Diabetes, Metabolic Syndrome and Obesity (Mar 2020)
Phocea, Pseudoflavonifractor and Lactobacillus intestinalis: Three Potential Biomarkers of Gut Microbiota That Affect Progression and Complications of Obesity-Induced Type 2 Diabetes Mellitus
Abstract
Yuxin Wang,1,* Meishuo Ouyang,2,* Xibao Gao,1 Shuai Wang,3 Chunyang Fu,1 Jiayi Zeng,1 Xiaodong He1,4 1Department of Physical and Chemical Inspection, School of Public Health, Shandong University, Jinan, Shandong 250012, People’s Republic of China; 2Department of Public Health, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan; 3Institute of Toxicology, School of Public Health, Shandong University, Jinan, Shandong 250012, People’s Republic of China; 4Shandong Provincial Key Laboratory of Infection and Immunity, School of Basic Medical Sciences, Shandong University, Jinan, Shandong 250012, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaodong HeDepartment of Physical and Chemical Inspection, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, People’s Republic of ChinaTel/Fax +86 531 88382554Email [email protected]: 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.Keywords: type 2 diabetes mellitus, Zucker diabetic fatty rats, 16S rRNA sequencing, intestinal microbiota, plasma metabolomics
