Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/76384
Title: Immunopathogenesis and Immunogenetic Variants in COVID-19
Authors: Pakorn Sagulkoo
Kitiporn Plaimas
Apichat Suratanee
Andrea Name Colado Simão
Edna Maria Vissoci Reiche
Michael Maes
Authors: Pakorn Sagulkoo
Kitiporn Plaimas
Apichat Suratanee
Andrea Name Colado Simão
Edna Maria Vissoci Reiche
Michael Maes
Keywords: Pharmacology, Toxicology and Pharmaceutics
Issue Date: 1-Jan-2022
Abstract: Coronavirus disease 2019 (COVID-19) continues to spread globally despite the discovery of vac-cines. Many people die due to COVID-19 as a result of catastrophic consequences, such as acute respiratory distress syndrome, pulmonary embolism, and disseminated intravascular coagulation caused by a cytokine storm. Immunopathology and immunogenetic research may assist in diagnosing, predicting, and treating severe COVID-19 and the cytokine storm associated with COVID-19. This paper reviews the immunopathogenesis and immunogenetic variants that play a role in COVID-19. Although various immune-related genetic variants have been investigated in relation to severe COVID-19, the NOD-like receptor protein 3 (NLRP3) and interleukin 18 (IL-18) have not been assessed for their potential significance in the clinical outcome. Here, we a) sum-marize the current understanding of the immunogenetic etiology and pathophysiology of COVID-19 and the associated cytokine storm; and b) construct and analyze protein-protein interaction (PPI) networks (using enrichment and annotation analysis) based on the NLRP3 and IL18 variants and all genes, which were established in severe COVID-19. Our PPI network and enrichment analyses predict a) useful drug targets to prevent the on-set of severe COVID-19, including key antiviral pathways such as Toll-Like-Receptor cascades, NOD-like receptor signaling, RIG-induction of interferon (IFN) α/β, and interleukin (IL)-1, IL-6, IL-12, IL-18, and tumor necrosis factor signaling; and b) SARS-CoV-2 innate immune evasion and the participation of MYD88 and MAVS in the pathophysiology of severe COVID-19. The PPI network genetic variants may be used to predict more severe COVID-19 outcomes, thereby opening the door for targeted preventive treatments.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134215129&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/76384
ISSN: 18734286
13816128
Appears in Collections:CMUL: Journal Articles

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