Evidence map›Paper›PMID 28793853›Full record

ArticleBMC genomics2017

Equine skeletal muscle adaptations to exercise and training: evidence of differential regulation of autophagosomal and mitochondrial components.

Kenneth Bryan, Beatrice A McGivney, Gabriella Farries, Paul A McGettigan, Charlotte L McGivney, Katie F Gough, David E MacHugh, Lisa M Katz, Emmeline W Hill

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  15. Mitochondrial Dysfunctions and Potential Molecular Markers in Sport Horses.International journal of molecular sciences · 2022
    Review
  16. Fueling equine performance: importance of mitochondrial phenotype in equine athletes.Animal frontiers : the review magazine of animal agriculture · 2022
    Article
  17. Article
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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.

Kenneth BryanUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Beatrice A McGivneyUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Gabriella FarriesUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Paul A McGettiganUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Charlotte L McGivneyUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Katie F GoughUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
David E MacHughUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland.
Lisa M KatzUCD School of Veterinary Medicine, University College Dublin, Belfield, D04 V1W8, Ireland.
Emmeline W HillUCD School of Agriculture and Food Science, University College Dublin, Belfield, D04 V1W8, Ireland. emmeline.hill@ucd.ie.
University College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA single bout of exercise induces changes in gene expression in skeletal muscle. Regular exercise results in an adaptive response involving changes in muscle architecture and biochemistry, and is an effective way to manage and prevent common human diseases such as obesity, cardiovascular disorders and type II diabetes. However, the biomolecular mechanisms underlying such responses still need to be fully elucidated. Here we performed a transcriptome-wide analysis of skeletal muscle tissue in a large cohort of untrained Thoroughbred horses (n = 51) before and after a bout of high-intensity exercise and again after an extended period of training. We hypothesized that regular high-intensity exercise training primes the transcriptome for the demands of high-intensity exercise.

resultsAn extensive set of genes was observed to be significantly differentially regulated in response to a single bout of high-intensity exercise in the untrained cohort (3241 genes) and following multiple bouts of high-intensity exercise training over a six-month period (3405 genes). Approximately one-third of these genes (1025) and several biological processes related to energy metabolism were common to both the exercise and training responses. We then developed a novel network-based computational analysis pipeline to test the hypothesis that these transcriptional changes also influence the contextual molecular interactome and its dynamics in response to exercise and training. The contextual network analysis identified several important hub genes, including the autophagosomal-related gene GABARAPL1, and dynamic functional modules, including those enriched for mitochondrial respiratory chain complexes I and V, that were differentially regulated and had their putative interactions 're-wired' in the exercise and/or training responses.

conclusionHere we have generated for the first time, a comprehensive set of genes that are differentially expressed in Thoroughbred skeletal muscle in response to both exercise and training. These data indicate that consecutive bouts of high-intensity exercise result in a priming of the skeletal muscle transcriptome for the demands of the next exercise bout. Furthermore, this may also lead to an extensive 're-wiring' of the molecular interactome in both exercise and training and include key genes and functional modules related to autophagy and the mitochondrion.

Indexed as

Adaptation, PhysiologicalAnimalsAutophagosomesGene Expression ProfilingHorsesMitochondriaMuscle, SkeletalPhysical Conditioning, AnimalSequence Analysis, RNAAutophagyEquineExerciseFunctional moduleMitochondriaNetwork analysisRNAseqSkeletal muscleTrainingTranscriptome

Identifiers

PMID28793853
PMCPMC5551008
OpenAlexW2742526040

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.