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1.
Autophagy ; 18(7): 1662-1672, 2022 07.
Article in English | MEDLINE | ID: covidwho-1585354

ABSTRACT

The polymorphism L412F in TLR3 has been associated with several infectious diseases. However, the mechanism underlying this association is still unexplored. Here, we show that the L412F polymorphism in TLR3 is a marker of severity in COVID-19. This association increases in the sub-cohort of males. Impaired macroautophagy/autophagy and reduced TNF/TNFα production was demonstrated in HEK293 cells transfected with TLR3L412F-encoding plasmid and stimulated with specific agonist poly(I:C). A statistically significant reduced survival at 28 days was shown in L412F COVID-19 patients treated with the autophagy-inhibitor hydroxychloroquine (p = 0.038). An increased frequency of autoimmune disorders such as co-morbidity was found in L412F COVID-19 males with specific class II HLA haplotypes prone to autoantigen presentation. Our analyses indicate that L412F polymorphism makes males at risk of severe COVID-19 and provides a rationale for reinterpreting clinical trials considering autophagy pathways.Abbreviations: AP: autophagosome; AUC: area under the curve; BafA1: bafilomycin A1; COVID-19: coronavirus disease-2019; HCQ: hydroxychloroquine; RAP: rapamycin; ROC: receiver operating characteristic; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; TLR: toll like receptor; TNF/TNF-α: tumor necrosis factor.


Subject(s)
COVID-19 , Toll-Like Receptor 3 , Autophagy/genetics , Biomarkers , COVID-19/genetics , HEK293 Cells , Humans , Hydroxychloroquine/therapeutic use , Male , Polymorphism, Single Nucleotide , SARS-CoV-2/genetics , Severity of Illness Index , Toll-Like Receptor 3/genetics
2.
Eur J Med Genet ; 64(6): 104227, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1188514

ABSTRACT

The identification of high-risk factors for the infection by SARS-CoV-2 and the negative outcome of COVID-19 is crucial. The genetic background of the host might account for individual responses to SARS-CoV-2 infection besides age and comorbidities. A list of candidate polymorphisms is needed to drive targeted screens, given the existence of frequent polymorphisms in the general population. We carried out text mining in the scientific literature to draw up a list of genes referable to the term "SARS-CoV*". We looked for frequent mutations that are likely to affect protein function in these genes. Ten genes, mostly involved in innate immunity, and thirteen common variants were identified, for some of these the involvement in COVID-19 is supported by publicly available epidemiological data. We looked for available data on the population distribution of these variants and we demonstrated that the prevalence of five of them, Arg52Cys (rs5030737), Gly54Asp (rs1800450) and Gly57Glu (rs1800451) in MBL2, Ala59Thr (rs25680) in CD27, and Val197Met (rs12329760) in TMPRSS2, correlates with the number of cases and/or deaths of COVID-19 observed in different countries. The association of the TMPRSS2 variant provides epidemiological evidence of the usefulness of transmembrane protease serine 2 inhibitors for the cure of COVID-19. The identified genetic variants represent a basis for the design of a cost-effective assay for population screening of genetic risk factors in the COVID-19 pandemic.


Subject(s)
COVID-19/genetics , COVID-19/immunology , Genetic Predisposition to Disease , Immunity, Innate , SARS-CoV-2/pathogenicity , Data Mining , Gene Frequency , Genetic Variation , Host Microbial Interactions , Humans , Mannose-Binding Lectin/genetics , Mannose-Binding Lectin/immunology , Polymorphism, Single Nucleotide , Risk Factors , Serine Endopeptidases/genetics , Serine Endopeptidases/immunology , Tumor Necrosis Factor Receptor Superfamily, Member 7/genetics , Tumor Necrosis Factor Receptor Superfamily, Member 7/immunology
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