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慢性肾脏病尿液代谢组学:现代概念与方法

CKD Urine Metabolomics: Modern Concepts and Approaches.

作者信息

Danilova Elena Y, Maslova Anna O, Stavrianidi Andrey N, Nosyrev Alexander E, Maltseva Larisa D, Morozova Olga L

机构信息

Molecular Theranostics Institute, Biomedical Science and Technology Park, I.M. Sechenov First Moscow State Medical University (Sechenov University), 8 Trubetskaya ul, 119991 Moscow, Russia.

Department of Chemistry, M.V. Lomonosov Moscow State University, 1 Leninskiye Gory Str., 119991 Moscow, Russia.

出版信息

Pathophysiology. 2023 Sep 29;30(4):443-466. doi: 10.3390/pathophysiology30040033.

DOI:10.3390/pathophysiology30040033
PMID:37873853
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10594523/
Abstract

One of the primary challenges regarding chronic kidney disease (CKD) diagnosis is the absence of reliable methods to detect early-stage kidney damage. A metabolomic approach is expected to broaden the current diagnostic modalities by enabling timely detection and making the prognosis more accurate. Analysis performed on urine has several advantages, such as the ease of collection using noninvasive methods and its lower protein and lipid content compared with other bodily fluids. This review highlights current trends in applied analytical methods, major discoveries concerning pathways, and investigated populations in the context of urine metabolomic research for CKD over the past five years. Also, we are presenting approaches, instrument upgrades, and sample preparation modifications that have improved the analytical parameters of methods. The onset of CKD leads to alterations in metabolism that are apparent in the molecular composition of urine. Recent works highlight the prevalence of alterations in the metabolic pathways related to the tricarboxylic acid cycle and amino acids. Including diverse patient cohorts, using numerous analytical techniques with modifications and the appropriate annotation and explanation of the discovered biomarkers will help develop effective diagnostic models for different subtypes of renal injury with clinical applications.

摘要

慢性肾脏病(CKD)诊断面临的主要挑战之一是缺乏检测早期肾脏损伤的可靠方法。代谢组学方法有望通过实现早期检测并提高预后准确性来拓宽当前的诊断方式。对尿液进行分析具有多个优点,例如使用非侵入性方法易于收集,并且与其他体液相比其蛋白质和脂质含量较低。本综述重点介绍了过去五年中CKD尿液代谢组学研究中应用分析方法的当前趋势、有关代谢途径的主要发现以及所研究的人群。此外,我们还介绍了改进方法分析参数的方法、仪器升级和样品制备改进。CKD的发病会导致代谢改变,这在尿液的分子组成中很明显。最近的研究突出了与三羧酸循环和氨基酸相关的代谢途径改变的普遍性。纳入不同的患者队列,使用多种经过改进的分析技术以及对发现的生物标志物进行适当的注释和解释,将有助于开发针对不同亚型肾损伤的有效诊断模型并应用于临床。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bd/10594523/337a6ebd6414/pathophysiology-30-00033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bd/10594523/337a6ebd6414/pathophysiology-30-00033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bd/10594523/337a6ebd6414/pathophysiology-30-00033-g001.jpg

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Kidney Res Clin Pract. 2023 Jul;42(4):445-459. doi: 10.23876/j.krcp.22.152. Epub 2023 Jul 25.
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Serum and urine metabolomic biomarkers for predicting prognosis in patients with immunoglobulin A nephropathy.用于预测免疫球蛋白A肾病患者预后的血清和尿液代谢组学生物标志物。
Kidney Res Clin Pract. 2023 Sep;42(5):591-605. doi: 10.23876/j.krcp.22.146. Epub 2023 May 18.
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Metabolomic Investigation of Blood and Urinary Amino Acids and Derivatives in Patients with Type 2 Diabetes Mellitus and Early Diabetic Kidney Disease.
探讨年轻人肾功能与尿代谢物之间的相互作用:非洲 PREDICT 研究。
Amino Acids. 2024 Aug 29;56(1):53. doi: 10.1007/s00726-024-03412-7.
2型糖尿病合并早期糖尿病肾病患者血液和尿液中氨基酸及其衍生物的代谢组学研究
Biomedicines. 2023 May 25;11(6):1527. doi: 10.3390/biomedicines11061527.
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