Suppr超能文献

运动生理学家代谢组学指南

An exercise physiologist's guide to metabolomics.

机构信息

Research Institute of Sport and Exercise Science (RISES), Liverpool John Moores University, Liverpool, UK.

Center for Biological Clocks Research, Department of Biology, Texas A&M University, College Station, Texas, USA.

出版信息

Exp Physiol. 2024 Jul;109(7):1066-1079. doi: 10.1113/EP091059. Epub 2024 Feb 15.

Abstract

The field of exercise physiology has undergone significant technological advancements since the pioneering works of exercise physiologists in the early to mid-20th century. Historically, the ability to detect metabolites in biofluids from exercising participants was limited to single-metabolite analyses. However, the rise of metabolomics, a discipline focused on the comprehensive analysis of metabolites within a biological system, has facilitated a more intricate understanding of metabolic pathways and networks in exercise. This review explores some of the pivotal technological and bioinformatic advancements that have propelled metabolomics to the forefront of exercise physiology research. Metabolomics offers a unique 'fingerprint' of cellular activity, offering a broader spectrum than traditional single-metabolite assays. Techniques, including mass spectrometry and nuclear magnetic resonance spectroscopy, have significantly improved the speed and sensitivity of metabolite analysis. Nonetheless, challenges persist, including study design and data interpretation issues. This review aims to serve as a guide for exercise physiologists to facilitate better research design, data analysis and interpretation within metabolomics. The potential of metabolomics in bridging the gap between genotype and phenotype is emphasised, underscoring the critical importance of careful study design and the selection of appropriate metabolomics techniques. Furthermore, the paper highlights the need to deeply understand the broader scientific context to discern meaningful metabolic changes. The emerging field of fluxomics, which seeks to quantify metabolic reaction rates, is also introduced as a promising avenue for future research.

摘要

自 20 世纪初到中期的运动生理学家开创先河以来,运动生理学领域已经取得了重大的技术进步。从历史上看,检测运动参与者生物流体中代谢物的能力仅限于单代谢物分析。然而,代谢组学的兴起,专注于生物系统内代谢物的综合分析,促进了对运动中代谢途径和网络的更深入理解。这篇综述探讨了一些推动代谢组学成为运动生理学研究前沿的关键技术和生物信息学进展。代谢组学提供了细胞活动的独特“指纹”,提供了比传统单代谢物分析更广泛的谱。包括质谱和核磁共振波谱在内的技术显著提高了代谢物分析的速度和灵敏度。然而,挑战依然存在,包括研究设计和数据解释问题。本综述旨在为运动生理学家提供指导,以促进代谢组学领域更好的研究设计、数据分析和解释。强调了代谢组学在连接基因型和表型之间的差距方面的潜力,突出了精心设计研究和选择适当代谢组学技术的重要性。此外,本文还强调了需要深入了解更广泛的科学背景,以辨别有意义的代谢变化。通量组学作为一个有前途的研究领域,它试图量化代谢反应速率,也被引入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fdc/11215473/9a152fa2e047/EPH-109-1066-g004.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验