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Updated: Feb 24, 2026

Bilateral Renal Ischemia-Reperfusion Model for Acute Kidney Injury in Mice
Published on: February 2, 2024
Risk prediction of acute kidney injury by [TIMP-2]•[IGFBP7]
M Kimmel1, M Schanz2, M D Alscher2
1Department of Internal Medicine, Division of General Internal Medicine and Nephrology, Robert-Bosch Hospital Stuttgart, Germany. martin.kimmel@rbk.de.
Abstract:
Acute kidney injury (AKI) is a common syndrome with increased mortality, a heavy burden of illness and high cost. The Kidney Disease Improving Global Outcomes (KDIGO) criteria for staging of AKI have been validated in large patient cohorts and classify AKI into three stages. In order to achieve prevention or early therapy, the focus of scientific interest is early detection and risk prediction of AKI. The combination of the two cell cycle arrest markers [TIMP-2]·[IGFBP7] in the urine shows good results in the risk prediction of AKI in different clinical settings (intensive care medicine, sepsis, cardiac surgery, emergency department). Clinical use is currently being tested in different randomized intervention studies.
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