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 90â % 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.
Surface-enhanced Raman scattering analysis of urine from deceased donors as a prognostic tool for kidney transplant outcome.
利用表面增强拉曼散射分析已故捐献者尿液作为肾移植预后的预测工具
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作者:Chi Jingmao, Ma Yiwei, Weng Francis L, Thiessen-Philbrook Heather, Parikh Chirag R, Du Henry
| 期刊: | Journal of Biophotonics | 影响因子: | 2.300 |
| 时间: | 2017 | 起止号: | 2017 Dec;10(12):1743-1755 |
| doi: | 10.1002/jbio.201700019 | ||
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