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Multiplex Optical Urinalysis for Early Detection of Drug-Induced Kidney Injury

机译:多重光学尿液分析,用于早期检测药物诱发的肾损伤

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摘要

Drug-induced kidney injury (DIKI) is a significant contributor of both acute and chronic kidney injury and remains a major concern in drug development and clinical care. However, current clinical diagnostic methods often fail to accurately and timely detect nephrotoxicity. This study reports the development of activatable molecular urinary reporters (MURs) that are able to specifically detect urinary biomarkers including gamma-glutamyl transferase (GGT), alanine aminopeptidase (AAP), and N-acetyl-beta-D-glucosaminidase (NAG). By virtue of their discrete absorption and emission properties, the mixture of MURs can serve as a cocktail sensor for multiplex optical urinalysis in the mouse models of drug-induced acute kidney injury (AKI) and chronic kidney disease (CKD). The MURs cocktail not only detects nephrotoxicity earlier than the tested clinical diagnostic methods in drug-induced AKI and CKD mice models, but also possesses a higher diagnostic accuracy. Therefore, MURs hold great promise for detection of kidney function in both preclinical drug screening and clinical settings.
机译:药物诱发的肾脏损伤(Diki)是急性和慢性肾损伤的重要因素,仍然是药物开发和临床护理的主要关注点。然而,目前的临床诊断方法通常无法准确且及时检测肾毒性。本研究报告了能够特异性地检测包括γ-谷氨酸转移酶(GGT),丙氨酸氨基肽酶(AAP)和N-乙酰基β-D-葡糖胺酶(NAG)的尿生物标志物的发育的发育。由于其离散的吸收和排放性能,Murs的混合物可以作为用于药物诱导的急性肾损伤(AKI)和慢性肾病(CKD)的小鼠模型中的多重光学尿液分析的鸡尾酒传感器。 Murs Cocktail不仅检测到药物诱导的AKI和CKD小鼠模型中测试的临床诊断方法早些时候的肾毒性,而且还具有更高的诊断精度。因此,Murs在临床前药物筛查和临床环境中检测肾功能的许多希望。

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  • 来源
    《Analytical chemistry》 |2020年第8期|共7页
  • 作者单位

    Nanyang Technol Univ Sch Chem &

    Biomed Engn Singapore 637457 Singapore;

    Nanyang Technol Univ Sch Chem &

    Biomed Engn Singapore 637457 Singapore;

    Nanyang Technol Univ Sch Chem &

    Biomed Engn Singapore 637457 Singapore;

    Nanyang Technol Univ Sch Chem &

    Biomed Engn Singapore 637457 Singapore;

    Nanyang Technol Univ Sch Chem &

    Biomed Engn Singapore 637457 Singapore;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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