Muscle transcriptomic profiling of chronological aging and metabolic syndrome in men. Muscle transcriptomic profiling of chronological aging and metabolic syndrome in men

Skeletal muscle aging is characterized by a progressive decline in muscle mass and function, which is referred to as sarcopenia. Aging is also a primary risk factor for metabolic syndrome (SX), which is a cluster of risk factors for cardiovascular diseases and type 2 diabetes. However, the molecular mechanisms implicated in sarcopenia and changes in muscle proteome associated with SX in elderly men remain unclear. In this dataset, we include the expression data obtained from vastus lateralis muscle biopsies of young and old men with or without metabolic syndrome. These data are used to identify 479 genes that are differentially expressed with aging, 328 being associated with aging alone and 117 with metabolic syndrome. Overall design: 30 Total samples were analyzed. Data were processed using GeneSpring GX 14.9 13 (Agilent) and analyzed by oneway ANOVA followed by pairwise comparisons using Tukey HSD post Hoc test. Benjamini-Hochberg multiple testing correction were performed to identify differentially expressed entities with a significance threshold set at P < 0.05. We generated the following pairwise comparisons using : young (YO) vs. healthy old (EL), EL vs. old with metabolic syndrome (SX), YO vs. SX.

骨骼肌衰老以肌肉质量与功能的进行性减退为特征，该现象被称为肌肉减少症（sarcopenia）。衰老是代谢综合征（metabolic syndrome, SX）的首要危险因素，而代谢综合征是一组汇集了心血管疾病与2型糖尿病多项危险因素的症候群。然而，目前与肌肉减少症相关的分子机制，以及老年男性中与代谢综合征相关的肌肉蛋白质组变化仍未明确。

本数据集纳入了伴或不伴代谢综合征的年轻与老年男性的股外侧肌（vastus lateralis muscle）活检组织的表达谱数据。利用这批数据，研究人员筛选出479个随衰老差异表达的基因，其中328个仅与衰老相关，117个与代谢综合征相关。

总体实验设计：本研究共分析30例样本。数据采用安捷伦（Agilent）的GeneSpring GX 14.9 13软件进行处理，通过单因素方差分析后结合Tukey HSD事后检验开展组间两两比较。同时实施Benjamini-Hochberg多重检验校正，设定显著性阈值为P<0.05以筛选差异表达基因。本次分析设置了如下三组两两比较：年轻组（YO）vs健康老年组（EL）、健康老年组（EL）vs伴代谢综合征老年组（SX）、年轻组（YO）vs伴代谢综合征老年组（SX）。