Serum Protein Signatures Using Aptamer-Based Proteomics for Minimal Change Disease and Membranous Nephropathy

Daniel A Muruve1, Hanna Debiec2, Simon T Dillon3

  • 1Department of Medicine, Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada.

Abstract

Insights

This study used aptamer-based proteomics to identify serum protein biomarkers for minimal change disease (MCD) and membranous nephropathy (MN). Distinct protein signatures were found, highlighting cell death, inflammation, and fatty acid metabolism pathways.

Area of Science:

  • Nephrology
  • Proteomics
  • Biomarker Discovery

Background:

  • Minimal change disease (MCD) and membranous nephropathy (MN) are glomerular diseases causing nephrotic syndrome.
  • Diagnosis often requires kidney biopsy, especially for MCD and PLA2R-negative MN.
  • There's a need for non-invasive biomarkers for these conditions.

Purpose of the Study:

  • To identify serum protein biomarker signatures for MCD and MN pathogenesis.
  • To differentiate MCD and MN using proteomic analysis.
  • To explore underlying molecular pathways in these glomerular diseases.

Main Methods:

  • Quantitative SOMAscan proteomics was performed on serum from adult patients with MCD (n=15), MN (n=37), and healthy controls (n=20).
  • Statistical tests, expression pattern analysis, and systems biology analysis were used to assess 1305 detected proteins.
  • Differential protein expression was analyzed between patient groups and controls.

Main Results:

  • 208 proteins differentiated MCD and 244 proteins differentiated MN from healthy controls (BH P < 0.0001).
  • 157 proteins distinguished MN from MCD (BH P < 0.05), with 44 specific to MN.
  • Systems biology revealed cell death and inflammation pathways differentiating MN from MCD and controls; fatty acid metabolism was dysregulated in both diseases.

Conclusions:

  • SOMAscan proteomics is a promising platform for biomarker development in glomerulonephritis (GN).
  • Distinct protein signatures and pathway dysregulations are associated with MCD and MN.
  • Further validation in larger cohorts is necessary for clinical translation.

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