Abnormal Lipid Signaling Characterizes Diastolic Dysfunction in Pediatric Cardiomyopathy

Pediatric cardiomyopathy is a major cause of diastolic heart failure; yet, its mechanisms remain unclear. Global myocardial transcriptomic and blood lipidomic profiling revealed a distinct metabolic signature of diastolic dysfunction marked by dysregulated lipid signaling. A machine learning model using these gene markers accurately classified diastolic dysfunction across cardiomyopathy subtypes. Lipidomic changes included excess saturated lipids and impaired oxidation that correlated with myocardial gene expression. Induced pluripotent stem cell cardiomyocytes from patients with diastolic dysfunction exhibited lipid accumulation, and mitochondrial dysfunction that was rescued by semaglutide. These findings define a new molecular phenotype of diastolic dysfunction and point to abnormal lipid signaling as a promising therapeutic target in childhood cardiomyopathy.

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Publication Details

Journal
JACC Basic to Translational Science
Published
2026-02-17
DOI
https://doi.org/10.1016/j.jacbts.2026.101491
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
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article

Abnormal Lipid Signaling Characterizes Diastolic Dysfunction in Pediatric Cardiomyopathy

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JACC Basic to Translational Science
Cardiovascular Function and Risk Factors
article

Abnormal Lipid Signaling Characterizes Diastolic Dysfunction in Pediatric Cardiomyopathy

Rajadurai Akilen, Caroline Daneault, Andrei L. Turinsky, Caroline Kinnear, Luc Mertens, Abdelrahman Said, Robert Lesurf, Isabelle Robillard Frayne, Seema Mital, José Luis López-Guillén, Wei Wei, James Ellis, Matthieu Ruiz, Nour Hanafi, Guoliang Meng, Suhani Patel
article en

Abstract

Pediatric cardiomyopathy is a major cause of diastolic heart failure; yet, its mechanisms remain unclear. Global myocardial transcriptomic and blood lipidomic profiling revealed a distinct metabolic signature of diastolic dysfunction marked by dysregulated lipid signaling. A machine learning model using these gene markers accurately classified diastolic dysfunction across cardiomyopathy subtypes. Lipidomic changes included excess saturated lipids and impaired oxidation that correlated with myocardial gene expression. Induced pluripotent stem cell cardiomyocytes from patients with diastolic dysfunction exhibited lipid accumulation, and mitochondrial dysfunction that was rescued by semaglutide. These findings define a new molecular phenotype of diastolic dysfunction and point to abnormal lipid signaling as a promising therapeutic target in childhood cardiomyopathy.

JACC Basic to Translational ScienceVol. 11(3)
University of Toronto (CA), Montreal Heart Institute (CA), Hospital for Sick Children (CA), SickKids Foundation (CA)
Good health and well-being
Openalex Percentile: Top 55%
Cardiovascular Function and Risk Factors
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