Early Prediction of Lupus Nephritis Using Advanced Proteomics

Abstract

The purpose of this project is to identify initial biomarker patterns in SLE nephritis using screening proteomic profiling, and advanced proteomic profiling. Subject recruitment has been completed (150 children with SLE, out of which 75 have lupus nephritis). Utility of one of the biomarkers (NGAL) in predicting worsening of global and renal SLE disease activity has been validated. We found 2 proteins significantly over-expressed in Class IV vs Class V lupus nephritis by 2D gel electrophoresis: albumin fragments (25kDa) and alpha-1-B glycoprotein (60kDa). We found over 30 proteins differentially expressed in Class IV vs Class V lupus nephritis by SELDI-TOF-MS. Additional proteomic profiling studies using NMR- and MS-based metabonomics as well as LC/MS based protein profiling using Thermo LTQ FT-ICR have been initiated. Overall, these studies will identify a subset of non-invasive biomarkers that identify lupus nephritis subclasses, and predict the clinical course of the disease. The significance of such biomarkers is that they will provide novel non-invasive tools to identify patients with lupus nephritis, to risk-stratify the subjects for therapies, and to follow the efficacy of therapies.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA541314

Entities

People

  • Prasad Devarajan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Albumins
  • Biomedical Research
  • Chemistry
  • Diseases And Disorders
  • Electrophoresis
  • Gel Electrophoresis
  • Health Services
  • Kidney Diseases
  • Lupus
  • Mass Spectrometry
  • Medical Personnel
  • Metabolomics
  • Military Research
  • Proteins
  • Proteomics
  • Two Dimensional
  • United States

Fields of Study

  • Biology
  • Medicine

Readers

  • Neurological Diseases/Conditions/Disorders
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology