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DC Field | Value | Language |
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dc.contributor.author | Pakorn Sagulkoo | en_US |
dc.contributor.author | Kitiporn Plaimas | en_US |
dc.contributor.author | Apichat Suratanee | en_US |
dc.contributor.author | Andrea Name Colado Simão | en_US |
dc.contributor.author | Edna Maria Vissoci Reiche | en_US |
dc.contributor.author | Michael Maes | en_US |
dc.date.accessioned | 2022-10-16T07:09:23Z | - |
dc.date.available | 2022-10-16T07:09:23Z | - |
dc.date.issued | 2022-01-01 | en_US |
dc.identifier.issn | 18734286 | en_US |
dc.identifier.issn | 13816128 | en_US |
dc.identifier.other | 2-s2.0-85134215129 | en_US |
dc.identifier.other | 10.2174/1381612828666220519150821 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134215129&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/76384 | - |
dc.description.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. | en_US |
dc.subject | Pharmacology, Toxicology and Pharmaceutics | en_US |
dc.title | Immunopathogenesis and Immunogenetic Variants in COVID-19 | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Current Pharmaceutical Design | en_US |
article.volume | 28 | en_US |
article.stream.affiliations | King Mongkut's University of Technology North Bangkok | en_US |
article.stream.affiliations | Faculty of Medicine, Chiang Mai University | en_US |
article.stream.affiliations | Medical University of Plovdiv | en_US |
article.stream.affiliations | Chulalongkorn University | en_US |
article.stream.affiliations | Universidade Estadual de Londrina | en_US |
article.stream.affiliations | Deakin University | en_US |
article.stream.affiliations | Faculty of Medicine, Chulalongkorn University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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