机构:[1]Department of Urologic Sciences, University of British Columbia, 2660 Oak Street, Vancouver V6H 3Z6, Canada[2]Department of Urology (Institute of Reconstructive Urology), West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu 610041, China四川大学华西医院[3]Department of Urology, East Hospital, Tongji University, 150 Jimo Rd, Shanghai 200000, China[4]College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, 1 Huatuo Rd, Fuzhou 350122, China[5]Imaging Unit, Integrative Oncology Department, BC Cancer Research Center, 675 W 10th Ave, Vancouver V5Z 1L3, Canada[6]Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Normal University, No. 32, Shangsan Road, Fuzhou 350007, China
Individuals who have kidney disease or kidney transplants need routine assessment of their kidney damage and function, which are largely measured based on histological examination of kidney biopsies, blood test, and urinalysis. These methods are practically difficult or inconvenient, and expensive. The objective of this study was to develop a model to estimate the kidney damage and function by surface-enhanced Raman spectroscopy (SERS).
Urine samples were collected from two previous studies: renal allograft recipient Lewis rats receiving anti-TGF-β antibody or control antibody treatment and obese diabetic ZSF1 rats with kidney disease fed with whole grape powder-containing chow or control chow. Silver nanoparticle-based SERS spectra of urine were measured. SERS spectra were analyzed using principal component analysis (PCA) combined with linear discriminant analysis (LDA) and partial least squires (PLS) analysis.
PCA/LDA separated anti-TGF-β antibody-treated group from control group with 90% sensitivity and 70% specificity in kidney transplants, and grape-fed group from controls with 72.7% sensitivity and 60% specificity in diabetic kidneys. The receiver operating characteristic curves showed that the integration area under the curve was 0.850 ± 0.095 (p = 0.008) in kidney transplant groups and 0.800 ± 0.097 (p = 0.02) in diabetic kidney groups. PLS predicted the biochemical parameters of kidney function using the SERS spectra, resulting in R2 = 0.8246 (p < 0.001,urine protein), R2 = 0.8438 (p < 0.001, urine creatinine), R2 = 0.9265 (p < 0.001, urea), R2 = 0.8719 (p < 0.001, serum creatinine), and R2 = 0.6014 (p < 0.001, urine protein to creatinine ratio).
Urine SERS spectral analysis suggesting that it may become a convenient method for rapid assessment of renal impairment.
基金:
China Scholarship Council and Michael Smith Foundation for Health Research of Canada
语种:
外文
PubmedID:
中科院(CAS)分区:
出版当年[2019]版:
大类|4 区医学
小类|4 区泌尿学与肾脏学
最新[2023]版:
大类|4 区医学
小类|4 区泌尿学与肾脏学
第一作者:
第一作者机构:[1]Department of Urologic Sciences, University of British Columbia, 2660 Oak Street, Vancouver V6H 3Z6, Canada[2]Department of Urology (Institute of Reconstructive Urology), West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu 610041, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Shijian Feng,Lan Zhou,Duo Lin,et al.Assessment of treatment efficacy using surface-enhanced Raman spectroscopy analysis of urine in rats with kidney transplantation or kidney disease.[J].Clinical and experimental nephrology.2019,23(7):880-889.doi:10.1007/s10157-019-01721-w.
APA:
Shijian Feng,Lan Zhou,Duo Lin,Jianhua Zhao,Qiunong Guan...&Caigan Du.(2019).Assessment of treatment efficacy using surface-enhanced Raman spectroscopy analysis of urine in rats with kidney transplantation or kidney disease..Clinical and experimental nephrology,23,(7)
MLA:
Shijian Feng,et al."Assessment of treatment efficacy using surface-enhanced Raman spectroscopy analysis of urine in rats with kidney transplantation or kidney disease.".Clinical and experimental nephrology 23..7(2019):880-889