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The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure

Considerable data has been generated to elucidate the transcriptional response of cells to ultraviolet radiation (UVR) exposure providing a mechanistic understanding of UVR‐induced cellular responses. However, using these data to support standards development has been challenging. In this study, we...

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Autores principales: Qutob, Sami S., Chauhan, Vinita, Kuo, Byron, Williams, Andrew, Yauk, Carole L., McNamee, James P., Gollapudi, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099464/
https://www.ncbi.nlm.nih.gov/pubmed/29761935
http://dx.doi.org/10.1002/em.22196
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author Qutob, Sami S.
Chauhan, Vinita
Kuo, Byron
Williams, Andrew
Yauk, Carole L.
McNamee, James P.
Gollapudi, B.
author_facet Qutob, Sami S.
Chauhan, Vinita
Kuo, Byron
Williams, Andrew
Yauk, Carole L.
McNamee, James P.
Gollapudi, B.
author_sort Qutob, Sami S.
collection PubMed
description Considerable data has been generated to elucidate the transcriptional response of cells to ultraviolet radiation (UVR) exposure providing a mechanistic understanding of UVR‐induced cellular responses. However, using these data to support standards development has been challenging. In this study, we apply benchmark dose (BMD) modeling of transcriptional data to derive thresholds of gene responsiveness following exposure to solar‐simulated UVR. Human epidermal keratinocytes were exposed to three doses (10, 20, 150 kJ/m(2)) of solar simulated UVR and assessed for gene expression changes 6 and 24 hr postexposure. The dose‐response curves for genes with p‐fit values (≥ 0.1) were used to derive BMD values for genes and pathways. Gene BMDs were bi‐modally distributed, with a peak at ∼16 kJ/m(2) and ∼108 kJ/m(2) UVR exposure. Genes/pathways within Mode 1 were involved in cell signaling and DNA damage response, while genes/pathways in the higher Mode 2 were associated with immune response and cancer development. The median value of each Mode coincides with the current human exposure limits for UVR and for the minimal erythemal dose, respectively. Such concordance implies that the use of transcriptional BMD data may represent a promising new approach for deriving thresholds of actinic effects. Environ. Mol. Mutagen. 59:502–515, 2018. © 2018 The Authors Environmental and Molecular Mutagenesis published by Wiley Periodicals, Inc. on behalf of Environmental Mutagen Society
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spelling pubmed-60994642018-08-24 The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure Qutob, Sami S. Chauhan, Vinita Kuo, Byron Williams, Andrew Yauk, Carole L. McNamee, James P. Gollapudi, B. Environ Mol Mutagen Research Articles Considerable data has been generated to elucidate the transcriptional response of cells to ultraviolet radiation (UVR) exposure providing a mechanistic understanding of UVR‐induced cellular responses. However, using these data to support standards development has been challenging. In this study, we apply benchmark dose (BMD) modeling of transcriptional data to derive thresholds of gene responsiveness following exposure to solar‐simulated UVR. Human epidermal keratinocytes were exposed to three doses (10, 20, 150 kJ/m(2)) of solar simulated UVR and assessed for gene expression changes 6 and 24 hr postexposure. The dose‐response curves for genes with p‐fit values (≥ 0.1) were used to derive BMD values for genes and pathways. Gene BMDs were bi‐modally distributed, with a peak at ∼16 kJ/m(2) and ∼108 kJ/m(2) UVR exposure. Genes/pathways within Mode 1 were involved in cell signaling and DNA damage response, while genes/pathways in the higher Mode 2 were associated with immune response and cancer development. The median value of each Mode coincides with the current human exposure limits for UVR and for the minimal erythemal dose, respectively. Such concordance implies that the use of transcriptional BMD data may represent a promising new approach for deriving thresholds of actinic effects. Environ. Mol. Mutagen. 59:502–515, 2018. © 2018 The Authors Environmental and Molecular Mutagenesis published by Wiley Periodicals, Inc. on behalf of Environmental Mutagen Society John Wiley and Sons Inc. 2018-05-15 2018-07 /pmc/articles/PMC6099464/ /pubmed/29761935 http://dx.doi.org/10.1002/em.22196 Text en Copyright © 2018 The Authors Environmental and Molecular Mutagenesis published by Wiley Periodicals, Inc. on behalf of Environmental Mutagen Society This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Qutob, Sami S.
Chauhan, Vinita
Kuo, Byron
Williams, Andrew
Yauk, Carole L.
McNamee, James P.
Gollapudi, B.
The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title_full The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title_fullStr The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title_full_unstemmed The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title_short The application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
title_sort application of transcriptional benchmark dose modeling for deriving thresholds of effects associated with solar‐simulated ultraviolet radiation exposure
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099464/
https://www.ncbi.nlm.nih.gov/pubmed/29761935
http://dx.doi.org/10.1002/em.22196
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