COVID-19 has become a global infectious pandemic affecting the entire world with complications related to the lungs and compromised immune systems. Recently, cytokine storms, which are hallmarks of the disease, have been identified in most COVID-19 patients. In addition, vitamin D deficiency is increasingly appearing to be another element exposing COVID-19 patients to a preferential increase in their symptoms. In an effort to identify a possible link between cytokine storms and vitamin D deficiency to streamline a possible treatment, an in silico analysis using bioinformatics approach was performed using collections of highly expressed cytokines in both severe acute respiratory syndrome and COVID-19 patients (commonly elevated cytokines) as well as vitamin D deficiency-associated genes (VD). Gene Multiple Association Network Integration Algorithm was used for network interactions, whereas the Enrichr enrichment analysis tool was used for biological functions. The network analysis GLay clustering results indicated the vitamin D receptor as a possible link between these two groups. Furthermore, cell chemotaxis and chemotactic-related features were identified as significantly affected pathways, which serve as possible key players mitigating cytokine storms under low vitamin D availability.
Keywords: COVID-19; chemotaxis; cytokine storm; in silico analysis; vitamin D deficiency.