Evidence map›Paper›PMID 38460087›Full record

ArticleBiochemical genetics2025

In Silico Prediction of Functional SNPs Interrupting Antioxidant Defense Genes in Relation to COVID-19 Progression.

Somayeh Hashemi Sheikhshabani, Soudeh Ghafouri-Fard, Zeinab Amini-Farsani, Parastoo Modarres, Sharareh Khazaei Feyzabad, Zahra Amini-Farsani, Nasibeh Shaygan, Mir Davood Omrani

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Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Somayeh Hashemi SheikhshabaniStudent Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soudeh Ghafouri-FardStudent Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zeinab Amini-FarsaniDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Parastoo ModarresDepartment of Cell and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
Sharareh Khazaei FeyzabadDepartment of Laboratory Sciences, School of Paramedical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran.
Zahra Amini-FarsaniBayesian Imaging and Spatial Statistics Group, Institute of Statistics, Ludwig-Maximilian-Universität München, Ludwigstraße 33, 80539, Munich, Germany.
Nasibeh ShayganDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mir Davood OmraniDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. davood40@hotmail.com.
Shahid Beheshti University of Medical Sciences · IRUniversity of Isfahan · IRZahedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The excessive production of reactive oxygen species and weakening of antioxidant defense system play a pivotal role in the pathogenesis of different diseases. Extensive differences observed among individuals in terms of affliction with cancer, cardiovascular disorders, diabetes, bacterial, and viral infections, as well as response to treatments can be partly due to their genomic variations. In this work, we attempted to predict the effect of SNPs of the key genes of antioxidant defense system on their structure, function, and expression in relation to COVID-19 pathogenesis using in silico tools. In addition, the effect of SNPs on the target site binding efficiency of SNPs was investigated as a factor with potential to change drug response or susceptibility to COVID-19. According to the predicted results, only six missense SNPs with minor allele frequency (MAF) ≥ 0.1 in the coding region of genes GPX7, GPX8, TXNRD2, GLRX5, and GLRX were able to strongly affect their structure and function. Our results predicted that 39 SNPs with MAF ≥ 0.1 led to the generation or destruction of miRNA-binding sites on target antioxidant genes from GPX, PRDX, GLRX, TXN, and SOD families. The results obtained from comparing the expression profiles of mild vs. severe COVID-19 patients using GEO2R demonstrated a significant change in the expression of approximately 250 miRNAs. The binding efficiency of 21 of these miRNAs was changed due to the elimination or generation of target sites in these genes. Altogether, this study reveals the fundamental role of the SNPs of antioxidant defense genes in COVID-19 progression and susceptibility of individuals to this virus. In addition, different responses of COVID-19 patients to antioxidant defense system enhancement drugs may be due to presence of these SNPs in different individuals.

Indexed as

AntioxidantsCOVID-19Polymorphism, Single NucleotideComputer SimulationDisease ProgressionGene FrequencyGenetic Predisposition to DiseaseGlutathione PeroxidaseHumansMicroRNAsSARS-CoV-2AntioxidantsGlutathione PeroxidaseMicroRNAsAntioxidant defenseBioinformaticsCOVID-19miRNA (microRNA)SNP

Identifiers

PMID38460087
OpenAlexW4392625005

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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.