Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783348671251742720 |
---|---|
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 |
format | Online Article Text |
id | pubmed-6099464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT qutobsamis theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT chauhanvinita theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT kuobyron theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT williamsandrew theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT yaukcarolel theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT mcnameejamesp theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT gollapudib theapplicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT qutobsamis applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT chauhanvinita applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT kuobyron applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT williamsandrew applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT yaukcarolel applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT mcnameejamesp applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure AT gollapudib applicationoftranscriptionalbenchmarkdosemodelingforderivingthresholdsofeffectsassociatedwithsolarsimulatedultravioletradiationexposure |