Evidence map›Paper›PMID 33184375›Full record

ArticleScientific reports2020

Metabolomics profiling of plasma, urine and saliva after short term training in young professional football players in Saudi Arabia.

Mansour A Alzharani, Ghareeb O Alshuwaier, Khalid S Aljaloud, Naser F Al-Tannak, David G Watson

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  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. Review
  4. Article
  5. 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
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. An epidemiological introduction to human metabolomic investigations.Trends in endocrinology and metabolism: TEM · 2023
    Review
  15. Article
  16. Review
  17. Osteoarthritis and cartilage open · 2022
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Mansour A AlzharaniPoison Control and Forensic Chemistry Center, Ministry of Health, P.O. Box 42351, Medina, Kingdom of Saudi Arabia. mansour-1399@hotmail.com.
Ghareeb O AlshuwaierDepartment of Exercise Physiology, College of Sport Sciences and Physical Activity, King Saud University, Building 69, P.O. Box 1949, 11441, Riyadh, Kingdom of Saudi Arabia.
Khalid S AljaloudDepartment of Exercise Physiology, College of Sport Sciences and Physical Activity, King Saud University, Building 69, P.O. Box 1949, 11441, Riyadh, Kingdom of Saudi Arabia.
Naser F Al-TannakDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Kuwait University, Kuwait City, Kuwait. Dr.altannak@ku.edu.kw.
David G WatsonStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161, Cathedral Street, Glasgow, G4 0RE 1, Scotland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics profiling was carried out to observe the effect of short-term intensive physical activity on the metabolome of young Saudi professional football players. Urine, plasma and saliva were collected on 2 days pre- and post-training. An Orbitrap Exactive mass spectrometer was used to analyze the samples. A reversed-phase (RP) column was used for the analysis of non-polar plasma metabolites, and a ZIC-pHILIC column was used for the analysis of plasma, saliva and urine. mzMine was used to extract the data, and the results were modelled using Simca-P 14.1 software. There was no marked variation in the metabolite profiles between pre day 1 and 2 or between post day 1 and 2 according to principal components analysis (PCA). When orthogonal partial least squares (OPLSDA) modelling was also used, and then models could be fitted based on a total number of metabolites of 75, 16 and 32 for urine, plasma and saliva using hydrophilic interaction chromatography (HILIC) and 6 for analysis of plasma with reversed-phase (RP) chromatography respectively. The present study concludes that acylcarnitine may increase post-exercise in football players suggesting that they may burn fat rather than glucose. The levels of carnitine metabolites in plasma post-exercise could provide an important indicator of fitness.

Indexed as

FootballMetabolomeAdultAthletesAthletic PerformanceHumansMalePlasmaSalivaSaudi ArabiaUrinalysisYoung Adult

Identifiers

PMID33184375
PMCPMC7665217

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.