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Background <p>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.</p> Methods <p>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.</p> Results <p>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.</p> Conclusions <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月25日

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

摘要

Background

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.

Methods

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.

Results

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.

Conclusions

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.