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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.
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.
Abstract:
Chronic kidney disease (CKD) affects 30 million adults, costs ~$79 billion dollars (2016) in Medicare expenditures, and is the ninth leading cause of death in the United States. The disease is silent or undiagnosed in almost half of people with severely reduced kidney function. Urine provides an ideal biofluid that is accessible to high-sensitivity mass spectrometry-based proteomic interrogation and is an indicator of renal homeostasis. While the accurate and precise diagnosis and better disease management of CKD can be aided using urine biomarkers, their discovery in excessive protein or nephrotic urine samples can present challenges. In this work we present a mass spectrometry-based method utilizing multiplex tandem mass tag (TMT) quantification and improved protein quantification using reporter ion normalization to urinary creatinine to analyze urinary proteins from patients with a form of nephrotic syndrome (FSGS). A comparative analysis was performed for urine from patients in remission versus active disease flare. Two-dimensional LC-MS/MS TMT quantitative analysis identified over 1058 urine proteins, 580 proteins with 2 peptides or greater and quantifiable. Normalization of TMT abundance values to creatinine per ml of urine concentrated reduced variability in 2D-TMT-LC-MS/MS experiments. Univariate and multivariate analyses showed that 27 proteins were significantly increased in proteinuric disease flare. Hierarchical heatmap clustering showed that SERPINA1 and ORM1 were >1.5 fold increased in active disease versus remission urine samples. ELISA validation of SERPINA1 and ORM1 abundance agreed with our quantitative TMT proteomics analysis. These findings provide support for the utility of this method for identification of novel diagnostic markers of CKD and identify SERPINA1 and ORM1 as promising candidate diagnostic markers for FSGS.
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