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Published on: March 4, 2022
Association of Urinary Complement Peptides with Kidney Function and Progression of Kidney Disease
Thi Minh Nghia Nguyen1, Margarita Kondyli1,2, Harald Mischak1
1Mosaiques Diagnostics GmbH, 30659 Hannover, Germany.
Insights
Urinary complement peptides, particularly from CFB and C3, offer new insights into kidney function and disease progression beyond albuminuria. These biomarkers can help identify high-risk patients for personalized chronic kidney disease management.
Area of Science:
- Nephrology
- Proteomics
- Immunology
Background:
- Complement activation is implicated in kidney diseases, but urinary peptide relevance is unclear.
- Existing markers like albuminuria may not fully capture kidney function or prognosis.
Purpose of the Study:
- To investigate if urinary complement-derived peptides reflect kidney function and predict progression in chronic kidney disease (CKD).
- To assess the prognostic value of these peptides beyond traditional risk markers.
Main Methods:
- Analysis of mass spectrometry-based urinary peptidomics data from 10,939 individuals (CKD patients and controls).
- Identification and quantification of complement-derived peptides, focusing on CFB and C3.
- Longitudinal analysis to assess peptide association with estimated glomerular filtration rate (eGFR) and major adverse kidney events (MAKE).
- Machine learning models were used to evaluate the predictive performance of peptides for MAKE.
Main Results:
- Fifty-eight complement peptides identified, mainly from CFB and C3.
- Fifty-two peptides correlated with eGFR independently of albuminuria.
- Eighteen peptides significantly predicted MAKE in longitudinal analysis.
- A machine learning model incorporating these peptides improved MAKE prediction accuracy.
Conclusions:
- Urinary complement-derived peptides provide independent, clinically relevant information on kidney function and CKD progression.
- These peptides show potential for identifying high-risk patients and guiding personalized therapeutic strategies.
Abstract:
Complement activation has been implicated in many kidney diseases, but it remains unclear whether urinary complement-derived peptides reflect kidney function beyond albuminuria and predict disease progression. We analyzed mass spectrometry-based urinary peptidomics data from 10,939 individuals with chronic kidney disease and healthy controls. Fifty-eight complement-derived peptides were identified, predominantly from complement factor B (CFB) and C3. Of these, fifty-two were significantly related to estimated glomerular filtration rate (eGFR) independently of albuminuria, mostly inversely. Several C3- and CFB-derived peptides were also associated with specific kidney disease etiologies. In a longitudinal analysis of 3964 individuals (median follow-up 2.91 years), 18 of these peptides were significantly related to a major adverse kidney event (MAKE, defined as ≥40% eGFR decline, end-stage kidney disease or death) after adjustment for clinical covariates, indicating prognostic information beyond traditional risk markers. In the independent test cohort, combining these peptides in a machine learning-based model and adding the resulting risk score to clinical parameters significantly improved MAKE prediction (AUC 0.801 vs. 0.778, p = 0.031). Thus, urinary complement-derived peptides provide independent and clinically relevant information on kidney function and disease progression, supporting their potential value in the identification of high-risk patients and guiding more personalized therapy.
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