Integrating Choline and Specific Intestinal Microbiota to Classify Type 2 Diabetes in Adults: A Machine Learning Based Metagenomics Study

Integrating Choline and Specific Intestinal Microbiota to Classify Type 2 Diabetes in Adults: A Machine Learning Based Metagenomics Study

Emerging evidence is examining the precise role of intestinal microbiota in the pathogenesis of type 2 diabetes. The aim of this study was to investigate the association of intestinal microbiota and microbiota-generated metabolites with glucose metabolism systematically in a large cross-sectional st...

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Bibliographic Details
Main Authors: Qiang Zeng, Mingming Zhao, Fei Wang, Yanping Li, Huimin Li, Jianqiong Zheng, Xianyang Chen, Xiaolan Zhao, Liang Ji, Xiangyang Gao, Changjie Liu, Yu Wang, Si Cheng, Jie Xu, Bing Pan, Jing Sun, Yongli Li, Dongfang Li, Yuan He, Lemin Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Endocrinology
Subjects:
choline
intestinal microbiota
TMAO
type 2 diabetes
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.906310/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.906310/full

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