Dynamic changes of urinary proteins in focal segmental glomerulosclerosis model

Area of Science:

• Nephrology
• Proteomics
• Biomarker Discovery

Background:

• Urine reflects physiological changes, unlike blood, making it valuable for disease monitoring.
• Identifying specific causes of urine proteome alterations is key for biomarker discovery.
• Animal models help minimize confounding factors in studying human diseases.

Purpose of the Study:

• To investigate the dynamic changes in the urine proteome during adriamycin-induced nephropathy in an animal model.
• To identify stable urinary proteins that serve as reliable indicators of kidney disease progression.
• To support the utility of urine as a primary source for kidney disease biomarker discovery.

Main Methods:

• Adriamycin-induced nephropathy model in animals.
• Urine sample collection at multiple time points before and after adriamycin administration (days 0, 3, 7, 11, 15, 23).
• Urinary protein profiling using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).

Main Results:

• Twenty-three proteins exhibited changes in abundance correlating with disease development.
• Thirteen of these proteins remained stable in normal human urine, suggesting disease-specific alterations.
• Stage-dependent dynamic changes in the urine proteome were observed throughout disease progression.

Conclusions:

• The study validates the use of animal models for understanding urine proteome dynamics in kidney disease.
• Identified stable urinary proteins hold promise as potential biomarkers for kidney diseases.
• These findings support urine's role as a critical biofluid for biomarker discovery and clinical validation in nephrology.