Evidence map›Paper›PMID 26960911›Full record

ArticleScientific reports2016

Integrated mRNA and miRNA expression profiling in blood reveals candidate biomarkers associated with endurance exercise in the horse.

Núria Mach, Sandra Plancade, Alicja Pacholewska, Jérôme Lecardonnel, Julie Rivière, Marco Moroldo, Anne Vaiman, Caroline Morgenthaler, Marine Beinat, Alizée Nevot and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 94 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

12 authors at 6 institutions in 2 countries.

Núria MachAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Sandra PlancadeINRA, MaIAGE, Jouy-en-Josas, France.
Alicja PacholewskaSwiss Institute of Equine Medicine, Institute of Genetics, University of Bern and Agroscope, Bern, Switzerland.
Jérôme LecardonnelAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Julie RivièreAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Marco MoroldoAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Anne VaimanAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Caroline MorgenthalerAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Marine BeinatAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Alizée NevotAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Céline RobertAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Eric BarreyAnimal Genetics and Integrative Biology unit (GABI), INRA, AgroParis Tech, Université Paris-Saclay, 78350, Jouy-en-Josas, France.
Génétique Animale et Biologie Intégrative · FRUniversité Paris-Saclay · FRÉcole Nationale Vétérinaire d'Alfort · FRMathématiques et Informatique Appliquées du Génome à l'Environnement · FRSwiss Institute of Equine Medicine · CHUniversité d'Évry Val-d'Essonne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptive response to extreme endurance exercise might involve transcriptional and translational regulation by microRNAs (miRNAs). Therefore, the objective of the present study was to perform an integrated analysis of the blood transcriptome and miRNome (using microarrays) in the horse before and after a 160 km endurance competition. A total of 2,453 differentially expressed genes and 167 differentially expressed microRNAs were identified when comparing pre- and post-ride samples. We used a hypergeometric test and its generalization to gain a better understanding of the biological functions regulated by the differentially expressed microRNA. In particular, 44 differentially expressed microRNAs putatively regulated a total of 351 depleted differentially expressed genes involved variously in glucose metabolism, fatty acid oxidation, mitochondrion biogenesis, and immune response pathways. In an independent validation set of animals, graphical Gaussian models confirmed that miR-21-5p, miR-181b-5p and miR-505-5p are candidate regulatory molecules for the adaptation to endurance exercise in the horse. To the best of our knowledge, the present study is the first to provide a comprehensive, integrated overview of the microRNA-mRNA co-regulation networks that may have a key role in controlling post-transcriptomic regulation during endurance exercise.

Indexed as

AnimalsBiomarkersGene Expression RegulationHorsesMicroRNAsPhysical EnduranceRNA, MessengerBiomarkersMicroRNAsRNA, Messenger

Identifiers

PMID26960911
PMCPMC4785432
OpenAlexW2400700176

What OpenQuestion holds

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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.