ACE I/D polymorphism in Czech first-wave SARS-CoV-2-positive survivors.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 27 04 2021
revised: 29 04 2021
accepted: 29 04 2021
pubmed: 7 5 2021
medline: 22 6 2021
entrez: 6 5 2021
Statut: ppublish

Résumé

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rapidly spread from China in 2019/2020 to all continents. Significant geographical and ethnic differences were described, and host genetic background seems to be important for the resistance to and mortality of COVID-19. Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism (rs4646994) is one of the candidates with the potential to affect infection symptoms and mortality. In our study, we successfully genotyped 408 SARS-CoV-2-positive COVID-19 survivors (163 asymptomatic and 245 symptomatic) and compared them with a population-based DNA bank of 2,559 subjects. The frequency of ACE I/I homozygotes was significantly increased in COVID-19 patients compared with that in controls (26.2% vs. 21.2%; P = 0.02; OR [95% CI] = 1.55 [1.17-2.05]. Importantly, however, the difference was driven just by the symptomatic subjects (29.0% vs. 21.2% of the I/I homozygotes; P = 0.002; OR [95% CI] = 1.78 [1.22-2.60]). The genotype distribution of the ACE genotypes was almost identical in population controls and asymptomatic SARS-CoV-2-positive patients (P = 0.76). We conclude that ACE I/D polymorphism could have the potential to predict the severity of COVID-19, with I/I homozygotes being at increased risk of symptomatic COVID-19.

Sections du résumé

BACKGROUND BACKGROUND
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) rapidly spread from China in 2019/2020 to all continents. Significant geographical and ethnic differences were described, and host genetic background seems to be important for the resistance to and mortality of COVID-19. Angiotensin-converting enzyme (ACE) insertion/deletion (I/D) polymorphism (rs4646994) is one of the candidates with the potential to affect infection symptoms and mortality.
METHODS METHODS
In our study, we successfully genotyped 408 SARS-CoV-2-positive COVID-19 survivors (163 asymptomatic and 245 symptomatic) and compared them with a population-based DNA bank of 2,559 subjects.
RESULTS RESULTS
The frequency of ACE I/I homozygotes was significantly increased in COVID-19 patients compared with that in controls (26.2% vs. 21.2%; P = 0.02; OR [95% CI] = 1.55 [1.17-2.05]. Importantly, however, the difference was driven just by the symptomatic subjects (29.0% vs. 21.2% of the I/I homozygotes; P = 0.002; OR [95% CI] = 1.78 [1.22-2.60]). The genotype distribution of the ACE genotypes was almost identical in population controls and asymptomatic SARS-CoV-2-positive patients (P = 0.76).
CONCLUSIONS CONCLUSIONS
We conclude that ACE I/D polymorphism could have the potential to predict the severity of COVID-19, with I/I homozygotes being at increased risk of symptomatic COVID-19.

Identifiants

pubmed: 33957095
pii: S0009-8981(21)00149-2
doi: 10.1016/j.cca.2021.04.024
pmc: PMC8091801
pii:
doi:

Substances chimiques

Peptidyl-Dipeptidase A EC 3.4.15.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

206-209

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

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Auteurs

Jaroslav A Hubacek (JA)

Experimental Medicine Center, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague, Czech Republic. Electronic address: jahb@ikem.cz.

Ladislav Dusek (L)

Institute of Health Information and Statistics of the Czech Republic, Palackeho namesti 4, Prague, Czech Republic; Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Kamenice753/5, Brno, Czech Republic.

Ondrej Majek (O)

Institute of Health Information and Statistics of the Czech Republic, Palackeho namesti 4, Prague, Czech Republic; Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Kamenice753/5, Brno, Czech Republic.

Vaclav Adamek (V)

Czech Technical University, Faculty of Biomedical Engineering, Sítná 3105, Kladno, Czech Republic.

Tereza Cervinkova (T)

Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague, Czech Republic.

Dana Dlouha (D)

Experimental Medicine Center, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague, Czech Republic.

Vera Adamkova (V)

Czech Technical University, Faculty of Biomedical Engineering, Sítná 3105, Kladno, Czech Republic; Department of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Videnska 1958/9, Prague, Czech Republic.

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