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. Utility of one of the biomarkers (NGAL) in predicting worsening of global and renal SLE disease activity has been validated. We have identified novel urinary biomarkers that distinguish between class IV and class V lupus nephritis, including albumin fragments and -1 acid glycoprotein(AGP) by 2D gel electrophoresis, transferrin (Tf), ceruloplasmin (Cp), lipocalin-type prostaglandin-D synthetase (L-PGDS), and a1-acid glycoprotein (AGP) by SELDI-TOF-MS, citrate, taurine and hippurate by NMR spectroscopy-based metabolomic profiling, and apolipoprotein D, lipocalin-like prostaglandin D synthetase, hemopexin, ceruloplasmin, -1 acid glycoprotein and orosomucoid by LCMS/MS profiling. We have validated whether these biomarkers are differentially expressed in patients with kidney biopsy-proven lupus nephritis types IV and V. Overall, these studies have identified non-invasive biomarkers that identify lupus nephritis sub-classes, 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, 2012
Accession Number
ADA566501

Entities

People

  • Prasad Devarajan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Autoimmune Diseases
  • Biomedical Research
  • Chemical Synthesis
  • Chemistry
  • Department Of Defense
  • Health Services
  • Institutional Review Board
  • Kidney Diseases
  • Mass Spectrometry
  • Medical Personnel
  • Metabolism
  • Metabolomics
  • Proteins
  • Proteomics
  • Statistical Analysis
  • Two Dimensional

Fields of Study

  • Biology
  • Medicine

Readers

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

Technology Areas

  • Biotechnology