Evidence map›Paper›PMID 40366340›Full record

ArticleJournal of cellular and molecular medicine2025

HLA Polymorphisms and COVID-19 Susceptibility and Severity: Insights From an Iranian Patients Cohort.

Pooria Hakimi, Kasra Arbabi Zaboli, Mohammadreza Golbabapour-Samakoush, Susan Azizimohammadi, Fatemeh Soleimani, Mohammad Hosein Salmani, Ladan Teimoori-Toolabi

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Pooria HakimiMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Kasra Arbabi ZaboliMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Mohammadreza Golbabapour-SamakoushMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Susan AzizimohammadiHajar Hospital, Tehran, Iran.
Fatemeh SoleimaniMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Mohammad Hosein SalmaniHajar Hospital, Tehran, Iran.
Ladan Teimoori-ToolabiMolecular Medicine Department, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.ORCID 0000-0002-6588-9774

Funding

National Institute of Medical Research Development (NIMAD) IR.NIMAD.REC.1399.088
6 · The paper itself

Abstract

The HLA system is a crucial immune response component against infectious agents, including SARS-CoV-2. Certain polymorphisms may impart varying levels of protection or vulnerability to COVID-19. This research aims to understand the possible relationship between HLA polymorphisms and the susceptibility to COVID-19 and its severity. We recruited 290 hospitalised Iranian COVID-19 patients (130 severe and 160 moderate). Using PCR-SSP methods, we conducted a detailed analysis of polymorphisms in HLA class I (HLA-A, HLA-B, and HLA-C) and II (HLA-DRB1 and HLA-DQB1) molecules at low resolution. The study found that certain HLA alleles, including HLA-B*49, HLA-B*52, HLA-C*12, HLA-DRB1*04, and HLA-DQB1*05, were associated with disease susceptibility. Additionally, HLA-A*23, DRB1*10, and DRB1*13 were indicators of disease severity. The study also noted that individuals carrying the HLA-A*23 allele showed a significant decrease in lymphocyte levels and an elevated likelihood of developing thrombosis. We hypothesise that a maladaptive immune response may occur based on these findings. This might be due to the strong affinity of the HLA-A*23 allele group for presenting a wide range of SARS-CoV-2 peptides. Such a presentation possibly leads to a cytokine storm, followed by lymphocyte apoptosis and an increase in platelet count.

Indexed as

COVID-19Genetic Predisposition to DiseaseHLA AntigensPolymorphism, GeneticAdultAgedAllelesCohort StudiesFemaleHLA-DRB1 ChainsHumansIranMaleMiddle AgedSARS-CoV-2Severity of Illness IndexHLA AntigensHLA-DRB1 ChainsCOVID‐19HLA‐A antigensHLA‐B antigensHLA‐C antigensHLA‐DR antigens

Identifiers

PMID40366340
PMCPMC12077277

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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.