Urinary peptidome analysis in CKD and IgA nephropathy

Area of Science:

• Nephrology
• Biochemistry
• Analytical Chemistry

Background:

• Chronic kidney disease (CKD) poses a global health challenge, particularly in aging populations.
• Current methods for early CKD detection and differentiating immunoglobulin A nephropathy (IgAN) often rely on invasive kidney biopsies.
• There is a critical need for non-invasive diagnostic tools for early kidney dysfunction identification.

Purpose of the Study:

• To develop and validate a non-invasive diagnostic platform for detecting CKD and its IgAN subtype.
• To utilize urinary peptide profiles for distinguishing CKD patients from healthy controls.
• To identify IgAN patients from other nephropathy subtypes using proteomic patterns.

Main Methods:

• A case-control study involving healthy controls and biopsy-confirmed CKD patients.
• Analysis of urinary peptide profiles using Matrix-Assisted Laser Desorption Ionization-Time-Of-Flight (MALDI-TOF) mass spectrometry (MS).
• Development and assessment of diagnostic models based on urinary peptide patterns and various algorithms to ensure robustness and reproducibility.

Main Results:

• A rapid and accurate platform for CKD and IgAN detection based on MALDI-TOF MS urinary peptide patterns was established.
• Diagnostic models successfully distinguished CKD patients from controls and identified IgAN patients from other nephropathies.
• The diagnostic models demonstrated satisfactory robustness and reproducibility across different algorithms.

Conclusions:

• Discovered CKD-related and IgAN-specific urinary peptides enable precise identification of kidney dysfunction and its subtypes.
• The findings provide a reliable framework for screening renal dysfunction and aid in understanding nephropathy pathogenesis.
• This approach may identify potential protein targets for the clinical management of kidney diseases.