Evidence map›Paper›PMID 24134804›Full record

ArticleGenome medicine2013

Label-free proteomics identifies Calreticulin and GRP75/Mortalin as peripherally accessible protein biomarkers for spinal muscular atrophy.

Chantal A Mutsaers, Douglas J Lamont, Gillian Hunter, Thomas M Wishart, Thomas H Gillingwater

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Novel challenges in spinal muscular atrophy - How to screen and whom to treat?Annals of clinical and translational neurology · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Bridging the gap: large animal models in neurodegenerative research.Mammalian genome : official journal of the International Mammalian Genome Society · 2017
    Review
  14. Developing therapies for spinal muscular atrophy.Annals of the New York Academy of Sciences · 2016
    Review
  15. Article
  16. Article
  17. Article
  18. Article
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

5 authors at 3 institutions in 1 country.

Chantal A MutsaersEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, EH8 9XD, UK ; Centre for Integrative Physiology, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
Douglas J Lamont'FingerPrints' Proteomics Facility, College of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Gillian HunterEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, EH8 9XD, UK ; Centre for Integrative Physiology, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
Thomas M WishartEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, EH8 9XD, UK ; Division of Neurobiology, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, EH25 9RG, UK.
Thomas H GillingwaterEuan MacDonald Centre for Motor Neurone Disease Research, University of Edinburgh, Edinburgh, EH8 9XD, UK ; Centre for Integrative Physiology, University of Edinburgh, Hugh Robson Building, George Square, Edinburgh, EH8 9XD, UK.
University of Edinburgh · GBMott MacDonald (United Kingdom) · GBUniversity of Dundee · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20251969
6 · The paper itself

Abstract

backgroundSpinal muscular atrophy (SMA) is a neuromuscular disease resulting from mutations in the survival motor neuron 1 (SMN1) gene. Recent breakthroughs in preclinical research have highlighted several potential novel therapies for SMA, increasing the need for robust and sensitive clinical trial platforms for evaluating their effectiveness in human patient cohorts. Given that most clinical trials for SMA are likely to involve young children, there is a need for validated molecular biomarkers to assist with monitoring disease progression and establishing the effectiveness of therapies being tested. Proteomics technologies have recently been highlighted as a potentially powerful tool for such biomarker discovery.

methodsWe utilized label-free proteomics to identify individual proteins in pathologically-affected skeletal muscle from SMA mice that report directly on disease status. Quantitative fluorescent western blotting was then used to assess whether protein biomarkers were robustly changed in muscle, skin and blood from another mouse model of SMA, as well as in a small cohort of human SMA patient muscle biopsies.

resultsBy comparing the protein composition of skeletal muscle in SMA mice at a pre-symptomatic time-point with the muscle proteome at a late-symptomatic time-point we identified increased expression of both Calreticulin and GRP75/Mortalin as robust indicators of disease progression in SMA mice. We report that these protein biomarkers were consistently modified in different mouse models of SMA, as well as across multiple skeletal muscles, and were also measurable in skin biopsies. Furthermore, Calreticulin and GRP75/Mortalin were measurable in muscle biopsy samples from human SMA patients.

conclusionsWe conclude that label-free proteomics technology provides a powerful platform for biomarker identification in SMA, revealing Calreticulin and GRP75/Mortalin as peripherally accessible protein biomarkers capable of reporting on disease progression in samples of muscle and skin.

Identifiers

PMID24134804
PMCPMC3979019
OpenAlexW2136975490

What OpenQuestion holds

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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.