Evidence map›Paper›PMID 31881125›Full record

ArticleJournal of cachexia, sarcopenia and muscle2020

Longitudinal serum biomarker screening identifies malate dehydrogenase 2 as candidate prognostic biomarker for Duchenne muscular dystrophy.

Mirko Signorelli, Burcu Ayoglu, Camilla Johansson, Hanns Lochmüller, Volker Straub, Francesco Muntoni, Erik Niks, Roula Tsonaka, Anja Persson, Annemieke Aartsma-Rus and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Serum protein biomarker signature of Duchenne muscular dystrophy.European journal of translational myology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 6 institutions in 7 countries.

Mirko SignorelliDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-8102-3356
Burcu AyogluDepartment of Protein Sciences, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0001-8277-8999
Camilla JohanssonDepartment of Protein Science, School of Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
Hanns LochmüllerDepartment of Neuropediatrics and Muscle Disorders, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0003-2324-8001
Volker StraubMRC Centre for Neuromuscular Diseases, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-9046-3540
Francesco MuntoniThe Dubowitz Neuromuscular Centre, UCL Institute of Child Health, London, UK.ORCID 0000-0002-9102-5232
Erik NiksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5892-5143
Roula TsonakaDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-3466-5401
Anja PerssonDepartment of Protein Science, School of Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
Annemieke Aartsma-RusChildren's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Canada.ORCID 0000-0003-1565-654X
Peter NilssonDivision of Affinity Proteomics, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-4657-8532
Cristina Al-Khalili SzigyartoDepartment of Protein Sciences, SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0001-6990-1905
Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2783-688X
Leiden University Medical Center · NLScience for Life Laboratory · SEKTH Royal Institute of Technology · SEUniversity of Ottawa · CACentre for Life · GBInstitute of Child Health · IN

Funding

Department of HealthMedical Research Council G1002274Medical Research Council ID 98482
6 · The paper itself

Abstract

backgroundDuchenne muscular dystrophy (DMD) is a fatal disease for which no cure is available. Clinical trials have shown to be largely underpowered due to inter-individual variability and noisy outcome measures. The availability of biomarkers able to anticipate clinical benefit is highly needed to improve clinical trial design and facilitate drug development.

methodsIn this study, we aimed to appraise the value of protein biomarkers to predict prognosis and monitor disease progression or treatment outcome in patients affected by DMD. We collected clinical data and 303 blood samples from 157 DMD patients in three clinical centres; 78 patients contributed multiple blood samples over time, with a median follow-up time of 2 years. We employed linear mixed models to identify biomarkers that are associated with disease progression, wheelchair dependency, and treatment with corticosteroids and performed survival analysis to find biomarkers whose levels are associated with time to loss of ambulation.

resultsOur analysis led to the identification of 21 proteins whose levels significantly decrease with age and nine proteins whose levels significantly increase. Seven of these proteins are also differentially expressed in non-ambulant patients, and three proteins are differentially expressed in patients treated with glucocorticosteroids. Treatment with corticosteroids was found to partly counteract the effect of disease progression on two biomarkers, namely, malate dehydrogenase 2 (MDH2, P = 0.0003) and ankyrin repeat domain 2 (P = 0.0005); however, patients treated with corticosteroids experienced a further reduction on collagen 1 serum levels (P = 0.0003), especially following administration of deflazacort. A time to event analysis allowed to further support the use of MDH2 as a prognostic biomarker as it was associated with an increased risk of wheelchair dependence (P = 0.0003). The obtained data support the prospective evaluation of the identified biomarkers in natural history and clinical trials as exploratory biomarkers.

conclusionsWe identified a number of serum biomarkers associated with disease progression, loss of ambulation, and treatment with corticosteroids. The identified biomarkers are promising candidate prognostic and surrogate biomarkers, which may support drug developers if confirmed in prospective studies. The serum levels of MDH2 are of particular interest, as they correlate with disease stage and response to treatment with corticosteroids, and are also associated with the risk of wheelchair dependency and pulmonary function.

Indexed as

AdolescentAdultBiomarkersChildChild, PreschoolDisease ProgressionEarly Detection of CancerFemaleHumansLongitudinal StudiesMalate DehydrogenaseMaleMuscular Dystrophy, DuchennePrognosisYoung AdultBiomarkersMalate DehydrogenaseDuchenne muscular dystrophyPrognostic biomarkerProtein biomarkersRare diseasesSerum biomarkers

Identifiers

PMID31881125
PMCPMC7113516
OpenAlexW2997855080

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.