Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters

Abstract Routine monitoring of kidney transplant function is required for the standard care in post-transplantation management, including frequent measurements of serum creatinine with or without kidney biopsy. However, the invasiveness of these methods with potential for clinically significant comp...

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Autores principales:	Zhongli Huang, Shijian Feng, Qiunong Guan, Tao Lin, Jianhua Zhao, Christopher Y. C. Nguan, Haishan Zeng, David Harriman, Hong Li, Caigan Du
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/63a63548fa2b44d1badfac02f870eb37
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spelling	oai:doaj.org-article:63a63548fa2b44d1badfac02f870eb372021-12-02T10:48:21ZCorrelation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters10.1038/s41598-021-82113-72045-2322https://doaj.org/article/63a63548fa2b44d1badfac02f870eb372021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82113-7https://doaj.org/toc/2045-2322Abstract Routine monitoring of kidney transplant function is required for the standard care in post-transplantation management, including frequent measurements of serum creatinine with or without kidney biopsy. However, the invasiveness of these methods with potential for clinically significant complications makes them less than ideal. The objective of this study was to develop a non-invasive tool to monitor the kidney transplant function by using Surface-Enhanced Raman Spectroscopy (SERS). Urine and blood samples were collected from kidney transplant recipients after surgery. Silver nanoparticle-based SERS spectra of the urine were measured and evaluated using partial least squires (PLS) analysis. The SERS spectra were compared with conventional chemical markers of kidney transplant function to assess its predictive ability. A total of 110 kidney transplant recipients were included in this study. PLS results showed significant correlation with urine protein (R 2 = 0.4660, p < 0.01), creatinine (R 2 = 0.8106, p < 0.01), and urea (R 2 = 0.7808, p < 0.01). Furthermore, the prediction of the blood markers of kidney transplant function using the urine SERS spectra was indicated by R 2 = 0.7628 (p < 0.01) for serum creatinine and R 2 = 0.6539 (p < 0.01) for blood urea nitrogen. This preliminary study suggested that the urine SERS spectral analysis could be used as a convenient method for rapid assessment of kidney transplant function.Zhongli HuangShijian FengQiunong GuanTao LinJianhua ZhaoChristopher Y. C. NguanHaishan ZengDavid HarrimanHong LiCaigan DuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhongli Huang Shijian Feng Qiunong Guan Tao Lin Jianhua Zhao Christopher Y. C. Nguan Haishan Zeng David Harriman Hong Li Caigan Du Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
description	Abstract Routine monitoring of kidney transplant function is required for the standard care in post-transplantation management, including frequent measurements of serum creatinine with or without kidney biopsy. However, the invasiveness of these methods with potential for clinically significant complications makes them less than ideal. The objective of this study was to develop a non-invasive tool to monitor the kidney transplant function by using Surface-Enhanced Raman Spectroscopy (SERS). Urine and blood samples were collected from kidney transplant recipients after surgery. Silver nanoparticle-based SERS spectra of the urine were measured and evaluated using partial least squires (PLS) analysis. The SERS spectra were compared with conventional chemical markers of kidney transplant function to assess its predictive ability. A total of 110 kidney transplant recipients were included in this study. PLS results showed significant correlation with urine protein (R 2 = 0.4660, p < 0.01), creatinine (R 2 = 0.8106, p < 0.01), and urea (R 2 = 0.7808, p < 0.01). Furthermore, the prediction of the blood markers of kidney transplant function using the urine SERS spectra was indicated by R 2 = 0.7628 (p < 0.01) for serum creatinine and R 2 = 0.6539 (p < 0.01) for blood urea nitrogen. This preliminary study suggested that the urine SERS spectral analysis could be used as a convenient method for rapid assessment of kidney transplant function.
format	article
author	Zhongli Huang Shijian Feng Qiunong Guan Tao Lin Jianhua Zhao Christopher Y. C. Nguan Haishan Zeng David Harriman Hong Li Caigan Du
author_facet	Zhongli Huang Shijian Feng Qiunong Guan Tao Lin Jianhua Zhao Christopher Y. C. Nguan Haishan Zeng David Harriman Hong Li Caigan Du
author_sort	Zhongli Huang
title	Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
title_short	Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
title_full	Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
title_fullStr	Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
title_full_unstemmed	Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
title_sort	correlation of surface-enhanced raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/63a63548fa2b44d1badfac02f870eb37
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Correlation of surface-enhanced Raman spectroscopic fingerprints of kidney transplant recipient urine with kidney function parameters

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