Chemical target and pathway toxicity mechanisms defined in primary human cell systems
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. Here, we evalu...
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Published in: | Journal of pharmacological and toxicological methods Vol. 61; no. 1; pp. 3 - 15 |
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Abstract | 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.
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.
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.
Compounds with diverse mechanisms, including modulators of the NFκB 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. |
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AbstractList | 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.
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.
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.
Compounds with diverse mechanisms, including modulators of the NFκB 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. 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. 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. 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. 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. 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 NF Kappa B 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. |
Author | Melrose, Jennifer Rosler, Elen Yang, Jian Kunkel, Eric J. Berg, Ellen L. Nguyen, Dat Privat, Sylvie Ekins, Sean |
Author_xml | – sequence: 1 givenname: Ellen L. surname: Berg fullname: Berg, Ellen L. email: eberg@bioseekinc.com organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 2 givenname: Jian surname: Yang fullname: Yang, Jian organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 3 givenname: Jennifer surname: Melrose fullname: Melrose, Jennifer organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 4 givenname: Dat surname: Nguyen fullname: Nguyen, Dat organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 5 givenname: Sylvie surname: Privat fullname: Privat, Sylvie organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 6 givenname: Elen surname: Rosler fullname: Rosler, Elen organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 7 givenname: Eric J. surname: Kunkel fullname: Kunkel, Eric J. organization: BioSeek, Inc., 310 Utah #100, South San Francisco, CA 94080, USA – sequence: 8 givenname: Sean surname: Ekins fullname: Ekins, Sean organization: Collaborative Drug Discovery, Inc., 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA |
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Keywords | Human Smooth muscle cell Endothelial cell Mitochondria Epithelial cell Cell-based assay Inflammation Microtubule Mechanism of action Toxicity pathway |
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Snippet | 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... Introduction - The ability to predict the health effects resulting from drug or chemical exposure has been challenging due to the complexity of human biology.... |
SourceID | proquest crossref pubmed elsevier |
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StartPage | 3 |
SubjectTerms | Biomarkers Cell Culture Techniques - economics Cell-based assay Cells, Cultured Drug Evaluation, Preclinical - methods Drug-Related Side Effects and Adverse Reactions Endoplasmic Reticulum - drug effects Endothelial cell Environmental Exposure - adverse effects Epithelial cell Human Humans Inflammation Mechanism of action Microtubule Microtubules - drug effects Mitochondria Mitochondria - drug effects NF-kappa B - agonists NF-kappa B - antagonists & inhibitors Noxae - classification Pharmaceutical Preparations - classification Smooth muscle cell Toxicity pathway Toxicity Tests |
Title | Chemical target and pathway toxicity mechanisms defined in primary human cell systems |
URI | https://dx.doi.org/10.1016/j.vascn.2009.10.001 https://www.ncbi.nlm.nih.gov/pubmed/19879948 https://search.proquest.com/docview/21319665 |
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