Genetic Predictors of Comorbid Course of COVID-19 and MAFLD: A Comprehensive Analysis

被引:7
作者
Buchynskyi, Mykhailo [1 ]
Oksenych, Valentyn [2 ]
Kamyshna, Iryna [3 ]
Vari, Sandor G. [4 ]
Kamyshnyi, Aleksandr [1 ]
机构
[1] I Horbachevsky Ternopil Natl Med Univ, Dept Microbiol Virol & Immunol, UA-46001 Ternopol, Ukraine
[2] Univ Bergen, Dept Clin Sci, Broegelmann Res Lab, N-5020 Bergen, Norway
[3] I Horbachevsky Ternopil Natl Med Univ, Dept Med Rehabil, UA-46001 Ternopol, Ukraine
[4] Cedars Sinai Med Ctr, Int Res & Innovat Med Program, Los Angeles, CA 90048 USA
来源
VIRUSES-BASEL | 2023年 / 15卷 / 08期
关键词
MAFLD; COVID-19; NAFLD; SARS-CoV-2; PNPLA; rs738409; GCKR; rs780094; TM6SF2; rs58542926; LYPLAL1; rs12137855; FATTY LIVER-DISEASE; SUPERFAMILY MEMBER 2; PNPLA3; RS738409; HISTOLOGICAL SEVERITY; TM6SF2; RS58542926; I148M VARIANT; E167K VARIANT; MENDELIAN RANDOMIZATION; CONFERS SUSCEPTIBILITY; MBOAT7; RS641738;
D O I
10.3390/v15081724
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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 the early prediction of COVID-19 outcomes. If confirmed as determinants of disease severity, these genetic polymorphisms could aid in the identification of high-risk individuals and in improving the management of COVID-19.
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