Evidence map›Paper›PMID 37328914›Full record

ArticleHuman genomics2023

The impact of ACE2 polymorphisms (rs1978124, rs2285666, and rs2074192) and ACE1 rs1799752 in the mortality rate of COVID-19 in different SARS-CoV-2 variants.

Farzaneh Sheikhian, Sahar Sadeghi Mofrad, Samira Tarashi, Morteza Ghazanfari Jajin, Fatemeh Sakhaee, Iraj Ahmadi, Enayat Anvari, Mojgan Sheikhpour, Abolfazl Fateh

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Polymorphisms in the ACE I/D (Tropical medicine and infectious disease · 2024
    Article
  8. Association ofViruses · 2024
    Article
  9. Article
  10. Article
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

9 authors at 4 institutions in 1 country.

Farzaneh Sheikhian *Department of Biology, Parand Branch, Islamic Azad University, Parand, Iran.
Sahar Sadeghi Mofrad *Department of Microbiology, Islamic Azad University of Central Tehran Branch, Tehran, Iran.
Samira TarashiDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Morteza Ghazanfari JajinDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh SakhaeeDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Iraj AhmadiDepartment of Physiology, School of Medicine, Ilam University of Medical Science, Ilam, Iran.
Enayat AnvariClinical Research Development Unit, Shahid Mostafa Khomeini Hospital, Ilam University of Medical Science, Ilam, Iran.
Mojgan SheikhpourDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Abolfazl FatehDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran. afateh2@gmail.com.
Pasteur Institute of Iran · IRIlam University · IRIslamic Azad University Central Tehran Branch · IRIslamic Azad University of Parand · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outcomes could be influenced by genetic polymorphisms in angiotensin I-converting enzyme (ACE1) and ACE2. This study aims to examine three polymorphisms (rs1978124, rs2285666, and rs2074192) on the ACE2 gene and ACE1 rs1799752 (I/D) in patients who have coronavirus disease 2019 (COVID-19) with various SARS-CoV-2 variants.

methodsBased on polymerase chain reaction-based genotyping, four polymorphisms in the ACE1 and ACE2 genes have been identified in 2023 deceased patients and 2307 recovered patients.

resultsThe ACE2 rs2074192 TT genotype was associated with the COVID-19 mortality in all three variants, whereas the CT genotype was associated with the Omicron BA.5 and Delta variants. ACE2 rs1978124 TC genotypes were related to COVID-19 mortality in the Omicron BA.5 and Alpha variants, but TT genotypes were related to COVID-19 mortality in the Delta variant. It was found that ACE2 rs2285666 CC genotypes were associated with COVID-19 mortality in Delta and Alpha variants, and CT genotypes in Delta variants. There was an association between ACE1 rs1799752 DD and ID genotypes in the Delta variant and COVID-19 mortality, whereas there was no association in the Alpha or Omicron BA.5 variants. In all variants of SARS-CoV-2, CDCT and TDCT haplotypes were more common. In Omicron BA.5 and Delta, CDCC and TDCC haplotypes were linked with COVID-19 mortality. In addition to COVID-19 mortality, the CICT, TICT, and TICC were significantly correlated.

conclusionThe ACE1/ACE2 polymorphisms had an impact on COVID-19 infection, and these polymorphisms had different effects in various SARS-CoV-2 variants. To confirm these results, however, more research needs to be conducted.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19SARS-CoV-2HumansPeptidyl-Dipeptidase APolymorphism, GeneticACE2 protein, humanACE protein, humanAngiotensin-Converting Enzyme 2Peptidyl-Dipeptidase AACE1 rs1799752ACE2 polymorphismsCOVID-19SARS-CoV-2 variants

Identifiers

PMID37328914
PMCPMC10273585
OpenAlexW4380988714

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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.