老年肌肉衰减综合征基因表达性别差异的生物信息学分析

doi:10.3969/j.issn.1006-9771.2018.03.001

Abstract

Abstract: Objective To explore the gender differences in the genes expression of sarcopenia with bioinformatics. Methods The gene expression profiles downloaded from Gene Expression Omnibus database were analysed with BRB-Array Tools and STRING, then the protein-protein interaction network was built with Cytoscape. Results There were 152 genes up-regulated and 67 genes down-regulated in sarcopenic men, and 90 up-regulated and 52 down-regulated in women, with the same 47 up-regulated and 21 down-regulated. The gene ontology (GO) terms were found to be more complex in the sarcopenic women. The function analysis showed the same module genes were enriched in regulation of fat cell differentiation, protein kinase inhibitor activity and protein kinase regulator activity. In the protein-protein interaction networks, dystrophin, vimentin and tropomyosin α-3 were the most important in men, and metallothionein 1H and dynein light chain in women.Conclusion The nosogenesis of sarcopenia is different between genders from differentially expressed genes, that may be important for the future study.

Key words: sarcopenia, aged, gender, protein-protein interaction network, bioinformatics

CLC Number:

R685

GAO Yuan, ZHANG Wei-bo, CHEN Jian, SHOU Yin, XU Ping, HU Li. Gender-related Gene Expression in Sarcopenia in Old People: A Bioinformatic Analysis[J]. 《Chinese Journal of Rehabilitation Theory and Practice》, 2018, 24(3): 249-255.

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Gender-related Gene Expression in Sarcopenia in Old People: A Bioinformatic Analysis

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