Your browser doesn't support javascript.
loading
Identification of six genes associated with COVID-19-related circadian rhythm dysfunction by integrated bioinformatic analysis.
Xu, Yanfeng; Zhang, Mingyu; Wang, Guanyun; Yang, Jigang.
Afiliación
  • Xu Y; Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xicheng District, Beijing, 100050, China.
  • Zhang M; Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xicheng District, Beijing, 100050, China.
  • Wang G; Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xicheng District, Beijing, 100050, China.
  • Yang J; Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xicheng District, Beijing, 100050, China. yangjigang@ccmu.edu.cn.
Funct Integr Genomics ; 23(3): 282, 2023 Aug 25.
Article en En | MEDLINE | ID: mdl-37624450
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.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Funct Integr Genomics Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Funct Integr Genomics Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2023 Tipo del documento: Article País de afiliación: China