Buchynskyi, M.; Oksenych, V.; Kamyshna, I.; Vari, S.G.; Kamyshnyi, A. Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis. Viruses2023, 15, 1724.
Buchynskyi, M.; Oksenych, V.; Kamyshna, I.; Vari, S.G.; Kamyshnyi, A. Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis. Viruses 2023, 15, 1724.
Buchynskyi, M.; Oksenych, V.; Kamyshna, I.; Vari, S.G.; Kamyshnyi, A. Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis. Viruses2023, 15, 1724.
Buchynskyi, M.; Oksenych, V.; Kamyshna, I.; Vari, S.G.; Kamyshnyi, A. Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis. Viruses 2023, 15, 1724.
Abstract
Metabolic-associated fatty liver disease (MAFLD) and its potential impact on the severity of COVID-19 have gained significant attention during the pandemic. This review aimed to explore the genetic determinants associated with MAFLD, previously recognized as non-alcoholic fatty liver disease (NAFLD), and their potential influence on COVID-19 outcomes. Various genetic polymorphisms, including PNPLA3 (rs738409), GCKR (rs780094), TM6SF2 (rs58542926), and LYPLAL1 (rs12137855), have been investigated in relation to MAFLD susceptibility and progression. Genome-wide association studies and meta-analyses have revealed associations between these genetic variants and MAFLD risk, as well as their effects on lipid metabolism, glucose regulation, and liver function. Furthermore, emerging evidence suggests a possible connection between these MAFLD-associated polymorphisms and the severity of COVID-19. Studies exploring the association between indicated genetic variants and COVID-19 outcomes have shown conflicting results. Some studies observed a potential protective effect of certain variants against severe COVID-19, while others reported no significant associations. This review highlights the importance of understanding the genetic determinants of MAFLD and its potential implications for COVID-19 outcomes. Further research is needed to elucidate the precise mechanisms linking these genetic variants to disease severity and to develop gene profiling tools for early prediction of COVID-19 outcomes. If confirmed as determinants of disease severity, these genetic polymorphisms could aid in identifying high-risk individuals and improving the management of COVID-19.
Biology and Life Sciences, Immunology and Microbiology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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