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Urinary proteomics for the prediction of nephritis in patients with Henoch-Sch(o)nlein purpura / 中华皮肤科杂志
Chinese Journal of Dermatology ; (12): 52-53, 2013.
Article in Chinese | WPRIM | ID: wpr-432299
ABSTRACT
Objective To identify novel biomarkers from urinary protein profiles for the early diagnosis of nephritis in patients with Henoch-Sch(o)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-Schonlein 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-Schonlein purpura.Results Totally,154mass 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-Schonlein purpura.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Screening study Language: Chinese Journal: Chinese Journal of Dermatology Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study / Screening study Language: Chinese Journal: Chinese Journal of Dermatology Year: 2013 Type: Article