Evidence map›Paper›PMID 34112844›Full record

ArticleScientific reports2021

NMJ-Analyser identifies subtle early changes in mouse models of neuromuscular disease.

Alan Mejia Maza, Seth Jarvis, Weaverly Colleen Lee, Thomas J Cunningham, Giampietro Schiavo, Maria Secrier, Pietro Fratta, James N Sleigh, Elizabeth M C Fisher, Carole H Sudre

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Review
  3. Junctions in Jeopardy: the neuromuscular junction is a selective pathological target in Charcot-Marie-Tooth disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  4. Article
  5. Article
  6. Molecular Framework of the Onset and Progression of Skeletal Muscle Aging.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. NMJ-related diseases beyond the congenital myasthenic syndromes.Frontiers in cell and developmental biology · 2023
    Review
  18. Article
  19. Article
  20. Optimization of Application-Driven Development ofTissue engineering. Part B, Reviews · 2022
    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

10 authors at 4 institutions in 1 country.

Alan Mejia MazaDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Seth JarvisDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Weaverly Colleen LeeDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Thomas J CunninghamMammalian Genetics Unit, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK.
Giampietro SchiavoDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Maria SecrierDepartment of Genetics, Evolution and Environment, UCL Genetic Institute, University College London, London, WC1E 6BT, UK.
Pietro FrattaDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
James N SleighDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Elizabeth M C Fisher *Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK.
Carole H Sudre *MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, University College London, London, WC1E 6BT, UK. c.sudre@ucl.ac.uk.
University College London · GBNational Hospital for Neurology and Neurosurgery · GBUK Dementia Research Institute · GBMary Lyon Centre at MRC Harwell · GB

Funding

EPA EP-W-17-011Medical Research Council G0801110Medical Research Council MC_EX_MR/N501931/1Medical Research Council MR/L021056/1Medical Research Council MR/M008606/1Medical Research Council MR/S006508/1Medical Research Council MR/S006990/1Motor Neurone Disease Association FISHER/APR14/874-792Motor Neurone Disease Association FRATTA/JAN15/946-795Motor Neurone Disease Association PLAGNOL/OCT15/885-792Wellcome TrustWellcome Trust 107116/Z/15/ZWellcome Trust 215296/Z/19/Z
6 · The paper itself

Abstract

The neuromuscular junction (NMJ) is the peripheral synapse formed between a motor neuron axon terminal and a muscle fibre. NMJs are thought to be the primary site of peripheral pathology in many neuromuscular diseases, but innervation/denervation status is often assessed qualitatively with poor systematic criteria across studies, and separately from 3D morphological structure. Here, we describe the development of 'NMJ-Analyser', to comprehensively screen the morphology of NMJs and their corresponding innervation status automatically. NMJ-Analyser generates 29 biologically relevant features to quantitatively define healthy and aberrant neuromuscular synapses and applies machine learning to diagnose NMJ degeneration. We validated this framework in longitudinal analyses of wildtype mice, as well as in four different neuromuscular disease models: three for amyotrophic lateral sclerosis (ALS) and one for peripheral neuropathy. We showed that structural changes at the NMJ initially occur in the nerve terminal of mutant TDP43 and FUS ALS models. Using a machine learning algorithm, healthy and aberrant neuromuscular synapses are identified with 95% accuracy, with 88% sensitivity and 97% specificity. Our results validate NMJ-Analyser as a robust platform for systematic and structural screening of NMJs, and pave the way for transferrable, and cross-comparison and high-throughput studies in neuromuscular diseases.

Indexed as

AnimalsBiomarkersCase-Control StudiesDisease Models, AnimalDisease SusceptibilityFluorescent Antibody TechniqueMachine LearningMiceMice, KnockoutNeuromuscular DiseasesNeuromuscular JunctionRNA-Binding Protein FUSROC CurveBiomarkersFUS protein, mouseRNA-Binding Protein FUS

Identifiers

PMID34112844
PMCPMC8192785
OpenAlexW3166435532

What OpenQuestion holds

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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.