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Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques
Environmental and Molecular Mutagenesis, Volume: 66, Issue: 3, Pages: 122 - 133
Swansea University Authors:
YUSUF HUSSIEN, George Johnson
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DOI (Published version): 10.1002/em.70003
Abstract
In vitro genotoxicity has historically served a hazard identification role, with simple binary outcomes provided for each of several single endpoint assays. This will need to change, given: (i) efforts to curtail animal testing, (ii) the increased use of multiplexed in vitro assays and the ongoing d...
| Published in: | Environmental and Molecular Mutagenesis |
|---|---|
| ISSN: | 0893-6692 1098-2280 |
| Published: |
Wiley
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa68898 |
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2025-02-17T09:48:24Z |
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| last_indexed |
2025-05-01T04:30:10Z |
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2025-04-30T12:27:05.3261374 v2 68898 2025-02-17 Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques c5e624eb2a1820b0e5af65e544b67486 YUSUF HUSSIEN YUSUF HUSSIEN true false 37d0f121db69fd09f364df89e4405e31 0000-0001-5643-9942 George Johnson George Johnson true false 2025-02-17 In vitro genotoxicity has historically served a hazard identification role, with simple binary outcomes provided for each of several single endpoint assays. This will need to change, given: (i) efforts to curtail animal testing, (ii) the increased use of multiplexed in vitro assays and the ongoing development of NAMS, and (iii) the desire to holistically consider quantitative results from multiple biomarkers/endpoints that take potency into consideration. To help facilitate more quantitative analyses of multiple biomarkers and/or assay streams, we explored the combined use of PROAST and Toxicological Prioritization Index (ToxPi) software. As a proofofconcept, this investigation employed the MultiFlow DNA damage assay, focusing on γH2AX and p53 biomarkers at two time points, whereby 10 genotoxicants were evaluated in the presence and absence of rat liver S9 metabolic activation. Whereas PROAST was used to calculate BMD point estimates and confidence intervals (CIs), ToxPi synthesized the BMD results into visual, quantitative summaries conveying genotoxicity and metabolic properties. Our analyses suggest that ToxPi's data synthesis and visualization modules provide useful insights into compound response, chemical grouping, and genotoxic mechanisms. By integrating multiple data sources, we find that ToxPi offers a powerful complementary approach to traditional BMD CI graphs, particularly for the simultaneous analysis of multiple biomarkers, enhancing chemical potency analysis of complex datasets. Journal Article Environmental and Molecular Mutagenesis 66 3 122 133 Wiley 0893-6692 1098-2280 benchmark dose analysis, data visualization, flow cytometry, genotoxicity, hierarchical clustering, ToxPi 13 3 2025 2025-03-13 10.1002/em.70003 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) This work was supported by Health and Environmental Sciences Institute, HESI GTTC Fast Fund. 2025-04-30T12:27:05.3261374 2025-02-17T09:42:41.2127691 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Biomedical Science YUSUF HUSSIEN 1 Stephen D. Dertinger 2 George Johnson 0000-0001-5643-9942 3 68898__33818__963fe2d13fe34b2e9db1dd59cb98db92.pdf 68898.VOR.pdf 2025-03-14T14:38:31.3754348 Output 666766 application/pdf Version of Record true © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
| spellingShingle |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques YUSUF HUSSIEN George Johnson |
| title_short |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
| title_full |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
| title_fullStr |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
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Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
| title_sort |
Synthesizing Genotoxicity Results in the MultiFlow Assay With Point-of-Departure Analysis and ToxPi Visualization Techniques |
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c5e624eb2a1820b0e5af65e544b67486_***_YUSUF HUSSIEN 37d0f121db69fd09f364df89e4405e31_***_George Johnson |
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YUSUF HUSSIEN George Johnson |
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YUSUF HUSSIEN Stephen D. Dertinger George Johnson |
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Environmental and Molecular Mutagenesis |
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10.1002/em.70003 |
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Wiley |
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In vitro genotoxicity has historically served a hazard identification role, with simple binary outcomes provided for each of several single endpoint assays. This will need to change, given: (i) efforts to curtail animal testing, (ii) the increased use of multiplexed in vitro assays and the ongoing development of NAMS, and (iii) the desire to holistically consider quantitative results from multiple biomarkers/endpoints that take potency into consideration. To help facilitate more quantitative analyses of multiple biomarkers and/or assay streams, we explored the combined use of PROAST and Toxicological Prioritization Index (ToxPi) software. As a proofofconcept, this investigation employed the MultiFlow DNA damage assay, focusing on γH2AX and p53 biomarkers at two time points, whereby 10 genotoxicants were evaluated in the presence and absence of rat liver S9 metabolic activation. Whereas PROAST was used to calculate BMD point estimates and confidence intervals (CIs), ToxPi synthesized the BMD results into visual, quantitative summaries conveying genotoxicity and metabolic properties. Our analyses suggest that ToxPi's data synthesis and visualization modules provide useful insights into compound response, chemical grouping, and genotoxic mechanisms. By integrating multiple data sources, we find that ToxPi offers a powerful complementary approach to traditional BMD CI graphs, particularly for the simultaneous analysis of multiple biomarkers, enhancing chemical potency analysis of complex datasets. |
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2025-03-13T05:26:43Z |
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