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Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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Using proteomics to identify preprocedural risk factors for contrast induced nephropathy.
Michael R Bennett1, Neelima Ravipati, Gary Ross
1Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Proteomics. Clinical Applications
|October 28, 2008
Summary
Contrast-induced nephropathy (CIN), a cause of acute kidney injury (AKI), may be predicted by urinary biomarkers. Pre-procedural urine analysis identified specific peptides that indicate a higher risk of developing CIN in children.
Area of Science:
- Nephrology
- Proteomics
- Biomarker Discovery
Background:
- Contrast-induced nephropathy (CIN) is a significant cause of hospital-acquired acute kidney injury (AKI).
- Early prediction of CIN is crucial for timely intervention, especially in pediatric patients undergoing cardiac catheterization.
Purpose of the Study:
- To identify distinct preprocedural urinary proteomic profiles associated with CIN development in children.
- To evaluate potential urinary biomarkers for the early prediction of CIN.
Main Methods:
- A cross-sectional study involving 90 children undergoing elective cardiac catheterization.
- Urinary samples were analyzed using SELDI-TOF-MS (Surface-Enhanced Laser Desorption/Ionization-Time of Flight Mass Spectrometry).
- Comparison of proteomic profiles between patients who developed CIN and age/gender-matched controls.
Main Results:
- A 4480 Da biomarker, identified as the 41 amino acid variant of human beta-defensin-1, showed higher intensity in control patients (p = 0.02-0.001, AUC = 0.89-0.99).
- A 4631 Da peptide exhibited significantly greater intensity in patients who developed CIN (p = 0.03, AUC = 0.84).
Conclusions:
- The absence of the 41 a.a. variant of human beta-defensin-1 and the presence of a 4631 Da peptide in pre-procedural urine may serve as predictive biomarkers for CIN.
- These findings suggest a potential for early, non-invasive prediction of CIN in pediatric patients.
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