Evidence map›Paper›PMID 40437600›Full record

ArticleEuropean journal of medical research2025

Identification of a rare variant in TNNT3 responsible for familial dilated cardiomyopathy through whole-exome sequencing and in silico analysis.

Motahareh Jadidi, Vida Babaali, Kolsoum InanlooRahatloo, Najmeh Salehi, Reza Mollazadeh

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Article in European journal of medical research, 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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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Frontiers in cell and developmental biology · 2026
    Review
  2. Discovery ofDiagnostics (Basel, Switzerland) · 2025
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Motahareh Jadidi *Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Vida Babaali *Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Kolsoum InanlooRahatlooDepartment of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran. inanloo@ut.ac.ir.
Najmeh SalehiDepartment of Applied Biological Sciences, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Reza MollazadehDepartment of Cardiology, School of Medicine, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.

Funding

Iran National Science Foundation 98007928
6 · The paper itself

Abstract

backgroundDilated cardiomyopathy (DCM) is a prevalent etiology of heart failure, distinguished by the gradual and frequently irreversible myocardial muscle impairment. Roughly 50% of DCM occurrences stem from hereditary rare variants. In this study, our aim was to identify the genetic cause of DCM in a pedigree with several affected individuals across four generations.

methodsWhole exome sequencing was performed on the proband, with variants filtered and analyzed using in silico tools. Co-segregation analysis was conducted using Sanger sequencing. Protein structure modeling and protein-protein interaction evaluations were performed using AlphaFold3 and HADDOCK2.4, respectively.

resultsWe identified a missense rare variant in the TNNT3 gene, leading to the p.Glu125Gly alteration in the Troponin T3 (TNNT3). This rare variant is strongly implicated as the causative factor for DCM in the pedigree. Several key factors underscore its significance: the rare variant co-segregates with the disease in the pedigree, is absent in 850 control samples, alters a conserved amino acid, is predicted to detrimentally affect protein function, and results in structural changes.

conclusionsOur findings suggest that TNNT3 rare variants can induce DCM by weakening the binding energy between TNNT3 and Tropomyosin (TPM), leading to functional deficiencies in muscle contraction, as demonstrated by our structural modeling and docking studies. Troponin T is essential for the proper contraction of striated muscles and is related to cardiac development. Bioinformatics investigations have elucidated the involvement of TNNT3-related pathways, notably the Striated Muscle Contraction pathway and Cardiac Conduction. TNNT3 resides within loci previously implicated in cardiomyopathy. Given its crucial role in muscle contractile function, rare variants in TNNT3 hold the potential to be a significant contributing factor in the pathogenesis of DCM. A wealth of literature substantiates the correlation between troponin T and cardiac disorders. Our findings further corroborate this association.

Indexed as

Cardiomyopathy, DilatedTroponin TAdultComputer SimulationExome SequencingFemaleHumansMaleMiddle AgedMutation, MissensePedigreeTroponin TDCMDilated cardiomyopathyTNNT3Troponin TWhole-exome sequencing

Identifiers

PMID40437600
PMCPMC12117963

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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.