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Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains

This study focused on the steady-state phase of exercise to evaluate the relative contribution of metabolic instability (measured with NIRS and haematochemical markers) and muscle activation (measured with EMG) to the oxygen consumption ([Formula: see text] ) slow component ([Formula: see text] ) in...

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Detalles Bibliográficos
Autores principales: Colosio, Alessandro L, Caen, Kevin, Bourgois, Jan G., Boone, Jan, Pogliaghi, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164613/
https://www.ncbi.nlm.nih.gov/pubmed/34009455
http://dx.doi.org/10.1007/s00424-021-02573-8
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author Colosio, Alessandro L
Caen, Kevin
Bourgois, Jan G.
Boone, Jan
Pogliaghi, Silvia
author_facet Colosio, Alessandro L
Caen, Kevin
Bourgois, Jan G.
Boone, Jan
Pogliaghi, Silvia
author_sort Colosio, Alessandro L
collection PubMed
description This study focused on the steady-state phase of exercise to evaluate the relative contribution of metabolic instability (measured with NIRS and haematochemical markers) and muscle activation (measured with EMG) to the oxygen consumption ([Formula: see text] ) slow component ([Formula: see text] ) in different intensity domains. We hypothesized that (i) after the transient phase, [Formula: see text] , metabolic instability and muscle activation tend to increase differently over time depending on the relative exercise intensity and (ii) the increase in [Formula: see text]  is explained by a combination of metabolic instability and muscle activation. Eight active men performed a constant work rate trial of 9 min in the moderate, heavy and severe intensity domains. [Formula: see text] , root mean square by EMG (RMS), deoxyhaemoglobin by NIRS ([HHb]) and haematic markers of metabolic stability (i.e. [La(−)], pH, HCO(3)(−)) were measured. The physiological responses in different intensity domains were compared by two-way RM-ANOVA. The relationships between the increases of [HHb] and RMS with [Formula: see text]  after the third min were compared by simple and multiple linear regressions. We found domain-dependent dynamics over time of [Formula: see text] , [HHb], RMS and the haematic markers of metabolic instability. After the transient phase, the rises in [HHb] and RMS showed medium–high correlations with the rise in [Formula: see text]  ([HHb] r = 0.68, p < 0.001; RMS r = 0.59, p = 0.002). Moreover, the multiple linear regression showed that both metabolic instability and muscle activation concurred to the [Formula: see text]  (r = 0.75, [HHb] p = 0.005, RMS p = 0.042) with metabolic instability possibly having about threefold the relative weight compared to recruitment. Seventy-five percent of the dynamics of the [Formula: see text]  was explained by [HHb] and RMS.
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spelling pubmed-81646132021-06-17 Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains Colosio, Alessandro L Caen, Kevin Bourgois, Jan G. Boone, Jan Pogliaghi, Silvia Pflugers Arch Integrative Physiology This study focused on the steady-state phase of exercise to evaluate the relative contribution of metabolic instability (measured with NIRS and haematochemical markers) and muscle activation (measured with EMG) to the oxygen consumption ([Formula: see text] ) slow component ([Formula: see text] ) in different intensity domains. We hypothesized that (i) after the transient phase, [Formula: see text] , metabolic instability and muscle activation tend to increase differently over time depending on the relative exercise intensity and (ii) the increase in [Formula: see text]  is explained by a combination of metabolic instability and muscle activation. Eight active men performed a constant work rate trial of 9 min in the moderate, heavy and severe intensity domains. [Formula: see text] , root mean square by EMG (RMS), deoxyhaemoglobin by NIRS ([HHb]) and haematic markers of metabolic stability (i.e. [La(−)], pH, HCO(3)(−)) were measured. The physiological responses in different intensity domains were compared by two-way RM-ANOVA. The relationships between the increases of [HHb] and RMS with [Formula: see text]  after the third min were compared by simple and multiple linear regressions. We found domain-dependent dynamics over time of [Formula: see text] , [HHb], RMS and the haematic markers of metabolic instability. After the transient phase, the rises in [HHb] and RMS showed medium–high correlations with the rise in [Formula: see text]  ([HHb] r = 0.68, p < 0.001; RMS r = 0.59, p = 0.002). Moreover, the multiple linear regression showed that both metabolic instability and muscle activation concurred to the [Formula: see text]  (r = 0.75, [HHb] p = 0.005, RMS p = 0.042) with metabolic instability possibly having about threefold the relative weight compared to recruitment. Seventy-five percent of the dynamics of the [Formula: see text]  was explained by [HHb] and RMS. Springer Berlin Heidelberg 2021-05-19 2021 /pmc/articles/PMC8164613/ /pubmed/34009455 http://dx.doi.org/10.1007/s00424-021-02573-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Integrative Physiology
Colosio, Alessandro L
Caen, Kevin
Bourgois, Jan G.
Boone, Jan
Pogliaghi, Silvia
Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title_full Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title_fullStr Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title_full_unstemmed Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title_short Metabolic instability vs fibre recruitment contribution to the [Formula: see text]  slow component in different exercise intensity domains
title_sort metabolic instability vs fibre recruitment contribution to the [formula: see text]  slow component in different exercise intensity domains
topic Integrative Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164613/
https://www.ncbi.nlm.nih.gov/pubmed/34009455
http://dx.doi.org/10.1007/s00424-021-02573-8
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