Evidence map›Paper›PMID 8760814›Full record

ArticleThe Journal of experimental medicine1996

Selective loss of sarcolemmal nitric oxide synthase in Becker muscular dystrophy.

D S Chao, J R Gorospe, J E Brenman, J A Rafael, M F Peters, S C Froehner, E P Hoffman, J S Chamberlain, D S Bredt

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of experimental medicine, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

54 citing papers in PubMed, 162 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

D S ChaoDepartment of Physiology, University of California at San Francisco School of Medicine 94143-0444, USA.
J R Gorospe
J E Brenman
J A Rafael
M F Peters
S C Froehner
E P Hoffman
J S Chamberlain
D S Bredt
University of California, San Francisco · US

Funding

NITRIC OXIDE AND MUSCULAR DYSTROPHYR01NS034822 · NINDS · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI BREDT, DAVID S · 1996 to 2002
$775k
NINDS NIH HHS R0INS34822
6 · The paper itself

Abstract

Becker muscular dystrophy is an X-linked disease due to mutations of the dystrophin gene. We now show that neuronal-type nitric oxide synthase (nNOS), an identified enzyme in the dystrophin complex, is uniquely absent from skeletal muscle plasma membrane in many human Becker patients and in mouse models of dystrophinopathy. An NH2-terminal domain of nNOS directly interacts with alpha 1-syntrophin but not with other proteins in the dystrophin complex analyzed. However, nNOS does not associate with alpha 1-syntrophin on the sarcolemma in transgenic mdx mice expressing truncated dystrophin proteins. This suggests a ternary interaction of nNOS, alpha 1-syntrophin, and the central domain of dystrophin in vivo, a conclusion supported by developmental studies in muscle. These data indicate that proper assembly of the dystrophin complex is dependent upon the structure of the central rodlike domain and have implications for the design of dystrophin-containing vectors for gene therapy.

Indexed as

AnimalsBiopsyCalcium-Binding ProteinsCytoskeletal ProteinsFluorescent Antibody Technique, IndirectHumansMembrane GlycoproteinsMembrane ProteinsMiceMice, Mutant StrainsMuscle ProteinsMusclesMuscular DystrophiesNitric Oxide SynthaseSarcoglycansSarcolemmaCalcium-Binding ProteinsCytoskeletal ProteinsMembrane GlycoproteinsMembrane ProteinsMuscle ProteinsNitric Oxide SynthaseSarcoglycanssyntrophin alpha1Utrn protein, mouseUtrophin

Identifiers

PMID8760814
PMCPMC2192729
OpenAlexW1974049989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.