# Association of Urinary Complement Peptides with Kidney Function and Progression of Kidney Disease

## TL;DR

This study finds that specific peptides in urine can predict kidney function and disease progression, offering new insights for personalized treatment.

## Contribution

The study identifies urinary complement-derived peptides as novel biomarkers for kidney disease progression beyond traditional markers.

## Key findings

- Fifty-two complement-derived peptides were significantly related to estimated glomerular filtration rate (eGFR) independently of albuminuria.
- Eighteen peptides were significantly associated with major adverse kidney events after adjusting for clinical covariates.
- A machine learning model using these peptides improved prediction of adverse kidney events compared to traditional markers.

## 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.