Evidence map›Paper›PMID 35091110›Full record

Observational studyInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2022

Allele С (rs5186) of at1r is associated with the severity of COVID-19 in the Ukrainian population.

O Izmailova, O Shlykova, A Vatsenko, D Ivashchenko, M Dudchenko, T Koval, I Kaidashev

Open access · goldAbstract readComparative StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

O IzmailovaPoltava State Medical University, Poltava, Ukraine.
O ShlykovaPoltava State Medical University, Poltava, Ukraine.
A VatsenkoPoltava State Medical University, Poltava, Ukraine.
D IvashchenkoPoltava State Medical University, Poltava, Ukraine.
M DudchenkoPoltava State Medical University, Poltava, Ukraine.
T KovalPoltava State Medical University, Poltava, Ukraine.
I KaidashevPoltava State Medical University, Poltava, Ukraine. Electronic address: inst.genimmun@pdmu.edu.ua.
Poltava State Medical UniversityPoltava V.G. Korolenko National Pedagogical University · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe severity of SARS-CoV-2 induced coronavirus disease 19 (COVID-19) depends on the presence of risk factors and the hosts' gene variability. There are preliminary results that gene polymorphisms of the renin-angiotensin system can influence the susceptibility to and mortality from COVID-19. Angiotensin II type 1 receptor (AT1R) might be a gene candidate that exerts such influence. The aim of this study was to elaborate on the association between A1166C at1r polymorphic variants and the susceptibility to and severity of COVID-19 in the Ukrainian population.

methodsThe study population consisted of the Ukrainian population (Poltava region) with COVID-19, divided into three clinical groups in accordance with oxygen requirement: patients without oxygen therapy (n = 110), with non-invasive (n = 136) and invasive (n = 36) oxygen therapy. The A1166C polymorphism of the at1r was determined by polymerase chain reaction with subsequent restrictase analysis. In an attempt to better explain the role of the A1166C at1r polymorphism we compared its association with COVID-19, essential hypertension (n = 79), renoparenchimal hypertension (n = 30) and dyscirculatory encephalopathy (n = 112). The data for this comparison were obtained by meta-analysis.

resultsWe observed significant differences in the frequency of AA, AC and CC genotypes in the groups of COVID-19 patients with non-invasive and invasive oxygen therapy in comparison with control subjects as well as in the frequency of combined AC + CC genotype between the groups of COVID-19 patients with any types of oxygen therapy and patients without oxygen therapy. The frequency of the 1166C allele was higher in COVID-19 patients with invasive oxygen therapy (OR = 2.06; CI (1.20-3.53); p = 0.013). We obtained important results indicating that there were no differences between the frequency of at1r polymorphisms in patients with cardiovascular disease and severe COVID-19 with invasive oxygen therapy as well as those who died due to COVID-19.

conclusionOur study indicated the presence of an association between the A1166C at1r polymorphisms and the severity of COVID-19 in the Ukrainian population. It seems that in carriers of 1166C at1r, the severity of COVID-19 and oxygen dependency is higher as compared to the A allele carriers, possibly, due to cardiovascular disorders.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideSeverity of Illness IndexAdultAllelesCOVID-19FemaleGenotypeHumansMaleMiddle AgedReceptor, Angiotensin, Type 1Respiration, ArtificialRisk FactorsSARS-CoV-2UkraineReceptor, Angiotensin, Type 1Angiotensin II type 1 receptorCOVID-19GenePolymorphismSARS-CoV-2

Identifiers

PMID35091110
PMCPMC8788158
OpenAlexW4206989217

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.