Please use this identifier to cite or link to this item: https://doi.org/10.1021/mp400720w
Title: Drug-Induced Nephrotoxicity: Clinical Impact and Preclinical in Vitro Models
Authors: Tiong, Ho Yee 
Huang, Peng
Xiong, Sijing
Li, Yao
Vathsala, Anantharaman 
Zink, Daniele
Keywords: Science & Technology
Life Sciences & Biomedicine
Medicine, Research & Experimental
Pharmacology & Pharmacy
Research & Experimental Medicine
drug-induced nephrotoxicity
nephrotoxicant
in vitro model
predictivity
renal proximal tubular cell
stem cell
ACUTE KIDNEY INJURY
GELATINASE-ASSOCIATED LIPOCALIN
ACUTE-RENAL-FAILURE
PROXIMAL TUBULAR CELLS
EPITHELIAL-CELLS
PRIMARY CULTURES
URINARY BIOMARKER
MOLECULE-1 KIM-1
EXPRESSION
TOXICITY
Issue Date: 1-Jul-2014
Publisher: AMER CHEMICAL SOC
Citation: Tiong, Ho Yee, Huang, Peng, Xiong, Sijing, Li, Yao, Vathsala, Anantharaman, Zink, Daniele (2014-07-01). Drug-Induced Nephrotoxicity: Clinical Impact and Preclinical in Vitro Models. MOLECULAR PHARMACEUTICS 11 (7) : 1933-1948. ScholarBank@NUS Repository. https://doi.org/10.1021/mp400720w
Abstract: The kidney is a major target for drug-induced toxicity. Drug-induced nephrotoxicity remains a major problem in the clinical setting, where the use of nephrotoxic drugs is often unavoidable. This leads frequently to acute kidney injury, and current problems are discussed. One strategy to avoid such problems would be the development of drugs with decreased nephrotoxic potential. However, the prediction of nephrotoxicity during preclinical drug development is difficult and nephrotoxicity is typically detected only late. Also, the nephrotoxic potential of newly approved drugs is often underestimated. Regulatory approved or validated in vitro models for the prediction of nephrotoxicity are currently not available. Here, we will review current approaches on the development of such models. This includes a discussion of three-dimensional and microfluidic models and recently developed stem cell based approaches. Most in vitro models have been tested with a limited number of compounds and are of unclear predictivity. However, some studies have tested larger numbers of compounds and the predictivity of the respective in vitro model had been determined. The results showed that high predictivity can be obtained by using primary or stem cell derived human renal cells in combination with appropriate end points. © 2014 American Chemical Society.
Source Title: MOLECULAR PHARMACEUTICS
URI: https://scholarbank.nus.edu.sg/handle/10635/229376
ISSN: 15438384
15438392
DOI: 10.1021/mp400720w
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