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Reduced Incidence of Prevotella and Other Fermenters in Intestinal Microflora of Autistic Children
Open accessAbstract
High proportions of autistic children suffer from gastrointestinal (GI) disorders, implying a link between autism and abnormalities in gut microbial functions. Increasing evidence from recent high-throughput sequencing analyses indicates that disturbances in composition and diversity of gut microbiome are associated with various disease conditions. However, microbiome-level studies on autism are limited and mostly focused on pathogenic bacteria. Therefore, here we aimed to define systemic changes in gut microbiome associated with autism and autism-related GI problems. We recruited 20 neurotypical and 20 autistic children accompanied by a survey of both autistic severity and GI symptoms. By pyrosequencing the V2/V3 regions in bacterial 16S rDNA from fecal DNA samples, we compared gut microbiomes of GI symptom-free neurotypical children with those of autistic children mostly presenting GI symptoms. Unexpectedly, the presence of autistic symptoms, rather than the severity of GI symptoms, was associated with less diverse gut microbiomes. Further, rigorous statistical tests with multiple testing corrections showed significantly lower abundances of the genera Prevotella, Coprococcus, and unclassified Veillonellaceae in autistic samples. These are intriguingly versatile carbohydrate-degrading and/or fermenting bacteria, suggesting a potential influence of unusual diet patterns observed in autistic children. However, multivariate analyses showed that autism-related changes in both overall diversity and individual genus abundances were correlated with the presence of autistic symptoms but not with their diet patterns. Taken together, autism and accompanying GI symptoms were characterized by distinct and less diverse gut microbial compositions with lower levels of Prevotella, Coprococcus, and unclassified Veillonellaceae.
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In the citing paper
“Stool-based microbiome characterization in several cohorts identified specific genera that differed in ASD vs control subjects, but most previous studies conducted their analysis at higher taxonomic levels, with little published data at the genus or species (ie, OTU) level.22, 25, 26, 27”
From Distinct Microbiome-Neuroimmune Signatures Correlate With Functional Abdominal Pain in Children With Autism Spectrum Disorder (2017) · cites this paper as [25]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Cross-sectional studies comparing the gut microbiota composition between healthy and ASD individuals have revealed an altered microbiota profile in patients with ASD, with several studies reporting increased levels of Clostridium and Lactobacillus along with elevated levels of SCFAs, including propionic and butyric acid (Wang et al., 2012, 2013; De Angelis et al., 2013; Kang et al., 2013).”
From Microbiome–microglia connections via the gut–brain axis (2019) · cites this paper as Kang et al., 2013
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In the case of impaired BBB, which can be observed in certain (but not all) autistic subjects [37,254], LPS or SCFAs may cause brain inflammation and thus, further facilitate access to the brain for harmful substances, like heavy metals, that can accumulate there [228,246,255].”
From The Role of Microbiota-Gut-Brain Axis in Neuropsychiatric and Neurological Disorders (2021) · cites this paper as [228]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In two studies of Kang et al. (Figs. 2b, c)19,22, the pathways of “Cell Motility”, “Cellular Processes” and “Bacterial motility proteins” had consistent significant discriminative power in HCs. In addition, “Bacterial chemotaxis” and “Flagellar assembly” were also noted.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
Experimental — accuracy not yet measuredIn the citing paper
“Nevertheless, reduced bacterial diversity and increased biomass were reported in individuals with ASD [228,230].”
From The Role of Microbiota-Gut-Brain Axis in Neuropsychiatric and Neurological Disorders (2021) · cites this paper as [228]
In the citing paper
“The most important may be reduced amounts of Prevotella, Corprococcus, and Veilonellaceae (participating in carbohydrate ingestion and fermentation), Bacteroidetes, Actinobacteria, Proteobacteria [228]”
From The Role of Microbiota-Gut-Brain Axis in Neuropsychiatric and Neurological Disorders (2021) · cites this paper as [228]
In the citing paper
“The last three studies indicated decreases; however, the studies came from one laboratory [39–41].”
From Gut microbiota changes in children with autism spectrum disorder: a systematic review (2020) · cites this paper as [39]
In the citing paper
“Instead, these seven studies showed either a non-significant result in relative abundance [41, 48, 50, 52] or a lower relative abundance in children classified as ASD versus SIB or HC [31, 39, 42].”
From Gut microbiota changes in children with autism spectrum disorder: a systematic review (2020) · cites this paper as [39]
In the citing paper
“No specific findings were identified in the Verrucomicrobia phylum [31, 33, 36, 39, 48] and in the Verrucomicrobiaceae family [31, 37, 39, 41, 52].”
From Gut microbiota changes in children with autism spectrum disorder: a systematic review (2020) · cites this paper as [39]
In the citing paper
“This study did not replicate previously reported differences in the relative abundances of bacterial categories, including the Bacteroidetes phylum [12–14], the Sutterella genus [7,8,10] and the Prevotella genus [11] between ASD and unrelated control children.”
From Comparison of Fecal Microbiota in Children with Autism Spectrum Disorders and Neurotypical Siblings in the Simons Simplex Collection (2015) · cites this paper as [11]
In the citing paper
“Of note, previous studies [6–8,12,14], with the exception of one study [13], failed to detect differences in microbial composition between ASD and NT siblings [11].”
From Comparison of Fecal Microbiota in Children with Autism Spectrum Disorders and Neurotypical Siblings in the Simons Simplex Collection (2015) · cites this paper as [11]
In the citing paper
“Stool-based microbiome characterization in several cohorts identified specific genera that differed in ASD vs control subjects, but most previous studies conducted their analysis at higher taxonomic levels, with little published data at the genus or species (ie, OTU) level.22, 25, 26, 27”
From Distinct Microbiome-Neuroimmune Signatures Correlate With Functional Abdominal Pain in Children With Autism Spectrum Disorder (2017) · cites this paper as [25]
In the citing paper
“Indeed, some studies have revealed significant reductions in the relative abundance of Prevotella, Coprococcus, Enterococcus, Lactobacillus, Streptococcus, Lactococcus, Staphylococcus, Ruminococcus, and Bifidobacterium species in children with ASD compared with healthy controls [36,128,143].”
From Autism, Gastrointestinal Symptoms and Modulation of Gut Microbiota by Nutritional Interventions (2019) · cites this paper as [143]
In the citing paper
“Several studies on ASD have showed changes in the composition of the microbiota, particularly in the relative abundance of the mains gut bacterial phyla [36,37,143,144].”
From Autism, Gastrointestinal Symptoms and Modulation of Gut Microbiota by Nutritional Interventions (2019) · cites this paper as [143]
In the citing paper
“In the scientific literature, some studies highlight a higher abundance of Clostridia and Desulfovibrio bacteria and a lower ratio of Bacteroidetes to Firmicutes in ASD [37,39,143,145].”
From Autism, Gastrointestinal Symptoms and Modulation of Gut Microbiota by Nutritional Interventions (2019) · cites this paper as [143]
In the citing paper
“Others studies observed, in ASD children, high abundance of: Akkermansia muciniphilia, [36,143,148] Desulfovibrio, [37] and Faecalibacterium prausnitzii [36].”
From Autism, Gastrointestinal Symptoms and Modulation of Gut Microbiota by Nutritional Interventions (2019) · cites this paper as [143]
In the citing paper
“Of the nine studies compared α-diversity, three studies demonstrated that α-diversity has a significant reduction in ASD patients16,19,22.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“Two sequencing studies reported that the abundance of Akkermansia was elevated in ASD patients22,23. Inconsistently, one qPCR study30 indicated that lower amount of Akkermansia muciniphila was found in feces of ASD patients than HCs.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“Among them, three studies18,19,22 indicated the functional modules of gut microbiota in ASD patients were substantially different from that in HCs (Fig. 2).”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“It should be noted that pathways of “Huntingtons disease” and “Amyotrophic lateral sclerosis (ALS)” under Neurodegenerative Diseases category as well as “Glutamatergic synapse” under Nervous System category were also increased in ASD patients.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“In ASD patients, the functional modules of metabolism were higher than that in HCs, such as “Oxidative phosphorylation” under Energy Metabolism category and “Glycine, serine and threonine metabolism” under Amino Acid Metabolism.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“Whereas, in ASD patients, the most enhanced functional module of microbiota was metabolism, including amino acid metabolism, lipid metabolism, carbohydrate metabolism, energy metabolism, cofactors and vitamins metabolism and tetracycline biosynthesis.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“Akkermansia and Ruminococcus are mucin-degrading bacterium and associated with the gut permeability59,60.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [59]
In the citing paper
“Moreover, some functional modules involved in neurodegenerative diseases in human, such as Huntington disease and ALS were also raised in ASD patients.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“Functions of xenobiotics degradation such as toluene, aminobenzoate, polycyclic aromatic hydrocarbon, and bisphenol were also enhanced.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“In two accordant studies19,22, functional modules of microbiota in HCs mostly involved in cell motility, cellular processes, bacterial motility proteins, bacterial chemotaxis, and flagellar assembly, which indicated the basic physiological maintenance under normal condition.”
From Altered composition and function of intestinal microbiota in autism spectrum disorders: A systematic review (2019) · cites this paper as [22]
In the citing paper
“In addition, GI microbial dysbiosis, an imbalance in the organisms that make up the gut microbiota, has been documented in multiple studies of children with ASD [5, 7–14].”
From Pilot study of probiotic/colostrum supplementation on gut function in children with autism and gastrointestinal symptoms (2019) · cites this paper as [13]
In the citing paper
“However, other studies have shown that Akkermansia levels are higher in children with ASD compared to typically developing children, although species-level composition was not examined [13].”
From Pilot study of probiotic/colostrum supplementation on gut function in children with autism and gastrointestinal symptoms (2019) · cites this paper as [13]
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Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
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Arnold, W., Hill, E. S., Fei, N., Yee, A. L., Garcia, M. S., Cralle, L. E., & Gilbert, J. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-96830-8_39 · Cited by 14
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Faruqui, N. A., Prium, D. H., Mowna, S. A., Ullah, M. A., Araf, Y., Sarkar, B., Zohora, U. S., & Rahman, M. S. (2021) · Future Neurology · doi:10.2217/fnl-2020-0026 · Cited by 15
Chen, H., Li, L., Yu, F., & Ma, Z. S. (2024) · FEMS Microbiology Letters · doi:10.1093/femsle/fnae014 · Cited by 13
Bhusri, B., Sutheeworapong, S., Kittichotirat, W., Kusonmano, K., Thammarongtham, C., Lertampaiporn, S., Prommeenate, P., Praphanphoj, V., Kittitharaphan, W., Dulsawat, S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-86740-2 · Cited by 13
Cureau, N., Aljahdali, N. H., Vo, N., & Carbonero, F. G. (2016) · Epigenomics · doi:10.2217/epi-2016-0057 · Cited by 13
Nafady, M. H., Sayed, Z. S., Abdelkawy, D. A., Shebl, M. E., Elsayed, R. A., Ashraf, G. M., Perveen, A., Attia, M. S., & Bahbah, E. I. (2022) · Current Alzheimer Research · doi:10.2174/1567205019666220419101205 · Cited by 13
Radulescu, C. I., Garcia‐Miralles, M., Sidik, H., Bardile, C. F., Yusof, N. A. B. M., Lee, H. U., Ho, E. X. P., Chu, C. W., Layton, E., Low, D., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104744 · Cited by 13
Boschetti, E., Neri, I., Follo, M. Y., GIORGIO, R. D., Cocco, L., Manzoli, L., & Ratti, S. (2022) · Mini-Reviews in Medicinal Chemistry · doi:10.2174/1389557522666220622111501 · Cited by 13
Lin, X., Zhou, R., Liang, D., Xia, L., Zeng, L., & Chen, X. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.976827 · Cited by 13
Jaskiw, G. E., Obrenovich, M. E., & Donskey, C. J. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05267-3 · Cited by 13
Zhang, Y., Hu, N., Cai, Q., Zhang, F., Jun, Z. O. U., Liu, Y., Wei, D., Zhu, Q., Chen, K., Zeng, L., et al. (2020) · Bioscience of Microbiota Food and Health · doi:10.12938/bmfh.2019-032 · Cited by 13
Banerjee, A., Pradhan, L. K., Sahoo, P. K., Jena, K. K., Chauhan, N. R., Chauhan, S., & Das, S. K. (2021) · Archives of Microbiology · doi:10.1007/s00203-021-02276-9 · Cited by 13
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Coccurello, R., Marrone, M. C., & Maccarrone, M. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.869606 · Cited by 12
Calcaterra, V., Mameli, C., Rossi, V., Magenes, V. C., Massini, G., Perazzi, C., Verduci, E., & Zuccotti, G. (2022) · Minerva Pediatrics · doi:10.23736/s2724-5276.22.06873-2 · Cited by 12
Zarezadeh, M., Mahmoudinezhad, M., Hosseini, B., Khorraminezhad, L., Razaghi, M., Alvandi, E., & Saedisomeolia, A. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.06.014 · Cited by 12
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Vella, V. R., Ainsworth-Cruickshank, G., Luft, C., Wong, K. E., Parfrey, L. W., Vogl, A. W., Holman, P. J., Bodnar, T. S., & Raineki, C. (2025) · Neurochemistry International · doi:10.1016/j.neuint.2025.105952 · Cited by 11
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Temiz, M., Bakır-Güngör, B., Ersöz, N. Ş., & Yousef, M. (2025) · Applied Sciences · doi:10.3390/app15169214 · Cited by 11
Zhang, D., Zhou, M., Qiu, Y., Xu, H., Liu, H., Liu, Y., & Xie, L. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1642240 · Cited by 11
Li, K., Hu, Z., Ou, J., & Xia, K. (2019) · Global Clinical and Translational Research · doi:10.36316/gcatr.01.0006 · Cited by 11
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Eapen, V., Nicholls, L. E., Spagnol, V., & Mathew, N. E. (2017) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2017.07.025 · Cited by 11
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Borrego-Ruiz, A., & Borrego, J. J. (2025) · Children · doi:10.3390/children12081063 · Cited by 10
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Su, B.-W., Li, Y., Yang, L.-Y., Yang, H., Wang, W., Ren, H., Bao, Y.-N., Lao, J.-Y., & Luan, Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1711756 · Cited by 11
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Sapp, J. (2016) · Evolutionary Biology · doi:10.1007/s11692-016-9378-3 · Cited by 10
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Han, W., Wang, M., & Ye, Y. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-56970-3_2 · Cited by 10
Compart, P. J. (2013) · Global Advances in Health and Medicine · doi:10.7453/gahmj.2013.092 · Cited by 10
Zhang, F., Yang, X., Jiang, Y., Mao, X., Liu, H., Yang, Y., Chen, J., Chen, Z., Li, H., Zhang, X., et al. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1331130 · Cited by 9
Sabatini, G., Boccadoro, I., Prete, R., Battista, N., & Corsetti, A. (2025) · Nutrients · doi:10.3390/nu17152470 · Cited by 9
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Goux, H. J., Chavan, D., Crum, M., Kourentzi, K. D., & Willson, R. C. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00237 · Cited by 9
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Severance, E. G., & Yolken, R. H. (2015) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-800981-9.00029-8 · Cited by 8
(2019) · Global Clinical and Translational Research · doi:10.20900/gctr20190004 · Cited by 8
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Tataru, C. A., Martin, A., Dunlap, K., Peras, M., Chrisman, B., Rutherford, E. M., Deitzler, G. E., Phillips, A., Yin, X., Sabino, K., et al. (2021) · ISME Communications · doi:10.1038/s43705-021-00080-6 · Cited by 8
Tartaglione, A. M., Pazienza, V., Calamandrei, G., & Ricceri, L. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105105 · Cited by 8
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Kim, M., Chung, S., Yang, J.-C., Park, J., Nam, S. H., & Park, T. W. (2020) · Journal of korean Academy of Child and Adolescent Psychiatry · doi:10.5765/jkacap.200013 · Cited by 7
Self-citationBlagonravova, A. S., Zhilyaeva, T. V., & Kvashnina, D. V. (2021) · Journal of microbiology epidemiology immunobiology · doi:10.36233/0372-9311-62 · Cited by 7
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Scala, M., González-Soltero, R., Esteban, Á., Fernández, J. M. B., Romero‐Ferreiro, V., Serretti, A., Fanelli, G., & Jimenez, R. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111288 · Cited by 6
Faysal, M. F., Zehravi, M., Amin, M. A., Rab, S. O., Jahnavi, P., Arjun, U. V. N. V., Gupta, J. K., Billah, A. A. M., Vodeti, R., Prasad, P. D., et al. (2025) · Pathology - Research and Practice · doi:10.1016/j.prp.2025.156090 · Cited by 6
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Metadata
- Authors
- Kang, D.-W., Park, J. G., Ilhan, Z. E., Wallstrom, G., LaBaer, J., Adams, J. B., & Krajmalnik-Brown, R.
- Affiliations
- Arizona State University (US)
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-07-03
- Volume
- 8
- Issue
- 7
- Pages
- e68322
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3700858
- OpenAlex
- W2149756110
- Cited by
- 976
- References
- 71
- Citations by year
- 2026: 36 · 2025: 75 · 2024: 65 · 2023: 94 · 2022: 83 · 2021: 114 · 2020: 85 · 2019: 100 · 2018: 94 · 2017: 53 · 2016: 74 · 2015: 49 · 2014: 39 · 2013: 14
- FWCI
- 26.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Arizona State University Library Digital Repository (Arizona State University) (submittedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Autism Research Institute
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- autism spectrum disorder, gut microbiota, gastrointestinal symptoms, Prevotella, Coprococcus, Veillonellaceae, microbial diversity, autism severity, diet patterns, fecal microbiota, children
- MeSH terms
- Adolescent, Autistic Disorder, Child, Child, Preschool, Female, Gastrointestinal Diseases, Humans, Male, Phylogeny, ROC Curve, Incidence, Cluster Analysis, Bacteroidaceae Infections, Prevotella, Gastrointestinal Tract, Biodiversity, Metagenome, Microbiota
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