Evidence map›Paper›PMID 31245385›Full record

ArticleFrontiers in molecular biosciences2019

A First Step Toward Unraveling the Energy Metabolism in Endurance Horses: Comparison of Plasma Nuclear Magnetic Resonance Metabolomic Profiles Before and After Different Endurance Race Distances.

Laurence Le Moyec, Céline Robert, Mohamed N Triba, Nadia Bouchemal, Núria Mach, Julie Rivière, Emmanuelle Zalachas-Rebours, Eric Barrey

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
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  6. Review
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  12. The Genetics of Racing Performance in Arabian Horses.International journal of genomics · 2019
    Review
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

8 authors at 4 institutions in 1 country.

Laurence Le MoyecUBIAE EA 7362, Université Evry, Université Paris-Saclay, Évry, France.
Céline RobertAnimal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Mohamed N TribaCSPBAT, UMR 7244, CNRS, Université Paris 13, Sorbonne Paris Cité, Bobigny, France.
Nadia BouchemalCSPBAT, UMR 7244, CNRS, Université Paris 13, Sorbonne Paris Cité, Bobigny, France.
Núria MachAnimal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Julie RivièreAnimal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Emmanuelle Zalachas-ReboursAnimal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Eric BarreyAnimal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
AgroParisTech · FRCentre National de la Recherche Scientifique · FRÉcole Nationale Vétérinaire d'Alfort · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endurance racing places high demands on energy metabolism pathways. Metabolomics can be used to investigate biochemical responses to endurance exercise in humans, laboratory animals, and horses. Although endurance horses have previously been assessed in the field (i.e., during races) using broad-window Nuclear Magnetic Resonance metabolomics, these studies included several different race locations, race distances, age classes, and race statuses (finisher or elimination). The present NMR metabolomics study focused on 40 endurance horses racing in three race categories over 90, 120, or 160 km. The three races took place in the same location. Given that energy metabolism is closely related to exercise intensity and duration (and therefore distance covered), the study's objective was to determine whether the metabolic pathways recruited during the race varied as a function of the total ride distance. For each horse, a plasma sample was collected the day before the race, and another was collected at the end of the race. Sixteen, 15, and 9 horses raced over 90, 120, and 160 km, respectively. Proton NMR spectra (500 MHz) were acquired for these 80 plasma samples. After processing, the spectra were divided into bins representing the NMR variables and then classified using orthogonal projection on latent structure models supervised by the sampling time (pre- or post-race) or the distance covered. The models revealed that the post-race metabolomic profiles are associated to the total ride distance groups. By combining biochemical assay results and NMR data in multiblock models, we further showed that enzymatic activities and metabolites are significantly associated to the race category. In the highest race category (160 km), there appears to be a metabolic switch from carbohydrate consumption to lipid consumption in order to maintain glycaemia. Furthermore, signs of protein breakdown were more apparent in the longest race category. The metabolic shift seen in the different racing categories could be related to a mixture of three important factors that are the ride distance, the training status and the inherited endurance capacity of the various horses competing.

Indexed as

biochemistryenduranceenergeticsexercise physiologyhorselong exercisemetabolomicsNMR

Identifiers

PMID31245385
PMCPMC6581711
OpenAlexW2952366463

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.