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Cited by 946Gut microbiota and healthOral microbiology and periodontitis researchAdipokines, Inflammation, and Metabolic Diseases

Human Gut Microbiota Changes Reveal the Progression of Glucose Intolerance

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Zhang, Xiuying, Shen, Dongqian, Fang, Zhiwei, Jie, Zhuye, Qiu, Xinmin, Zhang, Chunfang, Chen, Yingli, Ji, Linong·2013·PLoS ONE
DOI 10.1371/journal.pone.0071108PMC PMC3754967
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Abstract

To explore the relationship of gut microbiota with the development of type 2 diabetes (T2DM), we analyzed 121 subjects who were divided into 3 groups based on their glucose intolerance status: normal glucose tolerance (NGT; n = 44), prediabetes (Pre-DM; n = 64), or newly diagnosed T2DM (n = 13). Gut microbiota characterizations were determined with 16S rDNA-based high-throughput sequencing. T2DM-related dysbiosis was observed, including the separation of microbial communities and a change of alpha diversity between the different glucose intolerance statuses. To assess the correlation between metabolic parameters and microbiota diversity, clinical characteristics were also measured and a significant association between metabolic parameters (FPG, CRP) and gut microbiota was found. In addition, a total of 28 operational taxonomic units (OTUs) were found to be related to T2DM status by the Kruskal-Wallis H test, most of which were enriched in the T2DM group. Butyrate-producing bacteria (e.g. Akkermansia muciniphila ATCCBAA-835, and Faecalibacterium prausnitzii L2-6) had a higher abundance in the NGT group than in the pre-DM group. At genus level, the abundance of Bacteroides in the T2DM group was only half that of the NGT and Pre-DM groups. Previously reported T2DM-related markers were also compared with the data in this study, and some inconsistencies were noted. We found that Verrucomicrobiae may be a potential marker of T2DM as it had a significantly lower abundance in both the pre-DM and T2DM groups. In conclusion, this research provides further evidence of the structural modulation of gut microbiota in the pathogenesis of diabetes.

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  • The composition of the gut microbiota is altered in animal models of obesity and subjects with prediabetes or type 2 diabetes compared with controls.

    “Compelling evidence have shown that the composition of the gut microbiota is altered in animal models of obesity and subjects with prediabetes or type 2 diabetes compared with controls (182–186).”

    From The Role of Short-Chain Fatty Acids From Gut Microbiota in Gut-Brain Communication (2020) · cites this paper as [186]

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Authors
Zhang, X., Shen, D., Fang, Z., Jie, Z., Qiu, X., Zhang, C., Chen, Y., & Ji, L.
Affiliations
  • Peking University People's Hospital (CN)
  • BGI Group (China) (CN)
Corresponding author
Ji, Linong
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2013-08-27
Volume
8
Issue
8
Pages
e71108
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0071108
PMC
PMC3754967
OpenAlex
W1966921473
Cited by
946
References
63
Citations by year
2026: 43 · 2025: 67 · 2024: 92 · 2023: 94 · 2022: 112 · 2021: 148 · 2020: 107 · 2019: 76 · 2018: 64 · 2017: 45 · 2016: 45 · 2015: 31 · 2014: 19 · 2013: 1 · 2012: 1
FWCI
14.34
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
Keywords
gut microbiota, type 2 diabetes, impaired glucose tolerance, prediabetes, dysbiosis, microbial diversity, Akkermansia muciniphila, Faecalibacterium prausnitzii, Bacteroides, Verrucomicrobia, fasting blood glucose, C-reactive protein, microbial biomarkers
MeSH terms
Analysis of Variance, Bacteroides, Diabetes Mellitus, Type 2, Genes, Bacterial, Humans, Middle Aged, Phylogeny, Prediabetic State, RNA, Ribosomal, 16S, Glucose Intolerance, Disease Progression, Principal Component Analysis, Gastrointestinal Tract, Molecular Typing, Verrucomicrobia, Microbiota

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