《我是運科竹：每週閱讀一段運動科學相關文獻，強化英文閱讀理解力以及運動科學相關知識》
https://youtu.be/emMuRy4busM
➤英文原文
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.
➤中文翻譯
運動生理學領域自20世紀初至中期運動生理學家的開創性工作以來，已經經歷了顯著的技術進步。歷史上，從參與者身上檢測生物流體中的代謝物的能力僅限於單一代謝物分析。然而，代謝體學 (Metabolomics) 的崛起，這是一門專注於對生物系統內的代謝物進行全面分析的學科，已經促進了對運動中代謝途徑和網絡的更細緻理解。本文探討了一些重要的技術和生物信息學進步，推動了代謝體學 (Metabolomics) 成為運動生理學研究的前沿。代謝體學 (Metabolomics) 提供了細胞活動的獨特『指紋』，比傳統的單一代謝物分析提供了更廣泛的光譜。質譜和核磁共振光譜等技術顯著改善了代謝物分析的速度和靈敏度。儘管如此，挑戰仍然存在，包括研究設計和數據解釋問題。本文旨在作為運動生理學家的指南，以促進更好的研究設計、數據分析和代謝組學解釋。強調了代謝體學 (Metabolomics) 在填補基因型和表型之間差距方面的潛力，強調了仔細的研究設計和適當的代謝體學 (Metabolomics) 技術的選擇的重要性。此外，本文還強調了深入理解更廣泛的科學背景以識別有意義的代謝變化的必要性。新興的代謝流體學領域，旨在量化代謝反應速率，也被介紹為未來研究的一個有前景的途徑。
➤文獻來源
Owens, D. J., & Bennett, S. (2024). An exercise physiologist's guide to metabolomics. Experimental physiology, 10.1113/EP091059. Advance online publication. https://doi.org/10.1113/EP091059
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