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代谢组学对肾脏病病理生理机制的见解。

Metabolomics insights into pathophysiological mechanisms of nephrology.

作者信息

Zhang Aihua, Sun Hui, Qiu Shi, Wang Xijun

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Key Laboratory of Chinmedomics, Department of Pharmaceutical Analysis, and Key Metabolomics Platform of Chinese Medicines, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, 150040, China,

出版信息

Int Urol Nephrol. 2014 May;46(5):1025-30. doi: 10.1007/s11255-013-0600-2. Epub 2013 Nov 12.

Abstract

Kidney diseases (KD), a major public health problem that affects about 10 % of the general population, manifest in progressive loss of renal function, which ultimately leads to complete kidney failure. However, current approaches based on renal histopathological results and clinical parameters lack sensitivity and are not sufficient to characterize the category and progression of nephrology or to predict nephrology progression risk reliably or to guide preventive interventions. The high incidence and financial burden of KD make it imperative to diagnose KD at early stages when therapeutic interventions are far more effective. Nowadays, the appearance of metabolomics (the high-throughput measurement and analysis of metabolites) has provided the framework for a comprehensive analysis of KD and serves as a starting point for generating novel molecular diagnostic tools for use in nephrology. Changes in the concentration profiles of a number of small-molecule metabolites found in either blood or urine can be used to localize kidney damage or assess kidneys suffering from injury. The power of metabolomics allows unparalleled opportunity to query the molecular mechanisms of KD. Novel metabolomics technologies have the ability to provide a deeper understanding of the disease beyond classical histopathology, redefine the characteristics of the disease state, and identify novel approaches to reduce renal failure. This review gives an overview of its application to important areas in clinical nephrology, with a particular focus on biomarker discovery. Great strides forward are being made in breaking down important barriers to the successful prevention and treatment of this devastating disorder.

摘要

肾脏疾病(KD)是一个重大的公共卫生问题,影响着约10%的普通人群,其表现为肾功能的逐渐丧失,最终导致肾衰竭。然而,目前基于肾脏组织病理学结果和临床参数的方法缺乏敏感性,不足以对肾脏病的类别和进展进行特征描述,也无法可靠地预测肾脏病进展风险或指导预防性干预措施。KD的高发病率和经济负担使得在治疗干预更为有效的早期阶段诊断KD变得势在必行。如今,代谢组学(对代谢物进行高通量测量和分析)的出现为全面分析KD提供了框架,并成为开发用于肾脏病学的新型分子诊断工具的起点。在血液或尿液中发现的许多小分子代谢物浓度谱的变化可用于定位肾脏损伤或评估受损肾脏。代谢组学的强大功能为探究KD的分子机制提供了无与伦比的机会。新型代谢组学技术能够超越经典组织病理学,更深入地了解该疾病,重新定义疾病状态的特征,并确定减少肾衰竭的新方法。本综述概述了其在临床肾脏病学重要领域的应用,尤其侧重于生物标志物的发现。在突破成功预防和治疗这种毁灭性疾病的重要障碍方面正在取得巨大进展。

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