Evidence map›Paper›PMID 40661146›Full record

ArticleFrontiers in cell and developmental biology2025

Interaction networks among miRNA, protein, and metabolite fingerprints identify the regulatory networks and key players in the pathogenesis of diabetic cardiomyopathy.

Bhaswati Chatterjee, Suman S Thakur

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Bhaswati ChatterjeeNational Institute of Animal Biotechnology (NIAB), Hyderabad, India.
Suman S ThakurProteomics and Cell Signaling, Centre for Cellular and Molecular Biology, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a complication of diabetes and is the main cause of death in diabetic patients. The regulatory networks and key players involved in the pathogenesis of diabetic cardiomyopathy are not clearly known. We selected the miRNA, protein, and metabolite fingerprints that play a significant role in DCM and manually constructed miRNA-protein-metabolite interaction networks from the miRNA-protein and protein-metabolite interaction networks. Furthermore, protein-protein, metabolite-metabolite, and protein-metabolite interaction networks were also constructed. The miRNA-protein interaction included evidence from TarBase and microarrays/HITS-CLIP. The protein-protein, metabolite-metabolite, and protein-metabolite interaction networks were obtained at high confidence scores (≥0.7 or 70%). We proposed that the miRNA-protein-metabolite interaction networks along with their intra- and inter-connected protein-protein, metabolite-metabolite, and protein-metabolite interaction networks formed by miRNA, protein, and metabolite fingerprints such as hsa-mir-122-5p, hsa-mir-30c-5p, hsa-mir-30d-5p, hsa-mir-22-3p, IL6, GSTM2, GPX3, ACADM, GSTM3, LEP, ADIPOQ, INS, CASP1, NLRP3, HADH, ACAT1, PRDX2, PRDX1, TNF, ELAVL1, SERPINA1, A2M, IGFBP7, PRDX6, APOA1, APCS, NPPA, ADAM9, GDF15, ACADVL, ECH1, FGL1, bilirubin, butyric acid (butyrate), octanoylcarnitine (octanoylcarnit.), isoleucine, leucine, alanine, glutamine, L-valine, cytidine triphosphate (ara-CTP), 7-keto-8-aminopelargonic acid (7-keto-8-amino.), creatinine, decanoylcarnitine (decanoylcarnit.), and hexanoylcarnitine (hexanoylcarnit.) are the key players and regulatory networks involved in the pathogenesis of DCM. Notably, we also proposed that the interaction networks formed by miRNA, protein, and metabolite fingerprints involved in the early stage of DCM, such as hsa-mir-122-5p, IL6, FGL1, LEP, ADIPOQ, INS, TNF, IGFBP7, GDF15, GPX3, NPPA, bilirubin, butyric acid (butyrate), and creatinine, are the potential biomarkers and therapeutic targets for the early stage of DCM. To the best of our knowledge, this is the first study of the construction of miRNA-protein-metabolite interactomes in DCM, providing insights into the pathogenesis of DCM.

Indexed as

metabolitesmiRNA–protein interactionmiRNA–protein–metabolite interaction networkmiRNAsprotein–metabolite interactionproteins

Identifiers

PMID40661146
PMCPMC12256442

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