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Inflammation in a severe model of dystrophic cardiomyopathy contains a high proportion of T-cells that contribute to onset of pathology

GSE276884 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/26 Platform GPL24247
Summary
Duchenne muscular dystrophy (DMD) is a severe neuromuscular disorder characterized by progressive muscle degeneration and cardiomyopathy leading to heart failure. While the inflammatory environment in dystrophic skeletal muscle has been well-studied, little is known about inflammation in the progression of DMD cardiomyopathy due to the lack of adequate animal models. To address this, we developed the Fiona/dko mouse model, which exhibits severe, isolated dystrophic cardiomyopathy. In this study, we used Fiona/dko mice to characterize the immune cell composition in dystrophic heart and investigated the contribution of T-cells to the onset and progression of cardiac pathology. Flow cytometry analysis revealed that T-cells constitute a significant proportion of the immune cell population in Fiona/dko hearts, in contrast to the predominantly myeloid signature observed in dystrophic skeletal muscle. Furthermore, we demonstrated that T-cell infiltration precedes the development of cardiac fibrosis and dysfunction in Fiona/dko mice and that depletion of circulating CD3+ T-cells ameliorates early pathology, suggesting a role for T-cells in the initiation and persistence of dystrophic cardiomyopathy. These findings highlight the distinct inflammatory environment in the dystrophic heart and provide new insights into the pathogenesis of DMD cardiomyopathy, paving the way for the development of targeted anti-inflammatory therapies.
Published in
Inflammation in a severe model of dystrophic cardiomyopathy contains a high proportion of T cells that contribute to onset of pathology
Piepho AB, Krishna S, Sturgill SL et al. · American journal of physiology. Heart and circulatory physiology 2026 · PMID 41494655 · doi:10.1152/ajpheart.00337.2025
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Also filed as BioProject PRJNA1159333 and SRA study SRP531909. Searching any of these in the dataset finder brings you back here.

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