{"title":"Network Physiology of Exercise: Beyond Molecular and Omics Perspectives.","authors":"Natàlia Balagué, Robert Hristovski, Maricarmen Almarcha, Sergi Garcia-Retortillo, Plamen Ch Ivanov","doi":"10.1186/s40798-022-00512-0","DOIUrl":null,"url":null,"abstract":"<p><p>Molecular Exercise Physiology and Omics approaches represent an important step toward synthesis and integration, the original essence of Physiology. Despite the significant progress they have introduced in Exercise Physiology (EP), some of their theoretical and methodological assumptions are still limiting the understanding of the complexity of sport-related phenomena. Based on general principles of biological evolution and supported by complex network science, this paper aims to contrast theoretical and methodological aspects of molecular and network-based approaches to EP. After explaining the main EP challenges and why sport-related phenomena cannot be understood if reduced to the molecular level, the paper proposes some methodological research advances related to the type of studied variables and measures, the data acquisition techniques, the type of data analysis and the assumed relations among physiological levels. Inspired by Network Physiology, Network Physiology of Exercise provides a new paradigm and formalism to quantify cross-communication among diverse systems across levels and time scales to improve our understanding of exercise-related phenomena and opens new horizons for exercise testing in health and disease.</p>","PeriodicalId":21788,"journal":{"name":"Sports Medicine - Open","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500136/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Medicine - Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40798-022-00512-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Molecular Exercise Physiology and Omics approaches represent an important step toward synthesis and integration, the original essence of Physiology. Despite the significant progress they have introduced in Exercise Physiology (EP), some of their theoretical and methodological assumptions are still limiting the understanding of the complexity of sport-related phenomena. Based on general principles of biological evolution and supported by complex network science, this paper aims to contrast theoretical and methodological aspects of molecular and network-based approaches to EP. After explaining the main EP challenges and why sport-related phenomena cannot be understood if reduced to the molecular level, the paper proposes some methodological research advances related to the type of studied variables and measures, the data acquisition techniques, the type of data analysis and the assumed relations among physiological levels. Inspired by Network Physiology, Network Physiology of Exercise provides a new paradigm and formalism to quantify cross-communication among diverse systems across levels and time scales to improve our understanding of exercise-related phenomena and opens new horizons for exercise testing in health and disease.
分子运动生理学和 Omics 方法是向综合与整合迈出的重要一步,是生理学的最初精髓。尽管它们在运动生理学(EP)领域取得了重大进展,但其中的一些理论和方法假设仍限制着人们对运动相关现象复杂性的理解。本文以生物进化的一般原则为基础,以复杂网络科学为支撑,旨在从理论和方法上对比分子方法和基于网络的运动生理学方法。在解释了 EP 所面临的主要挑战以及为什么将运动相关现象简化到分子水平就无法理解之后,本文提出了一些方法论研究进展,涉及所研究变量和测量方法的类型、数据采集技术、数据分析类型以及生理水平之间的假定关系。受网络生理学的启发,运动网络生理学提供了一种新的范式和形式,可以量化不同系统之间跨层次和跨时间尺度的交叉通信,从而提高我们对运动相关现象的理解,并为健康和疾病的运动测试开辟新的视野。