Evidence map›Paper›PMID 40553263›Full record

ArticleSports medicine - open2025

Longitudinal NMR-based Metabolomics Analysis of Male Mountain Ultramarathon Runners: New Perspectives for Athletes Monitoring and Injury Prevention.

Matthieu Schoumacher, Julie Nguyen, Eric Brevers, Arianna Cirillo, Manon Campas, Elodie Grifnée, Justine Demeuse, Loreen Huyghebaert, Philippe Massonnet, Thomas Dubrowski and 8 more

Abstract read
In one paragraph

Article in Sports medicine - open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

18 authors.

Matthieu SchoumacherClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium. m.schoumacher@uliege.be.
Julie NguyenClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Eric BreversDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Arianna CirilloClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Manon CampasClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Elodie GrifnéeDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Justine DemeuseDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Loreen HuyghebaertDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Philippe MassonnetDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Thomas DubrowskiDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Joy LedeckDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Stéphanie PeetersDepartment of Clinical Chemistry, University and University Hospital of Liège, Liège, Belgium.
Grégoire P MilletInstitute of Sport Sciences of the University of Lausanne (ISSUL), Lausanne, Switzerland.
Pierre CroisilleUniv-Lyon, UJM-Saint-Etienne, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1206, F-42023, Saint-Etienne, France.
Jean-François KauxDepartment of Physical and Rehabilitation Medicine & Sports Traumatology, SportS2, FIFA Medical Centre of Excellence, IOC Research Centre for Prevention of Injury and Protection of Athlete Health (ReFORM), FIMS Collaborative Centre of Sport Medicine, University and University Hospital of Liège, Liège, Belgium.
Pascal de TullioClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Etienne CavalierClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium.
Caroline Le GoffClinical Metabolomics Group (CliMe), Center for Interdisciplinary Research On Medicines (CIRM), University of Liège, Liège, Belgium. c.legoff@chuliege.be.ORCID http://orcid.org/0000-0001-7816-3705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to explore how a metabolomic approach could provide valuable information on changes in the athletes' metabolome during a mountain ultramarathon race. To achieve this goal, we established a longitudinal cohort of athletes enrolled in the TOR des Géants, a 330 km mountain ultramarathon with 24,000 m of elevation gain. Sixteen healthy male athletes (43.9 ± 10.1 years) were recruited, and blood samples were collected at four time points: pre-race, mid-race, post-race and after 72 h recovery. Using a 1H-NMR-based metabolomic approach, we evaluated metabolic changes that occur during both race effort and recovery, and correlated them with functional muscle, cardiac, inflammatory, and renal biomarkers already used in the clinic. The processed data were analyzed using multivariate analysis tools specific to longitudinal study design, and innovative pathway analysis was used for data interpretation.

resultsMountain ultramarathon running significantly affected the metabolism and physiology of athletes. Multivariate analysis highlighted specific metabolites and functional biomarkers associated with prolonged exercise. Neither metabolite levels nor biomarker concentrations returned to baseline after 3 days of recovery. Finally, innovative pathway analysis shed light on specific metabolic changes resulting from mountain ultramarathon exercise.

conclusionIn this study, we propose an NMR-based metabolomics strategy to assess exercise-associated metabolic changes during and after events such as the Tor des Géants. Using state-of-the-art data representation methods specific to metabolomics analysis, we demonstrated that such a methodology can provide a unique view of the biology associated with such extreme conditions. As this approach provides unique insights into the biology of extreme exercise, it holds promise for the development of new tools for athlete management.

Indexed as

Exercise metabolismInjury preventionNMR metabolomicsPersonalized monitoringUltramarathon

Identifiers

PMID40553263
PMCPMC12187627

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.