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DOI 10.3389/fmolb.2023.1228771

Медицинская библиотека · Frontiers in molecular biosciences · 2023

Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics.

Gong Linqiang, Zhao Shiyuan, Chu Xue, Yang Hui, Li Yanan, Wei Shanshan, Li Fengfeng, Zhang Yazhou, Li Shuhui, Jiang Pei

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Аннотация

Background

Cold exposure (CE) can effectively modulate adipose tissue metabolism and improve metabolic health. Although previous metabolomics studies have primarily focused on analyzing one or two samples from serum, brown adipose tissue (BAT), white adipose tissue (WAT), and liver samples, there is a significant lack of simultaneous analysis of multiple tissues regarding the metabolic changes induced by CE in mice. Therefore, our study aims to investigate the metabolic profiles of the major tissues involved.

Methods

A total of 14 male C57BL/6J mice were randomly assigned to two groups: the control group (n = 7) and the CE group (n = 7). Metabolite determination was carried out using gas chromatography-mass spectrometry (GC-MS), and multivariate analysis was employed to identify metabolites exhibiting differential expression between the two groups.

Results

In our study, we identified 32 discriminant metabolites in BAT, 17 in WAT, 21 in serum, 7 in the liver, 16 in the spleen, and 26 in the kidney, respectively. Among these metabolites, amino acids, fatty acids, and nucleotides emerged as the most significantly altered compounds. These metabolites were found to be associated with 12 differential metabolic pathways closely related to amino acids, fatty acids, and energy metabolism.

Conclusion

Our study may provide valuable insights into the metabolic effects induced by CE, and they have the potential to inspire novel approaches for treating metabolic diseases.

Для цитирования: Gong Linqiang, Zhao Shiyuan, Chu Xue, Yang Hui, Li Yanan, Wei Shanshan, Li Fengfeng, Zhang Yazhou, Li Shuhui, Jiang Pei. Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics.. Frontiers in molecular biosciences. 2023. DOI: 10.3389/fmolb.2023.1228771.
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