Literature DB >> 19196912

Systematic analysis of adaptations in aerobic capacity and submaximal energy metabolism provides a unique insight into determinants of human aerobic performance.

Niels B J Vollaard1, Dimitru Constantin-Teodosiu, Katarina Fredriksson, Olav Rooyackers, Eva Jansson, Paul L Greenhaff, James A Timmons, Carl Johan Sundberg.   

Abstract

It has not been established which physiological processes contribute to endurance training-related changes (Delta) in aerobic performance. For example, the relationship between intramuscular metabolic responses at the intensity used during training and improved human functional capacity has not been examined in a longitudinal study. In the present study we hypothesized that improvements in aerobic capacity (Vo(2max)) and metabolic control would combine equally to explain enhanced aerobic performance. Twenty-four sedentary males (24 +/- 2 yr; 1.81 +/- 0.08 m; 76.6 +/- 11.3 kg) undertook supervised cycling training (45 min at 70% of pretraining Vo(2max)) 4 times/wk for 6 wk. Performance was determined using a 15-min cycling time trial, and muscle biopsies were taken before and after a 10-min cycle at 70% of pretraining Vo(2max) to quantify substrate metabolism. Substantial interindividual variability in training-induced adaptations was observed for most parameters, yet "low responders" for DeltaVo(2max) were not consistently low responders for other variables. While Vo(2max) and time trial performance were related at baseline (r(2) = 0.80, P < 0.001), the change in Vo(2max) was completely unrelated to the change in aerobic performance. The maximal parameters DeltaVe(max) and DeltaVeq(max) (DeltaVe/Vo(2max)) accounted for 64% of the variance in DeltaVo(2max) (P < 0.001), whereas Deltaperformance was related to changes in the submaximal parameters Veq(submax) (r(2) = 0.33; P < 0.01), muscle Deltalactate (r(2) = 0.32; P < 0.01), and Deltaacetyl-carnitine (r(2) = 0.29; P < 0.05). This study demonstrates that improvements in high-intensity aerobic performance in humans are not related to altered maximal oxygen transport capacity. Altered muscle metabolism may provide the link between training stimulus and improved performance, but metabolic parameters do not change in a manner that relates to aerobic capacity changes.

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Year:  2009        PMID: 19196912     DOI: 10.1152/japplphysiol.91453.2008

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  62 in total

1.  'Combining hypoxic methods for peak performance': a biomedical engineering perspective.

Authors:  Oleg Bassovitch
Journal:  Sports Med       Date:  2010-06-01       Impact factor: 11.136

Review 2.  Genomics and genetics in the biology of adaptation to exercise.

Authors:  Claude Bouchard; Tuomo Rankinen; James A Timmons
Journal:  Compr Physiol       Date:  2011-07       Impact factor: 9.090

Review 3.  Cardiac parasympathetic reactivation following exercise: implications for training prescription.

Authors:  Jamie Stanley; Jonathan M Peake; Martin Buchheit
Journal:  Sports Med       Date:  2013-12       Impact factor: 11.136

4.  Monitoring endurance running performance using cardiac parasympathetic function.

Authors:  Martin Buchheit; A Chivot; J Parouty; D Mercier; H Al Haddad; P B Laursen; S Ahmaidi
Journal:  Eur J Appl Physiol       Date:  2009-12-22       Impact factor: 3.078

5.  Using molecular classification to predict gains in maximal aerobic capacity following endurance exercise training in humans.

Authors:  James A Timmons; Steen Knudsen; Tuomo Rankinen; Lauren G Koch; Mark Sarzynski; Thomas Jensen; Pernille Keller; Camilla Scheele; Niels B J Vollaard; Søren Nielsen; Thorbjörn Akerström; Ormond A MacDougald; Eva Jansson; Paul L Greenhaff; Mark A Tarnopolsky; Luc J C van Loon; Bente K Pedersen; Carl Johan Sundberg; Claes Wahlestedt; Steven L Britton; Claude Bouchard
Journal:  J Appl Physiol (1985)       Date:  2010-02-04

Review 6.  Variability in Individual Response to Aerobic Exercise Interventions Among Older Adults.

Authors:  Mary O Whipple; Erica N Schorr; Kristine M C Talley; Ruth Lindquist; Ulf G Bronas; Diane Treat-Jacobson
Journal:  J Aging Phys Act       Date:  2018-06-20       Impact factor: 1.961

Review 7.  High-intensity interval training, solutions to the programming puzzle: Part I: cardiopulmonary emphasis.

Authors:  Martin Buchheit; Paul B Laursen
Journal:  Sports Med       Date:  2013-05       Impact factor: 11.136

8.  High responders and low responders: factors associated with individual variation in response to standardized training.

Authors:  Theresa N Mann; Robert P Lamberts; Michael I Lambert
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

9.  Inter-individual variability in adaptation of the leg muscles following a standardised endurance training programme in young women.

Authors:  Jamie S McPhee; Alun G Williams; Hans Degens; David A Jones
Journal:  Eur J Appl Physiol       Date:  2010-04-06       Impact factor: 3.078

10.  Selectively bred rat model system for low and high response to exercise training.

Authors:  Lauren Gerard Koch; Geoffrey E Pollott; Steven L Britton
Journal:  Physiol Genomics       Date:  2013-05-28       Impact factor: 3.107

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