Department of Physiology of Energy Metabolism, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
Oroboros Instruments, Innsbruck, Austria.
Curr Opin Clin Nutr Metab Care. 2018 Sep;21(5):336-342. doi: 10.1097/MCO.0000000000000486.
The review provides an overview on latest methodological strategies to assess mitochondrial respiratory function in tissue biopsies or blood cells. In addition, it summarizes the recent literature related to this topic.
Today, the study of mitochondrial function in key metabolic active tissues has been become more relevant, with increasing focus in clinical applications. In addition, assessment of mitochondrial function in blood cells by respirometry might be a sensitive biomarker of disease progression. High-Resolution Respirometry provides a modern tool to study mitochondrial respiratory physiology which allows direct measurement of cellular metabolic function during health and disease. Moreover, standard operating procedures are required regarding instrumental settings, sample collection and preparation, protocol design and respirometric data analysis of mitochondrial respiratory function in tissue biopsies (such as skeletal muscle, liver and adipose tissue), as well as isolated blood cells.
Mitochondrial function is a key factor in many metabolic diseases. Although various analytical approaches are available, certain well-established protocols for isolated mitochondria are limited for the analysis of mitochondrial function in tissue biopsies or blood cells. Thus, cautious considerations in selecting appropriate protocols and analytical endpoints are crucial for the interpretation of the gained data and to draw robust conclusions.
本文综述了评估组织活检或血细胞中线粒体呼吸功能的最新方法学策略，并总结了相关的最新文献。
目前，研究关键代谢活跃组织中的线粒体功能变得更加相关，并越来越关注其临床应用。此外，通过呼吸测定法评估血细胞中的线粒体功能可能是疾病进展的敏感生物标志物。高分辨率呼吸测定法为研究线粒体呼吸生理学提供了一种现代工具，可在健康和疾病期间直接测量细胞代谢功能。此外，还需要关于组织活检（如骨骼肌、肝脏和脂肪组织）以及分离的血细胞中线粒体呼吸功能的仪器设置、样本采集和准备、方案设计以及呼吸测定数据分析的标准操作程序。
线粒体功能是许多代谢疾病的关键因素。尽管有各种分析方法，但某些针对分离线粒体的既定方案对于组织活检或血细胞中线粒体功能的分析是有限的。因此，在选择适当的方案和分析终点时需要谨慎考虑，这对于解释获得的数据和得出可靠的结论至关重要。
