Evidence map›Paper›PMID 24920607›Full record

ArticleEMBO molecular medicine2014

Affinity proteomics within rare diseases: a BIO-NMD study for blood biomarkers of muscular dystrophies.

Burcu Ayoglu, Amina Chaouch, Hanns Lochmüller, Luisa Politano, Enrico Bertini, Pietro Spitali, Monika Hiller, Eric H Niks, Francesca Gualandi, Fredrik Pontén and 13 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
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

76 citing papers in PubMed, 115 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Serum protein biomarker signature of Duchenne muscular dystrophy.European journal of translational myology · 2025
    Article
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  7. Article
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  15. Article
  16. Review
  17. Proteomics in Inherited Metabolic Disorders.International journal of molecular sciences · 2022
    Review
  18. Biomarkers in Duchenne Muscular Dystrophy.Current heart failure reports · 2022
    Review
  19. Article
  20. Review

16 more citing papers are in PubMed but not listed here.

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

23 authors at 11 institutions in 5 countries.

Burcu AyogluAffinity Proteomics, SciLifeLab, School of Biotechnology KTH-Royal Institute of Technology, Stockholm, Sweden.
Amina ChaouchInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Hanns LochmüllerInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Luisa PolitanoCardiomiology and Medical Genetics, Department of Experimental Medicine, Second University of Naples, Naples, Italy.
Enrico BertiniUnit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, Bambino Gesú Children's Hospital, Rome, Italy.
Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Monika HillerDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Eric H NiksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Francesca GualandiUnit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Fredrik PonténSciLifeLab, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Kate BushbyInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Annemieke Aartsma-RusInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Elena SchwartzAriadne Diagnostics, Rockville, MD, USA.
Yannick Le PriolElsevier, Amsterdam, The Netherlands.
Volker StraubInstitute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.
Mathias UhlénAffinity Proteomics, SciLifeLab, School of Biotechnology KTH-Royal Institute of Technology, Stockholm, Sweden.
Sebahattin CirakResearch Center for Genetic Medicine, Childrens National Medical Center, Washington, DC, USA.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Francesco MuntoniThe Dubowitz Neuromuscular Centre, UCL Institute of Child Health, London, UK.
Alessandra FerliniUnit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Jochen M SchwenkAffinity Proteomics, SciLifeLab, School of Biotechnology KTH-Royal Institute of Technology, Stockholm, Sweden.
Peter NilssonAffinity Proteomics, SciLifeLab, School of Biotechnology KTH-Royal Institute of Technology, Stockholm, Sweden.
Cristina Al-Khalili SzigyartoDepartment of Proteomics, School of Biotechnology KTH-Royal Institute of Technology, Stockholm, Sweden caks@kth.se.
Newcastle University · GBLeiden University Medical Center · NLKTH Royal Institute of Technology · SEScience for Life Laboratory · SEUniversity of Ferrara · ITAriadne Diagnostics (United States) · USBambino Gesù Children's Hospital · ITChildren's National · USRELX Group (Netherlands) · NLUniversity College London · GBUniversity of Campania "Luigi Vanvitelli" · IT

Funding

Medical Research Council MR/K000608/1Telethon GTB12001
6 · The paper itself

Abstract

Despite the recent progress in the broad-scaled analysis of proteins in body fluids, there is still a lack in protein profiling approaches for biomarkers of rare diseases. Scarcity of samples is the main obstacle hindering attempts to apply discovery driven protein profiling in rare diseases. We addressed this challenge by combining samples collected within the BIO-NMD consortium from four geographically dispersed clinical sites to identify protein markers associated with muscular dystrophy using an antibody bead array platform with 384 antibodies. Based on concordance in statistical significance and confirmatory results obtained from analysis of both serum and plasma, we identified eleven proteins associated with muscular dystrophy, among which four proteins were elevated in blood from muscular dystrophy patients: carbonic anhydrase III (CA3) and myosin light chain 3 (MYL3), both specifically expressed in slow-twitch muscle fibers and mitochondrial malate dehydrogenase 2 (MDH2) and electron transfer flavoprotein A (ETFA). Using age-matched sub-cohorts, 9 protein profiles correlating with disease progression and severity were identified, which hold promise for the development of new clinical tools for management of dystrophinopathies.

Indexed as

BiomarkersBlood ProteinsCohort StudiesFemaleHumansMaleMuscular Dystrophy, DuchenneProtein Array AnalysisProteomicsRare DiseasesBiomarkersBlood Proteinsantibody‐based proteomicsdisease severity biomarkersDuchenne muscular dystrophyplasma profillingprotein profiling

Identifiers

PMID24920607
PMCPMC4119355
OpenAlexW2153766856

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.