Correlations between α-Linolenic Acid-Improved Multitissue Homeostasis and Gut Microbiota in Mice Fed a High-Fat Diet

Author:

Gao Xiaoyu123,Chang Songlin4,Liu Shuangfeng4,Peng Lei14,Xie Jing123,Dong Wenming4,Tian Yang142,Sheng Jun5ORCID

Affiliation:

1. Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming, Yunnan, People’s Republic of China

2. Yunnan Provincial Key Laboratory of Biological Big Data, Yunnan Agricultural University, Kunming, Yunnan, People’s Republic of China

3. Yunnan Provincial Engineering Research Center for Edible and Medicinal Homologous Functional Food, Yunnan Agricultural University, Kunming, Yunnan, People’s Republic of China

4. College of Food Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, People’s Republic of China

5. Key Laboratory of Pu-er Tea Science, Ministry of Education, Yunnan Agricultural University, Kunming, Yunnan, People’s Republic of China

Abstract

Insufficient intake of n -3 polyunsaturated fatty acids is an important issue in modern Western-style diets. A large amount of evidence now suggests that a balanced intestinal microecology is considered an important part of health. Our results show that α-linolenic acid administration significantly improved the host metabolic phenotype and gut microbiota of mice fed a high-fat diet, and there was a correlation between the improved gut microbiota and metabolic phenotype. Some specific bacteria may play a unique regulatory role. Here, we have established correlation networks between gut microbiota and multitissue homeostasis, which may provide a new basis for further elucidating the relationship between the gut microbiota and host metabolism.

Funder

Yunnan Fundamental Research Projects

Major Projects of Science and Technology Department of Yunnan Province

Personel Training Project on Academic and Technical Leaders of Yunnan Province

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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