Evidence map›Paper›PMID 35521908›Full record

ArticleCell biology international2022

Single nucleotide polymorphisms located in TNFA, IL1RN, IL6R, and IL6 genes are associated with COVID-19 risk and severity in an Iranian population.

Mohsen Rokni, Mohammad Sarhadi, Milad Heidari Nia, Leila Mohamed Khosroshahi, Somaye Asghari, Saman Sargazi, Shekoufeh Mirinejad, Ramin Saravani

Open access · greenAbstract read
In one paragraph

Article in Cell biology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Mohsen RokniDepartment of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0003-0534-4251
Mohammad SarhadiCellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.ORCID http://orcid.org/0000-0002-3766-7664
Milad Heidari NiaCellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.
Leila Mohamed KhosroshahiDepartment of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Somaye AsghariDepartment of Immunology,  Buali Hospital of Laboratory, Zahedan University of Medical Sciences, Zahedan, Iran.
Saman SargaziCellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.ORCID http://orcid.org/0000-0002-2255-5977
Shekoufeh MirinejadCellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.
Ramin SaravaniCellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.
Zahedan University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of Social Welfare and Rehabilitation Sciences · IR

Funding

Zahedan University of Medical Sciences 9859
6 · The paper itself

Abstract

Cytokines play pivotal functions in coronavirus disease 2019 (COVID-19) pathogenesis. However, little is known about the rationale and importance of genetic variations associated with immune system responses, so-called "immunogenetic profiling." We studied whether polymorphisms of IL6, IL6R, TNFA, and IL1RN affect the disorder severity and outcome in patients infected with COVID19. We recruited 317 hospitalized patients with laboratory-confirmed COVID-19 from Bu-Ali hospital and 317 high-risk participants who had high exposure to COVID-19 patients but with a negative real-time-polymerase chain reaction (PCR) test. Multiple regression analyses were applied. We indicated that participants carrying the A allele in TNFA-rs361525, G>A (p < .004), the C allele in IL1RN-rs419598 T>C (p < .004), the A allele in IL6R-rs2228145, A>C (p = .047) are more susceptible to develop COVID-19. In contrast, those who carry the G allele of IL6-rs2069827, G>T (p = .01), are more protected from COVID-19. Also, we compared the various genotypes regarding the disorder severity and poor prognosis; we found that the AA genotype in TNFA is related to more aggressive illness and bad prognostic in contrast to the other inflammatory cytokines' genotypes. In addition, a high level of inflammatory indications, such as neutrophil-to-lymphocyte ratio and systemic immune-inflammation index, was observed in deceased patients compared with the survived subjects (p < .0001). We advised considering inflammatory cytokines polymorphisms as the main item to realize the therapeutic response against the acute respiratory distress syndrome induced by the SARS-CoV-2 virus.

Indexed as

COVID-19Polymorphism, Single NucleotideCytokinesGenetic Predisposition to DiseaseGenotypeHumansInterleukin 1 Receptor Antagonist ProteinInterleukin-6IranReceptors, Interleukin-6SARS-CoV-2Tumor Necrosis Factor-alphaCytokinesIL1RN protein, humanIL6 protein, humanIL6R protein, humanInterleukin 1 Receptor Antagonist ProteinInterleukin-6Receptors, Interleukin-6TNF protein, humanTumor Necrosis Factor-alphaClinical featuresCOVID-19Pathogenesispolymorphismproinflammatory cytokineSARS-CoV-2

Identifiers

PMID35521908
PMCPMC9347541
OpenAlexW4229038713

What OpenQuestion holds

Textmetadata
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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.