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Phocea, Pseudoflavonifractor and Lactobacillus intestinalis: Three Potential Biomarkers of Gut Microbiota That Affect Progression and Complications of Obesity-Induced Type 2 Diabetes Mellitus.
Wang, Yuxin; Ouyang, Meishuo; Gao, Xibao; Wang, Shuai; Fu, Chunyang; Zeng, Jiayi; He, Xiaodong.
Afiliação
  • Wang Y; Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
  • Ouyang M; Department of Public Health, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.
  • Gao X; Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
  • Wang S; Institute of Toxicology, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
  • Fu C; Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
  • Zeng J; Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
  • He X; Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People's Republic of China.
Diabetes Metab Syndr Obes ; 13: 835-850, 2020.
Article em En | MEDLINE | ID: mdl-32256098
PURPOSE: The purpose of this study was to explore the difference and association between intestinal microbiota and plasma metabolomics between type 2 diabetes mellitus (T2DM) and normal group and to identify potential microbiota biomarkers that contribute the most to the difference in metabolites. METHODS: Six male ZDF model (fa/fa) rats were fed by a Purina #5008 Lab Diet (crude protein 23.5%, crude fat 6.5%) for 3 weeks and their age-matched 6 ZDF control (fa/+) rats were fed by normal rodent diet. Their stool and blood samples were collected at 12 weeks. To analyze the microbial populations in these samples, we used a 16S rRNA gene sequencing approach. Liquid chromatography-mass spectrometry (LC-MS) followed by multivariate statistical analysis was applied to the plasma metabolites profiling. Correlation analysis of them was calculated by Pearson statistical method. RESULTS: Twelve potential biomarkers of intestinal microbial flora and 357 differential metabolites were found in ZDF fa/fa rats, among which there are three flora that contributed the most to the perturbation of metabolites, including genus Phocea, Pseudoflavonifractor and species Lactobacillus intestinalis. CONCLUSION: Our study demonstrates the alterations of the abundance and diversity of the intestinal microbiota and the perturbation of metabolites in ZDF rats (fa/fa). We found three potential biomarkers of intestinal microbiota that may lead to perturbation in plasma metabolites. This may prompt new pathogenesis of obesity-related T2DM, but we also need to study further about the causal relationship between intestinal microbe and T2DM, so as to find the target of T2DM treatment or preventive measures.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article