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Obesity is one of the most severe public health problems and may result in many other related diseases, such as heart disease, diabetes, and stroke. Living habits, particularly excessive caloric intake, are a vital contributor to increasing obesity incidence worldwide. Recent studies have revealed an intimate cross-talk between living habits and the gut microbiome. The gut microbiome has also been identified as a critical player in the cause of obesity. Here we used 16S rDNA amplicon sequencing to investigate changes in the gut microbiome composition of mice fed with a high-fat diet (HFD). The total number of OTUs, Chao index, and Shannon index of the gut microbiome showed an increase in the abundance of specific gut microbiome species. Alternatively, Simpson index indicated a decrease in gut microbiome diversity after HFD feeding. We also found that HFD leads to augments in Firmicutes:Bacteroidetes ratio mainly caused by increased Firmicutes. The total abundance of Bacteroidetes was not changed at the phylum level, while at the family level, both Rikenellaceae and Bacteroidaceae showed a significant increase after the HFD. Additionally, after HFD, we found an increase in the abundance of Proteobacteria related to inflammation and a significant decrease in the proportion of Verrucomicrobia. Our results show that HFD induces a broad gut microbiome change in mice.


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High-fat-diet-induced gut microbiome changes in mice

Show Author's information Wenqi Tang1,2,3,§Libiao Pan1,2,§Jingjing Cheng1,2Xi Wang1,2Lu Zheng1,2Siyu Wang1,2Yudong Zhou1,2Hao Wang1,2( )
Department of Neurobiology and Department of Neurosurgery of Second Affiliated Hospital, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University School of Medicine, Hangzhou 310058, China
NHC and CAMS Key Laboratory of Medical Neurobiology, MOE Frontier Science Center for Brain Research and Brain Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 310058, China
The Children’s Hospital of Zhejiang University School of Medicine and National Clinical Research Center for Child Health, Hangzhou 310052, China

§ Wenqi Tang and Libiao Pan contributed equally to this work.

Abstract

Obesity is one of the most severe public health problems and may result in many other related diseases, such as heart disease, diabetes, and stroke. Living habits, particularly excessive caloric intake, are a vital contributor to increasing obesity incidence worldwide. Recent studies have revealed an intimate cross-talk between living habits and the gut microbiome. The gut microbiome has also been identified as a critical player in the cause of obesity. Here we used 16S rDNA amplicon sequencing to investigate changes in the gut microbiome composition of mice fed with a high-fat diet (HFD). The total number of OTUs, Chao index, and Shannon index of the gut microbiome showed an increase in the abundance of specific gut microbiome species. Alternatively, Simpson index indicated a decrease in gut microbiome diversity after HFD feeding. We also found that HFD leads to augments in Firmicutes:Bacteroidetes ratio mainly caused by increased Firmicutes. The total abundance of Bacteroidetes was not changed at the phylum level, while at the family level, both Rikenellaceae and Bacteroidaceae showed a significant increase after the HFD. Additionally, after HFD, we found an increase in the abundance of Proteobacteria related to inflammation and a significant decrease in the proportion of Verrucomicrobia. Our results show that HFD induces a broad gut microbiome change in mice.

Keywords:

gut microbiome, 16S rDNA, high-fat diet, Firmicutes, Bacteroidaceae
Received: 14 December 2021 Revised: 27 April 2022 Accepted: 05 May 2022 Published: 19 June 2022 Issue date: June 2022
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Publication history
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Acknowledgements
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Publication history

Received: 14 December 2021
Revised: 27 April 2022
Accepted: 05 May 2022
Published: 19 June 2022
Issue date: June 2022

Copyright

© The Author(s) 2022

Acknowledgements

We thank Dr. Mohamed Helmy for critical comments on this manuscript. This work was supported by grants from the National Natural Science Foundation of China (Nos. 31970940, 32171014, 32100813, and 32000706), the Zhejiang Provincial Natural Science Foundation of China (No. LR18H090001), the Non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences (No. 2018PT31041), the Program for Introducing Talents in Discipline to Universities, and the Fundamental Research Funds for the Central Universities (No. 2021FZZX001-37).

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