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Elevated Levels of Urinary Biomarkers TIMP-2 and IGFBP-7 Predict Acute Kidney Injury in Neonates after Congenital
Michelle Ramírez1, Sujata Chakravarti1, Melissa Busovsky-McNeal1
1Pediatric Cardiac Intensive Care, NYU Hassenfeld Children's Hospital, New York, United States.
Insights
Urinary biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP-7) effectively identify acute kidney injury (AKI) in neonates post-congenital heart surgery. Elevated levels 24 hours after cardiopulmonary bypass predict AKI development.
Area of Science:
- Nephrology
- Pediatric Cardiology
- Biomarker Discovery
Background:
- Acute kidney injury (AKI) is a significant complication following congenital heart surgery (CHS).
- Early and accurate identification of AKI is crucial for improving patient outcomes.
- Existing diagnostic methods may have limitations in the neonatal population.
Purpose of the Study:
- To evaluate the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP-7) for AKI detection in neonates undergoing CHS.
- To assess the predictive value of the combined biomarker panel [TIMP-2*IGFBP-7] for AKI.
- To correlate biomarker levels with AKI severity based on Acute Kidney Injury Network (AKIN) criteria.
Main Methods:
- Prospective, single-center study involving neonates undergoing CHS with cardiopulmonary bypass (CPB).
- Urine samples collected pre-surgery and at 6, 12, 24, and 96 hours post-CPB.
- Analysis of urinary [TIMP-2*IGFBP-7] using NephroCheck and evaluation by AKIN criteria.
- Statistical analysis including Wilcoxon rank sum tests and receiver operating characteristic (ROC) curves.
Main Results:
- Out of 36 neonates, 19 (53%) developed AKI post-operatively (13 stage 1, 5 stage 2, 1 stage 3).
- No patients required renal replacement therapy.
- Significantly higher urinary [TIMP-2*IGFBP-7] levels were observed in patients with AKI compared to those without AKI at 24 hours post-CPB (1.1 vs. 0.27 [ng/mL]²/1,000; adj-p=0.0019).
Conclusions:
- Urinary [TIMP-2*IGFBP-7] is a valuable and sensitive biomarker for predicting AKI in neonates after CHS.
- The combined biomarker panel demonstrates strong predictive performance for AKI at 24 hours post-CPB.
- This non-invasive method can aid in early AKI diagnosis and management in this vulnerable population.
Abstract:
Objectives This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP-7) in identifying acute kidney injury (AKI) in neonates after congenital heart surgery (CHS). TIMP-2 and IGFBP-7 are cell cycle arrest proteins detected in urine during periods of kidney stress/injury. Methods We conducted a single-center, prospective study between September 2017 and May 2019 with neonates undergoing CHS requiring cardiopulmonary bypass (CPB). Urine samples were analyzed using NephroCheck prior to surgery and 6, 12, 24, and 96 hours post-CPB. All patients were evaluated using the Acute Kidney Injury Network (AKIN) criteria. Wilcoxon rank sum tests were used to compare the medians of the [TIMP-2*IGFBP-7] values in the AKIN negative and positive groups at each time point. Receiver operating characteristic curves were used to measure how well the [TIMP-2*IGFBP-7] values predict AKIN status. Results Thirty-six patients were included. No patients met the AKIN criteria for AKI preoperatively. Postoperatively, 19 patients (53%) met the AKIN criteria for AKI diagnosis: 13 (36%) stage 1, 5 (14%) stage 2, and 1 (3%) stage 3. None required renal replacement therapy. At the 24-hour time points, patients who met the AKIN criteria for AKI had a statistically significantly higher [TIMP-2*IGFBP7] values than the patients without AKI (1.1 vs. 0.27 [ng/mL] 2 /1,000) at 24 hours (adj- p = 0.0019). Conclusion AKI is a serious complication associated with adverse outcomes in patients undergoing cardiac surgery. [TIMP-2*IGFBP-7] urinary level 24 hours after CPB is a good predictor of AKI in this population.
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