{"title":"法布里病的蛋白质组学图谱确定了整合线粒体和溶酶体途径的精确心血管风险信号。","authors":"Gaetano Santulli, Shivangi Pande, Fahimeh Varzideh","doi":"10.1007/s00109-026-02682-w","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":520678,"journal":{"name":"Journal of molecular medicine (Berlin, Germany)","volume":"104 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A proteomic atlas phenotyping Fabry disease identifies a precise cardiovascular risk signature that integrates mitochondrial and lysosomal pathways.\",\"authors\":\"Gaetano Santulli, Shivangi Pande, Fahimeh Varzideh\",\"doi\":\"10.1007/s00109-026-02682-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":520678,\"journal\":{\"name\":\"Journal of molecular medicine (Berlin, Germany)\",\"volume\":\"104 1\",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2026-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular medicine (Berlin, Germany)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00109-026-02682-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular medicine (Berlin, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00109-026-02682-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A proteomic atlas phenotyping Fabry disease identifies a precise cardiovascular risk signature that integrates mitochondrial and lysosomal pathways.
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.