Evidence map›Paper›PMID 41258252›Full record

ArticleScientific reports2025

MicroRNA-driven evolutionary pressure in SARS-CoV-2: the role of hsa-miR-6512 in mutational dynamics.

Pegah Razban, Mahya Mehrmohamadi, Mahdi Karimi, Fatemeh Saadatpour, Ehsan Arefian

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Pegah RazbanDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
Mahya MehrmohamadiDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran. mehrmohamadi@ut.ac.ir.
Mahdi KarimiDepartment of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Fatemeh SaadatpourDepartment of Microbiology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Ehsan ArefianDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran. arefian@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 pandemic, first reported as an acute respiratory disease in December 2019 in Wuhan, China, has profoundly impacted global communities, with approximately seven million deaths reported by the World Health Organization to date. Coronaviruses exhibit a high recombination rate due to RNA-dependent RNA polymerase transcription errors, resulting in mutations that are selectively conserved under evolutionary pressures and transmitted to subsequent generations. In this study, we investigated the role of host microRNAs (miRs) in exerting evolutionary pressures on SARS-CoV-2. We identified miRNAs binding to the Wuhan strain genome and compared their binding regions with mutated strains. Our bioinformatics analysis revealed a significant number of conserved mutations within the seed regions of microRNA binding sites in the later variants. For functional validation, we focused on hsa-miR-6512, targeting the Wuhan strain’s surface glycoprotein gene (S). This miRNA’s binding site is lost in later variants, including Alpha, and this mutation was conserved across Beta, Gamma, Mu, and Omicron. Expression of hsa-miR-6512 was assessed, and its interaction with the S gene was compared between Wuhan and Omicron strains. Our findings suggest that miRNA–genome interactions may influence the evolutionary trajectory of SARS-CoV-2 and propose miRNAs as promising targets for therapeutic strategies.

Indexed as

MicroRNAsMutationSARS-CoV-2Binding SitesCOVID-19Evolution, MolecularGenome, ViralHumansPandemicsSpike Glycoprotein, CoronavirusMicroRNAsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Conserved mutationhsa-miR-6512MicroRNASARS-CoV-2

Identifiers

PMID41258252
PMCPMC12630704

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.