Evidence map›Paper›PMID 42162444›Full record

ArticleJournal of applied genetics2026

miRNA-mRNA network analysis reveals novel post-transcriptional regulators and therapeutic targets in coronary artery disease.

Prasmita Paul, Om Saswat Sahoo, Rajiv Narang, Abhishesh Kumar Badal, Arnab Nayek, Ruby Dhar, Oindrilla Mukherjee, Satyavir Yadav, Subhradip Karmakar

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Article in Journal of applied genetics, 2026. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Prasmita PaulDepartment of Biotechnology, National Institute of Technology Durgapur, Durgapur, West Bengal, India.
Om Saswat SahooDepartment of Biochemistry, All India Institute of Medical Sciences New Delhi, New Delhi, India.
Rajiv NarangDepartment of Cardiology, All India Institute of Medical Sciences New Delhi, New Delhi, India.
Abhishesh Kumar BadalDepartment of Biochemistry, All India Institute of Medical Sciences New Delhi, New Delhi, India.
Arnab NayekDepartment of Biochemistry, All India Institute of Medical Sciences New Delhi, New Delhi, India.
Ruby DharDepartment of Biochemistry, All India Institute of Medical Sciences New Delhi, New Delhi, India.
Oindrilla MukherjeeDepartment of Biotechnology, National Institute of Technology Durgapur, Durgapur, West Bengal, India.
Satyavir YadavDepartment of Cardiology, All India Institute of Medical Sciences New Delhi, New Delhi, India. drsatyaviryadav87@gmail.com.
Subhradip KarmakarDepartment of Biochemistry, All India Institute of Medical Sciences New Delhi, New Delhi, India. subhradip.k@aiims.edu.ORCID http://orcid.org/0000-0002-4757-8729

Funding

Department of Health Research Department of Health Research
6 · The paper itself

Abstract

Coronary artery disease (CAD) remains one of the leading causes of mortality worldwide, driven by complex gene regulatory mechanisms. Non coding RNAs such as microRNAs (miRNAs) act as pivotal regulators of CAD pathogenesis. This study employed a multi-omics in silico approach to uncover microRNA (miRNA)-mediated regulatory networks in CAD. Differentially expressed miRNAs were identified from patient cohorts and mapped to target genes. Overlapping common genes (OCGs) between predicted targets and CAD-associated DEGs were used to construct a regulatory network. Hub miRNAs were prioritized, identifying 20 key regulators, including 11 novel hub-level regulatory candidates not previously prioritized as master regulators in integrated CAD miRNA network analyses. Functional enrichment confirmed the involvement of these OCGs in atherosclerosis and cardiomyopathy. A competing endogenous miRNA-lncRNA network was built to explore multi-layered regulation. Possible drug targets were analyzed to assess therapeutic potential for the results. This integrative pipeline offers insights into miRNA-driven CAD mechanisms and highlights novel biomarkers and targets for clinical implementation.

Indexed as

Coronary artery disease (CAD)Differential expressionDrugsHub miRNALong non-coding RNAmiRNANetwork analysis

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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.