Literature DB >> 22166485

Evaluation of drugs with specific organ toxicities in organ-specific cell lines.

Zhiwu Lin1, Yvonne Will.   

Abstract

Safety attrition of drugs during preclinical development as well as in late-stage clinical trials continues to be a challenge for the pharmaceutical industry for patient welfare and financial reasons. Hepatic, cardiac, and nephrotoxicity remain the main reasons for compound termination. In recent years, efforts have been made to identify such liabilities earlier in the drug development process, through utilization of in silico and cytotoxicity models. Several publications have aimed to predict specific organ toxicities. For example, two large-scale evaluations of hepatotoxic compounds have been conducted. In contrast, only small cardiotoxic and nephrotoxic compound sets have been evaluated. Here, we investigated the utility of hepatic-, cardiac-, and kidney-derived cell lines to (1) accurately predict cytotoxicity and (2) to accurately predict specific organ toxicities. We tested 273 hepatotoxic, 191 cardiotoxic, and 85 nephrotoxic compounds in HepG2 (hepatocellular carcinoma), H9c2 (embryonic myocardium), and NRK-52E (kidney proximal tubule) cells for their cytotoxicity. We found that the majority of compounds, regardless of their designated organ toxicities, had similar effects in all three cell lines. Only approximately 5% of compounds showed differential toxicity responses in the cell lines with no obvious correlation to the known in vivo organ toxicity. Our results suggest that from a general screening perspective, different cell lines have relatively equal value in assessing general cytotoxicity and that specific organ toxicity cannot be accurately predicted using such a simple approach. Select organ toxicity potentially results from compound accumulation in a particular tissue, cell types within organs, metabolism, and off-target effects. Our analysis, however, demonstrates that the prediction can be improved significantly when human C(max) values are incorporated.

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Year:  2011        PMID: 22166485     DOI: 10.1093/toxsci/kfr339

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  35 in total

1.  Naïve Bayesian Models for Vero Cell Cytotoxicity.

Authors:  Alexander L Perryman; Jimmy S Patel; Riccardo Russo; Eric Singleton; Nancy Connell; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2018-06-29       Impact factor: 4.200

Review 2.  Progress, obstacles, and limitations in the use of stem cells in organ-on-a-chip models.

Authors:  Alexa Wnorowski; Huaxiao Yang; Joseph C Wu
Journal:  Adv Drug Deliv Rev       Date:  2018-06-06       Impact factor: 15.470

3.  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

4.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

5.  In vitro cardiotoxicity assessment of environmental chemicals using an organotypic human induced pluripotent stem cell-derived model.

Authors:  Oksana Sirenko; Fabian A Grimm; Kristen R Ryan; Yasuhiro Iwata; Weihsueh A Chiu; Frederick Parham; Jessica A Wignall; Blake Anson; Evan F Cromwell; Mamta Behl; Ivan Rusyn; Raymond R Tice
Journal:  Toxicol Appl Pharmacol       Date:  2017-03-01       Impact factor: 4.219

6.  A human liver microphysiology platform for investigating physiology, drug safety, and disease models.

Authors:  Lawrence A Vernetti; Nina Senutovitch; Robert Boltz; Richard DeBiasio; Tong Ying Shun; Albert Gough; D Lansing Taylor
Journal:  Exp Biol Med (Maywood)       Date:  2015-07-22

7.  In vitro screening for population variability in toxicity of pesticide-containing mixtures.

Authors:  Nour Abdo; Barbara A Wetmore; Grace A Chappell; Damian Shea; Fred A Wright; Ivan Rusyn
Journal:  Environ Int       Date:  2015-09-19       Impact factor: 9.621

8.  A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

Authors:  Susanne Ramm; Petar Todorov; Vidya Chandrasekaran; Anders Dohlman; Maria B Monteiro; Mira Pavkovic; Jeremy Muhlich; Harish Shankaran; William W Chen; Jerome T Mettetal; Vishal S Vaidya
Journal:  Toxicol Sci       Date:  2019-05-01       Impact factor: 4.849

9.  A Targeted Metabolomics-Based Assay Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Identifies Structural and Functional Cardiotoxicity Potential.

Authors:  Jessica A Palmer; Alan M Smith; Vitalina Gryshkova; Elizabeth L R Donley; Jean-Pierre Valentin; Robert E Burrier
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

10.  Combining computational methods for hit to lead optimization in Mycobacterium tuberculosis drug discovery.

Authors:  Sean Ekins; Joel S Freundlich; Judith V Hobrath; E Lucile White; Robert C Reynolds
Journal:  Pharm Res       Date:  2013-10-17       Impact factor: 4.200

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