Abstract
Fabry disease is an X-linked lysosomal storage disorder caused by α-galactosidase A deficiency, leading to progressive accumulation of Gb3 and lyso-Gb3 and a complex multisystem phenotype extending beyond substrate storage. Cardiovascular involvement remains the leading cause of morbidity and mortality, yet early detection and risk stratification remain challenging. In this context, a new proteomic study leveraging high-throughput proximity extension assays and machine learning has defined a cardiovascular risk signature in Fabry disease. Differential expression analysis identified widespread proteomic remodeling involving inflammatory signaling, extracellular matrix organization, angiogenesis, and metabolic pathways, supporting a systems-level view of disease pathogenesis. A 10-protein biosignature integrating markers of mitochondrial stress, lysosomal function, vascular remodeling, and immune activation demonstrated the ability to discriminate patients with cardiovascular involvement. Notably, proteins such as GDF15, NT-proBNP, NOS1, CTSF, and TNFRSF11B highlight the interplay between mitochondrial dysfunction, lysosomal impairment, and vascular inflammation. These findings suggest that Fabry cardiomyopathy reflects coordinated dysregulation across metabolic and inflammatory networks and that multi-protein signatures may improve precision phenotyping and cardiovascular risk prediction beyond conventional biomarkers.