An in vitro method for nephrotoxicity evaluation using HK-2 human kidney epithelial cells combined with biomarkers of

Xuan Qiu1,2, Xiaobing Zhou2, Yufa Miao2

  • 1Chinese Academy of Medical Sciences & Peking Union Medical College , No. 9 , Dongdan Santiao , Dongcheng District , Beijing 100730 , China .

Toxicology Research
|December 5, 2018
PubMed

Insights

Developing new biomarkers for kidney toxicity is crucial for early drug safety evaluation. An in vitro model using HK-2 cells and specific biomarkers like KIM-1 and clusterin shows promise for predicting nephrotoxicity.

Area of Science:

  • Toxicology
  • Biomarker Discovery
  • In Vitro Models

Background:

  • Kidney toxicity is a significant concern in drug development, with traditional markers often detecting damage too late.
  • Current methods for assessing drug-induced kidney damage are costly and lack sensitivity for early detection.
  • There is a critical need for validated in vitro models and sensitive biomarkers for early nephrotoxicity prediction.

Purpose of the Study:

  • To develop and validate an in vitro model for predicting drug-induced nephrotoxicity.
  • To evaluate the efficacy of novel nephrotoxicity biomarkers as endpoints in an HK-2 cell-based model.
  • To identify a combination of biomarkers that enhances the predictive performance for kidney toxicity.

Main Methods:

  • An in vitro model was established using HK-2 cells.
  • The predictive performance of multiple nephrotoxicity biomarkers (LDH, GGT, KIM-1, clusterin, CysC, NGAL, TIMP-1, GSTπ, osteopontin) was assessed.
  • The model was tested using 22 well-characterized compounds to evaluate biomarker efficacy.

Main Results:

  • Individual biomarkers KIM-1, clusterin, CysC, and osteopontin demonstrated predictive performance with Area Under the Curve (AUC) values ranging from 0.79 to 0.84.
  • Combining clusterin, KIM-1, and osteopontin significantly improved predictive accuracy, with AUC values ranging from 0.88 to 0.95.
  • The developed HK-2 cell model showed potential for early detection of nephrotoxicity.

Conclusions:

  • The HK-2 cell-based in vitro model utilizing clusterin, osteopontin, CysC, and KIM-1 as endpoints is effective for predicting drug-induced nephrotoxicity.
  • This model offers a sensitive and reliable method for early preclinical assessment of kidney toxicity.
  • The findings support the use of this model for regulatory-accepted in vitro evaluation of drug safety.

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