Chinese Journal of Dermatology ›› 2013, Vol. 46 ›› Issue (1): 52-53.

• Research reports • Previous Articles     Next Articles

Urinary proteomics for the prediction of nephritis in patients with Henoch-Sch-nlein purpura

  

  • Received:2012-04-05 Revised:2012-05-18 Online:2013-01-15 Published:2013-01-01

Abstract: SUN Xiu-kun*, TANG Xu, SHEN Hong, YU Jie-kai. *Department of Dermatology, Third People′s Hospital of Hangzhou, Hangzhou 310009, China Corresponding author: SHEN Hong, Email: shenhangzhou@sina.com 【Abstract】 Objective To identify novel biomarkers from urinary protein profiles for the early diagnosis of nephritis in patients with Henoch-Sch?觟nlein purpura by surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS) technique. Methods Urine samples were collected from 60 untreated patients with Henoch-Sch?觟nlein purpura, including 30 patients with nephritis and 30 without. SELDI-TOF-MS technique was used to characterize the protein profile in these urine samples, and the Zhejiang University Cancer Institute - Protein Chip Data Analysis System (ZUCI-PDAS) to identify urine protein markers and construct diagnostic model for nephritis in patients with Henoch-Sch?觟nlein purpura. Results Totally, 154 mass peaks were identified with high quality, and two proteins at a mass-to-charge ratio (m/z) of 2454.971 and 2439.686 showed significantly differential expression between the two groups of patients (P < 0.05). Seven biomarkers were used to establish a diagnostic model. As estimated by the leave-one-out cross-validation, the diagnostic model distinguished patients with nephritis from those without with a specificity of 71% and sensitivity of 84%. Conclusions The developed diagnostic model based on SELDI-TOF-MS technique and bioinformatics is somewhat specific and sensitive for the prediction of nephritis in patients with Henoch-Sch?觟nlein purpura.