Microbiome Features Differentiating Unsupervised-Stratification-Based Clusters of Patients with Abnormal Glycometabolism-Reference-Cited by-同舟云学术

Microbiome Features Differentiating Unsupervised-Stratification-Based Clusters of Patients with Abnormal Glycometabolism

Published:2023-02-28 Issue:1 Volume:14 Page:
ISSN:2150-7511
Container-title:mBio
language:en
Short-container-title:mBio

Author:

Xu Ting¹,Wang Xuejiao²,Chen Yu¹,Li Hui¹,Zhao Liping¹³,Ding Xiaoying²,Zhang Chenhong¹^ORCID

Affiliation:

1. State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

2. Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

3. Department of Biochemistry and Microbiology and New Jersey Institute for Food, Nutrition and Health, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, New Jersey, USA

Abstract

The gut microbiota is altered in patients with type 2 diabetes (T2D) and prediabetes. The association of particular bacteria with T2D, however, varied among studies, which has made it challenging to develop precision medicine approaches for the prevention and alleviation of T2D.

Funder

MOST | National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Hospital Development Center

Publisher

American Society for Microbiology

Subject

Virology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/mbio.03487-22

Reference50 articles.

1. A metagenome-wide association study of gut microbiota in type 2 diabetes