Evidence map›Paper›PMID 33572513›Full record

ArticleMetabolites2021

Metabolic Predictors of Equine Performance in Endurance Racing.

Anna Halama, Joao M Oliveira, Silvio A Filho, Muhammad Qasim, Iman W Achkar, Sarah Johnson, Karsten Suhre, Tatiana Vinardell

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 10 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

8 authors at 2 institutions in 1 country.

Anna HalamaDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha 24144, Qatar.ORCID 0000-0003-4910-6255
Joao M OliveiraEquine Veterinary Medical Center, Qatar Foundation, Doha 5825, Qatar.ORCID 0000-0002-9188-7895
Silvio A FilhoDepartment of Endurance Racing, Al Shaqab, Doha 36623, Qatar.
Muhammad QasimEquine Veterinary Medical Center, Qatar Foundation, Doha 5825, Qatar.
Iman W AchkarDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha 24144, Qatar.ORCID 0000-0003-3197-7108
Sarah JohnsonEquine Veterinary Medical Center, Qatar Foundation, Doha 5825, Qatar.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha 24144, Qatar.
Tatiana VinardellEquine Veterinary Medical Center, Qatar Foundation, Doha 5825, Qatar.ORCID 0000-0002-4902-6725
Equine Veterinary Medical Center · QAWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equine performance in endurance racing depends on the interplay between physiological and metabolic processes. However, there is currently no parameter for estimating the readiness of animals for competition. Our objectives were to provide an in-depth characterization of metabolic consequences of endurance racing and to establish a metabolic performance profile for those animals. We monitored metabolite composition, using a broad non-targeted metabolomics approach, in blood plasma samples from 47 Arabian horses participating in endurance races. The samples were collected before and after the competition and a total of 792 metabolites were measured. We found significant alterations between before and after the race in 417 molecules involved in lipids and amino acid metabolism. Further, even before the race starts, we found metabolic differences between animals who completed the race and those who did not. We identified a set of six metabolite predictors (imidazole propionate, pipecolate, ethylmalonate, 2R-3R-dihydroxybutyrate, β-hydroxy-isovalerate and X-25455) of animal performance in endurance competition; the resulting model had an area under a receiver operating characteristic (AUC) of 0.92 (95% CI: 0.85-0.98). This study provides an in-depth characterization of metabolic alterations driven by endurance races in equines. Furthermore, we showed the feasibility of identifying potential metabolic signatures as predictors of animal performance in endurance competition.

Indexed as

amino acid metabolismArabian horsesendurance racefatty acid oxidationmetabolomics

Identifiers

PMID33572513
PMCPMC7912089
OpenAlexW3126830621

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.