bioRxivPhysiologyPreprint
skNAC is a Key Driver of Cardiomyocyte Integrity Against Pathological Cardiac Hypertrophy and Heart Failure
Laura Guilbert, Justine Dontaine, Natacha Fourny, Ettore VanniiD, Michele RussoiD, Hugo Vanderroost, Jade Dron, Jérôme AmbroiseiD, Hrag Esfahani, Caroline BouziniD, Younès AchouriiD, Emilie HendrickxiD, Nassiba MenghoumiD, B. Bearzatto, D. Vertommen, Laure DumoutieriD, Andreas Unger, Wolfgang Albrecht LinkeiD, Laurent BultotiD, Alice MarinoiD, Sandrine HormaniD, Christophe BeauloyeiD, Luc BertrandiD
Abstract
Chronic pressure overload induces cardiac hypertrophy and heart failure through coordinated alterations in proteome homeostasis, metabolism and sarcomere organisation. The muscle-specific -isoform of the nascent polypeptide-associated complex (skNAC) is essential for sarcomere assembly during development, but its role in adult hearts remains largely unknown. Here, we show that skNAC expression is reduced in hypertrophic cardiomyocytes, mouse models of pressure overload, and human hypertrophic hearts, in association with disease severity. Cardiomyocyte-specific skNAC deletion results in basal hypertrophy, systolic dysfunction, and premature death, and exacerbates pressure overload-induced heart failure. At the molecular level, skNAC associates with ribosomes and is required for sarcomere organisation maintenance, while its loss induces autophagy and ultrastructural defects. Integrated transcriptomic and proteomic analyses reveal early downregulation of metabolic gene expression despite increased abundance of corresponding proteins, indicating compensatory metabolic responses. Gain-of-function studies confirm a protective role against hypertrophy. Together, these data establish skNAC as a key regulator of cardiac proteome homeostasis and metabolic adaptation during pathological remodelling.
- organism: mouse
- organism: human
- assay: proteomics
- assay: metabolomics
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: statistical model
- Citations
- 1
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