Gene co-expression analysis identifies modules related to insufficient sleep in humans

Autor: Dan Zhao, Na Zhu, Yibin Zhao, Fangxia Mi, Jinman Du, Xiaosu Zhao, Liangshun Zhang, Yufei Song, Hua Ye, Huiwei Liu, Xinxue Wang, Shiliang Huang, Xuesong Zhang
Rok vydání: 2021
Předmět:
Zdroj: Sleep Medicine. 86:68-74
ISSN: 1389-9457
DOI: 10.1016/j.sleep.2021.08.010
Popis: Background Insufficient sleep and circadian rhythm disruption may cause cancer, obesity, cardiovascular disease, and cognitive impairment. The underlying mechanisms need to be elucidated. Method Weighted gene co-expression network analysis (WGCNA) was used to identify co-expressed modules. Connectivity Map tool was used to identify candidate drugs based on top connected genes. R ptestg package was utilized to detected module rhythmicity alteration. A hypergeometric test was used to test the enrichment of insomnia SNP signals in modules. Google Scholar was used to validate the modules and hub genes by literature. Results We identified a total of 45 co-expressed modules. These modules were stable and preserved. Eight modules were correlated with sleep restriction duration. Module rhythmicity was disrupted in sleep restriction subjects. Hub genes that involve in insufficient sleep also play important roles in sleep disorders. Insomnia GWAS signals were enriched in six modules. Finally, eight drugs associated with sleep disorders were identified. Conclusion Systems biology method was used to identify sleep-related modules, hub genes, and candidate drugs. Module rhythmicity was altered in sleep insufficient subjects. Thiamphenicol, lisuride, timolol, and piretanide are novel candidates for sleep disorders.
Databáze: OpenAIRE
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