Early Prediction of Lupus Nephritis Using Advanced Proteomics

Abstract

The survival with Systemic Lupus Erythematosus (SLE) is closely linked to the early detection of kidney disease, making the discovery of currently elusive renal biomarkers crucial for the prognosis of SLE. A well-defined cohort of patients with SLE (n=150), disease and healthy controls were assembled and followed-for up to 1.5 years. By surface-enhanced laser desorption time to flight mass spectrometry (SELDI-TOF-MS) and matrix enhanced various TOFMS, we discovered a set urinary lupus nephritis candidate biomarkers; namely transferring, ceruloplasmin, alpha1-acid glycoprotein, and lipocalin-like prostaglandin-D synthetase. Urinary concentrations of these lupus nephritis candidate biomarkers differed significantly with the presence of lupus nephritis. The accuracy of these lupus nephritis biomarkers to detect a flare of disease as measured by the area under the receiver operating characteristic curve was at 0.85 excellent. Thus we characterized a novel panel of urinary markers whose preliminary study supports them being excellent biomarkers of the course of lupus nephritis.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA500881

Entities

People

  • Prasad Devarajan

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Autoimmune Diseases
  • Biochemistry
  • Biological Markers
  • Biomedical Research
  • Chemical Analysis
  • Chemical Synthesis
  • Chemistry
  • Health Services
  • Information Science
  • Kidney Diseases
  • Liquid Chromatography
  • Lupus
  • Mass Spectrometry
  • Medical Personnel
  • Proteomics

Fields of Study

  • Medicine

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Molecular Photonics/Laser Physics
  • Neurological Diseases/Conditions/Disorders

Technology Areas

  • Biotechnology
  • Directed Energy