Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Clin J Am Soc Nephrol. 2020 May 7;15(5):695-703. doi: 10.2215/CJN.09990819. Epub 2020 Jan 28.
The kidney is a complex organ responsible for maintaining multiple aspects of homeostasis in the human body. The combination of distinct, yet interrelated, molecular functions across different cell types make the delineation of factors associated with loss or decline in kidney function challenging. Consequently, there has been a paucity of new diagnostic markers and treatment options becoming available to clinicians and patients in managing kidney diseases. A systems biology approach to understanding the kidney leverages recent advances in computational technology and methods to integrate diverse sets of data. It has the potential to unravel the interplay of multiple genes, proteins, and molecular mechanisms that drive key functions in kidney health and disease. The emergence of large, detailed, multilevel biologic and clinical data from national databases, cohort studies, and trials now provide the critical pieces needed for meaningful application of systems biology approaches in nephrology. The purpose of this review is to provide an overview of the current state in the evolution of the field. Recent successes of systems biology to identify targeted therapies linked to mechanistic biomarkers in the kidney are described to emphasize the relevance to clinical care and the outlook for improving outcomes for patients with kidney diseases.
肾脏是一个复杂的器官，负责维持人体的多种内环境稳定。不同细胞类型之间独特而又相互关联的分子功能的结合，使得与肾脏功能丧失或下降相关的因素的划定具有挑战性。因此，在管理肾脏疾病方面，临床医生和患者可获得的新诊断标志物和治疗选择非常有限。系统生物学方法可以理解肾脏，它利用计算技术和方法的最新进展来整合不同的数据组。它有潜力揭示多个基因、蛋白质和分子机制之间的相互作用，这些基因、蛋白质和分子机制推动着肾脏健康和疾病的关键功能。来自国家数据库、队列研究和试验的大型、详细、多层次的生物和临床数据的出现，为系统生物学方法在肾脏病学中的有意义应用提供了必要的关键部分。本文的目的是提供该领域发展现状的概述。描述了系统生物学在识别与肾脏机制生物标志物相关的靶向治疗方面的最新成功案例，以强调其与临床护理的相关性以及改善肾脏疾病患者预后的前景。
