Implication of the gut microbiome composition of type 2 diabetic patients from northern China

Study information

Reviewed Marked as Reviewed by Atrayees on 2023-7-6

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

32214153

DOI Digital object identifier for electronic documents.

10.1038/s41598-020-62224-3

URI

https://pubmed.ncbi.nlm.nih.gov/32214153/

Authors

Li Q, Chang Y, Zhang K, Chen H, Tao S, Zhang Z

Journal

Scientific reports

Year

2020

Emerging evidence has suggested the association of the gut microbiome with some human diseases, including type 2 diabetes (T2D). In this study, we analyzed the gut microbiota from a cohort of healthy and diabetic Chinese individuals from Northern China. Pyrosequencing of the V4V5 region of 16S rRNA genes revealed a significant decrease in the gut microbiota diversity of diabetic patients as compared to healthy individuals. Butyrate-producing bacteria such as Bifidobacterium and Akkermansia were significantly decreased in diabetic patients. Furthermore, the abundance of Dorea was significantly increased in T2D individuals and negatively correlated with the abundance of butyrate-producing bacteria. The increase of Dorea could play a role in the development of T2D and has been previously overlooked. Importantly, functional analysis of the gut microbiome revealed for the first time that increased levels of butyrate production via transferases and the degradation of several amino acids due to gut microbial metabolism have strong correlations with T2D in Northern China. Moreover, the potential of gut microbiota-based classifiers to identify individuals with a high risk for T2D has been demonstrated in this study. Taken together, our findings have revealed a previously unappreciated association of the gut microbiome with T2D and have also suggested that changes in gut microbiota may be used to identify individuals at high risk for T2D.

Experiment 1

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Reviewed Marked as Reviewed by Atrayees on 2023-7-6

Curated date: 2021/07/05

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, WikiWorks, Atrayees

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Healthy controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: Individuals diagnosed with Type 2 Diabetes Mellitus

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Individuals diagnosed with Type 2 Diabetes Mellitus; T2D subjects were required to meet the following inclusion criteria: (i) fasting blood glucose test (FBG) 7 mmol/L or greater and/or 2-h fasting oral glucose tolerance test (OGTT) 11.1 mmol/L or greater35; (ii) no previously received pharmacologic treatment; and (iii) body mass index (BMI) > 18.0 kg/m2.

Group 0 sample size Number of subjects in the control (unexposed) group: 40

Group 1 sample size Number of subjects in the case (exposed) group: 20

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 2 months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4-V5

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: T-Test

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Chao1 Abundance-based estimator of species richness: decreased

Simpson Estimator of species richness and species evenness: more weight on species evenness: unchanged

Signature 1

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Curated date: 2021/07/05

Curator: Madhubani Dey

Revision editor(s): Madhubani Dey, Atrayees, WikiWorks

Source: Figure 2b

Description: Decreased abundance of bacterial communities in individuals with Type 2 Diabetes compared to healthy controls

Abundance in Group 1: decreased abundance in Individuals diagnosed with Type 2 Diabetes Mellitus

NCBI	Quality Control	Links
Akkermansia
Bifidobacterium
Parabacteroides
Faecalibacterium

Revision editor(s): Madhubani Dey, Atrayees, WikiWorks

Signature 2

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Your review change was submitted

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Curated date: 2021/07/05

Curator: Madhubani Dey

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Source: Figure 2b

Description: Increased abundance of bacterial communities in individuals with Type 2 Diabetes compared to healthy controls

Abundance in Group 1: increased abundance in Individuals diagnosed with Type 2 Diabetes Mellitus

NCBI	Quality Control	Links
Dorea
Fusobacterium
Bacillota
Streptococcus

Revision editor(s): Madhubani Dey, WikiWorks