肌少症转录组数据挖掘及潜在生物标志物的鉴定

Data Mining of Sarcopenia Transcriptome and Identification of Potential Biomarkers

目的探讨与肌少症相关的潜在关键基因,为肌少症新的分子标记物及靶点提供依据。方法从GEO数据库下载肌少症和健康对照组的转录组数据(GSE111017),用LIMMA软件包鉴定差异表达基因(DEGS)。基于String数据库对蛋白质-蛋白质相互作用(PPI)网络进行分析,并对DEGS进行功能富集分析。结果共发现530个差异基因,其中上调基因419个,下调基因111个。这些基因主要富集在线粒体氧化应激、干细胞多能性信号通路调控、PPAR等信号通路上。结论角蛋白1(KRT1)、过氧化物体增殖物激活受体γ辅激活因子1-α(PGC-1α)及LOR基因可能是肌少症的潜在生物标志物,线粒体氧化应激可能是肌少症发生、发展过程的主要原因。

Objective To explore the potential key genes related to sarcopenia and provide a basis for new molecular markers and targets for sarcopenia.Methods The transcriptome data of sarcopenia and healthy control group(GSE111017)were download from gene expression omnibus(GEO)database,and LIMMA software package was used to identify differentially expressed genes(DEGS).Based on string database,the protein-protein interaction(PPI)network was analyzed,and DEGS was analyzed for functional enrichment.Results A total of 530 differential genes were found,including 419 up-regulated genes and 111 down-regulated genes.These genes were mainly enriched in signal pathways such as mitochondrial oxidative stress,stem cell pluripotency signal pathway,and PPAR signal pathway.Conclusion KRT1,PGC-1αand LOR genes may be potential biomarkers of sarcopenia,and mitochondrial oxidative stress may be the main cause for the occurrence and progression of sarcopenia.