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Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics
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 i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500074/ https://www.ncbi.nlm.nih.gov/pubmed/37719264 http://dx.doi.org/10.3389/fmolb.2023.1228771 |
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author | Gong, Linqiang Zhao, Shiyuan Chu, Xue Yang, Hui Li, Yanan Wei, Shanshan Li, Fengfeng Zhang, Yazhou Li, Shuhui Jiang, Pei |
author_facet | Gong, Linqiang Zhao, Shiyuan Chu, Xue Yang, Hui Li, Yanan Wei, Shanshan Li, Fengfeng Zhang, Yazhou Li, Shuhui Jiang, Pei |
author_sort | Gong, Linqiang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10500074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105000742023-09-15 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 Front Mol Biosci Molecular Biosciences 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. Frontiers Media S.A. 2023-08-31 /pmc/articles/PMC10500074/ /pubmed/37719264 http://dx.doi.org/10.3389/fmolb.2023.1228771 Text en Copyright © 2023 Gong, Zhao, Chu, Yang, Li, Wei, Li, Zhang, Li and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences 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 |
title | Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
title_full | Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
title_fullStr | Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
title_full_unstemmed | Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
title_short | Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
title_sort | assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500074/ https://www.ncbi.nlm.nih.gov/pubmed/37719264 http://dx.doi.org/10.3389/fmolb.2023.1228771 |
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