Evidence map›Paper›PMID 40940770›Full record

ArticleCells2025

Pharmacoepigenomic Impact of Antihypertensive Drugs on miRNome and Proteome and Its Potential Influence on Health and Side Effects.

Samyukta Bhass, Moinak Banerjee

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Samyukta BhassHuman Molecular Genetics Lab, Neurobiology and Genetics Division, BRIC-Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695014, India.
Moinak BanerjeeHuman Molecular Genetics Lab, Neurobiology and Genetics Division, BRIC-Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram 695014, India.ORCID 0000-0002-0842-0398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antihypertensive drugs are widely used for the treatment of hypertension, and the choice of drug and dosage is based on trial and error. The variability in drug response and adverse reactions leads to the poor adherence to treatment. Epigenetic modulation is one of the major mechanisms that may contribute to the variability in drug responses, and microRNAs (miRNAs) can serve as crucial epigenetic regulators and have also been reported to be associated with hypertension pathogenesis. The objective of this study is to investigate the regulatory effects of commonly used antihypertensive drugs on the endothelial miRNome in human aortic endothelial cells. We aim to integrate miRNA expression data with proteomic analyses to elucidate drug-induced molecular mechanisms relevant to hypertension treatment. Whole genome small RNA sequencing was performed, followed by whole proteome analysis using LC-MS/MS comparing between control and treated samples. The treatments induced significant differential regulation of several miRNAs and proteins; among these, a few reflected reverse relationships with miRNA regulation and protein expression. Certain miRNAs and their corresponding target proteins seem to distinguish between good therapeutic outcomes and potential side effects. This study unravels the potential role of drug-induced miRNAs in inducing post-transcriptional modifications to cause the differential expression of certain proteins that may induce not only therapeutic effects or drug side effects but can also indicate the potential for drug-repurposing in other diseases.

Indexed as

Antihypertensive AgentsMicroRNAsPharmacogeneticsProteomeEndothelial CellsGene Expression RegulationHumansHypertensionProteomicsAntihypertensive AgentsMicroRNAsProteomeadverse effectsantihypertensive drugshypertensionmicroRNApharmacoepigeneticsphenotype

Identifiers

PMID40940770
PMCPMC12428730

What Socratic holds

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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 Socratic graph.