Evidence map›Paper›PMID 33193103›Full record

ArticleFrontiers in endocrinology2020

Comparative Analysis of Skeletal Muscle Transcriptional Signatures Associated With Aerobic Exercise Capacity or Response to Training in Humans and Rats.

Yildiz Kelahmetoglu, Paulo R Jannig, Igor Cervenka, Lauren G Koch, Steven L Britton, Jiajia Zhou, Huating Wang, Matthew M Robinson, K Sreekumaran Nair, Jorge L Ruas

Abstract readComparative Study
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

10 authors.

Yildiz KelahmetogluMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Biomedicum. Karolinska Institute, Stockholm, Sweden.
Paulo R JannigMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Biomedicum. Karolinska Institute, Stockholm, Sweden.
Igor CervenkaMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Biomedicum. Karolinska Institute, Stockholm, Sweden.
Lauren G KochDepartment of Physiology and Pharmacology, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, United States.
Steven L BrittonDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States.
Jiajia ZhouLi Ka Shing Institute of Health Sciences, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China.
Huating WangLi Ka Shing Institute of Health Sciences, Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China.
Matthew M RobinsonSchool of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States.
K Sreekumaran NairDepartment of Integrative Physiology, Division of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, United States.
Jorge L RuasMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Biomedicum. Karolinska Institute, Stockholm, Sweden.

Funding

Resource for Rat Genetic Models of Aerobic CapacityP40OD021331 · OD · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KOCH, LAUREN GERARD · 2015 to 2019
$1.9M
NIH HHS P40 OD021331
6 · The paper itself

Abstract

Increasing exercise capacity promotes healthy aging and is strongly associated with lower mortality rates. In this study, we analyzed skeletal muscle transcriptomics coupled to exercise performance in humans and rats to dissect the inherent and response components of aerobic exercise capacity. Using rat models selected for intrinsic and acquired aerobic capacity, we determined that the high aerobic capacity muscle transcriptome is associated with pathways for tissue oxygenation and vascularization. Conversely, the low capacity muscle transcriptome indicated immune response and metabolic dysfunction. Low response to training was associated with an inflammatory signature and revealed a potential link to circadian rhythm. Next, we applied bioinformatics tools to predict potential secreted factors (myokines). The predicted secretome profile for exercise capacity highlighted circulatory factors involved in lipid metabolism and the exercise response secretome was associated with extracellular matrix remodelling. Lastly, we utilized human muscle mitochondrial respiration and transcriptomics data to explore molecular mediators of exercise capacity and response across species. Human transcriptome comparison highlighted epigenetic mechanisms linked to exercise capacity and the damage repair for response. Overall, our findings from this cross-species transcriptome analysis of exercise capacity and response establish a foundation for future studies on the mechanisms that link exercise and health.

Indexed as

Circadian RhythmExercise ToleranceGene Expression RegulationPhysical Conditioning, AnimalTranscriptomeAnimalsHumansInflammationMaleMuscle ProteinsMuscle, SkeletalRatsMuscle Proteinsaerobic capacityexercisehuman studiesrat models of exerciseresponse to trainingskeletal muscletranscriptome (RNA-seq)

Identifiers

PMID33193103
PMCPMC7649134

What OpenQuestion holds

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Registered trials

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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.