INTRODUCTION: The ability to predict the health effects resulting from drug or chemical exposure has been challenging due to the complexity of human biology. Approaches that detect and discriminate a broad range of mechanisms in testing formats that are predictive and yet cost-effective are needed. METHODS: Here, we evaluated the performance of BioMAP systems, primary human cell-based disease models, as a platform for characterization of chemical toxicity mechanisms. For this we tested a set of compounds with known or well-studied mechanisms in a panel of 8 BioMAP assays relevant to human respiratory, skin, immune and vascular exposure sites. RESULTS: We evaluated the ability to detect and distinguish compounds based on mechanisms of action, comparing the BioMAP activity profiles generated in a reduced sample number format to reference database profiles derived from multiple experiments. We also studied the role of BioMAP assay panel size and concentration effects, both of which were found to contribute to the ability to discriminate chemicals and mechanisms. DISCUSSION: Compounds with diverse mechanisms, including modulators of the NFkappaB pathway, microtubule function and mitochondrial activity, could be discriminated and classified into target and pathway mechanisms in both assay formats. Certain inhibitors of mitochondrial function, such as rotenone and sodium azide, but not others, were classified with inducers of endoplasmic reticulum stress, providing insight into the toxicity mechanisms of these agents. This method may have utility in classifying novel agents with unknown modes of action according to their effects on toxicity pathways. Copyright 2009 Elsevier Inc. All rights reserved.
INTRODUCTION: The ability to predict the health effects resulting from drug or chemical exposure has been challenging due to the complexity of human biology. Approaches that detect and discriminate a broad range of mechanisms in testing formats that are predictive and yet cost-effective are needed. METHODS: Here, we evaluated the performance of BioMAP systems, primary human cell-based disease models, as a platform for characterization of chemical toxicity mechanisms. For this we tested a set of compounds with known or well-studied mechanisms in a panel of 8 BioMAP assays relevant to human respiratory, skin, immune and vascular exposure sites. RESULTS: We evaluated the ability to detect and distinguish compounds based on mechanisms of action, comparing the BioMAP activity profiles generated in a reduced sample number format to reference database profiles derived from multiple experiments. We also studied the role of BioMAP assay panel size and concentration effects, both of which were found to contribute to the ability to discriminate chemicals and mechanisms. DISCUSSION: Compounds with diverse mechanisms, including modulators of the NFkappaB pathway, microtubule function and mitochondrial activity, could be discriminated and classified into target and pathway mechanisms in both assay formats. Certain inhibitors of mitochondrial function, such as rotenone and sodium azide, but not others, were classified with inducers of endoplasmic reticulum stress, providing insight into the toxicity mechanisms of these agents. This method may have utility in classifying novel agents with unknown modes of action according to their effects on toxicity pathways. Copyright 2009 Elsevier Inc. All rights reserved.
Authors: Sarah V Maifeld; Andrew L MacKinnon; Jennifer L Garrison; Ajay Sharma; Eric J Kunkel; Ramanujan S Hegde; Jack Taunton Journal: Chem Biol Date: 2011-09-23
Authors: Nicole C Kleinstreuer; Jian Yang; Ellen L Berg; Thomas B Knudsen; Ann M Richard; Matthew T Martin; David M Reif; Richard S Judson; Mark Polokoff; David J Dix; Robert J Kavlock; Keith A Houck Journal: Nat Biotechnol Date: 2014-05-18 Impact factor: 54.908
Authors: John T Liles; Britton K Corkey; Gregory T Notte; Grant R Budas; Eric B Lansdon; Ford Hinojosa-Kirschenbaum; Shawn S Badal; Michael Lee; Brian E Schultz; Sarah Wise; Swetha Pendem; Michael Graupe; Laurie Castonguay; Keith A Koch; Melanie H Wong; Giuseppe A Papalia; Dorothy M French; Theodore Sullivan; Erik G Huntzicker; Frank Y Ma; David J Nikolic-Paterson; Tareq Altuhaifi; Haichun Yang; Agnes B Fogo; David G Breckenridge Journal: J Clin Invest Date: 2018-07-19 Impact factor: 14.808
Authors: Eric Martin; Stefan Knapp; Richard A Engh; Henrik Moebitz; Thibault Varin; Benoit Roux; Jens Meiler; Valerio Berdini; Alexander Baumann; Michal Vieth Journal: Biochim Biophys Acta Date: 2015-04-07
Authors: Philipp Haselmayer; Montserrat Camps; Lesley Liu-Bujalski; Ngan Nguyen; Federica Morandi; Jared Head; Alison O'Mahony; Simone C Zimmerli; Lisa Bruns; Andrew T Bender; Patricia Schroeder; Roland Grenningloh Journal: J Immunol Date: 2019-04-15 Impact factor: 5.422
Authors: Richard Judson; Robert Kavlock; Matthew Martin; David Reif; Keith Houck; Thomas Knudsen; Ann Richard; Raymond R Tice; Maurice Whelan; Menghang Xia; Ruili Huang; Christopher Austin; George Daston; Thomas Hartung; John R Fowle; William Wooge; Weida Tong; David Dix Journal: ALTEX Date: 2013 Impact factor: 6.043
Authors: Richard Judson; Keith Houck; Matt Martin; Ann M Richard; Thomas B Knudsen; Imran Shah; Stephen Little; John Wambaugh; R Woodrow Setzer; Parth Kothiya; Jimmy Phuong; Dayne Filer; Doris Smith; David Reif; Daniel Rotroff; Nicole Kleinstreuer; Nisha Sipes; Menghang Xia; Ruili Huang; Kevin Crofton; Russell S Thomas Journal: Toxicol Sci Date: 2016-05-20 Impact factor: 4.849
Authors: Ariane Hammitzsch; Cynthia Tallant; Oleg Fedorov; Alison O'Mahony; Paul E Brennan; Duncan A Hay; Fernando O Martinez; M Hussein Al-Mossawi; Jelle de Wit; Matteo Vecellio; Christopher Wells; Paul Wordsworth; Susanne Müller; Stefan Knapp; Paul Bowness Journal: Proc Natl Acad Sci U S A Date: 2015-08-10 Impact factor: 11.205