Journal Article (Review Article) DZNE-2026-00545

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Potential proteomic biomarkers for monitoring clinical studies in Duchenne/Becker muscular dystrophy.

 ;  ;  ;  ;  ;  ;

2026
Taylor & Francis Group Abingdon

Expert review of proteomics 23(4-5), 109 - 120 () [10.1080/14789450.2026.2669276]

This record in other databases:    

Please use a persistent id in citations: doi:

Abstract: Clinical proteomics is an evolving discipline that aims to identify new biomarker candidates of human disease to improve diagnosis, prognosis, treatment monitoring and the discovery of novel therapeutic targets. This article outlines the pathoproteomic characterization of dystrophinopathies, which are classified as muscle wasting diseases due to mutations in the DMD gene.The Special Report focuses on the proteomic profiling of progressive Duchenne muscular dystrophy of early childhood and more benign and later-onset Becker muscular dystrophy. The literature search on proteomics and biomarker discovery in dystrophinopathies was conducted with the standard scientific literature databases PubMed and Google Scholar for the preparation of the general text of this article.This report has outlined the biomedical value of the systematic proteomic characterization of tissue specimens and associated biofluids to establish novel biomarkers for monitoring clinical studies in muscular dystrophy. Both, mass spectrometry-based profiling approaches and high-plex/high-throughput proteomics platforms were shown to be suitable for the systematic study of complex changes versus adaptations in dystrophinopathy. The verification of promising disease indicators, especially minimally invasive biofluid markers of myonecrosis, chronic inflammation, disturbed energy metabolism and myofibrosis, using orthogonal methodology holds great potential for future clinical applications such as therapeutic monitoring.

Keyword(s): Humans (MeSH) ; Muscular Dystrophy, Duchenne: metabolism (MeSH) ; Muscular Dystrophy, Duchenne: genetics (MeSH) ; Muscular Dystrophy, Duchenne: diagnosis (MeSH) ; Muscular Dystrophy, Duchenne: pathology (MeSH) ; Proteomics: methods (MeSH) ; Biomarkers: metabolism (MeSH) ; Biomarker ; Duchenne/Becker muscular dystrophy ; dystrophinopathy ; mass spectrometry ; neuromuscular disease ; proteomics ; Biomarkers

Classification:

Contributing Institute(s):
  1. Nuclear Function in CNS Pathophysiology (AG Salomoni)
Research Program(s):
  1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2026
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Salomoni
Full Text Collection
Public records
Publications Database

 Record created 2026-05-20, last modified 2026-05-22


OpenAccess:
Download fulltext PDF Download fulltext PDF (PDFA)
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)