Quantitative Mass Spectrometry Normalization in Urine Biomarker Analysis in Nephrotic Syndrome

Timothy D Cummins1,2, David W Powell1,2, Daniel W Wilkey1

  • 1Kidney Disease Program and Clinical Proteomics Center.

Glomerular Diseases
|October 6, 2022
PubMed

Insights

Researchers developed a new mass spectrometry method to identify urinary biomarkers for chronic kidney disease (CKD). This approach identified SERPINA1 and ORM1 as promising diagnostic markers for focal segmental glomerulosclerosis (FSGS).

Area of Science:

  • Biochemistry
  • Proteomics
  • Nephrology

Background:

  • Chronic kidney disease (CKD) is a major health issue, often diagnosed late due to asymptomatic progression.
  • Urine analysis offers a non-invasive approach for diagnosing renal conditions, but biomarker discovery in nephrotic urine is challenging.
  • Accurate diagnosis and management of CKD can be improved with reliable urine biomarkers.

Purpose of the Study:

  • To present an improved mass spectrometry-based method for urinary proteomic analysis.
  • To identify novel diagnostic protein biomarkers for focal segmental glomerulosclerosis (FSGS), a form of nephrotic syndrome.
  • To compare urinary proteomes between active FSGS and remission states.

Main Methods:

  • Utilized multiplex tandem mass tag (TMT) quantification with reporter ion normalization to urinary creatinine.
  • Performed two-dimensional liquid chromatography coupled with tandem mass spectrometry (2D-LC-MS/MS) on urine samples.
  • Analyzed urine from patients with FSGS in remission versus active disease flare.

Main Results:

  • Identified over 1058 urinary proteins, with 580 quantifiable using the TMT method.
  • Normalization to urinary creatinine reduced experimental variability.
  • Discovered 27 proteins significantly elevated during active FSGS, including SERPINA1 and ORM1, which were validated by ELISA.

Conclusions:

  • The developed TMT-based mass spectrometry method is effective for identifying urinary biomarkers in CKD.
  • SERPINA1 and ORM1 are promising candidate biomarkers for diagnosing active FSGS.
  • This approach supports the development of improved diagnostic tools for kidney diseases.

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