The rating of perceived exertion is able to differentiate the post-matches metabolomic profile of elite U-20 soccer players

Marinho, Alisson Henrique; Sousa, Filipe Antônio de Barros; Vilela, Rubens de Alcântara Moura Pimentel; Balikian, Pedro; Bento, Edson de Souza; Aquino, Thiago de Mendonça; Crispim, Alessandre Carmo; Ataide-Silva, Thays; Araújo, Gustavo Gomes de

doi:10.1007/s00421-021-04838-7

Cited by 9 publications

(9 citation statements)

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“…These analyses are classified into targeted metabolomics, if a selected number of metabolites of interest are evaluated, and non-targeted metabolomics, when a global approach is employed ( Khoramipour et al, 2022 ). In fact, an increasing number of metabolomics studies has evaluated the metabolic profile of male and female high-level football players in different settings ( Al-Muraikhy et al, 2021 ; Alzharani et al, 2020 ; Cicero et al, 2016 ; Marinho et al, 2022 ; Pintus et al, 2021 ; Pitti et al, 2019 ; Prado et al, 2017 ; Quintas et al, 2020 ; Santone et al, 2014 ; da Cruz et al, 2022 ; Luti et al, 2022 ). In particular, metabolomic analyses have been conducted in plasma, urine, and saliva samples to characterize the metabolic impact of training sessions ( Cicero et al, 2016 ; Alzharani et al, 2020 ; Zhao et al, 2020 ), training programs ( Pintus et al, 2021 ), football matches ( Prado et al, 2017 ; Pitti et al, 2019 ), and entire competitive sessions in elite football players ( Quintas et al, 2020 ).…”

Section: Role Of Sportomics In Post-match Recoverymentioning

confidence: 99%

Biomarkers of post-match recovery in semi-professional and professional football (soccer)

et al. 2023

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High-level football (soccer) players face intense physical demands that result in acute and residual fatigue, impairing their physical performance in subsequent matches. Further, top-class players are frequently exposed to match-congested periods where sufficient recovery times are not achievable. To evaluate training and recovery strategies, the monitoring of players’ recovery profiles is crucial. Along with performance and neuro-mechanical impairments, match-induced fatigue causes metabolic disturbances denoted by changes in chemical analytes that can be quantified in different body fluids such as blood, saliva, and urine, thus acting as biomarkers. The monitoring of these molecules might supplement performance, neuromuscular and cognitive measurements to guide coaches and trainers during the recovery period. The present narrative review aims to comprehensively review the scientific literature on biomarkers of post-match recovery in semi-professional and professional football players as well as provide an outlook on the role that metabolomic studies might play in this field of research. Overall, no single gold-standard biomarker of match-induced fatigue exists, and a range of metabolites are available to assess different aspects of post-match recovery. The use of biomarker panels might be suitable to simultaneously monitoring these broad physiological processes, yet further research on fluctuations of different analytes throughout post-match recovery is warranted. Although important efforts have been made to address the high interindividual heterogeneity of available markers, limitations inherent to these markers might compromise the information they provide to guide recovery protocols. Further research on metabolomics might benefit from evaluating the long-term recovery period from a high-level football match to shed light upon new biomarkers of post-match recovery.

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Section: Role Of Sportomics In Post-match Recoverymentioning

confidence: 99%

Biomarkers of post-match recovery in semi-professional and professional football (soccer)

et al. 2023

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“…In order to direct the biological inference, FC, PCA, and PLS-DA analyses were used to identify which metabolites presented different relative abundances between the teams. In other studies, these mathematical models showed excellent performance in detecting metabolic changes after different situations and interventions in soccer [ 20 , 22 , 23 ]. In this study, both PCA and PLS-DA analyses enabled the construction of score plots revealing a clear separation between soccer players, evidencing that the metabolic profile of non-elite and elite teams were significantly different.…”

Section: Discussionmentioning

confidence: 92%

“…Despite the difficulty in sample preparation, instrumental availability, complexity of data analysis, and reduced practical dissemination of the metabolomics approach in soccer, Al-Khelaifi, et al [ 15 ] studied the profile of dietary metabolites present in the serum of elite athletes of various sports, including soccer. In addition, changes in the metabolic profile were investigated after soccer matches [ 16 , 17 , 18 , 19 , 20 ], acute and chronic physical training [ 21 , 22 , 23 , 24 ], and application of evaluation protocols [ 25 ]. However, untargeted metabolomic studies have not yet been used to differentiate the metabolic profile of soccer players at different competitive levels.…”

Section: Introductionmentioning

confidence: 99%

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

Cruz

Santos

Rasteiro

et al. 2022

Biology

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The purpose of this study was to use traditional physical assessments combined with a metabolomic approach to compare the anthropometric, physical fitness level, and serum fasting metabolic profile among U22 soccer players at different competitive levels. In the experimental design, two teams of male U22 soccer were evaluated (non-elite = 20 athletes, competing in a regional division; elite = 16 athletes, competing in the first division of the national U22 youth league). Earlobe blood samples were collected, and metabolites were extracted after overnight fasting (12 h). Untargeted metabolomics through Liquid Chromatograph Mass Spectrometry (LC-MS) analysis and anthropometric evaluation were performed. Critical velocity was applied to determine aerobic (CV) and anaerobic (ARC) capacity. Height (non-elite = 174.4 ± 7.0 cm; elite = 176.5 ± 7.0 cm), body mass index (non-elite = 22.1 ± 2.4 kg/m2; elite = 21.9 ± 2.3 kg/m2), body mass (non-elite = 67.1 ± 8.8 kg; elite = 68.5 ± 10.1 kg), lean body mass (non-elite = 59.3 ± 7.1 kg; elite = 61.1 ± 7.9 kg), body fat (non-elite = 7.8 ± 2.4 kg; elite = 7.3 ± 2.4 kg), body fat percentage (non-elite = 11.4 ± 2.4%; elite = 10.5 ± 1.7%), hematocrit (non-elite = 50.2 ± 4.0%; elite = 51.0 ± 4.0%), CV (non-elite = 3.1 ± 0.4 m/s; elite = 3.0 ± 0.2 m/s), and ARC (non-elite = 129.6 ± 55.7 m; elite = 161.5 ± 61.0 m) showed no significant differences between the elite and non-elite teams, while the multivariate Partial Least Squares Discriminant Analysis (PLS-DA) model revealed a separation between the elite and non-elite athletes. Nineteen metabolites with importance for projection (VIP) >1.0 were annotated as belonging to the glycerolipid, sterol lipid, fatty acyl, flavonoid, and glycerophospholipid classes. Metabolites with a high relative abundance in the elite group were related in the literature to a better level of aerobic power, greater efficiency in the recovery process, and improvement of mood, immunity, decision making, and accuracy, in addition to acting in mitochondrial preservation and electron transport chain maintenance. In conclusion, although classical physical assessments were not able to distinguish the teams at different competitive levels, the metabolomics approach successfully indicated differences between the fasting metabolic profiles of elite and non-elite teams.

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“…Results obtained showed different metabolic profile between athletes with higher and lower RPE values. Athletes with higher RPE values showed a high metabolite profile related to muscle damage (e.g., creatine, creatinine, and glycine) and energy production (e.g., creatine, formate, pyruvate, 1,3 dihydroxyacetone) 20 h post-soccer match (Marinho et al, 2022). Collectively, results indicate that metabolomics can detect changes linked to the physiological adaptation to external load, providing information about fatigue, physical capacity, and performance potentially useful in competitive sports.…”

Section: Introductionmentioning

confidence: 84%

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

et al. 2022

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Professional athletes undertake a variety of training programs to enhance their physical performance, technical-tactical skills, while protecting their health and well-being. Regular exercise induces widespread changes in the whole body in an extremely complex network of signaling, and evidence indicates that phenotypical sex differences influence the physiological adaptations to player load of professional athletes. Despite that there remains an underrepresentation of women in clinical studies in sports, including football. The objectives of this study were twofold: to study the association between the external load (EPTS) and urinary metabolites as a surrogate of the adaptation to training, and to assess the effect of sex on the physiological adaptations to player load in professional football players. Targeted metabolic analysis of aminoacids, and tryptophan and phenylalanine metabolites detected progressive changes in the urinary metabolome associated with the external training load in men and women’s football teams. Overrepresentation analysis and multivariate analysis of metabolic data showed significant differences of the effect of training on the metabolic profiles in the men and women teams analyzed. Collectively, our results demonstrate that the development of metabolic models of adaptation in professional football players can benefit from the separate analysis of women and men teams, providing more accurate insights into how adaptation to the external load is related to changes in the metabolic phenotypes. Furthermore, results support the use of metabolomics to understand changes in specific metabolic pathways provoked by the training process.

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The rating of perceived exertion is able to differentiate the post-matches metabolomic profile of elite U-20 soccer players

Cited by 9 publications

References 40 publications

Biomarkers of post-match recovery in semi-professional and professional football (soccer)

Biomarkers of post-match recovery in semi-professional and professional football (soccer)

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

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

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