Gong Linqiang, Zhao Shiyuan, Chu Xue, Yang Hui, Li Yanan, Wei Shanshan, Li Fengfeng, Zhang Yazhou, Li Shuhui, Jiang Pei
Tengzhou Central People's Hospital, Tengzhou, China.
Translational Pharmaceutical Laboratory, Jining First People's Hospital, Shandong First Medical University, Jining, China.
Front Mol Biosci. 2023 Aug 31;10:1228771. doi: 10.3389/fmolb.2023.1228771. eCollection 2023.
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. A total of 14 male C57BL/6J mice were randomly assigned to two groups: the control group ( = 7) and the CE group ( = 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. 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. 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.
冷暴露（CE）可有效调节脂肪组织代谢并改善代谢健康。尽管先前的代谢组学研究主要集中于分析血清、棕色脂肪组织（BAT）、白色脂肪组织（WAT）和肝脏样本中的一两个样本，但对于CE诱导的小鼠代谢变化，多个组织的同时分析仍存在显著不足。因此，我们的研究旨在探究主要相关组织的代谢谱。总共14只雄性C57BL/6J小鼠被随机分为两组：对照组（n = 7）和CE组（n = 7）。使用气相色谱 - 质谱联用（GC - MS）进行代谢物测定，并采用多变量分析来识别两组之间表现出差异表达的代谢物。在我们的研究中，分别在BAT中鉴定出32种判别性代谢物，在WAT中鉴定出17种，在血清中鉴定出21种，在肝脏中鉴定出7种，在脾脏中鉴定出16种，在肾脏中鉴定出26种。在这些代谢物中，氨基酸、脂肪酸和核苷酸成为变化最显著的化合物。这些代谢物被发现与12条与氨基酸、脂肪酸和能量代谢密切相关的差异代谢途径有关。我们的研究可能为CE诱导的代谢效应提供有价值的见解，并且它们有可能启发治疗代谢疾病的新方法。
