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Updated: Jul 14, 2025

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
Published on: May 2, 2025
Proteomics of CKD progression in the chronic renal insufficiency cohort
Ruth F Dubin1, Rajat Deo2, Yue Ren3
1Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX, USA. ruth.dubin@utsouthwestern.edu.
Insights
Researchers identified 100 plasma proteins linked to chronic kidney disease (CKD) progression. A 65-protein model predicts risk, offering potential therapeutic targets to slow kidney failure.
Area of Science:
- Nephrology
- Proteomics
- Biomarker Discovery
Background:
- Chronic kidney disease (CKD) progression leads to severe complications, including kidney failure.
- Identifying predictive biomarkers is crucial for managing CKD and preventing adverse outcomes.
Purpose of the Study:
- To identify circulating proteins associated with CKD progression.
- To develop a predictive risk model for kidney failure.
- To explore potential therapeutic targets for slowing CKD.
Main Methods:
- Analysis of 4638 plasma proteins in 3235 participants from the Chronic Renal Insufficiency Cohort Study over 10 years.
- Primary outcome: 50% decline in estimated glomerular filtration rate or kidney failure.
- Validation in the Atherosclerosis Risk in the Communities study; Bonferroni correction for statistical significance.
Main Results:
- 100 circulating proteins associated with CKD progression identified.
- Biological pathways implicated include bone morphogenetic proteins, ephrin signaling, and prothrombin activation.
- A 65-protein risk model demonstrated excellent discrimination (C-statistic: 0.862).
- Five potentially causal proteins identified via Mendelian randomization: EGFL9, LRP-11, MXRA7, IL-1 sRII, and ILT-2.
- 14 of the 65 proteins in the risk model are druggable targets.
Conclusions:
- Circulating proteins are significantly associated with CKD progression and kidney failure.
- A multi-protein risk model shows high predictive accuracy.
- Identified proteins and pathways offer novel therapeutic targets for slowing CKD progression.
Abstract:
Progression of chronic kidney disease (CKD) portends myriad complications, including kidney failure. In this study, we analyze associations of 4638 plasma proteins among 3235 participants of the Chronic Renal Insufficiency Cohort Study with the primary outcome of 50% decline in estimated glomerular filtration rate or kidney failure over 10 years. We validate key findings in the Atherosclerosis Risk in the Communities study. We identify 100 circulating proteins that are associated with the primary outcome after multivariable adjustment, using a Bonferroni statistical threshold of significance. Individual protein associations and biological pathway analyses highlight the roles of bone morphogenetic proteins, ephrin signaling, and prothrombin activation. A 65-protein risk model for the primary outcome has excellent discrimination (C-statistic[95%CI] 0.862 [0.835, 0.889]), and 14/65 proteins are druggable targets. Potentially causal associations for five proteins, to our knowledge not previously reported, are supported by Mendelian randomization: EGFL9, LRP-11, MXRA7, IL-1 sRII and ILT-2. Modifiable protein risk markers can guide therapeutic drug development aimed at slowing CKD progression.
Related Concept Videos
Chronic Kidney Disease I: Introduction
Chronic Kidney Disease III: Interprofessional Care
Chronic Kidney Disease II: Clinical Manifestations
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Acute Kidney Injury II: Pathophysiology
Acute Kidney Injury III: Clinical Manifestations

