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Bioinformatics analysis of SARS-CoV-2 infection-associated immune injury and therapeutic prediction for COVID-19
- Source :
- Emergency and Critical Care Medicine
- Publication Year :
- 2021
-
Abstract
- 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-κB, and TNF-α) 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.
- Subjects :
- Coronavirus disease 2019 (COVID-19)
Bioinformatics analysis
Drug prediction
business.industry
Bioinformatics
viruses
Mortality rate
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
COVID-19
Immune injury
Viral infection
Coronavirus
Immune system
Immunology
Medicine
Original Article
business
Subjects
Details
- Language :
- English
- ISSN :
- 2693860X
- Volume :
- 1
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Emergency and Critical Care Medicine
- Accession number :
- edsair.doi.dedup.....6f55bf1487875681d1c5a0b322138896