Distinct Gut Microbiota Induced by Different Fat-to-Sugar-Ratio High-Energy Diets Share Similar Pro-obesity Genetic and Metabolite Profiles in Prediabetic Mice

Author:

Shan Kai12,Qu Hongyan12,Zhou Keru2,Wang Liangfang3,Zhu Congmin4,Chen Haiqin2,Gu Zhennan2,Cui Jing12,Fu Guoling12,Li Jiaqi12,Chen Heyan12,Wang Rong12,Qi Yumin12,Chen Wei25,Chen Yong Q.12

Affiliation:

1. Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu Province, China

2. School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu Province, China

3. School of Science, Jiangnan University, Wuxi, Jiangsu Province, China

4. MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic & Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing, China

5. Beijing Innovation Centre of Food Nutrition and Human Health, Beijing Technology and Business University, Beijing, China

Abstract

Various types of diet can lead to type 2 diabetes. The gut microbiota in type 2 diabetic patients are also different. So, two questions arise: whether there are any commonalities between gut microbiota induced by different pro-obese diets and whether these commonalities lead to disease. Here we found that high-energy diets with two different fat-to-sugar ratios can both cause obesity and prediabetes but enrich different gut microbiota. Still, these different gut microbiota have similar genetic and metabolite compositions. The microbial metabolites in common between the diets modulate lipid accumulation and macrophage inflammation in vivo and in vitro . This work suggests that studies that only use 16S rRNA amplicon sequencing to determine how the microbes respond to diet and associate with diabetic state are missing vital information.

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

Key research and development program of Jiangsu province

National first-class discipline program of food science and technology

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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