Korzeniewski B. P
i-based biochemical mechanism of endurance-training-induced improvement of running performance in humans.
Eur J Appl Physiol 2024:10.1007/s00421-024-05560-w. [PMID:
39287637 DOI:
10.1007/s00421-024-05560-w]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 07/10/2024] [Indexed: 09/19/2024]
Abstract
PURPOSE
Endurance training improves running performance in distances where oxidative phosphorylation (OXPHOS) is the main ATP source. Here, a dynamic computer model is used to assess possible biochemical mechanisms underlying this improvement.
METHODS
The dynamic computer model is based on the "Pi double-threshold" mechanism of muscle fatigue, according to which the additional ATP usage appears when (1) inorganic phosphate (Pi) exceeds a critical value (Picrit); (2) exercise is terminated because of fatigue, when Pi reaches a peak value (Pipeak); (3) the Pi increase and additional ATP usage increase mutually stimulate each other.
RESULTS
The endurance-training-induced increase in oxidative phosphorylation (OXPHOS) activity attenuates the reaching of Pipeak by Pi (and thus of V ˙ O2max by V ˙ O2) at increased power output. This in turn allows a greater work intensity, and thus higher speed, to be achieved before exercise is terminated because of fatigue at the end of the 1500 m run. Thus, identical total work is performed in a shorter time. Probably, endurance training also lowers Pipeak, which improves the homeostasis of "bioenergetic" muscle metabolites: ADP, PCr, Pi and H+ ions.
CONCLUSIONS
The present dynamic computer model generates clear predictions of metabolic changes that limit performance during 1500 m running. It contributes to our mechanistic understanding of training-induced improvement in running performance and stimulates further physiological experimental studies.
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