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Funct Integr Genomics . Identification of six genes associated with COVID-19-related circadian rhythm dysfunction by integrated bioinformatic analy

tetano

Editor, Senior Moderator
Funct Integr Genomics


. 2023 Aug 25;23(3):282.
doi: 10.1007/s10142-023-01198-7. Identification of six genes associated with COVID-19-related circadian rhythm dysfunction by integrated bioinformatic analysis

Yanfeng Xu[SUP] 1 [/SUP], Mingyu Zhang[SUP] 1 [/SUP], Guanyun Wang[SUP] 1 [/SUP], Jigang Yang[SUP] 2 [/SUP]



Affiliations
Abstract

Patients with coronavirus disease 2019 (COVID-19) might cause long-term burden of insomnia, while the common pathogenic mechanisms are not elucidated. The gene expression profiles of COVID-19 patients and healthy controls were retrieved from the GEO database, while gene set related with circadian rhythm was obtained from GeneCards database. Seventy-six shared genes were screened and mainly enriched in cell cycle, cell division, and cell proliferation, and 6 hub genes were found out including CCNA2, CCNB1, CDK1, CHEK1, MKI67, and TOP2A, with positive correlation to plasma cells. In the TF-gene regulatory network, NFYA, NFIC, MEF2A, and FOXC1 showed high connectivity with hub genes. This study identified six hub genes and might provide new insights into pathogenic mechanisms and novel clinical management strategies.

Keywords: Biomarker; COVID-19; Circadian rhythms; Immunology; WGCNA.

 
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