Evidence map›Paper›PMID 29958080›Full record

ReviewPhysiological genomics2018

A mini review: Proteomics approaches to understand disused vs. exercised human skeletal muscle.

Yoshitake Cho, Robert S Ross

Open access · bronzeAbstract readComparative StudyReview
In one paragraph

Review in Physiological genomics, 2018. 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
0.8field-weighted citation impact, top 28% 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, 12 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

2 authors at 2 institutions in 1 country.

Yoshitake ChoDivision of Cardiology, Department of Medicine, University of California San Diego , La Jolla, California.
Robert S RossDivision of Cardiology, Department of Medicine, University of California San Diego , La Jolla, California.
United States Department of Veterans Affairs · USUniversity of California, San Diego · US

Funding

Cardiac Myocyte Form and Function: Role of Talin and KindlinR01HL127806 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROSS, ROBERT SCOTT · 2015 to 2018
$1.6M
Costamere Structure, Membrane Stability and Integrin Trafficking in the Normal and Diseased HeartI01BX003260 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI ROSS, ROBERT SCOTT · 2016 to 2019
–
BLRD VA I01 BX003260NHLBI NIH HHS R01 HL127806
6 · The paper itself

Abstract

Immobilization, bed rest, or denervation leads to muscle disuse and subsequent skeletal muscle atrophy. Muscle atrophy can also occur as a component of various chronic diseases such as cancer, AIDS, sepsis, diabetes, and chronic heart failure or as a direct result of genetic muscle disorders. In addition to this atrophic loss of muscle mass, metabolic deregulation of muscle also occurs. In contrast, physical exercise plays a beneficial role in counteracting disuse-induced atrophy by increasing muscle mass and strength. Along with this, exercise can also reduce mitochondrial dysfunction and metabolic deregulation. Still, while exercise causes valuable metabolic and functional adaptations in skeletal muscle, the mechanisms and effectors that lead to these changes such as increased mitochondria content or enhanced protein synthesis are not fully understood. Therefore, mechanistic insights may ultimately provide novel ways to treat disuse induced atrophy and metabolic deregulation. Mass spectrometry (MS)-based proteomics offers enormous promise for investigating the molecular mechanisms underlying disuse and exercise-induced changes in skeletal muscle. This review will focus on initial findings uncovered by using proteomics approaches with human skeletal muscle specimens and discuss their potential for the future study.

Indexed as

ExerciseHumansMitochondriaMuscle, SkeletalMuscular Disorders, AtrophicProtein Processing, Post-TranslationalProteomicsexercise adaptationphysical activityproteomicsskeletal muscle disuse

Identifiers

PMID29958080
PMCPMC6172614
OpenAlexW2811489596

What OpenQuestion holds

Textmetadata
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.