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Andreas Apostolidis, Vassilis Mougios, Ilias Smilios, Johanna Rodosthenous and Marios Hadjicharalambous

oxidation 1.4 (0.5) g·min −1 . Blood Metabolites Plasma glucose (Figure  3A ) exhibited significant treatment ( F 1,18  = 12.78; P  = .002) and time ( F 3,60  = 13.17, P  < .001) main effects, and an interaction between treatment and time ( F 2,45  = 5.01; P  = .007). Plasma glucose was higher with

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Anthony Couderc, Claire Thomas, Mathieu Lacome, Julien Piscione, Julien Robineau, Rémi Delfour-Peyrethon, Rachel Borne and Christine Hanon

Purpose:

To investigate the running demands and associated metabolic perturbations during an official rugby sevens tournament.

Methods:

Twelve elite players participated in 7 matches wearing GPS units. Maximal sprinting speed (MSS) and maximal aerobic speed (MAS) were measured. High-intensity threshold was individualized relative to MAS (>100% of MAS), and very-high-intensity distance was reported relative to both MAS and MSS. Blood samples were taken at rest and after each match.

Results:

Comparison of prematch and postmatch samples revealed significant (P < .01) changes in pH (7.41–7.25), bicarbonate concentration ([HCO3]) (24.8–13.6 mmol/L), and lactate concentration ([La]) (2.4–11.9 mmol/L). Mean relative total distance covered was 91 ± 13 m/min with ~17 m/min at high-intensity. Player status (whole-match or interchanged players), match time, and total distance covered had no significant impact on metabolic indices. Relative distance covered at high intensity was negatively correlated with pH and [HCO3] (r = .44 and r = .42, respectively; P < .01) and positively correlated with [La] (r = .36; P < .01). Total distance covered and distance covered at very high intensity during the 1-min peak activity in the last 3 min of play were correlated with [La] (r = .39 and r = .39, respectively; P < .01).

Conclusions:

Significant alterations in blood-metabolite indices from prematch to postmatch sampling suggest that players were required to tolerate a substantial level of acidosis related to metabolite accumulation. In addition, the ability to produce energy via the glycolytic energy pathway seems to be a major determinant in match-related running performance.

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Manuel D. Quinones and Peter W.R. Lemon

. Statistical Analysis Statistical analyses were performed using SigmaPlot for Windows (version 12.0, SYSTAT, San Jose, CA). All data were tested for normality and a nonparametric test (analysis of variance on ranks test) was used if a data set was not normally distributed. Blood metabolite concentrations and

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Edward A. Gray, Thomas A. Green, James A. Betts and Javier T. Gonzalez

displayed as dashed lines or open circles, respectively. Blood metabolites During recovery, blood glucose concentrations increased to a peak at ∼60 min before decreasing to baseline concentrations (time effect, p  < .01), with no differences between trials during recovery or during the exercise capacity

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Blair Crewther, Konrad Witek, Paweł Draga, Piotr Zmijewski and Zbigniew Obmiński

unusual symptoms immediately after the DAA block or between treatments. One study conducted a full clinical analysis of blood metabolites in men taking DAA (2.66 g/day) for 90 days, including TC, TG, urea, AST, and ALT ( D’Aniello et al., 2012 ). All parameters were apparently within a normal

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Kristin L. Jonvik, Jan-Willem van Dijk, Joan M.G. Senden, Luc J.C. van Loon and Lex B. Verdijk

. , Kjaer , M. , & Bangsbo , J. ( 2006 ). Muscle and blood metabolites during a soccer game: Implications for sprint performance . Medicine & Science in Sports & Exercise, 38 ( 6 ), 1165 – 1174 . PubMed ID: 16775559 doi:10.1249/01.mss.0000222845.89262.cd 10.1249/01.mss.0000222845.89262.cd

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Achraf Ammar, Stephen J. Bailey, Omar Hammouda, Khaled Trabelsi, Nabil Merzigui, Kais El Abed, Tarak Driss, Anita Hökelmann, Fatma Ayadi, Hamdi Chtourou, Adnen Gharbi and Mouna Turki

JA , Jimenez-Reyes P , Cuadrado-Penafiel V , Lozano E , Ortega-Becerra M , Párraga J . Relationships between repeated sprint ability, mechanical parameters, and blood metabolites in professional soccer players . J Strength Cond Res . 2015 ; 29 ( 6 ): 1673 – 1682 . PubMed ID

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Peter Ibbott, Nick Ball, Marijke Welvaert and Kevin G. Thompson

. Izquierdo M , González-Izal M , Navarro-Amezqueta I , et al . Effects of strength training on muscle fatigue mapping from surface EMG and blood metabolites . Med Sci Sports Exerc . 2011 ; 43 ( 2 ): 303 – 311 . PubMed ID: 20581711 doi:10.1249/MSS.0b013e3181edfa96 10.1249/MSS.0b013e3181edfa96

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Rachel Lohman, Amelia Carr and Dominique Condo

.1111/sms.12748 Krustrup , P. , Mohr , M. , Steensberg , A. , Bencke , J. , Kjær , M. , & Bangsbo , K. ( 2006 ). Muscle and blood metabolites during a soccer game: Implications for sprint performance . Medicine & Science in Sports & Exercise, 38 ( 6 ), 1165 – 1174 . PubMed ID: 16775559 doi

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Paola Rodriguez-Giustiniani, Ian Rollo, Oliver C. Witard and Stuart D. R. Galloway

.jsams.2013.04.010 10.1016/j.jsams.2013.04.010 Krustrup , P. , Mohr , M. , Steensberg , A. , Bencke , J. , Kiaer , M. , & Bangsbo , J. ( 2006 ). Muscle and blood metabolites during a soccer game: Implications for sprint performance . Medicine and Science in Sport and Exercise, 38 ( 6 ), 1165