Evidence map›Paper›PMID 32222832›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2020

Urine metabolomic analysis for monitoring internal load in professional football players.

Guillermo Quintas, Xavier Reche, Juan Daniel Sanjuan-Herráez, Helena Martínez, Marta Herrero, Xavier Valle, Marc Masa, Gil Rodas

Abstract read
PubMed Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Metabolomics analyses and physical interventions in soccer: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2024
    Pooled it
  3. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
  4. Urinary metabolomic signatures of muscle injury and recovery in elite football players.Metabolomics : Official journal of the Metabolomic Society · 2026
    Observational
  5. NMR-based metabolomics profile during a soccer season of a sub-elite soccer team.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  6. Article
  7. Article
  8. Energy production pathways of female soccer players during championships: a metabolomics approach.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  9. Article
  10. Early changes in urineMetabolomics : Official journal of the Metabolomic Society · 2025
    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

8 authors at 3 institutions in 1 country.

Guillermo QuintasHealth & Biomedicine Unit, Leitat Technological Center, Terrassa, Spain. gquintas@leitat.org.
Xavier RecheMedical and Performance Department, Futbol Club Barcelona, Barcelona, Spain.
Juan Daniel Sanjuan-HerráezHealth & Biomedicine Unit, Leitat Technological Center, Terrassa, Spain.
Helena MartínezBioiberica, Barcelona, Spain.
Marta HerreroBioiberica, Barcelona, Spain.
Xavier ValleMedical and Performance Department, Futbol Club Barcelona, Barcelona, Spain.
Marc MasaHealth & Biomedicine Unit, Leitat Technological Center, Terrassa, Spain.
Gil RodasMedical and Performance Department, Futbol Club Barcelona, Barcelona, Spain. gil.rodas@fcb.cat.
Leitat Technological Center · ESBioibérica (Spain) · ESFC Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe design of training programs for football players is not straightforward due to intra- and inter-individual variability that leads to different physiological responses under similar training loads.

objectiveTo study the association between the external load, defined by variables obtained using electronic performance tracking systems (EPTS), and the urinary metabolome as a surrogate of the metabolic adaptation to training.

methodsUrine metabolic and EPTS data from 80 professional football players collected in an observational longitudinal study were analyzed by ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry and assessed by partial least squares (PLS) regression.

resultsPLS models identified steroid hormone metabolites, hypoxanthine metabolites, acetylated amino acids, intermediates in phenylalanine metabolism, tyrosine, tryptophan metabolites, and riboflavin among the most relevant variables associated with external load. Metabolic network analysis identified enriched pathways including steroid hormone biosynthesis and metabolism of tyrosine and tryptophan. The ratio of players showing a deviation from the PLS model of adaptation to exercise was higher among those who suffered a muscular lesion compared to those who did not.

conclusionsThere was a significant association between the external load and the urinary metabolic profile, with alteration of biochemical pathways associated with long-term adaptation to training. Future studies should focus on the validation of these findings and the development of metabolic models to identify professional football players at risk of developing muscular injuries.

Indexed as

MetabolomicsSoccerAdolescentAmino AcidsGonadal Steroid HormonesHumansHypoxanthineLeast-Squares AnalysisMalePhenylalanineRiboflavinTryptophanTyrosineYoung AdultAmino AcidsGonadal Steroid HormonesHypoxanthinePhenylalanineRiboflavinTryptophanTyrosineEPTSExternal loadFootballInternal loadMetabolomicsSportsTraining

Identifiers

PMID32222832
OpenAlexW3013609229

What OpenQuestion holds

Textmetadata
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.