Author Interviews, Biomarkers, Kidney Disease, University of Michigan / 07.12.2015
Urine Biomarker Can Predict Chronic Kidney Disease Progression
MedicalResearch.com Interview with:
Wenjun Ju, Ph.D., M.S.
Research Assistant Professor, Internal Medicine
Matthias Kretzler, M.D.
Professor, Internal Medicine, Nephrology
Research Professor, Computational Medicine and Biology
University of Michigan Health System
Medical Research: What is the background for this study? What are the main findings?
Response: Chronic kidney disease (CKD) is a global health issue that affects approximately 15% of the global population.. While not all patients with CKD will progress to end-stage kidney disease (ESKD), those that do tend to advance quickly and require dialysis or kidney transplant. They are also at an increased risk of death from cardiovascular disease.
According to the International Society of Nephrology, treatment of CKD, including medical management, dialysis and kidney transplant, is very costly. In the U.S. alone, therapy for CKD is likely to exceed $48 billion per year, and the ESKD program consumes 6.7 percent of the total Medicare budget to care for less than 1 percent of the covered population. In China, the disease will cost the economy the equivalent of $558 billion in the U.S. over the next decade.
Early identification of patients that are more likely to experience end-stage kidney disease is an urgent, unmet clinical need. Currently, kidney biopsy is required to determine diagnosis and prognosis of kidney disease. This procedure is costly, carries a low, but significant health risk, and has limited ability to predict the future course of kidney disease.
Together with the European Renal cDNA Bank and the Peking University Institute of Nephrology, the University of Michigan team identified epidermal growth factor (EGF) as a promising candidate for prediction of kidney function loss while analyzing transcriptomic data derived from kidney tissue biopsies of CKD patients across Europe and the U.S. We then validated the findings in urine samples from more than 940 patients in North America, Europe and China, and found that a decrease in urinary EGF protein concentration is an early sign of diminishing kidney function and pinpoints the at-risk patient population.
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