “Short-term benefit from oral vancomycin treatment of regressive-onset autism.” Among the 76 journals, 14 published at least 2 of the selected articles. Microbiome was the most productive journal, with five articles, followed by Cell with four articles. Brain Behavior and Immunity, Frontiers in Microbiology, Journal of Proteome Research, Nutrients, and PLoS One all published three articles. The number of publications of the 100 most-cited articles in that journal was not significantly related to the journal’s latest impact factor (r = 0.016, p > 0.05, Spearman’s rho test). The list of journals with at least two publications is presented in Table 4.

TABLE 4

Name of journalNumber of articlesJournal impact factor in 2023
Microbiome513.8
Cell445.6
Brain Behavior and Immunity38.8
Frontiers in Microbiology34.0
Journal of Proteome Research33.8
Nutrients34.8
PLoS One32.9
Anaerobe22.5
Applied and Environmental Microbiology23.9
International Journal of Molecular Sciences24.9
Molecular Autism26.2
Scientific Reports23.8
Translational Psychiatry25.8
World Journal of Gastroenterology24.3

Journals with at least two publications.

KeyWords Plus

KeyWords Plus refer to indexed keywords derived from the titles of referenced articles that occur at least twice in the bibliography, and they offer valuable insights into research trends (Tomaszewski, 2023). Figure 7 provides an overview of the most-used KeyWords Plus. The most popular KeyWords Plus were “intestinal microbiota” (n = 35), “irritable bowel syndrome” (n = 25), and “chain fatty acids” (n = 24). To better understand the development of KeyWords Plus, the frequency of the original authors’ keywords was analyzed. Figure 8 presents an overview of the frequency of authors’ keywords, where larger font sizes indicate higher frequencies. In comparison to the authors’ keywords, certain KeyWords Plus, such as “irritable bowel syndrome” and “chain fatty acids,” appeared more frequently, highlighting emerging trends in this field. It was also observed that some KeyWords Plus, such as “obesity” and “probiotics” were used less frequently than the authors’ keywords.

FIGURE 7

FIGURE 8

Figure 9 illustrates the co-occurrence network of KeyWords Plus. The size of the node is proportional to the frequency of the word, the color of the node represents different cluster, and the width of the curved line indicates the link strength. The most popular word “intestinal microbiota” was linked to many other words, such as “autism,” “brain,” “children,” and “irritable bowel syndrome.”

FIGURE 9

Thematic analysis

The thematic map analysis based on KeyWords Plus is illustrated in Figure 10. A thematic map allows four typologies of themes to be categorized based on their placement in specific quadrants. Themes in the upper-right quadrant are identified as motor themes, characterized by both high density and centrality, signifying their development and relevance in the research field. In the upper-left quadrant, themes are classified as niche themes, marked by high density but low centrality, indicating their isolated development. Themes in the lower-left quadrant have low centrality and density, suggesting they are weakly developed and marginal. In the lower-right quadrant are basic themes, featuring high centrality (relevance) and low density (less development). As illustrated in Figure 8, several pertinent themes are discernible in this research field, such as chain-fatty acids, bacteria, and irritable bowel syndrome (IBS).

FIGURE 10

Discussion

General information

This study combined bibliometric analysis with network visualization to identify the first 100 highly impactful manuscripts in the field of ASD and gut microbiota, based on global citation frequency. It highlights the contributions that have driven substantial progress in this field, identifies the current research trends, and provides guidance for future research directions. Various aspects in this research domain were explored, including the top articles with most citations, correlations between citation rates and publication time, distribution of involved countries, contributions of key authors, impactful journals with most publications, and relevant themes in this field.

Among the 100 most-cited articles in the current review, the average number of citations annually increased over the years and was significantly correlated to the year of publication. However, there was no significant association between total number of citations and time of publication. These trends are consistent with bibliometric analyses in other areas, such as burns (Ring et al., 2020) and insomnia (Wan et al., 2022). This is likely due to the tendency of total citations to favor older publications, as more recent papers have a shorter duration to accumulation citations. The average number of citations annually, as different from the total citations, can eliminate the effect of time on citation numbers and provide a more accurate view of the immediate impact of the articles. Besides, as the association between autism and gut microbiota is a rapidly evolving field (Wang Q. et al., 2023), newer studies in this research area often receive high initial attention and are cited more frequently within the initial years, as they may represent cutting-edge findings or novel methodologies, leading to an increase in annual citation averages over time. The area in autism and gut microbiota may be different from foundational research which tends to accumulate citations consistently over long periods and has obscured direct association with the time of publication. Overall, the quantity of citations of an article is a useful proxy to indicate the significant of the study (Landreneau et al., 2020). It can be implied that the influence of research in autism and gut microbiota has been steadily increasing over the years.

In terms of the distribution of countries, the United States contributed to the largest volume of the publications, followed by other countries, such as Ireland, England, and China. These findings are similar to bibliometric reviews in other conditions, such as schizophrenia (Yang et al., 2022) and intellectual disability (Ying et al., 2022). The United States holds a competitive edge in this research domain and is likely to have a significant impact on the direction of research in this field and maintain the most robust global collaborations. The information of the distribution of countries can be valuable for researchers seeking to choosing the most suitable place for additional training or collaborative opportunities.

Each journal contributed one to five of the 100 most-cited articles. The number of the articles that the journal contributed was not related to the impact factor of the journal. These findings are consistent with other review papers on impactful studies, such as the landmark studies in burns (Ring et al., 2020). The impact factor was first introduced by Garfield (2006) and was commonly used as a measure to indicate the significance of a journal within its respective field. The impact factor pertains exclusively to journals and does not extend to individual articles. Thus, it is possible for a highly impactful study to be published in a journal with low impact factor. In the current review, one of the highly cited papers “short-term benefit from oral vancomycin treatment of regressive-onset autism” was published in 2000 in Journal of Child Neurology, a journal with an impact factor of 1.134 at the time of publication. At that time this article was submitted to a low impact journal was likely due to several reasons. This article focused on short-term effects in a small sample with preliminary nature of findings (Sandler et al., 2000) and this could make high-impact journal hesitant to publish it. Besides, at that time the concept of a link between autism and gut microbiota was not widely accepted, especially in high-impact journals. In addition, the authors at that time might not be aware of the significance of their work or chose the journal based on the audience specialization and journal readership. Nonetheless, this article is one of the early works to suggest a potential link between gut microbiota and autism and is one of the foundational references for researchers exploring this area. It has subsequently cited by numerous papers published in high-impact journals, such as Nature Reviews Gastroenterology & Hepatology (Hung and Margolis, 2024), Clinical Microbiology Reviews (Yadegar et al., 2024), and Microbiome (LaPelusa et al., 2021).

Our findings share certain similarities with other bibliometric analyses on gut microbiota in various conditions. For example, a bibliometric analysis on gut microbiota and Parkinson’s disease identified similar main research topics, including “short-chain fatty acids,” “probiotics,” and ‘inflammation” (Li et al., 2024). Another similar analysis on gut microbiota and obesity found similar top journals in this area, such as Nutrients, Scientific Reports, and Frontiers in Microbiology (Wang M. et al., 2024). Various bibliometric analyses related to gut microbiota revealed an overall upward trend in the number of publications and the United States being one of the leading countries in those research fields (Li et al., 2024; Ouyang et al., 2024; Wang M. et al., 2024). Together with other studies on similar fields of investigation, this current study can offer a clear insight into the current research landscape and emerging trends, serving as a valuable reference for researchers entering this field of gut microbiota.

Influential studies

The most-cited article among all the selected papers was “Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders” by Hsiao et al. (2013) published in Cell. This is a landmark study, as it demonstrated gastrointestinal barrier defects and microbiota changes in the maternal immune activation mouse model with autistic symptoms. This study found that treatment with the human commensal Bacteroides fragilis corrected gut permeability defects, altered the composition of the microbiota, regulated the serum levels of the metabolite of 4-ethylphenylsulfate, and alleviated abnormal communicative, anxiety-like, stereotyped, and sensorimotor behaviors. It proposed a groundbreaking idea that ASD could be potentially a disorder related to the gut, and that therapies involving the microbiome might offer a safe and effective approach to treating the disorder.

The human study with most citations was “Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study” authored by Kang et al. (2017) and published in Microbiome. In this open-label clinical trial, the efficacy of Microbiota Transfer Therapy was evaluated in terms of its impact on gut microbiota, gastrointestinal and autistic symptoms in children diagnosed with ASD. This study found that the abundance of Bifidobacterium, Prevotella, and Desulfovibrio increased after the intervention and the improvement persisted till the end of 8 weeks follow-up. These findings are promising and represent a pivotal advancement in understanding the relationship between gut microbiota and ASD.

The randomized clinical trial among the 100 most-cited articles was performed by Pärtty et al. (2015) who wrote the article “A possible link between early probiotic intervention and the risk of neuropsychiatric disorders later in childhood: a randomized trial” published in Pediatric Research. In this clinical trial, 75 infants were randomized to receive Lactobacillus rhamnosus GG or placebo during their first 6 months of life and were followed up for 13 years. At 13 years old, Asperger syndrome or attention deficit hyperactivity disorder was diagnosed in 17.1% of children in the placebo group, while none in the probiotic group. This influential study demonstrated, for the first time, that certain probiotics could potentially mitigate the risk of developing specific neurodevelopmental disorders.

The impactful paper published in the journal with the lowest impact factor among all the included articles was “Short-term benefit from oral vancomycin treatment of regressive-onset autism” by Sandler et al. (2000) published in Journal of Child Neurology. This open-label clinical trial demonstrated the short-term improvement in autistic symptoms after oral vancomycin treatment among 11 children with regressive-onset ASD. This early study, published in July 2000, indicated the potential existence of a gut-brain connection in a subgroup of children with both ASD and diarrhea.

Future outlook

The co-occurrence network of KeyWords Plus and thematic analysis in this study identified several important hotspots and future directions in this research area, such as microbial metabolites of short-chain fatty acids (SCFAs), role of bacteria, and overlaps of IBS.

Short-chain fatty acids are monocarboxylic acids containing fewer than six carbon atoms (Schonfeld and Wojtczak, 2016). The majority of SCFAs in the human intestine are acetic acid, butyric acid and propionic acid (Iniguez-Gutierrez et al., 2020). These organic acids result from the fermentation of dietary fiber and resistant starch in the intestine (Portincasa et al., 2022). Several well-designed animal studies have been performed to explore the relationship between SCFAs and ASD. For example, one study in Canada found that rats treated with propionic acid displayed more stereotypic behavior, nose pokes and locomotive activity (Meeking et al., 2020). Studies in human participants have also reported changes in SCFAs in the stool of ASD subjects. One recent study revealed that children with ASD and constipation had excessive propionic acid in feces (He et al., 2023). This study provided new clues to understand the etiology and biomarkers for ASD. However, the results in human studies are inconsistent (Lagod and Naser, 2023). The variability in human study outcomes highlights the need for further research on SCFA levels in individuals with ASD.

The composition of bacteria in the human gastrointestinal tract is complex. There are still inconsistences regarding the association between different bacteria and ASD in different studies. Some studies have reported higher abundance of Lactobacillus in ASD (Pulikkan et al., 2018; Strati et al., 2017), while it is also reported that Lactobacillus has decreased levels (Iovene et al., 2017). The diversity of gut microbiota has been reported to be either increased (Coretti et al., 2017) or decreased (Dan et al., 2020) in persons with ASD. Besides, the ratio between Firmicutes and Bacteroidetes in persons with ASD has been reported higher in some studies (Strati et al., 2017), and lower in other studies (Zhang et al., 2018). It has been pointed out that the inconsistent conclusions between different studies are likely due to various reasons, including underpowered research design and variation in use of multiple testing corrections (Li et al., 2022). In addition, gut microbiota composition may also be affected by other factors, such as age, body mass index, and dietary habits (Rinninella et al., 2019). Future investigations with more comprehensive and standardized methods may shed light on the intricate connections linking gut bacteria and ASD.

Irritable bowel syndrome is a chronic gastrointestinal disease with the core clinical symptoms of recurrent abdominal discomfort or pain, and altered bowel habits (Huang et al., 2023). IBS is commonly observed as a comorbid condition in individuals with ASD (Penzol et al., 2019). In conditions such as IBS and ASD, where dysbiosis is potentially present, the utilization of prebiotics and probiotics may serve as a low-risk therapeutic approach to improve symptoms (Abdellatif et al., 2020). One recent pilot randomized clinical trial published in Cell Host & Microbe tested the effect of bacterial species Limosilactobacillus reuteri in children with ASD and found that the bacteria significantly improved the social functioning (Mazzone et al., 2024). Results in recent studies are compelling to encourage additional future research on utilizing probiotics or specific microbes as treatment options for persons with ASD.

Limitations

Although this study provides valuable and comprehensive insights to help researchers and policymakers to understand the research trends and guide feature decision-making, it has several limitations. First, the literature search was conducted only in the Web of Science database. While the Web of Science is the leading database in scientometrics and many studies rely solely on it for bibliometric analysis, our findings could be more comprehensive if additional databases were included. Second, although bibliometric analysis provides a broad overview of research trends and networks, it may lack in-depth analysis as it does not evaluate the quality of the numerous studies. Third, this research field is advancing rapidly. It is possible that some recently published high-quality studies may be overlooked, due to the low accumulated citation numbers.

Conclusion

The present study, to our knowledge, is the first bibliometric analysis to comprehensively explore the 100 most-cited articles in the field of ASD and gut microbiota. By identifying and analyzing these pivotal studies, we provide a detailed overview of the most influential research in this domain. The results highlight key trends, emerging topics, and potential future directions for investigation. This analysis not only illuminates the current landscape of research but also offers valuable insights for researchers, clinicians, and policymakers. It serves as a critical reference for guiding the development and focus of future scientific inquiries and clinical practices related to ASD and gut microbiota.

Statements

Data availability statement

The original contributions presented in this study are included in this article/supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

JY: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Writing – original draft, Writing – review & editing. MZ: Conceptualization, Data curation, Formal analysis, Methodology, Writing – review & editing. K-CW: Conceptualization, Data curation, Methodology, Validation, Writing – review & editing. SW: Conceptualization, Methodology, Project administration, Supervision, Validation, Writing – review & editing. MS: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing.

Funding

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

Acknowledgments

We thank Yasmin Lynda Munro, the information specialist from the Nanyang Technological University for her assistance in refining the search strategy.

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.

References

  • 1

    AbdellatifB.McVeighC.BendrissG.ChaariA. (2020). The promising role of probiotics in managing the altered gut in autism spectrum disorders.Int. J. Mol. Sci.21:4159.

  • 2

    AdamsJ. B.JohansenL. J.PowellL. D.QuigD.RubinR. A. (2011). Gastrointestinal flora and gastrointestinal status in children with autism-comparisons to typical children and correlation with autism severity.BMC Gastroenterol.11:22. 10.1186/1471-230X-11-22

  • 3

    AkdisC. A. (2021). Does the epithelial barrier hypothesis explain the increase in allergy, autoimmunity and other chronic conditions?Nat. Rev. Immunol.21739751.

  • 4

    AltvesS.YildizH. K.VuralH. C. (2020). Interaction of the microbiota with the human body in health and diseases.Biosci. Microbiota Food Health392332.

  • 5

    APA (2022). Diagnostic and Statistical Mannual of Mental Disorders, Fifth Edition, Text Revision.Washington, DC: American Psychiatric Association.

  • 6

    APC Microbiome Ireland (2024). Available online at: https://www.ucc.ie/en/apc/people/principalinvestigators/johncryan/(accessed December 15, 2024).

  • 7

    AriaM.CuccurulloC. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis.J. Informetr.11959975.

  • 8

    AscandariA.AminuS.SafdiN. E. H.El AllaliA.DaoudR. (2023). A bibliometric analysis of the global impact of metaproteomics research.Front. Microbiol.14:1217727. 10.3389/fmicb.2023.1217727

  • 9

    BarkoP. C.McMichaelM. A.SwansonK. S.WilliamsD. A. (2018). The gastrointestinal microbiome: a review.J. Vet. Intern. Med.32925.

  • 10

    BarrettB.MosweuI.JonesC. R.CharmanT.BairdG.SimonoffE.et al (2015). Comparing service use and costs among adolescents with autism spectrum disorders, special needs and typical development.Autism19562569. 10.1177/1362361314536626

  • 11

    BolteE. R. (1998). Autism and Clostridium tetani.Med. Hypotheses51133144.

  • 12

    BorreY. E.MoloneyR. D.ClarkeG.DinanT. G.CryanJ. F. (2014a). The impact of microbiota on brain and behavior: mechanisms & therapeutic potential.Microb. Endocrinol.817373403.

  • 13

    BorreY. E.O’KeeffeG. W.ClarkeG.StantonC.DinanT. G.CryanJ. F. (2014b). Microbiota and neurodevelopmental windows: implications for brain disorders.Trends Mol. Med.20509518.

  • 14

    BuffingtonS. A.Di PriscoG. V.AuchtungT. A.AjamiN. J.PetrosinoJ. F.Costa-MattioliM. (2016). Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring.Cell16517621775. 10.1016/j.cell.2016.06.001

  • 15

    BurokasA.MoloneyR. D.DinanT. G.CryanJ. F. (2015). Microbiota regulation of the mammalian gut-brain axis.Adv. Appl. Microbiol.91162.

  • 16

    CarabottiM.SciroccoA.MaselliM. A.SeveriC. (2015). The gut-brain axis: interactions between enteric microbiota, central and enteric nervous systems.Ann. Gastroenterol.28203209.

  • 17

    CenitM. C.SanzY.Codoñer-FranchP. (2017). Influence of gut microbiota on neuropsychiatric disorders.World J. Gastroenterol.2354865498.

  • 18

    ChangY.OuQ.ZhouX.LiuJ.ZhangS. (2023). Global research trends and focus on the link between colorectal cancer and gut flora: a bibliometric analysis from 2001 to 2021.Front. Microbiol.14:1182006. 10.3389/fmicb.2023.1182006

  • 19

    ChenY. J.XuJ. Y.ChenY. (2021). Regulation of neurotransmitters by the gut microbiota and effects on cognition in neurological disorders.Nutrients13:2099.

  • 20

    ChoiH. H.ChoY. S. (2016). Fecal microbiota transplantation: current applications, effectiveness, and future perspectives.Clin. Endosc.49257265.

  • 21

    CorettiL.CristianoC.FlorioE.ScalaG.LamaA.KellerS.et al (2017). Sex-related alterations of gut microbiota composition in the BTBR mouse model of autism spectrum disorder.Sci. Rep.7:45356. 10.1038/srep45356

  • 22

    CristoforiF.DargenioV. N.DargenioC.MinielloV. L.BaroneM.FrancavillaR. (2021). Anti-inflammatory and immunomodulatory effects of probiotics in gut inflammation: a door to the body.Front. Immunol.12:578386. 10.3389/fimmu.2021.578386

  • 23

    CryanJ. F.DinanT. G. (2012). Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour.Nat. Rev. Neurosci.13701712. 10.1038/nrn3346

  • 24

    CryanJ. F.O’RiordanK. J.CowanC. S. M.SandhuK. V.BastiaanssenT. F. S.BoehmeM.et al (2019). The microbiota-gut-brain axis.Physiol. Rev.9918772013.

  • 25

    CryanJ. F.O’RiordanK. J.SandhuK.PetersonV.DinanT. G. (2020). The gut microbiome in neurological disorders.Lancet Neurol.19179194.

  • 26

    DanZ.MaoX.LiuQ.GuoM.ZhuangY.LiuZ.et al (2020). Altered gut microbial profile is associated with abnormal metabolism activity of Autism Spectrum Disorder.Gut Microbes1112461267.

  • 27

    De AngelisM.PiccoloM.VanniniL.SiragusaS.De GiacomoA.SerrazzanettiD. I.et al (2013). Fecal microbiota and metabolome of children with autism and pervasive developmental disorder not otherwise specified.PLoS One8:e76993. 10.1371/journal.pone.0076993

  • 28

    de TheijeC. G. M.WopereisH.RamadanM.van EijndthovenT.LambertJ.KnolJ.et al (2014). Altered gut microbiota and activity in a murine model of autism spectrum disorders.Brain Behav. Immun.37197206. 10.1016/j.bbi.2013.12.005

  • 29

    Diaz-GereviniG. T.RepossiG.DainA.TarresM. C.DasU. N.EynardA. R. (2016). Beneficial action of resveratrol: how and why?Nutrition32174178.

  • 30

    DinanT. G.CryanJ. F. (2015). The impact of gut microbiota on brain and behaviour: implications for psychiatry.Curr. Opin. Clin. Nutr. Metab. Care18552558.

  • 31

    DinanT. G.CryanJ. F. (2017a). Brain-gut-microbiota axis and mental health.Psychosom. Med.79920926.

  • 32

    DinanT. G.CryanJ. F. (2017b). Gut instincts: microbiota as a key regulator of brain development, ageing and neurodegeneration.J. Physiol. (Lond)595489503. 10.1113/JP273106

  • 33

    DinanT. G.CryanJ. F. (2017c). The microbiome-gut-brain axis in health and disease.Gastroenterol. Clin. North Am.467789.

  • 34

    DinanT. G.StillingR. M.StantonC.CryanJ. F. (2015). Collective unconscious: how gut microbes shape human behavior.J. Psychiatr. Res.6319. 10.1016/j.jpsychires.2015.02.021

  • 35

    DonthuN.KumarS.MukherjeeD.PandeyN.LimW. M. (2021). How to conduct a bibliometric analysis: an overview and guidelines.J. Bus Res.133285296.

  • 36

    EnaudR.VandenborghtL. E.CoronN.BazinT.PrevelR.SchaeverbekeT.et al (2018). The mycobiome: a neglected component in the microbiota-gut-brain axis.Microorganisms6:22. 10.3390/microorganisms6010022

  • 37

    EvrenselA.CeylanM. E. (2015). The Gut-brain axis: the missing link in depression.Clin. Psychopharmacol. Neurosci.13239244.

  • 38

    FattorussoA.Di GenovaL.Dell’IsolaG. B.MencaroniE.EspositoS. (2019). Autism spectrum disorders and the gut microbiota.Nutrients11:521.

  • 39

    FinegoldS. M.DowdS. E.GontcharovaV.LiuC.HenleyK. E.WolcottR. D.et al (2010). Pyrosequencing study of fecal microflora of autistic and control children.Anaerobe16444453. 10.1016/j.anaerobe.2010.06.008

  • 40

    FinegoldS. M.MolitorisD.SongY. L.LiuC. X.VaisanenM. L.BolteE.et al (2002). Gastrointestinal microflora studies in late-onset autism.Clin. Infect Dis.35S6S16. 10.1086/341914

  • 41

    FungT. C.OlsonC. A.HsiaoE. Y. (2017). Interactions between the microbiota, immune and nervous systems in health and disease.Nat. Neurosci.20145155.

  • 42

    GaciasM.GaspariS.SantosP. M. G.TamburiniS.AndradeM.ZhangF.et al (2016). Microbiota-driven transcriptional changes in prefrontal cortex override genetic differences in social behavior.eLife5:e13442. 10.7554/eLife.13442

  • 43

    GarfieldE. (2006). The history and meaning of the journal impact factor.JAMA2959093.

  • 44

    GershonM. D. (1999). The enteric nervous system: a second brain.Hosp. Pract.34312, 58, 412 passim.

  • 45

    GhaisasS.MaherJ.KanthasamyA. (2016). Gut microbiome in health and disease: linking the microbiome-gut-brain axis and environmental factors in the pathogenesis of systemic and neurodegenerative diseases.Pharmacol. Ther.1585262. 10.1016/j.pharmthera.2015.11.012

  • 46

    GilbertJ. A.BlaserM. J.CaporasoJ. G.JanssonJ. K.LynchS. V.KnightR. (2018). Current understanding of the human microbiome.Nat. Med.24392400.

  • 47

    GolubevaA. V.JoyceS. A.MoloneyG.BurokasA.SherwinE.ArboleyaS.et al (2017). Microbiota-related changes in bile acid & tryptophan metabolism are associated with gastrointestinal dysfunction in a mouse model of autism.Ebiomedicine.24166178.

  • 48

    GrimaldiR.GibsonG. R.VulevicJ.GiallourouN.Castro-MejíaJ. L.HansenL. H.et al (2018). A prebiotic intervention study in children with autism spectrum disorders (ASDs).Microbiome6:133. 10.1186/s40168-018-0523-3

  • 49

    GroerM. W.LucianoA. A.DishawL. J.AshmeadeT. L.MillerE.GilbertJ. A. (2014). Development of the preterm infant gut microbiome: a research priority.Microbiome2:38.

  • 50

    HassanW.DuarteA. E. (2024). Bibliometric analysis: a few suggestions.Curr. Probl. Cardiol.49:102640.

  • 51

    HeJ.GongX.HuB.LinL.LinX.GongW.et al (2023). Altered gut microbiota and short-chain fatty acids in Chinese children with constipated autism spectrum disorder.Sci. Rep.13:19103.

  • 52

    HiippalaK.KainulainenV.KalliomäkiM.ArkkilaP.SatokariR. (2016). Mucosal prevalence and interactions with the epithelium indicate commensalism of Sutterella spp.Front. Microbiol.7:1706. 10.3389/fmicb.2016.01706

  • 53

    HillsR. D.PontefractB. A.MishconH. R.BlackC. A.SuttonS. C.ThebergeC. R. (2019). Gut microbiome: profound implications for diet and disease.Nutrients11:1613.

  • 54

    HobanA. E.StillingR. M.RyanF. J.ShanahanF.DinanT. G.ClaessonM. J.et al (2016). Regulation of prefrontal cortex myelination by the microbiota.Transl. Psychiatry6:e774.

  • 55

    HolmesE.KinrossJ.GibsonG. R.BurcelinR.JiaW.PetterssonS.et al (2012). Therapeutic modulation of microbiota-host metabolic interactions.Sci. Transl. Med.4:137rv6.

  • 56

    HoylesL.SnellingT.UmlaiU. K.NicholsonJ. K.CardingS. R.GlenR. C.et al (2018). Microbiome-host systems interactions: protective effects of propionate upon the blood-brain barrier.Microbiome6:55. 10.1186/s40168-018-0439-y

  • 57

    HsiaoE. Y.McBrideS. W.HsienS.SharonG.HydeE. R.McCueT.et al (2013). Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders.Cell15514511463.

  • 58

    HuangK. Y.WangF. Y.LvM.MaX. X.TangX. D.LvL. (2023). Irritable bowel syndrome: epidemiology, overlap disorders, pathophysiology and treatment.World J. Gastroenterol.2941204135.

  • 59

    HungL. Y.MargolisK. G. (2024). Autism spectrum disorders and the gastrointestinal tract: insights into mechanisms and clinical relevance.Nat. Rev. Gastroenterol. Hepatol.21142163. 10.1038/s41575-023-00857-1

  • 60

    Imperial College London (2024a). Imperial College London, Biological Chemistry. Available online at: https://profiles.imperial.ac.uk/j.nicholson(accessed December 15, 2024).

  • 61

    Imperial College London (2024b). Imperial College London, Chemical Biology. Available online at: https://profiles.imperial.ac.uk/elaine.holmes(accessed December 15, 2024).

  • 62

    Iniguez-GutierrezL.Godinez-MendezL. A.Fafutis-MorrisM.Padilla-ArellanoJ. R.Corona-RiveraA.Bueno-TopeteM. R.et al (2020). Physiological concentrations of short-chain fatty acids induce the formation of neutrophil extracellular traps in vitro.Int. J. Immunopathol. Pharmacol.34:2058738420958949. 10.1177/2058738420958949

  • 63

    IoveneM. R.BombaceF.MarescaR.SaponeA.IardinoP.PicardiA.et al (2017). Intestinal dysbiosis and yeast isolation in stool of subjects with autism spectrum disorders.Mycopathologia182349363.

  • 64

    JangJ. N.DixonD. R.TarboxJ.GranpeeshehD. (2011). Symptom severity and challenging behavior in children with ASD.Res. Autism Spectr. Disord.510281032.

  • 65

    JyonouchiH.SunS. N.ItokazuN. (2002). Innate immunity associated with inflammatory responses and cytokine production against common dietary proteins in patients with autism spectrum disorder.Neuropsychobiology467684. 10.1159/000065416

  • 66

    KangD. W.AdamsJ. B.ColemanD. M.PollardE. L.MaldonadoJ.McDonough-MeansS.et al (2019). Long-term benefit of Microbiota Transfer Therapy on autism symptoms and gut microbiota.Sci. Rep.9:5821. 10.1038/s41598-019-42183-0

  • 67

    KangD. W.AdamsJ. B.GregoryA. C.BorodyT.ChittickL.FasanoA.et al (2017). Microbiota Transfer Therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study.Microbiome5:10.

  • 68

    KangD. W.IlhanZ. E.IsernN. G.HoytD. W.HowsmonD. P.ShafferM.et al (2018). Differences in fecal microbial metabolites and microbiota of children with autism spectrum disorders.Anaerobe49121131.

  • 69

    KangD. W.ParkJ. G.IlhanZ. E.WallstromG.LaBaerJ.AdamsJ. B.et al (2013). Reduced incidence of prevotella and other fermenters in intestinal microflora of autistic children.PLoS One8:e68322. 10.1371/journal.pone.0068322

  • 70

    KhoZ. Y.LalS. K. (2018). The human gut microbiome - a potential controller of wellness and disease.Front. Microbiol.9:1835. 10.3389/fmicb.2018.01835

  • 71

    KimS.KimH.YimY. S.HaS.AtarashiK.TanT. G.et al (2017). Maternal gut bacteria promote neurodevelopmental abnormalities in mouse offspring.Nature549:528532.

  • 72

    KnightR.CallewaertC.MarotzC.HydeE. R.DebeliusJ. W.McDonaldD.et al (2017). The microbiome and human biology.Annu. Rev. Genomics Hum. Genet.186586.

  • 73

    LagodP. P.NaserS. A. (2023). The role of short-chain fatty acids and altered microbiota composition in autism spectrum disorder: a comprehensive literature review.Int. J. Mol. Sci.24:17432. 10.3390/ijms242417432

  • 74

    LandreneauJ. P.WeaverM.DelaneyC. P.AminianA.DimickJ. B.LillemoeK. D.et al (2020). The 100 most cited papers in the history of the American surgical association.Ann. Surg.271663670.

  • 75

    LaPelusaM.DonovielD.BranziniS. E.CarlsonP. E.Jr.CullerS.CheemaA. K.et al (2021). Microbiome for Mars: surveying microbiome connections to healthcare with implications for long-duration human spaceflight, virtual workshop, July 13, 2020.Microbiome9:2. 10.1186/s40168-020-00951-5

  • 76

    LeesH. J.SwannJ. R.WilsonI. D.NicholsonJ. K.HolmesE. (2013). Hippurate: the natural history of a mammalian-microbial cometabolite.J. Proteome Res.1215271546. 10.1021/pr300900b

  • 77

    Lewandowska-PietruszkaZ.FiglerowiczM.Mazur-MelewskaK. (2023). Microbiota in autism spectrum disorder: a systematic review.Int. J. Mol. Sci.24:16660.

  • 78

    LiG.SongB.WangC.TangD.LiK.HeX.et al (2022). Diet, microbe, and autism: cause or consequence?Cell Host Microbe3057.

  • 79

    LiQ. R.HanY.DyA. B. C.HagermanR. J. (2017). The gut microbiota and autism spectrum disorders.Front. Cell Neurosci.11:120. 10.3389/fncel.2017.00120

  • 80

    LiX.HaoX.ChenC.ZhaiC.PanT.ZhouX.et al (2024). Trends and hotspots on the relationship between gut microbiota and Parkinson’s Disease: a bibliometric analysis.Front. Cell Infect. Microbiol.14:1421270. 10.3389/fcimb.2024.1421270

  • 81

    LiuF. T.LiJ.WuF.ZhengH. M.PengQ. L.ZhouH. W. (2019). Altered composition and function of intestinal microbiota in autism spectrum disorders: a systematic review.Transl. Psychiatry9:43.

  • 82

    LiuS. M.LiE. Y.SunZ. Y.FuD. J.DuanG. Q.JiangM. M.et al (2019). Altered gut microbiota and short chain fatty acids in Chinese children with autism spectrum disorder.Sci. Rep.9:287.

  • 83

    LiuX. F.CaoS. Q.ZhangX. W. (2015). Modulation of gut microbiota brain axis by probiotics, prebiotics, and diet.J. Agric. Food Chem.6378857895.

  • 84

    Long-SmithC.O’RiordanK. J.ClarkeG.StantonC.DinanT. G.CryanJ. F. (2020). Microbiota-gut-brain axis: new therapeutic opportunities.Annu. Rev. Pharmacol. Toxicol.60477502.

  • 85

    LuczynskiP.NeufeldK. A. M.OriachC. S.ClarkeG.DinanT. G.CryanJ. F. (2016). Growing up in a bubble: using germ-free animals to assess the influence of the gut microbiota on brain and behavior.Int. J. Neuropsychopharmacol.19:pyw020. 10.1093/ijnp/pyw020

  • 86

    LunaR. A.OezguenN.BalderasM.VenkatachalamA.RungeJ. K.VersalovicJ.et al (2017). Distinct microbiome-neuroimmune signatures correlate with functional abdominal pain in children with autism spectrum disorder.Cell Mol. Gastroenterol. Hepatol.3218230. 10.1016/j.jcmgh.2016.11.008

  • 87

    MaJ.ZhaoK.ZhuY.XuW.HuangJ.WeiX.et al (2023). Bibliometric analysis of monoclonal antibodies for atherosclerosis.Hum. Vaccin. Immunother.19:2266926.

  • 88

    MangiolaF.IaniroG.FranceschiF.FagiuoliS.GasbarriniG.GasbarriniA. (2016). Gut microbiota in autism and mood disorders.World J. Gastroenterol.22361368.

  • 89

    Martin-MartinA.Orduna-MaleaE.DelgadoL.-C. E. (2018). Coverage of highly-cited documents in Google scholar, web of science, and Scopus: a multidisciplinary comparison.Scientometrics11621752188. 10.1007/s11192-020-03690-4

  • 90

    MattaS. M.Hill-YardinE. L.CrackP. J. (2019). The influence of neuroinflammation in Autism Spectrum Disorder.Brain Behav. Immun.797590.

  • 91

    MayerE. A.KnightR.MazmanianS. K.CryanJ. F.TillischK. (2014a). Gut microbes and the brain: paradigm shift in neuroscience.J. Neurosci.341549015496.

  • 92

    MayerE. A.PaduaD.TillischK. (2014b). Altered brain-gut axis in autism: comorbidity or causative mechanisms?Bioessays36933939.

  • 93

    MayerE. A.TillischK.GuptaA. (2015). Gut/brain axis and the microbiota.J. Clin. Invest.125926938.

  • 94

    MazzoneL.DoolingS. W.VolpeE.UljarevicM.WatersJ. L.SabatiniA.et al (2024). Precision microbial intervention improves social behavior but not autism severity: a pilot double-blind randomized placebo-controlled trial.Cell Host Microbe3210616.e6.

  • 95

    MeekingM. M.MacFabeD. F.MephamJ. R.FoleyK. A.TichenoffL. J.BoonF. H.et al (2020). Propionic acid induced behavioural effects of relevance to autism spectrum disorder evaluated in the hole board test with rats.Prog. Neuropsychopharmacol. Biol. Psychiatry97:109794. 10.1016/j.pnpbp.2019.109794

  • 96

    MingX.SteinT. T. P.BarnesV.RhodesN.GuoL. N. (2012). Metabolic perturbance in autism spectrum disorders: a metabolomics study.J. Proteome Res.1158565862.

  • 97

    MoloneyR. D.DesbonnetL.ClarkeG.DinanT. G.CryanJ. F. (2014). The microbiome: stress, health and disease.Mamm. Genome254974.

  • 98

    MoraisL. H.SchreiberH. L.MazmanianS. K. (2021). The gut microbiota-brain axis in behaviour and brain disorders.Nat. Rev. Microbiol.19241255.

  • 99

    MulleJ. G.SharpW. G.CubellsJ. F. (2013). The gut microbiome: a new frontier in autism research.Curr. Psychiatry Rep.15:337.

  • 100

    NewellC.BomhofM. R.ReimerR. A.HittelD. S.RhoJ. M.ShearerJ. (2016). Ketogenic diet modifies the gut microbiota in a murine model of autism spectrum disorder.Mol. Autism7:37. 10.1186/s13229-016-0099-3

  • 101

    NguyenT. L. A.Vieira-SilvaS.ListonA.RaesJ. (2015). How informative is the mouse for human gut microbiota research?Dis. Model. Mech.8116. 10.1242/dmm.017400

  • 102

    NishinoR.MikamiK.TakahashiH.TomonagaS.FuruseM.HiramotoT.et al (2013). Commensal microbiota modulate murine behaviors in a strictly contamination-free environment confirmed by culture-based methods.Neurogastroenterol. Motil.25521528. 10.1111/nmo.12110

  • 103

    OuyangQ.YuH.XuL.YuM.ZhangY. (2024). Relationship between gut microbiota and multiple sclerosis: a scientometric visual analysis from 2010 to 2023.Front. Immunol.15:1451742. 10.3389/fimmu.2024.1451742

  • 104

    ParrachoH.BinghamM. O.GibsonG. R.McCartneyA. L. (2005). Differences between the gut microflora of children with autistic spectrum disorders and that of healthy children.J. Med. Microbiol.54987991.

  • 105

    PärttyA.KalliomäkiM.WacklinP.SalminenS.IsolauriE. (2015). A possible link between early probiotic intervention and the risk of neuropsychiatric disorders later in childhood: a randomized trial.Pediatr. Res.77823828. 10.1038/pr.2015.51

  • 106

    PenzolM. J.Salazar de PabloG.LlorenteC.MorenoC.HernandezP.DoradoM. L.et al (2019). Functional gastrointestinal disease in autism spectrum disorder: a retrospective descriptive study in a clinical sample.Front. Psychiatry10:179. 10.3389/fpsyt.2019.00179

  • 107

    PernaJ.BellatoA.GanapathyP. S.SolmiM.ZampieriA.FaraoneS. V.et al (2023). Association between Autism Spectrum Disorder (ASD) and vision problems. A systematic review and meta-analysis.Mol. Psychiatry.2850115023.

  • 108

    PetraA. I.PanagiotidouS.HatziagelakiE.StewartJ. M.ContiP.TheoharidesT. C. (2015). Gut-microbiota-brain axis and its effect on neuropsychiatric disorders with suspected immune dysregulation.Clin. Ther.37984995. 10.1016/j.clinthera.2015.04.002

  • 109

    PortincasaP.BonfrateL.VaccaM.De AngelisM.FarellaI.LanzaE.et al (2022). Gut microbiota and short chain fatty acids: implications in glucose homeostasis.Int. J. Mol. Sci.23:1105.

  • 110

    PulikkanJ.MajiA.DhakanD. B.SaxenaR.MohanB.AntoM. M.et al (2018). Gut microbial dysbiosis in indian children with autism spectrum disorders.Microb. Ecol.7611021114. 10.1007/s00248-018-1176-2

  • 111

    QuanL.DaiJ.LuoY.WangL.LiuY.MengJ.et al (2024). The 100 top-cited studies in systemic lupus erythematosus: a bibliometric analysis.Hum. Vaccin. Immunother.20:2387461. 10.1080/21645515.2024.2387461

  • 112

    RingJ.CastanovV.McLarenC.HajjarA. E. J.JeschkeM. G. (2020). Scientific impact and clinical influence: identifying landmark studies in burns.J. Burn Care Res.4112401252. 10.1093/jbcr/iraa083

  • 113

    RinninellaE.RaoulP.CintoniM.FranceschiF.MiggianoG. A. D.GasbarriniA.et al (2019). What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases.Microorganisms7:14. 10.3390/microorganisms7010014

  • 114

    RiviereA.SelakM.LantinD.LeroyF.De VuystL. (2016). Bifidobacteria and butyrate-producing colon bacteria: importance and strategies for their stimulation in the human gut.Front. microbiol.7:979. 10.3389/fmicb.2016.00979

  • 115

    RoggeN.JanssenJ. (2019). The economic costs of autism spectrum disorder: a literature review.J. Autism Dev. Disord.4928732900.

  • 116

    SampsonT. R.MazmanianS. K. (2015). Control of brain development Function, and Behavior by the Microbiome.Cell Host Microbe17565576.

  • 117

    SandlerR. H.FinegoldS. M.BolteE. R.BuchananC. P.MaxwellA. P.VäisänenM. L.et al (2000). Short-term benefit from oral vancomycin treatment of regressive-onset autism.J. Child Neurol.15429435. 10.1177/088307380001500701

  • 118

    SchmallenbachL.BarnighausenT. W.LerchenmuellerM. J. (2024). The global geography of artificial intelligence in life science research.Nat. Commun.15:7527.

  • 119

    SchonfeldP.WojtczakL. (2016). Short- and medium-chain fatty acids in energy metabolism: the cellular perspective.J. Lipid Res.57943954. 10.1194/jlr.R067629

  • 120

    SgrittaM.DoolingS. W.BuffingtonS. A.MominE. N.FrancisM. B.BrittonR. A.et al (2019). Mechanisms underlying microbial-mediated changes in social behavior in mouse models of autism spectrum disorder.Neuron101:246259.e6. 10.1016/j.neuron.2018.11.018

  • 121

    SharonG.CruzN. J.KangD. W.GandalM. J.WangB.KimY. M.et al (2019). Human gut microbiota from autism spectrum disorder promote behavioral symptoms in mice.Cell177160018.e17. 10.1016/j.cell.2019.05.004

  • 122

    SharonG.SampsonT. R.GeschwindD. H.MazmanianS. K. (2016). The central nervous system and the gut microbiome.Cell.167915932.

  • 123

    SherwinE.BordensteinS. R.QuinnJ. L.DinanT. G.CryanJ. F. (2019). Microbiota and the social brain.Science366:587.

  • 124

    SherwinE.DinanT. G.CryanJ. F. (2018). Recent developments in understanding the role of the gut microbiota in brain health and disease.Ann. N. Y. Acad. Sci.1420525. 10.1111/nyas.13416

  • 125

    SherwinE.SandhuK. V.DinanT. G.CryanJ. F. (2016). May the force be with you: the light and dark sides of the microbiota-gut-brain axis in neuropsychiatry.CNS Drugs3010191041. 10.1007/s40263-016-0370-3

  • 126

    SongY. L.LiuC. X.FinegoldS. A. (2004). Real-time PCR quantitation of clostridia in Feces of autistic children.Appl. Environ. Microbiol.7064596465.

  • 127

    SpielmanL. J.GibsonD. L.KlegerisA. (2018). Unhealthy gut, unhealthy brain: the role of the intestinal microbiota in neurodegenerative diseases.Neurochem. Int.120149163.

  • 128

    SrikanthaP.MohajeriM. H. (2019). The possible role of the microbiota-gut-brain-axis in autism spectrum disorder.Int. J. Mol. Sci.20:2115.

  • 129

    StillingR. M.DinanT. G.CryanJ. F. (2014). Microbial genes, brain & behaviour - epigenetic regulation of the gut-brain axis.Genes Brain Behav.136986.

  • 130

    StratiF.CavalieriD.AlbaneseD.De FeliceC.DonatiC.HayekJ.et al (2017). New evidences on the altered gut microbiota in autism spectrum disorders.Microbiome5:24.

  • 131

    Swiss Institute of Allergy and Asthma Research (2024). Immunology. Available online at: https://www.siaf.uzh.ch/immunology.html&(accessed December 15, 2024).

  • 132

    TomaszewskiR. (2023). Visibility, impact, and applications of bibliometric software tools through citation analysis.Scientometrics12840074028. 10.1007/s11192-023-04725-2

  • 133

    TomovaA.HusarovaV.LakatosovaS.BakosJ.VlkovaB.BabinskaK.et al (2015). Gastrointestinal microbiota in children with autism in Slovakia.Physiol. Behav.138179187.

  • 134

    UCLA Brain Research Institute (2024). Available online at: https://bri.ucla.edu/people/emeran-mayer/(accessed December 15, 2024).

  • 135

    UCLA Health (2024). Available online at: https://www.uclahealth.org/providers/kirsten-tillisch(accessed December 15, 2024).

  • 136

    University College Cork (2024). Available online at: https://research.ucc.ie/profiles/2001/t.dinan@ucc.ie#section1(accessed December 15, 2024).

  • 137

    VendrikK. E. W.OoijevaarR. E.de JongP. R. C.LamanJ. D.van OostenB. W.van HiltenJ. J.et al (2020). Fecal microbiota transplantation in neurological disorders.Front. Cell Infect.10:98. 10.3389/fcimb.2020.00098

  • 138

    VohraR.MadhavanS.SambamoorthiU. (2017). Comorbidity prevalence, healthcare utilization, and expenditures of Medicaid enrolled adults with autism spectrum disorders.Autism219951009. 10.1177/1362361316665222

  • 139

    VuongH. E.HsiaoE. Y. (2017). Emerging roles for the gut microbiome in autism spectrum disorder.Biol. Psychiatry81411423.

  • 140

    VuongH. E.YanoJ. M.FungT. C.HsiaoE. Y. (2017). The microbiome and host behavior.Annu. Rev. Neurosci.402149.

  • 141

    WanQ.LiuK.WangX.LuoS.YuanX.WangC.et al (2022). The top 100 most cited papers in insomnia: a bibliometric analysis.Front. Psychiatry13:1040807. 10.3389/fpsyt.2022.1040807

  • 142

    WangA.ZhaoJ.QinY.ZhangY.XingY.WangY.et al (2023). Alterations of the gut microbiota in the lupus nephritis: a systematic review.Ren Fail.45:2285877. 10.1080/0886022X.2023.2285877

  • 143

    WangH. Y.LeeI. S.BraunC.EnckP. (2016). Effect of probiotics on central nervous system functions in animals and humans: a systematic review.J. Neurogastroenterol. Motil.22589605.

  • 144

    WangL.ChristophersenC. T.SorichM. J.GerberJ. P.AngleyM. T.ConlonM. A. (2011). Low Relative abundances of the mucolytic bacterium Akkermansia muciniphila and Bifidobacterium spp. in feces of children with autism.Appl. Environ. Microbiol.7767186721. 10.1128/AEM.05212-11

  • 145

    WangL.ChristophersenC. T.SorichM. J.GerberJ. P.AngleyM. T.ConlonM. A. (2013). Increased abundance of Sutterella spp. and Ruminococcus torques in feces of children with autism spectrum disorder.Mol. Autism4:42. 10.1186/2040-2392-4-42

  • 146

    WangL.ChristophersenC. T.SorichM. J.GerberJ. P.AngleyM. T.ConlonM. A. (2012). Elevated fecal short chain fatty acid and ammonia concentrations in children with autism spectrum disorder.Dig. Dis. Sci.5720962102. 10.1007/s10620-012-2167-7

  • 147

    WangM.ZhangZ.LiuY.JianE.YeP.JiangH.et al (2024). Research trends between childhood obesity and gut microbiota: a bibliometric analysis (2002-2023).Front. Microbiol.15:1461306. 10.3389/fmicb.2024.1461306

  • 148

    WangQ.YangQ.LiuX. (2023). The microbiota-gut-brain axis and neurodevelopmental disorders.Protein Cell14762775.

  • 149

    WangR.HuangS.WangP.ShiX.LiS.YeY.et al (2024). Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023.Cancer Imaging24:85. 10.1186/s40644-024-00737-0

  • 150

    WangY.KasperL. H. (2014). The role of microbiome in central nervous system disorders.Brain Behav. Immun.38112.

  • 151

    WilliamsB. L.HornigM.BuieT.BaumanM. L.PaikM. C.WickI.et al (2011). Impaired carbohydrate digestion and transport and mucosal dysbiosis in the intestines of children with autism and gastrointestinal disturbances.PLoS One6:e24585. 10.1371/journal.pone.0024585

  • 152

    WilliamsB. L.HornigM.ParekhT.LipkinW. I. (2012). Application of novel PCR-based methods for detection, quantitation, and phylogenetic characterization of Sutterella species in intestinal biopsy samples from children with autism and gastrointestinal disturbances.Mbio3::e0026111. 10.1128/mBio.00261-11

  • 153

    YadegarA.Bar-YosephH.MonaghanT. M.PakpourS.SeverinoA.KuijperE. J.et al (2024). Fecal microbiota transplantation: current challenges and future landscapes.Clin. Microbiol. Rev.37:e0006022. 10.1128/cmr.00060-22

  • 154

    YangC.LinX.WangX.LiuH.HuangJ.WangS. (2022). The schizophrenia and gut microbiota: a bibliometric and visual analysis.Front. Psychiatry13:1022472. 10.3389/fpsyt.2022.1022472

  • 155

    YapI. K. S.AngleyM.VeselkovK. A.HolmesE.LindonJ. C.NicholsonJ. K. (2010). Urinary metabolic phenotyping differentiates children with autism from their unaffected siblings and age-matched controls.J. Proteome Res.929963004. 10.1021/pr901188e

  • 156

    YingJ.TanG. M. Y.ZhangM. W. (2022). Intellectual disability and COVID-19: a bibliometric review.Front. Psychiatry.13:1052929. 10.3389/fpsyt.2022.1052929

  • 157

    ZeidanJ.FombonneE.ScorahJ.IbrahimA.DurkinM. S.SaxenaS.et al (2022). Global prevalence of autism: a systematic review update.Autism Res.15778790.

  • 158

    ZhangM.MaW.ZhangJ.HeY.WangJ. (2018). Analysis of gut microbiota profiles and microbe-disease associations in children with autism spectrum disorders in China.Sci. Rep.8:13981. 10.1038/s41598-018-32219-2

  • 159

    ZhangY. J.LiS.GanR. Y.ZhouT.XuD. P.LiH. B. (2015). Impacts of gut bacteria on human health and diseases.Int. J. Mol. Sci.1674937519.

  • 160

    ZhuS. B.JiangY. F.XuK. L.CuiM.YeW. M.ZhaoG. M.et al (2020). The progress of gut microbiome research related to brain disorders.J. Neuroinflamm.17:25.

Summary

Keywords

bibliometric analysis, autism, gut microbiota, research trends, citations

Citation

Ying J, Zhang MW, Wei K-C, Wong SH and Subramaniam M (2025) Influential articles in autism and gut microbiota: bibliometric profile and research trends. Front. Microbiol. 15:1401597. doi: 10.3389/fmicb.2024.1401597

Received

16 April 2024

Accepted

27 December 2024

Published

09 January 2025

Volume

15 - 2024

Edited by

Yu Wang, China Academy of Chinese Medical Sciences, China

Reviewed by

Bikash Sahay, University of Florida, United States

Jelena Djokic, University of Belgrade, Serbia

Updates

Copyright

*Correspondence: Sunny H. Wong, Mythily Subramaniam,

†These authors have contributed equally to this work and share senior 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.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics