Raman Spectral Characterization of Urine for Rapid Diagnosis of Acute Kidney Injury

被引:8
作者
Jeng, Ming-Jer [1 ,2 ,3 ]
Sharma, Mukta [1 ]
Lee, Cheng-Chia [2 ]
Lu, Yu-Sheng [1 ]
Tsai, Chia-Lung [1 ,2 ,3 ]
Chang, Chih-Hsiang [2 ]
Chen, Shao-Wei [4 ]
Lin, Ray-Ming [1 ]
Chang, Liann-Be [1 ,3 ]
机构
[1] Chang Gung Univ, Dept Elect Engn, Taoyuan 333, Taiwan
[2] Change Gung Mem Hosp, Kidney Res Ctr, Dept Nephrol, Linkou Branch, Taoyuan 244, Taiwan
[3] Chang Gung Univ, Green Technol Res Ctr, Taoyuan 333, Taiwan
[4] Chang Gung Mem Hosp, Dept Cardiothorac & Vasc Surg, Linkou Branch, Taoyuan 244, Taiwan
关键词
acute kidney injury; Raman spectroscopy; partial least squares; linear discriminant analysis; urine; SPECTROSCOPY;
D O I
10.3390/jcm11164829
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Acute kidney injury (AKI) is a common syndrome characterized by various etiologies and pathophysiologic processes that deteriorate kidney function. The aim of this study is to identify potential biomarkers in the urine of non-acute kidney injury (non-AKI) and AKI patients through Raman spectroscopy (RS) to predict the advancement in complications and kidney failure. Selected spectral regions containing prominent peaks of renal biomarkers were subjected to partial least squares linear discriminant analysis (PLS-LDA). This discriminant analysis classified the AKI patients from non-AKI subjects with a sensitivity and specificity of 97% and 100%, respectively. In this study, the RS measurements of urine specimens demonstrated that AKI had significantly higher nitrogenous compounds, porphyrin, tryptophan and neopterin when compared with non-AKI. This study's specific spectral information can be used to design an in vivo RS approach for the detection of AKI diseases.
引用
收藏
页数:9
相关论文
共 29 条
[1]   Urine Raman spectroscopy for rapid and inexpensive diagnosis of chronic renal failure (CRF) using multiple classification algorithms [J].
Chen, Cheng ;
Yang, Li ;
Zhao, Jianyong ;
Yuan, Yushuai ;
Chen, Chen ;
Tang, Jun ;
Yang, Hong ;
Yan, Ziwei ;
Wang, Hang ;
Lv, Xiaoyi .
OPTIK, 2020, 203
[2]   Raman spectroscopy combined with multiple algorithms for analysis and rapid screening of chronic renal failure [J].
Chen, Cheng ;
Yang, Li ;
Li, Hongyi ;
Chen, Fangfang ;
Chen, Chen ;
Gao, Rui ;
Lv, X. Y. ;
Tang, Jun .
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2020, 30
[3]   In-vivo Raman spectroscopy: from basics to applications [J].
Cordero, Eliana ;
Latka, Ines ;
Matthaus, Christian ;
Schie, Iwan W. ;
Popp, Juergen .
JOURNAL OF BIOMEDICAL OPTICS, 2018, 23 (07)
[4]  
Crews Deidra C., 2019, Braz. J. Nephrol., V41, P1, DOI 10.1590/2175-8239-JBN-2018-0224
[5]   Raman spectroscopic characterization of urine of normal and oral cancer subjects [J].
Elumalai, Brindha ;
Prakasarao, Aruna ;
Ganesan, Bharanidharan ;
Dornadula, Koteeswaran ;
Ganesan, Singaravelu .
JOURNAL OF RAMAN SPECTROSCOPY, 2015, 46 (01) :84-93
[6]   Diagnosing breast cancer by using Raman spectroscopy [J].
Haka, AS ;
Shafer-Peltier, KE ;
Fitzmaurice, M ;
Crowe, J ;
Dasari, RR ;
Feld, MS .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (35) :12371-12376
[7]   Global epidemiology and outcomes of acute kidney injury [J].
Hoste, Eric A. J. ;
Kellum, John A. ;
Selby, Nicholas M. ;
Zarbock, Alexander ;
Palevsky, Paul M. ;
Bagshaw, Sean M. ;
Goldstein, Stuart L. ;
Cerda, Jorge ;
Chawla, Lakhmir S. .
NATURE REVIEWS NEPHROLOGY, 2018, 14 (10) :607-625
[8]   Near-infrared Raman spectroscopy for optical diagnosis of lung cancer [J].
Huang, ZW ;
McWilliams, A ;
Lui, H ;
McLean, DI ;
Lam, S ;
Zeng, HS .
INTERNATIONAL JOURNAL OF CANCER, 2003, 107 (06) :1047-1052
[9]   Raman chemometric urinalysis (Rametrix) as a screen for bladder cancer [J].
Huttanus, Herbert M. ;
Vu, Tommy ;
Guruli, Georgi ;
Tracey, Andrew ;
Carswell, William ;
Said, Neveen ;
Du, Pang ;
Parkinson, Bing G. ;
Orlando, Giuseppe ;
Robertson, John L. ;
Senger, Ryan S. .
PLOS ONE, 2020, 15 (08)
[10]   Novel Quantitative Analysis Using Optical Imaging (VELscope) and Spectroscopy (Raman) Techniques for Oral Cancer Detection [J].
Jeng, Ming-Jer ;
Sharma, Mukta ;
Sharma, Lokesh ;
Huang, Shiang-Fu ;
Chang, Liann-Be ;
Wu, Shih-Lin ;
Chow, Lee .
CANCERS, 2020, 12 (11) :1-14