The research, conducted by Dr. Sarah J. Schrauben and colleagues from the Department of Medicine and Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine, University of Pennsylvania, explored the role of urinary biomarkers in predicting CKD progression in individuals with diabetes. The investigators analyzed data from 898 participants in the Chronic Renal Insufficiency Cohort (CRIC) who had diabetes and an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73 m². A randomly selected subcohort of 599 participants with available urine samples within one year of enrollment was examined for key proteins in their urine.
Over a median follow-up period of 7.35 years, the team assessed biomarkers related to tubular health and inflammation, including kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), α1-microglobulin, EGF, and uromodulin. CKD progression was defined as the occurrence of incident end-stage kidney disease (ESKD) or a decline of 40% or more in baseline eGFR. Weighted Cox regression models, adjusted for conventional CKD risk factors such as eGFR and urine albumin-to-creatinine ratio, were used to evaluate the relationship between these urinary biomarkers and disease progression.
The study led to the following findings:
- Higher urine levels of KIM-1 and MCP-1 were associated with an increased risk of CKD progression.
- A twofold increase in urine KIM-1/creatinine corresponded to a 16% higher risk (HR: 1.16).
- Participants in the highest quartile of KIM-1 had a significantly greater risk compared to those in the lowest quartile (HR: 1.71).
- Those in the highest quartile of MCP-1 also faced a higher risk than those in the lowest quartile (HR: 1.65).
- Increased urine EGF/creatinine levels were linked to a protective effect against CKD progression.
- Participants in the highest quartile of urine EGF/creatinine had a 43% lower risk compared to those in the lowest quartile (HR: 0.57).
According to the authors, these findings highlight the potential of urine biomarkers as noninvasive indicators of tubulointerstitial health in diabetic kidney disease. The ability to measure KIM-1, MCP-1, and EGF in urine offers a promising approach to identify individuals at higher risk for CKD progression without resorting to invasive procedures.
Dr. Schrauben and her team emphasized that incorporating such biomarkers into clinical practice could enhance early detection and facilitate targeted interventions in diabetic patients vulnerable to kidney disease progression. They note that further research is needed to validate these markers across diverse populations and integrate them into risk prediction models for improved management of diabetic kidney disease.
Reference:
Schrauben, Sarah J.1; Zhang, Xiaoming2; Xie, Dawei2; Coca, Steven3; Greenberg, Jason H.4; Ix, Joachim H.5; Shlipak, Michael G.6; Hsu, Chi-yuan7,8; Taliercio, Jonathan J.9; Parikh, Chirag R.10; Gutierrez, Orlando11; Sarnak, Mark J.12; Dobre, Mirela A.13; Cohen, Debbie14; Schelling, Jeffrey R.15; Rao, Panduranga S.16; Unruh, Mark L.17; Ricardo, Ana C.18; Waikar, Sushrut19; Kimmel, Paul L.20; Bonventre, Joseph V.21; On behalf of the CKD Biomarkers Consortium and the CRIC investigators. Urine Biomarkers for Diabetic Kidney Disease Progression in Participants of the Chronic Renal Insufficiency Cohort Study. Clinical Journal of the American Society of Nephrology 20(7):p 958-967, July 2025. | DOI: 10.2215/CJN.0000000711
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