Evidence map›Paper›PMID 34360794›Full record

ArticleInternational journal of molecular sciences2021

Activation of Muscle-Specific Kinase (MuSK) Reduces Neuromuscular Defects in the Delta7 Mouse Model of Spinal Muscular Atrophy (SMA).

Zhihua Feng, Steven Lam, Elena-Marie Sandino Tenn, Arundhati Sengupta Ghosh, Sarah Cantor, Wei Zhang, Pei-Fen Yen, Karen S Chen, Steven Burden, Sergey Paushkin and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Building, Breaking, and Repairing Neuromuscular Synapses.Cold Spring Harbor perspectives in biology · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. A link between agrin signalling and CaScientific reports · 2022
    Article
  12. Article
  13. Article
  14. 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

12 authors at 4 institutions in 1 country.

Zhihua FengSection of Neurobiology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Steven LamSection of Neurobiology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Elena-Marie Sandino TennSection of Neurobiology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Arundhati Sengupta GhoshDepartment of Neuroscience, Genentech, South San Francisco, CA 94080, USA.
Sarah CantorDepartment of Neuroscience, Skirball Institute of Biomolecular Medicine, New York University, New York City, NY 10016, USA.
Wei ZhangDepartment of Neuroscience, Skirball Institute of Biomolecular Medicine, New York University, New York City, NY 10016, USA.ORCID 0000-0001-7601-7034
Pei-Fen YenSection of Neurobiology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
Karen S ChenSpinal Muscular Atrophy Foundation, P.O. Box 9214, Jackson, WY 83002, USA.
Steven BurdenDepartment of Neuroscience, Skirball Institute of Biomolecular Medicine, New York University, New York City, NY 10016, USA.
Sergey PaushkinSpinal Muscular Atrophy Foundation, P.O. Box 9214, Jackson, WY 83002, USA.
Gai AyalonUltragenyx Pharmaceutical, Novato, CA 94949, USA.ORCID 0000-0002-0872-9168
Chien-Ping KoSection of Neurobiology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-3365-0005
University of Southern California · USNew York University · USSpinal Muscular Atrophy Foundation · USUltragenyx Pharmaceutical (United States) · US

Funding

Spinal Muscular Atrophy Foundation N/A
6 · The paper itself

Abstract

Spinal muscular atrophy (SMA) is a motor neuron disease caused by insufficient levels of the survival motor neuron (SMN) protein. One of the most prominent pathological characteristics of SMA involves defects of the neuromuscular junction (NMJ), such as denervation and reduced clustering of acetylcholine receptors (AChRs). Recent studies suggest that upregulation of agrin, a crucial NMJ organizer promoting AChR clustering, can improve NMJ innervation and reduce muscle atrophy in the delta7 mouse model of SMA. To test whether the muscle-specific kinase (MuSK), part of the agrin receptor complex, also plays a beneficial role in SMA, we treated the delta7 SMA mice with an agonist antibody to MuSK. MuSK agonist antibody #13, which binds to the NMJ, significantly improved innervation and synaptic efficacy in denervation-vulnerable muscles. MuSK agonist antibody #13 also significantly increased the muscle cross-sectional area and myofiber numbers in these denervation-vulnerable muscles but not in denervation-resistant muscles. Although MuSK agonist antibody #13 did not affect the body weight, our study suggests that preservation of NMJ innervation by the activation of MuSK may serve as a complementary therapy to SMN-enhancing drugs to maximize the therapeutic effectiveness for all types of SMA patients.

Indexed as

AnimalsDisease Models, AnimalEnzyme ActivationMiceMice, TransgenicMotor NeuronsMuscular Atrophy, SpinalNeuromuscular JunctionReceptor Protein-Tyrosine KinasesSurvival of Motor Neuron 1 ProteinMuSK protein, mouseReceptor Protein-Tyrosine KinasesSmn1 protein, mouseSurvival of Motor Neuron 1 Proteindenervationinnervationmuscle-specific kinase (MuSK)neuromuscular junctionskeletal musclespinal muscular atrophy

Identifiers

PMID34360794
PMCPMC8348537
OpenAlexW3184966446

What Socratic 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 Socratic graph.