Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China

Study information

Reviewed Marked as Reviewed by Svetlana up on 2025-4-14

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

37060052

DOI Digital object identifier for electronic documents.

10.1186/s12866-023-02852-7

URI

Authors

Liu Y, Wang M, Li W, Gao Y, Li H, Cao N, Hao W, Zhao L

Journal

BMC microbiology

Year

2023

Keywords:

Carotene intake, Gut microbiota, Metabolic function, Mongolian population, Type 2 diabetes mellitus

BACKGROUND: Many studies reported the association between gut microbiota and type 2 diabetes mellitus (T2D), but it is still unclear which bacterial genus plays a key role and how the metabolic function of gut microbiota changes in the occurrence and development of T2D. Besides, there is a high diabetic prevalence in Mongolian population, which may be partly affected by their high calorie diet. This study identified the main bacterial genus influencing T2D in Mongolian population, and analyzed the changes of metabolic function of gut microbiome. The association between dietary factors and the relative abundance of main bacterial genus and its metabolic function was also studied. METHODS: Dietary surveys and gut microbiota test were performed on 24 Mongolian volunteers that were divided into T2D (6 cases), PRET2D (6 cases) and Control group (12 cases) according to fasting plasma glucose (FPG) values. The relative abundance and metabolic function of gut microbiome from their fecal samples were measured by metagenomic analysis. Statistic method was used to evaluate the association between dietary factors and the relative abundance of the main bacterial genus or its metabolic function. RESULTS: This study found that the Clostridium genus may be one of the key bacterial genera affecting the process of T2D. First, the relative abundance of Clostridium genus was significantly different among the three groups. Second, there was a higher relative abundance of metabolic enzymes of gut bacteria in PRET2D and T2D group than that in Control group. Third, a strong correlation between Clostridium genus and many metabolic enzymes was uncovered, many of which may be produced by the Clostridium. Last, carotene intake daily was negatively correlated with the Clostridium but positively correlated with tagaturonate reductase catalyzing interconversions of pentose and glucuronate. CONCLUSIONS: The gut Clostridium genus may play an important role in the development of T2D and it could be a potential biomarker for T2D in Mongolian population. Meanwhile, the metabolic function of gut bacteria has changed during the early stage of T2D and the changes in carbohydrate, amino acid, lipid or energy metabolism of Clostridium genus may play a critical role. In addition, the carotene intake may affect reproduction and metabolic function of Clostridium genus.

Experiment 1

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Reviewed Marked as Reviewed by Svetlana up on 2025-4-14

Curated date: 2025/04/12

Curator: Tosin

Revision editor(s): Tosin

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: Type II diabetes mellitus adult onset diabetes,Adult-Onset Diabetes,adult-onset diabetes,Adult-Onset Diabetes Mellitus,diabetes mellitis type 2,diabetes mellitis type II,DIABETES MELLITUS TYPE 02,diabetes mellitus type 2,Diabetes Mellitus, Adult Onset,Diabetes Mellitus, Adult-Onset,Diabetes Mellitus, Ketosis Resistant,Diabetes Mellitus, Ketosis-Resistant,Diabetes Mellitus, Maturity Onset,Diabetes Mellitus, Maturity-Onset,Diabetes Mellitus, Non Insulin Dependent,Diabetes Mellitus, Non-Insulin-Dependent,Diabetes Mellitus, Noninsulin Dependent,diabetes mellitus, noninsulin-dependent,Diabetes Mellitus, Slow Onset,Diabetes Mellitus, Slow-Onset,Diabetes Mellitus, Stable,Diabetes Mellitus, Type 2,diabetes mellitus, type 2,diabetes mellitus, type 2, protection against,Diabetes Mellitus, Type II,Diabetes, Type 2,diabetes, type 2,insulin resistance, susceptibility to,Ketosis-Resistant Diabetes Mellitus,Maturity Onset Diabetes Mellitus,maturity-onset diabetes,Maturity-Onset Diabetes Mellitus,MODY,NIDDM,Non-Insulin Dependent Diabetes,non-insulin dependent diabetes,Non-Insulin Dependent Diabetes Mellitus,non-insulin dependent diabetes mellitus,non-insulin-dependent diabetes mellitus,noninsulin dependent diabetes,noninsulin-dependent diabetes mellitus,Slow-Onset Diabetes Mellitus,Stable Diabetes Mellitus,T2DM - Type 2 Diabetes mellitus,T2DM - type 2 diabetes mellitus,Type 2 Diabetes,type 2 diabetes,Type 2 Diabetes Mellitus,type 2 diabetes mellitus,Type 2 Diabetes Mellitus Non-Insulin Dependent,type 2 diabetes mellitus non-insulin dependent,Type II Diabetes,type II diabetes,type II diabetes mellitus,Type II diabetes mellitus

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Control (Normal glucose control group)

Group 1 name Corresponds to the case (exposed) group for case-control studies: T2D (type II diabetes) group

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Patients with type II diabetes

Group 0 sample size Number of subjects in the control (unexposed) group: 12

Group 1 sample size Number of subjects in the case (exposed) group: 6

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 1 month

Lab analysis

Sequencing type: WMS

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

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: LEfSe

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)?: No

LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 4

Matched on Factors on which subjects have been matched on in a case-control study: age, sex

Signature 1

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Curated date: 2025/04/12

Curator: Tosin

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Source: Figure 3A, 3B

Description: LeFse analysis between control and T2D(type 2 diabetes) group

Abundance in Group 1: increased abundance in T2D (type II diabetes) group

NCBI	Quality Control	Links
Clostridium
Erysipelotrichales
Erysipelotrichia
Eubacterium sp. CAG:156
Firmicutes bacterium CAG:882
Holdemanella
Holdemanella biformis
Odoribacter splanchnicus
Parabacteroides merdae
Phocaeicola dorei
uncultured Clostridium sp.
Phocaeicola massiliensis
Dorea longicatena
Blautia obeum
Bacteroides eggerthii

Revision editor(s): Tosin