Circulating protein biomarkers identified in two independent clinical trial cohorts of glucocorticoid-naive Duchenne muscular dystrophy patients.

  • VBP15-004 investigators, CINRG DNHS investigators
  • , FOR-DMD investigators of the Muscle Study Group

Research output: Contribution to journalArticlepeer-review

Abstract

Blood-accessible biomarkers offer promising insights into the pathogenesis of Duchenne muscular dystrophy (DMD) and other muscle diseases. Here, we quantified the relative abundance of 7,289 serum proteins using SomaScan proteomics in pre-treatment samples from 51 boys with DMD (aged 4 to <7) and 13 healthy controls from the VISION DMD (VBP15-004) trial. An independent validation cohort of untreated DMD boys (aged 4 to <8) from the FOR-DMD trial was also analyzed. Of the proteins screened, 26% and 15% were significantly elevated and decreased, respectively, in the serum of young DMD boys compared to controls (adjusted p-value < 0.05). A high correlation (Spearman r = 0.85) in fold changes was observed between the two datasets. Many proteins with altered levels overlapped with known markers of muscle injury, inflammation, regeneration, and extracellular matrix remodeling. Selected biomarkers were queried in two published muscle mRNA and a muscle snRNAseq dataset in DMD biopsies. Novel factors involved in muscle regeneration and ECM remodeling were identified. This larger-scale, multi-clinical trial-based cohort study in untreated DMD boys substantially expands the catalog of circulating biomarkers, highlighting early-stage pathological processes. These findings can help identify new therapeutic targets and develop clinically actionable biomarkers to assess disease progression and response to therapies.

Original languageEnglish (US)
Article number39997
JournalScientific reports
Volume15
Issue number1
DOIs
StatePublished - Dec 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

Keywords

  • Biomarker discovery-validation
  • Duchenne muscular dystrophy
  • Proteomics, SomaScan
  • Serum-muscle omics integration

PubMed: MeSH publication types

  • Journal Article

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