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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Correlating the amount of urea, creatinine, and glucose in urine from patients with diabetes mellitus and hypertension with the risk of developing renal lesions by means of Raman spectroscopy and principal component analysis

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Author(s):
Martins Bispo, Jeyse Aliana [1, 2] ; de Sousa Vieira, Elzo Everton [1, 2] ; Silveira, Jr., Landulfo [1] ; Fernandes, Adriana Barrinha [1]
Total Authors: 4
Affiliation:
[1] Univ Camilo Castelo Branco UNICASTELO, Inst Biomed Engn, BR-12247015 Sao Paulo - Brazil
[2] FIT, BR-68010200 Santarem, Para - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Journal of Biomedical Optics; v. 18, n. 8 AUG 2013.
Web of Science Citations: 45
Abstract

Patients with diabetes mellitus and hypertension (HT) diseases are predisposed to kidney diseases. The objective of this study was to identify potential biomarkers in the urine of diabetic and hypertensive patients through Raman spectroscopy in order to predict the evolution to complications and kidney failure. Urine samples were collected from control subjects (CTR) and patients with diabetes and HT with no complications (lower risk, LR), high degree of complications (higher risk, HR), and doing blood dialysis (DI). Urine samples were stored frozen (-20 degrees C) before spectral analysis. Raman spectra were obtained using a dispersive spectrometer (830-nm, 300-mW power, and 20-s accumulation). Spectra were then submitted to principal component analysis (PCA) followed by discriminant analysis. The first PCA loading vectors revealed spectral features of urea, creatinine, and glucose. It has been found that the amounts of urea and creatinine decreased as disease evoluted from CTR to LR/HR and DI (PC1, p < 0.05), and the amount of glucose increased in the urine of LR/HR compared to CTR (PC3, p < 0.05). The discriminating model showed better overall classification rate of 70%. These results could lead to diagnostic information of possible complications and a better disease prognosis. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. (AU)

FAPESP's process: 12/20666-0 - Photonics West 2013
Grantee:Landulfo Silveira Junior
Support Opportunities: Research Grants - Meeting - Abroad