Analysis of Serum Metabolomics in Obese Mice Induced by High-Fat Diet

Li Bao; Chunjing Yang; Zhengyuan Shi; Zhanrong Wang; Dechun Jiang

doi:10.2147/DMSO.S337979

Analysis of Serum Metabolomics in Obese Mice Induced by High-Fat Diet

Diabetes Metab Syndr Obes. 2021 Nov 30:14:4671-4678. doi: 10.2147/DMSO.S337979. eCollection 2021.

Authors

Li Bao^{1

2}, Chunjing Yang^{1

2}, Zhengyuan Shi^{1

2}, Zhanrong Wang³, Dechun Jiang^{1

2}

Affiliations

¹ Department of Pharmacy, Beijing Shijitan Hospital, Capital Medical University, Beijing, People's Republic of China.
² Beijing Key Laboratory of Biocharacteristic Profiling for Evaluation of Rational Drug Use, Beijing, People's Republic of China.
³ Department of Traditional Chinese Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, People's Republic of China.

Abstract

Background: Obesity is a public health problem all over the world, and dietary habits are considered one of the important reasons.

Methods: In this study, serum metabolites of mice fed a normal or high-fat diet (HFD) were analyzed using UPLC-QTOF-MS.

Results: A significant increase in body weight was noted in HFD mice. The HFD and control groups were significantly different from each other on OPLS-DA scores. The major metabolites contributing to obesity were lipid metabolites (phosphatidylcholines, phosphatidylethanolamine, and lysophosphatidylcholines). In addition, this study revealed that glycerophospholipid metabolism, α-linolenic acid metabolism, and linoleic acid metabolism were related to obesity and obesity-associated diseases.

Conclusion: These results can be used to better understand obesity and assess its risk, which will provide new ideas for treatment.

Keywords: UPLC-QTOF-MS technique; high-fat diet; obesity; serum metabolomics.

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant 82073741).