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对已故供体尿液进行表面增强拉曼散射分析,作为肾移植结果的预后工具。

Surface-enhanced Raman scattering analysis of urine from deceased donors as a prognostic tool for kidney transplant outcome.

作者信息

Chi Jingmao, Ma Yiwei, Weng Francis L, Thiessen-Philbrook Heather, Parikh Chirag R, Du Henry

机构信息

Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, NJ 07030, USA.

Renal and Pancreas Transplant Division, Saint Barnabas Medical Center, Livingston, NJ 07039, USA.

出版信息

J Biophotonics. 2017 Dec;10(12):1743-1755. doi: 10.1002/jbio.201700019. Epub 2017 May 9.

Abstract

We report the utility of surface-enhanced Raman scattering (SERS) analysis of urine from deceased donors for prognosis of kidney transplant outcomes. Iodide-modified silver nanoparticles were used as the enabler for sensitive measurements of urine proteins. Principal component analysis (PCA) and linear discriminant analysis (LDA) were employed for the statistical analysis of the SERS data. Thirty urine samples in three classes were analysed. The ATN class consists of donors whose kidneys had acute tubular necrosis (ATN), the most common type of acute kidney injury (AKI) with high risk of poor graft performance in recipients, yet yielded acceptable transplant outcome. The DGF class is comprised of donors whose kidney had delayed graft function (DGF) in recipients. The control class includes donors whose kidneys did not have donor ATN or recipient DGF. We show a sensitivity of more than 90 % in differentiating the ATN class from the DGF and control classes. Our methodology can thus help clinicians choose kidneys in the high-risk ATN category for transplant which would otherwise be discarded. Our research is impactful in that it could serve as a valuable guidance to expand the deceased donor pool to include those perceived as high-risk AKI type based on common urinary biomarkers. Picutre: Scheme of SERS analysis of urine samples from deceased donors for kidney transplant outcome indication.

摘要

我们报告了对已故供体尿液进行表面增强拉曼散射(SERS)分析在预测肾移植结果方面的效用。碘化修饰的银纳米颗粒被用作灵敏检测尿液蛋白质的促进剂。主成分分析(PCA)和线性判别分析(LDA)用于对SERS数据进行统计分析。对三类共30份尿液样本进行了分析。急性肾小管坏死(ATN)类包括其肾脏发生急性肾小管坏死的供体,急性肾小管坏死是急性肾损伤(AKI)最常见的类型,受者移植肾功能不佳的风险很高,但移植结果尚可接受。移植肾功能延迟(DGF)类由其肾脏在受者中出现移植肾功能延迟的供体组成。对照类包括其肾脏未发生供体ATN或受者DGF的供体。我们显示在区分ATN类与DGF类和对照类时灵敏度超过90%。因此,我们的方法可以帮助临床医生选择高危ATN类别的肾脏进行移植,否则这些肾脏将被丢弃。我们的研究具有重要意义,因为它可以作为一个有价值的指导,扩大已故供体库,将那些基于常见尿液生物标志物被视为高危AKI类型的供体纳入其中。图:用于肾移植结果指示的已故供体尿液样本的SERS分析示意图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a6/5680137/3cc39149993f/nihms889394f1.jpg

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本文引用的文献

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Am J Transplant. 2016 Jan;16 Suppl 2(Suppl 2):11-46. doi: 10.1111/ajt.13666.
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