Bioinformatics analysis of SARS-CoV-2 infection-associated immune injury and therapeutic prediction for COVID-19
Emergency and Critical Care Medicine
; 1(1):20-28, 2021.
Article
in English
| Scopus | ID: covidwho-2097482
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-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. Copyright © 2021 Shandong University, published by Wolters Kluwer, Inc.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Prognostic study
Language:
English
Journal:
Emergency and Critical Care Medicine
Year:
2021
Document Type:
Article
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