Publications by authors named "S V Waikar"

Background: We have previously studied biomarkers of tubular health (EGF), injury (KIM-1), dysfunction (alpha-1 microglobulin), and inflammation (TNFR-1, TNFR-2, MCP-1, YKL-40, suPAR), and demonstrated that plasma KIM-1, TNFR-1, TNFR-2 and urine KIM-1, EGF, MCP-1, urine alpha-1 microglobulin are each independently associated with CKD progression in children. In this study, we used bootstrapped survival trees to identify a combination of biomarkers to predict CKD progression in children.

Methods: The CKiD Cohort Study prospectively enrolled children 6 months to 16 years old with an eGFR of 30-90 ml/min/1.

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Two observational studies were conducted to support an initiative to qualify translational kidney safety biomarkers as clinical drug development tools that identify tubular injury prior to changes in estimated glomerular filtration rate (eGFR). Normal healthy volunteers provided three morning spot urine collections over 4 weeks. Patients undergoing surgical resection and intrathoracic cisplatin for malignant pleural mesothelioma provided urine samples pre- and postoperatively at 4, 8, and 12 hours and daily for 6 days.

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The organizational principles of nephronal segments are based on longstanding anatomical and physiological attributes that are closely linked to the homeostatic functions of the kidney. Novel molecular approaches have recently uncovered layers of deeper signatures and states in tubular cells that arise at various timepoints on the spectrum between health and disease. For example, a dedifferentiated state of proximal tubular cells with mesenchymal stemness markers is frequently seen after injury.

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Article Synopsis
  • Individuals with chronic kidney disease (CKD) are at a heightened risk for serious health issues as they progress towards kidney failure, prompting the need to identify proteins in the bloodstream that may play a role in this process.
  • A study analyzed data from two groups, AASK and BKBC, which included a total of 1,137 participants with baseline protein measurements to see how these proteins correlate with the risk of kidney failure.
  • The research identified 143 proteins linked to kidney failure, with one protein (Testican-2) associated with a reduced risk, highlighting the importance of certain proteins related to kidney health and disease mechanisms.
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