Review Article Open access Peer reviewed

Microbial Magic: Decoding the Impact of Hypoxia on Exercise Physiology through Microbiota Dynamics

Authors

Mustapha Abdulsalam1https://orcid.org/0000-0001-7969-0822, Sarah Natour1, Iman Bala Rabiu2, Muhammed Abdulazeez1
  1. Department of Microbiology, Skyline University Nigeria
  2. Department of Physiotherapy, Skyline University Nigeria
Received
Published
DOI https://doi.org/10.55006/biolsciences.2024.4308 Citation Biological Sciences, Vol. 4 No. 3 (2024), 736-745

Abstract

This study explores the intricate interplay between microbiota, hypoxia-induced physiological adaptations, and exercise physiology. In a time where understanding the nuanced connections between microbial communities and human health is gaining prominence. The present study fills a significant research gap by exploring the processes by which microbiota modification alters physiological responses to hypoxic environments during exercise. The objective of this study is to disentangle the microbial metabolic discourse that unfurls in the context of hypoxia-induced physiological adaptations, thereby shedding light on potential avenues for enhancing exercise performance and optimizing health outcomes. This study presents a synthesis of existing knowledge to discern significant patterns and insights. This study divulges the multifaceted relationships between microbiota composition, host metabolism, immune responses, and exercise-induced hypoxic adaptations by analyzing the existing work. The findings of this analysis highlight the crucial job of microbiota in modulating host responses to hypoxia, impacting metabolic pathways, oxygen transport, and cellular signaling. This study contributes to the advancing field of exercise physiology by elucidating the intricate connections between microbial communities and hypoxia-induced physiological adaptations. It emphasizes the significance of considering the microbiota as an integral component of the exercise response, opening up new avenues for innovative strategies to optimize exercise outcomes.

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