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Polymorphisms of leukocyte genes human and congenital antigen immunity associated with different the severity of the course of the new coronavirus infections
Vestnik Rossiyskoy voyenno meditsinskoy akademii ; 3:547-556, 2022.
Article Dans Russe | GIM | ID: covidwho-2292766
ABSTRACT
The most significant single nucleotide human leukocyte antigen genes polymorphisms and innate immunity genes associated with varying degrees of acute respiratory infection severity are considered-COVID-19 caused by the SARS-CoV-2 coronavirus. As data accumulated, it became clear that the SARS-CoV-2 virus exhibits significant regional, ethnic, and individual specificity. This is due to the population groups' genetic characteristics. This is necessary to reliably know the human genotype relationship with the COVID-19 course severity (asymptomatic, mild, moderate, severe, and extremely severe up to fatal outcomes) for more successful therapy and vaccination. At the same time, it was also known that the innate immunity system is on the first line of defense against the pathogenic penetration into the body, and the human leukocyte antigen system encodes molecules of the same name on the surface of cells that present various antigens, including viral infection pathogens, and determine the severity of the course of many diseases;therefore, these systems' genes. This approach makes it possible to assess the likelihood of a severe and extremely severe disease course in healthy and infected people, which in turn contributes to the correct therapy strategy, pharmacotherapy, and vaccination, as well as to create new antiviral therapeutic and preventive medicines. The genetically determined immune response heterogeneity to SARS-CoV-2 infection requires further study, since there is no unambiguous opinion about the leading mechanism that determines disease severity.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: GIM Type d'étude: Étude pronostique langue: Russe Revue: Vestnik Rossiyskoy voyenno meditsinskoy akademii Année: 2022 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: GIM Type d'étude: Étude pronostique langue: Russe Revue: Vestnik Rossiyskoy voyenno meditsinskoy akademii Année: 2022 Type de document: Article