Evidence map›Paper›PMID 39858524›Full record

ReviewBiomolecules2025

Proteomic Profiling Towards a Better Understanding of Genetic Based Muscular Diseases: The Current Picture and a Look to the Future.

Marc Pauper, Andreas Hentschel, Malte Tiburcy, Sergi Beltran, Tobias Ruck, Ulrike Schara-Schmidt, Andreas Roos

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marc PauperCentro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, 08028 Barcelona, Spain.ORCID 0000-0001-6274-9891
Andreas HentschelLeibniz-Institut für Analytische Wissenschaften-ISAS-e.V., 44227 Dortmund, Germany.ORCID 0000-0002-0272-9220
Malte TiburcyInstitute of Pharmacology and Toxicology, University Medical Center Göttingen, Georg August University, 37075 Göttingen, Germany.ORCID 0000-0002-6942-6275
Sergi BeltranCentro Nacional de Análisis Genómico (CNAG), Baldiri Reixac 4, 08028 Barcelona, Spain.
Tobias RuckDepartment of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID 0000-0001-6332-8650
Ulrike Schara-SchmidtDepartment of Pediatric Neurology, Centre for Neuromuscular Disorders, University Duisburg-Essen, 45147 Essen, Germany.
Andreas RoosDepartment of Neurology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID 0000-0003-2833-0928

Funding

Deutsche Gesellschaft für Muskelkranke e.V. (DGM) N/AEuropean Regional Development Fund (ERDF) NME-GPS & B2B-RAREEuropean Union´s Horizon 2020 956148Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen MODS - PROFILNRW-2020-107-AMinisterium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen N/AMinistry of Science, Innovation and Universities, and Generalitat de Catalunya N/A
6 · The paper itself

Abstract

Proteomics accelerates diagnosis and research of muscular diseases by enabling the robust analysis of proteins relevant for the manifestation of neuromuscular diseases in the following aspects: (i) evaluation of the effect of genetic variants on the corresponding protein, (ii) prediction of the underlying genetic defect based on the proteomic signature of muscle biopsies, (iii) analysis of pathophysiologies underlying different entities of muscular diseases, key for the definition of new intervention concepts, and (iv) patient stratification according to biochemical fingerprints as well as (v) monitoring the success of therapeutic interventions. This review presents-also through exemplary case studies-the various advantages of mass proteomics in the investigation of genetic muscle diseases, discusses technical limitations, and provides an outlook on possible future application concepts. Hence, proteomics is an excellent large-scale analytical tool for the diagnostic workup of (hereditary) muscle diseases and warrants systematic profiling of underlying pathophysiological processes. The steady development may allow to overcome existing limitations including a quenched dynamic range and quantification of different protein isoforms. Future directions may include targeted proteomics in diagnostic settings using not only muscle biopsies but also liquid biopsies to address the need for minimally invasive procedures.

Indexed as

Muscular DiseasesProteomeProteomicsHumansMuscle, SkeletalProteomemuscle biochemistrymuscle laser capture microdissectionmuscle organoidsmuscle proteomicsneuromuscular disease biomarkerwhite blood cells in muscle disease

Identifiers

PMID39858524
PMCPMC11763865

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.