Bioinformatics analysis of SARS-CoV-2 infectionassociated immune injury and therapeutic prediction for COVID-19

Background:Severe acute respiratory syndrome coronavirus 2 is a highly contagious viral infection,without any available targeted therapies.The high mortality rate of COVID-19 is speculated to be related to immune damage.Methods:In this study,clinical bioinformatics analysis was conducted on transcriptome data of coronavirus infection.Results:Bioinformatics analysis revealed that the complex immune injury induced by coronavirus infection provoked dysfunction of numerous immune-related molecules and signaling pathways,including immune cells and toll-like receptor cascades.Production of numerous cytokines through the Th17 signaling pathway led to elevation in plasma levels of cytokines(including IL6,NF-kB,and TNF-a)followed by concurrent inflammatory storm,which mediates the autoimmune response.Several novel medications seemed to display therapeutic effects on immune damage associated with coronavirus infection.Conclusions:This study provided insights for further large-scale studies on the target therapy on reconciliation of immunological damage associated with COVID-19.