Diagnosis of renal allograft subclinical rejection by urine protein fingerprint analysis.
OBJECTIVE
This study aimed to find new biomarkers and establish urine protein fingerprint model for diagnosis of renal allograft subclinical rejection (SCR).


METHODS
A total of 73 urine samples were analyzed by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) combined with bioinformatics tools.


RESULTS
Firstly, 22 urine samples from recipients of stable graft function proved by protocol biopsies and 27 from subclinical rejection gruop were analyzed by SELDI-TOF-MS and Zhejiang University Cancer Institute-ProteinChip Data Analysis System (ZUCI-PDAS). The diagnostic pattern comprised of 4 biomarkers could differentiate SCR group from stable group with sensitivity of 81.5% and specificity of 81.8%. The remaining 14 samples from stable group and 10 samples from SCR were analyzed on the second day as an independent test set. The independent tests yielded a specificity of 71.4% and sensitivity of 90%.


CONCLUSIONS
Urine protein fingerprint analysis by SELDI-TOF-MS combined with bioinformatics can help to discover new biomarkers and provide a non-invasive tool to diagnosis of SCR.
The Kidney Disease Center, the First Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China.
Youying
Y
Mao
Jiekai
J
Yu
Jianghua
J
Chen
Hao
H
Yang
Qiang
Q
He
Zhangfei
Z
Shou
Jianyong
J
Wu
Shu
S
Zheng
D000328:Adult; D015415:Biomarkers / Q000652:urine*; D019295:Computational Biology; D005260:Female; D006084:Graft Rejection / Q000175:diagnosis* / Q000276:immunology; D006801:Humans; D016030:Kidney Transplantation / Q000276:immunology*; D008297:Male; D008875:Middle Aged; D010449:Peptide Mapping / Q000379:methods; D011507:Proteinuria; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D015415:Biomarkers