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Immunopathogenesis and Immunogenetic Variants in COVID-19.
Sagulkoo, Pakorn; Plaimas, Kitiporn; Suratanee, Apichat; Colado Simão, Andrea Name; Vissoci Reiche, Edna Maria; Maes, Michael.
  • Sagulkoo P; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.
  • Plaimas K; Center of Biomedical Informatics, Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.
  • Suratanee A; Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
  • Colado Simão AN; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
  • Vissoci Reiche EM; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.
  • Maes M; Intelligent and Nonlinear Dynamic Innovations Research Center, Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.
Curr Pharm Des ; 28(22): 1780-1797, 2022.
Article in English | MEDLINE | ID: covidwho-2235132
ABSTRACT
Coronavirus disease 2019 (COVID-19) continues to spread globally despite the discovery of vaccines. 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) summarize 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 onset of severe COVID-19, including key antiviral pathways such as Toll-Like-Receptor cascades, NOD-like receptor signaling, RIG-induction of interferon (IFN) α/ß, 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Etiology study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Curr Pharm Des Journal subject: Pharmacy Year: 2022 Document Type: Article Affiliation country: 1381612828666220519150821

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Etiology study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Curr Pharm Des Journal subject: Pharmacy Year: 2022 Document Type: Article Affiliation country: 1381612828666220519150821