Evidence map›Paper›PMID 23800384›Full record

ReviewThe international journal of biochemistry & cell biology2013

Disuse-induced muscle wasting.

Sue C Bodine

Open access · greenAbstract readReview
In one paragraph

Review in The international journal of biochemistry & cell biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 3 pooled it
11.1field-weighted citation impact, top 1% 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

202 citing papers in PubMed, 3 syntheses or guidelines pooled it, 375 citations in OpenAlex.

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142 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Sue C BodineDepartment of Neurobiology, Physiology and Behavior, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States. scbodine@ucdavis.edu
University of California, Davis · US

Funding

Glucocorticoid control of gene expression during skeletal muscle atrophyR01DK075801 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BODINE, SUE C, FURLOW, JOHN DAVID · 2008 to 2011
$1.4M
Howard Hughes Medical InstituteNIDDK NIH HHS DK75801NIDDK NIH HHS R01 DK075801
6 · The paper itself

Abstract

Loss of skeletal muscle mass occurs frequently in clinical settings in response to joint immobilization and bed rest, and is induced by a combination of unloading and inactivity. Disuse-induced atrophy will likely affect every person in his or her lifetime, and can be debilitating especially in the elderly. Currently there are no good therapies to treat disuse-induced muscle atrophy, in part, due to a lack of understanding of the cellular and molecular mechanisms responsible for the induction and maintenance of muscle atrophy. Our current understanding of disuse atrophy comes from the investigation of a variety of models (joint immobilization, hindlimb unloading, bed rest, spinal cord injury) in both animals and humans. Under conditions of unloading, it is widely accepted that there is a decrease in protein synthesis, however, the role of protein degradation, especially in humans, is debated. This review will examine the current understanding of the molecular and cellular mechanisms regulating muscle loss under disuse conditions, discussing the similarities and areas of dispute between the animal and human literature. This article is part of a Directed Issue entitled: Molecular basis of muscle wasting.

Indexed as

AnimalsHumansMuscle ProteinsMuscular AtrophyProtein BiosynthesisMuscle ProteinsProtein degradationProtein synthesisReloadingUbiquitin ligasesUnloading

Identifiers

PMID23800384
PMCPMC3856924
OpenAlexW2023470228

What OpenQuestion holds

Textmetadata
LicenceTDM
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.