Evidence map›Paper›PMID 31263170›Full record

ArticleScientific reports2019

Functional characterization of SMN evolution in mouse models of SMA.

Erkan Y Osman, Madeline R Bolding, Eric Villalón, Kevin A Kaifer, Zachary C Lorson, Sarah Tisdale, Yue Hao, Gavin C Conant, J Chris Pires, Livio Pellizzoni and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Antenatal Ultrasound Findings in Spinal Muscular Atrophy Type 0.Molecular genetics & genomic medicine · 2025
    Review
  2. Review
  3. Article
  4. Mitochondrial Dysfunction in Spinal Muscular Atrophy.International journal of molecular sciences · 2022
    Review
  5. Review
  6. Article
  7. Review
  8. 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

11 authors at 3 institutions in 1 country.

Erkan Y OsmanDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA.
Madeline R BoldingDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA.
Eric VillalónDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA.
Kevin A KaiferDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA.
Zachary C LorsonDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA.
Sarah TisdaleCenter for Motor Neuron Biology and Disease, Department of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Yue HaoBioinformatics Research Center, North Carolina State University, Raleigh, NC, 27695, USA.ORCID http://orcid.org/0000-0002-5065-8906
Gavin C ConantBioinformatics Research Center, North Carolina State University, Raleigh, NC, 27695, USA.
J Chris PiresDepartment of Biological Sciences, Program in Genetics, North Carolina State University, Raleigh, NC, 27695, USA.ORCID http://orcid.org/0000-0001-9682-2639
Livio PellizzoniCenter for Motor Neuron Biology and Disease, Department of Pathology and Cell Biology, Columbia University, New York, NY, 10032, USA.
Christian L LorsonDepartment of Veterinary Pathobiology, College of Veterinary Medicine, University of Missouri, Columbia, MO, 65211, USA. lorsonc@missouri.edu.ORCID http://orcid.org/0000-0002-1023-2169
Missouri College · USNorth Carolina State University · USColumbia University · US

Funding

RNA-Mediated Mechanisms of Motor System Dysfunction in Spinal Muscular AtrophyR01NS102451 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Livio Pellizzoni · 2017 to 2026
$3.9M
NINDS NIH HHS R01 NS102451
6 · The paper itself

Abstract

Spinal Muscular Atrophy (SMA) is a monogenic neurodegenerative disorder and the leading genetic cause of infantile mortality. While several functions have been ascribed to the SMN (survival motor neuron) protein, their specific contribution to the disease has yet to be fully elucidated. We hypothesized that some, but not all, SMN homologues would rescue the SMA phenotype in mouse models, thereby identifying disease-relevant domains. Using AAV9 to deliver Smn homologs to SMA mice, we identified a conservation threshold that marks the boundary at which homologs can rescue the SMA phenotype. Smn from Danio rerio and Xenopus laevis significantly prevent disease, whereas Smn from Drosophila melanogaster, Caenorhabditis elegans, and Schizosaccharomyces pombe was significantly less efficacious. This phenotypic rescue correlated with correction of RNA processing defects induced by SMN deficiency and neuromuscular junction pathology. Based upon the sequence conservation in the rescuing homologs, a minimal SMN construct was designed consisting of exons 2, 3, and 6, which showed a partial rescue of the SMA phenotype. While a significant extension in survival was observed, the absence of a complete rescue suggests that while the core conserved region is essential, additional sequences contribute to the overall ability of the SMN protein to rescue disease pathology.

Indexed as

AnimalsCaenorhabditis elegansDisease Models, AnimalDrosophila melanogasterEvolution, MolecularMiceMice, KnockoutMuscular Atrophy, SpinalSchizosaccharomycesSurvival of Motor Neuron 1 ProteinXenopus laevisXenopus ProteinsZebrafishZebrafish ProteinsSmn1 protein, mouseSurvival of Motor Neuron 1 ProteinXenopus ProteinsZebrafish Proteins

Identifiers

PMID31263170
PMCPMC6603021
OpenAlexW2954938990

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.