Transcriptomics Dissection of Calorie Restriction and Exercise Training in Brown Adipose Tissue and Skeletal Muscle.
Yonghao FengZhicheng CuiXiaodan LuHongyu GongXiaoyu LiuHui WangHaoyu ChengHuanqing GaoXiaohong ShiYiming LiHongying YeQiongyue ZhangXingxing KongPublished in: Nutrients (2023)
Calorie restriction (CR) and exercise training (EX) are two critical lifestyle interventions for the prevention and treatment of metabolic diseases, such as obesity and diabetes. Brown adipose tissue (BAT) and skeletal muscle are two important organs for the generation of heat. Here, we undertook detailed transcriptional profiling of these two thermogenic tissues from mice treated subjected to CR and/or EX. We found transcriptional reprogramming of BAT and skeletal muscle as a result of CR but little from EX. Consistent with this, CR induced alterations in the expression of genes encoding adipokines and myokines in BAT and skeletal muscle, respectively. Deconvolution analysis showed differences in the subpopulations of myogenic cells, mesothelial cells and endogenic cells in BAT and in the subpopulations of satellite cells, immune cells and endothelial cells in skeletal muscle as a result of CR or EX. NicheNet analysis, exploring potential inter-organ communication, indicated that BAT and skeletal muscle could mutually regulate their fatty acid metabolism and thermogenesis through ligands and receptors. These data comprise an extensive resource for the study of thermogenic tissue molecular responses to CR and/or EX in a healthy state.
Keyphrases
- skeletal muscle
- insulin resistance
- adipose tissue
- induced apoptosis
- cell cycle arrest
- high fat diet induced
- endothelial cells
- weight loss
- gene expression
- metabolic syndrome
- high fat diet
- type diabetes
- physical activity
- high glucose
- fatty acid
- cardiovascular disease
- cell death
- signaling pathway
- single cell
- dna methylation
- long non coding rna
- transcription factor
- glycemic control
- risk assessment
- single molecule
- pi k akt
- newly diagnosed
- climate change
- big data
- artificial intelligence
- vascular endothelial growth factor