Literature DB >> 24495215

Identification of nephrotoxic compounds with embryonic stem-cell-derived human renal proximal tubular-like cells.

Yao Li1, Karthikeyan Kandasamy, Jacqueline Kai Chin Chuah, Yue Ning Lam, Wei Seong Toh, Zay Yar Oo, Daniele Zink.   

Abstract

The kidney is a major target for drug-induced toxicity, and the renal proximal tubule is frequently affected. Nephrotoxicity is typically detected only late during drug development, and the nephrotoxic potential of newly approved drugs is often underestimated. A central problem is the lack of preclinical models with high predictivity. Validated in vitro models for the prediction of nephrotoxicity are not available. Major problems are related to the identification of appropriate cell models and end points. As drug-induced kidney injury is associated with inflammatory reactions, we explored the expression of inflammatory markers as end point for renal in vitro models. In parallel, we developed a new cell model. Here, we combined these approaches and developed an in vitro model with embryonic stem-cell-derived human renal proximal tubular-like cells that uses the expression of interleukin (IL)-6 and IL-8 as end points. The predictivity of the model was evaluated with 41 well-characterized compounds. The results revealed that the model predicts proximal tubular toxicity in humans with high accuracy. In contrast, the predictivity was low when well-established standard in vitro assays were used. Together, the results show that high predictivity can be obtained with in vitro models employing pluripotent stem cell-derived human renal proximal tubular-like cells.

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Year:  2014        PMID: 24495215     DOI: 10.1021/mp400637s

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  16 in total

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

Authors:  Xuan Qiu; Xiaobing Zhou; Yufa Miao; Bo Li
Journal:  Toxicol Res (Camb)       Date:  2018-08-13       Impact factor: 3.524

2.  Evaluation of biomarkers for in vitro prediction of drug-induced nephrotoxicity in RPTEC/TERT1 cells.

Authors:  Xuan Qiu; Yufa Miao; Xingchao Geng; Xiaobing Zhou; Bo Li
Journal:  Toxicol Res (Camb)       Date:  2020-04-24       Impact factor: 3.524

Review 3.  Renal lineage cells as a source for renal regeneration.

Authors:  Oren Pleniceanu; Dorit Omer; Orit Harari-Steinberg; Benjamin Dekel
Journal:  Pediatr Res       Date:  2017-11-15       Impact factor: 3.756

Review 4.  Tissue Culture Models of AKI: From Tubule Cells to Human Kidney Organoids.

Authors:  Julie Bejoy; Eddie S Qian; Lauren E Woodard
Journal:  J Am Soc Nephrol       Date:  2022-01-14       Impact factor: 10.121

Review 5.  Emerging Kidney Models to Investigate Metabolism, Transport, and Toxicity of Drugs and Xenobiotics.

Authors:  Piyush Bajaj; Swapan K Chowdhury; Robert Yucha; Edward J Kelly; Guangqing Xiao
Journal:  Drug Metab Dispos       Date:  2018-08-03       Impact factor: 3.922

Review 6.  Understanding kidney morphogenesis to guide renal tissue regeneration.

Authors:  Melissa H Little; Alexander N Combes; Minoru Takasato
Journal:  Nat Rev Nephrol       Date:  2016-08-30       Impact factor: 28.314

7.  A Quantitative Approach to Screen for Nephrotoxic Compounds In Vitro.

Authors:  Melanie Adler; Susanne Ramm; Marc Hafner; Jeremy L Muhlich; Esther Maria Gottwald; Elijah Weber; Alenka Jaklic; Amrendra Kumar Ajay; Daniel Svoboda; Scott Auerbach; Edward J Kelly; Jonathan Himmelfarb; Vishal S Vaidya
Journal:  J Am Soc Nephrol       Date:  2015-08-10       Impact factor: 10.121

8.  3-D Human Renal Tubular Organoids Generated from Urine-Derived Stem Cells for Nephrotoxicity Screening.

Authors:  Haibin Guo; Nan Deng; Lei Dou; Huifen Ding; Tracy Criswell; Anthony Atala; Cristina M Furdui; Yuanyuan Zhang
Journal:  ACS Biomater Sci Eng       Date:  2020-11-13

9.  In vitro prediction of organ toxicity: the challenges of scaling and secondary mechanisms of toxicity.

Authors:  Jan G Hengstler; Anna-Karin Sjögren; Daniele Zink; Jorrit J Hornberg
Journal:  Arch Toxicol       Date:  2020-02-17       Impact factor: 5.153

10.  Prediction of drug-induced nephrotoxicity and injury mechanisms with human induced pluripotent stem cell-derived cells and machine learning methods.

Authors:  Karthikeyan Kandasamy; Jacqueline Kai Chin Chuah; Ran Su; Peng Huang; Kim Guan Eng; Sijing Xiong; Yao Li; Chun Siang Chia; Lit-Hsin Loo; Daniele Zink
Journal:  Sci Rep       Date:  2015-07-27       Impact factor: 4.379

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