Literature DB >> 20631060

High-content micronucleus assay in genotoxicity profiling: initial-stage development and some applications in the investigative/lead-finding studies in drug discovery.

Madhu S Mondal1, Joseph Gabriels, Claudia McGinnis, Maria Magnifico, Thomas H Marsilje, Laszlo Urban, Alan Collis, Dejan Bojanic, Scott A Biller, Wilfried Frieauff, Hans-Joerg Martus, Willi Suter, Philip Bentley.   

Abstract

This article describes the first step toward full (that includes conditions for both absence and presence of metabolic activation) validation and drug discovery application of a 96-well, automated, high-content micronucleus (HCMN) assay. The current validation tests were performed using Chinese hamster ovary cells, in the absence of metabolic activation, against three distinct sets of drug-like compounds that represent all stages of a drug discovery pipeline. A compound categorization scheme was created based on quantitative relationships between micronucleus (MN) signals, cytotoxicity, and compound solubility. Results from initial validation compounds (n = 38) set the stage for differentiating overall positive and negative MN inducers. To delve deeper into the compound categorization process, a more extensive validation set, consisting of a larger set (n = 370) of "drug-like but less optimized" early-stage compounds, was used for further refinement of positive and negative compound categories. The predictivity and applicability of the assay for clinical stage compounds was ascertained using (n = 168) clinically developed marketed drugs or well-studied compounds. Upon full validation, a detailed analysis of results established five compound categories--NEG (negative), NEG/xx μM (negative up to the solubility limit of xx μM), WPOS (weak positive), POS (positive), and INCON (inconclusive). Furthermore, examples of lead-finding applications and ongoing investigative HCMN activities are described. A proposal is offered on how the HCMN assay can be positioned in parallel to the overall stage gates (e.g., scaffold selection, lead optimization, late-stage preclinical development) of drug discovery programs. Because of its greater throughput, 1-week turnaround time, and a substantially reduced (1-2 mg) requirement for compound consumption, the HCMN assay is appropriate for developing structure-genotoxicity relationships and for mechanistic genotoxicity studies. The assay does not replace the Organization for Economic Cooperation and Development-compliant, non-good laboratory practice in vitro MN test (e.g., slide-based MN test in TK6 lymphoblastoid cells) that is used for full characterization of lead candidates.

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Year:  2010        PMID: 20631060     DOI: 10.1093/toxsci/kfq181

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


  3 in total

Review 1.  High throughput toxicity screening and intracellular detection of nanomaterials.

Authors:  Andrew R Collins; Balasubramanyam Annangi; Laura Rubio; Ricard Marcos; Marco Dorn; Carolin Merker; Irina Estrela-Lopis; Mihaela Roxana Cimpan; Mohamed Ibrahim; Emil Cimpan; Melanie Ostermann; Alexander Sauter; Naouale El Yamani; Sergey Shaposhnikov; Sylvie Chevillard; Vincent Paget; Romain Grall; Jozo Delic; Felipe Goñi- de-Cerio; Blanca Suarez-Merino; Valérie Fessard; Kevin N Hogeveen; Lise Maria Fjellsbø; Elise Runden Pran; Tana Brzicova; Jan Topinka; Maria João Silva; P E Leite; A R Ribeiro; J M Granjeiro; Roland Grafström; Adriele Prina-Mello; Maria Dusinska
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2016-06-07

2.  Transforming early pharmaceutical assessment of genotoxicity: applying statistical learning to a high throughput, multi end point in vitro micronucleus assay.

Authors:  Amy Wilson; Piotr Grabowski; Joanne Elloway; Stephanie Ling; Jonathan Stott; Ann Doherty
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

3.  Assessment of Cr(VI)-induced cytotoxicity and genotoxicity using high content analysis.

Authors:  Chad M Thompson; Yuriy Fedorov; Daniel D Brown; Mina Suh; Deborah M Proctor; Liz Kuriakose; Laurie C Haws; Mark A Harris
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

  3 in total

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