Comparative differential proteomic analysis of minimal change disease and focal segmental glomerulosclerosis

Vanessa Pérez1,2, Dolores López3, Ester Boixadera4

  • 1Laboratory of Experimental Nephrology, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain. vperez.igtp@gmail.es.

BMC Nephrology
|February 5, 2017
PubMed
Abstract

Insights

Researchers identified novel urinary biomarkers to differentiate Minimal Change Disease (MCD) and primary Focal Segmental Glomerulosclerosis (FSGS). This discovery could lead to non-invasive diagnosis, improving patient treatment by distinguishing steroid-responsive MCD from resistant FSGS.

Area of Science:

  • Nephrology
  • Proteomics
  • Biomarker Discovery

Background:

  • Minimal Change Disease (MCD) and primary Focal Segmental Glomerulosclerosis (FSGS) are glomerular diseases causing nephrotic syndrome.
  • Renal biopsy is invasive and may not differentiate MCD from FSGS if glomeruli appear normal.
  • Accurate diagnosis is vital as MCD responds to steroids, while FSGS is typically resistant.

Purpose of the Study:

  • To discover and validate novel early urinary biomarkers.
  • To differentiate between MCD and FSGS non-invasively.

Main Methods:

  • Analyzed urinary proteome of 49 patients (MCD and FSGS) using 2D differential gel electrophoresis and mass spectrometry.
  • Quantified identified proteins via ELISA in a validation set.
  • Developed a decision tree model for pathology prediction.

Main Results:

  • Decreased urinary concentrations of alpha-1 antitrypsin, transferrin, histatin-3, and 39S ribosomal protein L17 in FSGS compared to MCD.
  • Increased urinary concentration of calretinin in FSGS compared to MCD.
  • These proteins formed a predictive decision tree.

Conclusions:

  • Suggests a panel of urinary proteins as potential non-invasive biomarkers for differentiating MCD and FSGS.
  • Potential to reduce misdiagnoses and guide appropriate treatment strategies.
  • Highlights the value of urinary proteomic analysis in kidney disease diagnostics.