Int J Sports Med
DOI: 10.1055/a-2361-2840
1
Physiological Sciences, Federal University of Sao Carlos, São Carlos,
Brazil
,
Pedro Paulo Menezes Scariot
2
School of Applied Sciences, University of Campinas, Limeira,
Brazil
,
Marcelo Papoti
3
School of Physical Education and Sport of Ribeirão Preto, University of
São Paulo, Ribeirão Preto, Brazil
,
1
Physiological Sciences, Federal University of Sao Carlos, São Carlos,
Brazil
,
Emanuel Elias Camolese Polisel
2
School of Applied Sciences, University of Campinas, Limeira,
Brazil
,
2
School of Applied Sciences, University of Campinas, Limeira,
Brazil
,
Claudio Alexandre Gobatto
2
School of Applied Sciences, University of Campinas, Limeira,
Brazil
› Author Affiliations
Funding Information
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior —
http://dx.doi.org/10.13039/501100002322; 001
Fundação de Amparo à Pesquisa do Estado de São Paulo —
http://dx.doi.org/10.13039/501100001807; 2015/00272–6 2015/01362–9 2017/10201–4
2019/05115–7 2019/08148–3 2019/20930–9 2021/03951–2
Conselho Nacional de Desenvolvimento Científico e Tecnológico —
http://dx.doi.org/10.13039/501100003593; Process no 307718/2018–2 Process no
309832/2021–7 Process no 409521/2021–3
› Further Information
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Abstract
The aim of this study was to investigate the effect of 8 weeks of hypoxic
exposition and physical training on healthy mice femur outcomes analyzed through
conventional statistic and complex networks. The mice were divided into four
groups, subjected to physical training (T; 40 min per day at 80% of critical
velocity intensity) or not (N), exposed to hypoxic environment (“Living
High-Training Low” model – LHTL; 18 h per day, FIO2=19.5%; Hyp) or
not (Nor). The complex network analysis performed interactions among parameters
using values of critical “r” of 0.5 by Pearson correlations to edges
construction, with Fruchterman-Reingold layout adopted for graph visualization.
Pondered Degree, Betweenness, and Eigenvector metrics were chosen as centrality
metrics. Two-way ANOVA, t-test and Pearson correlation were used with P<0.05.
Femur phosphorus of T-Hyp was higher than all other groups (P<0.05) and
correlated with bone density (r=0.65; P=0.042), bone mineral density (r=0.67;
P=0.034) and% of mineral material (r=0.66, P=0.038). Overall, the complex
network demonstrated improvements in bone volume, % of mineral material, bone
density, and bone mineral density for T-Hyp over other groups. Association of
physical training and hypoxia improved bone quality for healthy mice.
Keywords
hypoxic environment -
bone mineral density -
critical velocity -
physical training -
animal model -
femur
Publication History
Received: 07 March 2024
Accepted: 01 July 2024
Article published online:
13 November 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
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