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.
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