Evidence map›Paper›PMID 34458641›Full record

ReviewHeliyon2021

Host gene variability and SARS-CoV-2 infection: A review article.

I Kaidashev, O Shlykova, O Izmailova, O Torubara, Ya Yushchenko, T Tyshkovska, V Kyslyi, A Belyaeva, D Maryniak

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Association ofDiseases (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Allele С (rs5186) of at1r is associated with the severity of COVID-19 in the Ukrainian population.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Observational
  14. Article
  15. Article
  16. Review
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 2 institutions in 1 country.

I KaidashevPoltava State Medical University, Poltava, Ukraine.
O ShlykovaPoltava State Medical University, Poltava, Ukraine.
O IzmailovaPoltava State Medical University, Poltava, Ukraine.
O TorubaraPoltava State Medical University, Poltava, Ukraine.
Ya YushchenkoPoltava State Medical University, Poltava, Ukraine.
T TyshkovskaPoltava State Medical University, Poltava, Ukraine.
V KyslyiPoltava State Medical University, Poltava, Ukraine.
A BelyaevaPoltava State Medical University, Poltava, Ukraine.
D MaryniakPoltava State Medical University, Poltava, Ukraine.
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

SARS-CoV-2 is a global threat that influenced healthcare systems around the world. This virus caused an infection in humans with different clinical signs and syndromes, severity, and mortality. The key components of the COVID-19 molecular pathogenesis are coronavirus entry and replication, antigen presentation, humoral and cellular immunity, cytokine storm, coronavirus immune evasion. The analysis of recent literature displayed possible molecular targets in the key components of the COVID-19 pathogenesis. Some of these targets might have gene polymorphisms that influenced the COVID-19 course. Unfortunately, several findings are still putative or extrapolated from SARS and MERS experimental investigations or clinical trials. We systematised original data about gene polymorphisms of possible molecular targets and associations with the COVID-19 course. Most data were obtained for angiotensin-converting enzymes 1 and 2, TMPRSS2 gene polymorphisms. Only a few results were found for gene polymorphisms of adhesion molecules, interferon system components, cytokines, and transcriptional factors, oxidative stress and metabolic molecules, as well as haemocoagulation. Understanding the host gene variability and its associations with COVID-19 can provide insights into the disease pathogenesis, individual susceptibility to SARS-CoV-2 infection, severity, complications, and mortality prognosis for the disease. Besides, these data might help in the identification of appropriate targets for intervention.

Indexed as

COVID-19GeneInfectionPathogenesisPolymorphismSARS-CoV-2

Identifiers

PMID34458641
PMCPMC8382593
OpenAlexW3194695680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.