RNA cargo profiling of muscle extracellular vesicles identifies candidate biomarkers of disease activity and muscle degeneration in FSHD

Facioscapulohumeral muscular dystrophy (FSHD) is a progressive neuromuscular disorder characterized by high inter- and intra-individual variability in muscle involvement, disease severity, and rate of progression, even among affected relatives. Remarkably, asymptomatic relatives of FSHD patients, referred to as non-penetrant gene carriers, remain clinically unaffected throughout their lives, despite carrying the genetic background sufficient to cause FSHD. The clinical heterogeneity of FSHD, together with the increasing number of clinical trials involving FSHD patients, underscores the urgent need for reliable biomarkers enabling disease monitoring, stratification of patients and evaluation of treatment efficacy. Extracellular vesicles (EVs) have emerged as promising biomarkers since their cargo reflects physiological state of muscle tissue and remains stable into bloodstream. To explore their potential in FSHD, we isolated EVs from ex-vivo muscle explants obtained from a cross-sectional cohort of 22 FSHD patients, 4 non-penetrant gene carriers and 6 healthy controls. EV-RNA cargo was profiled using small RNA and total RNA sequencing. Our exploratory study identified distinct EV-RNA signatures, including microRNA, isomiRs and long transcripts, associated with disease activity, assessed by short-tau inversion recovery signal on magnetic resonance imaging (MRI). Our analyses also identified EV-RNA profiles linked to muscle degeneration, assessed by T1-weighted signal on (MRI). A preliminary investigation of the identified EV-RNA profiles also showed an association with the presence or absence of T1 progression at 2-year MRI follow-up. In this exploratory study, we present a comprehensive characterization of RNA cargo from muscle EVs in FSHD. The identification of EV-RNA signatures linked to disease activity and muscle degeneration supports their evaluation as potential non-invasive biomarkers for disease monitoring, with validation in systemic circulation and in larger cohorts needed to assess their potential contribution to clinical trial design. Moreover, these findings provide novel insights into FSHD disease mechanisms.

Authors

Institutions

Publication Details

Journal
Journal of Translational Medicine
Published
2026-02-25
DOI
https://doi.org/10.1186/s12967-026-07794-y
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RNA cargo profiling of muscle extracellular vesicles identifies candidate biomarkers of disease activity and muscle degeneration in FSHD

Elvira Ragozzino, Lorena Di Pietro, Gurjit Kaur, Luciano Giacò et al.
Journal of Translational Medicine
Muscle Physiology and Disorders
article

RNA cargo profiling of muscle extracellular vesicles identifies candidate biomarkers of disease activity and muscle degeneration in FSHD

Elvira Ragozzino, Lorena Di Pietro, Gurjit Kaur, Luciano Giacò, Sara Bortolani, Eleonora Torchia, Elisa Orecchini, Andrea Sabino, Manuela Papacci, Diego Sibilia, Simona Nanni, Valentina Saccone, Donatella Lucchetti, G. Tasca, Flavia Giacalone, Alberto Augello, Enzo Ricci, Mauro Monforte, Beatrice Ravera, Alessandro Sgambato, Wanda Lattanzi, Andrea Papait, Vincenzo Nigro, Giulia Mantini, Ornella Parolini
article en

Abstract

Facioscapulohumeral muscular dystrophy (FSHD) is a progressive neuromuscular disorder characterized by high inter- and intra-individual variability in muscle involvement, disease severity, and rate of progression, even among affected relatives. Remarkably, asymptomatic relatives of FSHD patients, referred to as non-penetrant gene carriers, remain clinically unaffected throughout their lives, despite carrying the genetic background sufficient to cause FSHD. The clinical heterogeneity of FSHD, together with the increasing number of clinical trials involving FSHD patients, underscores the urgent need for reliable biomarkers enabling disease monitoring, stratification of patients and evaluation of treatment efficacy. Extracellular vesicles (EVs) have emerged as promising biomarkers since their cargo reflects physiological state of muscle tissue and remains stable into bloodstream. To explore their potential in FSHD, we isolated EVs from ex-vivo muscle explants obtained from a cross-sectional cohort of 22 FSHD patients, 4 non-penetrant gene carriers and 6 healthy controls. EV-RNA cargo was profiled using small RNA and total RNA sequencing. Our exploratory study identified distinct EV-RNA signatures, including microRNA, isomiRs and long transcripts, associated with disease activity, assessed by short-tau inversion recovery signal on magnetic resonance imaging (MRI). Our analyses also identified EV-RNA profiles linked to muscle degeneration, assessed by T1-weighted signal on (MRI). A preliminary investigation of the identified EV-RNA profiles also showed an association with the presence or absence of T1 progression at 2-year MRI follow-up. In this exploratory study, we present a comprehensive characterization of RNA cargo from muscle EVs in FSHD. The identification of EV-RNA signatures linked to disease activity and muscle degeneration supports their evaluation as potential non-invasive biomarkers for disease monitoring, with validation in systemic circulation and in larger cohorts needed to assess their potential contribution to clinical trial design. Moreover, these findings provide novel insights into FSHD disease mechanisms.

Journal of Translational MedicineVol. 24(1)
Università Cattolica del Sacro Cuore (IT), Casa Sollievo della Sofferenza (IT), Newcastle upon Tyne Hospitals NHS Foundation Trust (GB), Agostino Gemelli University Polyclinic (IT), University of Campania "Luigi Vanvitelli" (IT), Telethon Institute Of Genetics And Medicine (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Newcastle University (GB)
Università Cattolica del Sacro Cuore, Ministero dell'Università e della Ricerca
Good health and well-being
Openalex Percentile: Top 43%
Muscle Physiology and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.