Literature DB >> 32222832

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

Guillermo Quintas1, Xavier Reche2, Juan Daniel Sanjuan-Herráez3, Helena Martínez4, Marta Herrero4, Xavier Valle2, Marc Masa3, Gil Rodas5,6.   

Abstract

INTRODUCTION: The 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.
OBJECTIVE: To 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.
METHODS: Urine 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.
RESULTS: PLS 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.
CONCLUSIONS: There 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.

Entities:  

Keywords:  EPTS; External load; Football; Internal load; Metabolomics; Sports; Training

Mesh:

Substances:

Year:  2020        PMID: 32222832     DOI: 10.1007/s11306-020-01668-0

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  31 in total

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Authors:  Julia Kuligowski; Ángel Sánchez-Illana; Daniel Sanjuán-Herráez; Máximo Vento; Guillermo Quintás
Journal:  Analyst       Date:  2015-11-21       Impact factor: 4.616

2.  (1)H NMR-based metabolomics approach for exploring urinary metabolome modifications after acute and chronic physical exercise.

Authors:  C Enea; F Seguin; J Petitpas-Mulliez; N Boildieu; N Boisseau; N Delpech; V Diaz; M Eugène; B Dugué
Journal:  Anal Bioanal Chem       Date:  2009-11-27       Impact factor: 4.142

Review 3.  A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding.

Authors:  Piotr S Gromski; Howbeer Muhamadali; David I Ellis; Yun Xu; Elon Correa; Michael L Turner; Royston Goodacre
Journal:  Anal Chim Acta       Date:  2015-02-11       Impact factor: 6.558

Review 4.  Non-targeted metabolomics in sport and exercise science.

Authors:  Liam M Heaney; Kevin Deighton; Toru Suzuki
Journal:  J Sports Sci       Date:  2017-03-27       Impact factor: 3.337

5.  Accuracy, intra- and inter-unit reliability, and comparison between GPS and UWB-based position-tracking systems used for time-motion analyses in soccer.

Authors:  Alejandro Bastida Castillo; Carlos D Gómez Carmona; Ernesto De la Cruz Sánchez; José Pino Ortega
Journal:  Eur J Sport Sci       Date:  2018-01-31       Impact factor: 4.050

6.  Characterizing the plasma metabolome during and following a maximal exercise cycling test.

Authors:  Faizal A Manaf; Nathan Lawler; Jeremiah J Peiffer; Garth L Maker; Mary C Boyce; Timothy J Fairchild; David Broadhurst
Journal:  J Appl Physiol (1985)       Date:  2018-08-02

7.  Energy metabolism during repeated sets of leg press exercise leading to failure or not.

Authors:  Esteban M Gorostiaga; Ion Navarro-Amézqueta; José A L Calbet; Ylva Hellsten; Roser Cusso; Mario Guerrero; Cristina Granados; Miriam González-Izal; Javier Ibañez; Mikel Izquierdo
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

8.  Assessing the performance of statistical validation tools for megavariate metabolomics data.

Authors:  Carina M Rubingh; Sabina Bijlsma; Eduard P P A Derks; Ivana Bobeldijk; Elwin R Verheij; Sunil Kochhar; Age K Smilde
Journal:  Metabolomics       Date:  2006-07-11       Impact factor: 4.290

9.  Predicting network activity from high throughput metabolomics.

Authors:  Shuzhao Li; Youngja Park; Sai Duraisingham; Frederick H Strobel; Nooruddin Khan; Quinlyn A Soltow; Dean P Jones; Bali Pulendran
Journal:  PLoS Comput Biol       Date:  2013-07-04       Impact factor: 4.475

10.  MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis.

Authors:  Jasmine Chong; Othman Soufan; Carin Li; Iurie Caraus; Shuzhao Li; Guillaume Bourque; David S Wishart; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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  5 in total

1.  Metabolomic response to collegiate football participation: Pre- and Post-season analysis.

Authors:  Nicole L Vike; Sumra Bari; Khrystyna Stetsiv; Thomas M Talavage; Eric A Nauman; Linda Papa; Semyon Slobounov; Hans C Breiter; Marilyn C Cornelis
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

2.  Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring.

Authors:  Lluc Montull; Agne Slapšinskaitė-Dackevičienė; John Kiely; Robert Hristovski; Natàlia Balagué
Journal:  Sports Med Open       Date:  2022-03-26

Review 3.  Metabolomics in Team-Sport Athletes: Current Knowledge, Challenges, and Future Perspectives.

Authors:  Tindaro Bongiovanni; Mathieu Lacome; Vassilios Fanos; Giulia Martera; Erika Cione; Roberto Cannataro
Journal:  Proteomes       Date:  2022-08-10

4.  A Metabolomic Approach and Traditional Physical Assessments to Compare U22 Soccer Players According to Their Competitive Level.

Authors:  João Pedro da Cruz; Fábio Neves Dos Santos; Felipe Marroni Rasteiro; Anita Brum Marostegan; Fúlvia Barros Manchado-Gobatto; Claudio Alexandre Gobatto
Journal:  Biology (Basel)       Date:  2022-07-25

5.  A targeted metabolic analysis of football players and its association to player load: Comparison between women and men profiles.

Authors:  Gil Rodas; Eva Ferrer; Xavier Reche; Juan Daniel Sanjuan-Herráez; Alan McCall; Guillermo Quintás
Journal:  Front Physiol       Date:  2022-09-30       Impact factor: 4.755

  5 in total

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