Evidence map›Paper›PMID 39655425›Full record

ArticleJournal of cellular biochemistry2025

In Silico Hybridization and Molecular Dynamics Simulations for the Identification of Candidate Human MicroRNAs for Inhibition of Virulent Proteins' Expression in Staphylococcus aureus.

Harshita Tiwari, Subhadip Saha, Monidipa Ghosh

Abstract read
In one paragraph

Article in Journal of cellular biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Harshita TiwariDepartment of Biotechnology, National Institute of Technology, Durgapur, India.ORCID 0009-0009-2097-7656
Subhadip SahaDepartment of Biotechnology, National Institute of Technology, Durgapur, India.ORCID 0009-0000-1469-0653
Monidipa GhoshDepartment of Biotechnology, National Institute of Technology, Durgapur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus is a major threat to human health, causing infections that range in severity from moderate to fatal. The rising rates of antibiotic resistance highlight the critical need for new therapeutic techniques to combat this infection. It has been recently discovered that microRNAs (miRNAs) are essential for cross-kingdom communication, especially when it comes to host-pathogen interactions. It has been demonstrated that these short noncoding RNAs control gene expression in the gut microbiota, maintaining homeostasis; dysbiosis in this system has been linked to several diseases, including cancer. Our research attempts to use this understanding to target specific bacterial species and prevent severe diseases. In particular, we look for putative human miRNAs that can attach to virulent bacterial proteins' mRNA and prevent them from being expressed. In-silico hybridization experiments were performed between 100 human miRNA sequences with varied expression levels in gram-positive bacterial infections and five virulence factor genes. In addition, these miRNAs' binding properties were investigated using molecular dynamics (MD) simulations. Our findings demonstrate that human miRNAs can target and inhibit the expression of bacterial virulent genes, thereby opening up new paths for developing innovative miRNA-based therapeutics. The implementation of MD simulations in our study not only improves the validity of our findings but also proposes a new method for constructing miRNA-based therapies against life-threatening bacterial infections.

Indexed as

Bacterial ProteinsGene Expression Regulation, BacterialMicroRNAsMolecular Dynamics SimulationStaphylococcus aureusVirulence FactorsHumansStaphylococcal InfectionsBacterial ProteinsMicroRNAsVirulence FactorsMD simulationsmiRNAvirulent proteins

Identifiers

PMID39655425
PMCPMC11735889

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Registered trials

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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.