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A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis
Biodosimetry-based individualized reconstruction of complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related incidents. We used a high-throughput micronucleus assay with automated scanning and imagin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031285/ https://www.ncbi.nlm.nih.gov/pubmed/32076014 http://dx.doi.org/10.1038/s41598-020-59695-9 |
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author | Shuryak, Igor Turner, Helen C. Perrier, Jay R. Cunha, Lydia Canadell, Monica Pujol Durrani, Mohammad H. Harken, Andrew Bertucci, Antonella Taveras, Maria Garty, Guy Brenner, David J. |
author_facet | Shuryak, Igor Turner, Helen C. Perrier, Jay R. Cunha, Lydia Canadell, Monica Pujol Durrani, Mohammad H. Harken, Andrew Bertucci, Antonella Taveras, Maria Garty, Guy Brenner, David J. |
author_sort | Shuryak, Igor |
collection | PubMed |
description | Biodosimetry-based individualized reconstruction of complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related incidents. We used a high-throughput micronucleus assay with automated scanning and imaging software on ex-vivo irradiated human lymphocytes to: a) reconstruct partial-body and/or neutron exposure, and b) estimate separately the photon and neutron doses in a mixed exposure. The mechanistic background is that, compared with total-body photon irradiations, neutrons produce more heavily-damaged lymphocytes with multiple micronuclei/binucleated cell, whereas partial-body exposures produce fewer such lymphocytes. To utilize these differences for biodosimetry, we developed metrics that describe micronuclei distributions in binucleated cells and serve as predictors in machine learning or parametric analyses of the following scenarios: (A) Homogeneous gamma-irradiation, mimicking total-body exposures, vs. mixtures of irradiated blood with unirradiated blood, mimicking partial-body exposures. (B) X rays vs. various neutron + photon mixtures. The results showed high accuracies of scenario and dose reconstructions. Specifically, receiver operating characteristic curve areas (AUC) for sample classification by exposure type reached 0.931 and 0.916 in scenarios A and B, respectively. R(2) for actual vs. reconstructed doses in these scenarios reached 0.87 and 0.77, respectively. These encouraging findings demonstrate a proof-of-principle for the proposed approach of high-throughput reconstruction of clinically-relevant complex radiation exposure scenarios. |
format | Online Article Text |
id | pubmed-7031285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70312852020-02-27 A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis Shuryak, Igor Turner, Helen C. Perrier, Jay R. Cunha, Lydia Canadell, Monica Pujol Durrani, Mohammad H. Harken, Andrew Bertucci, Antonella Taveras, Maria Garty, Guy Brenner, David J. Sci Rep Article Biodosimetry-based individualized reconstruction of complex irradiation scenarios (partial-body shielding and/or neutron + photon mixtures) can improve treatment decisions after mass-casualty radiation-related incidents. We used a high-throughput micronucleus assay with automated scanning and imaging software on ex-vivo irradiated human lymphocytes to: a) reconstruct partial-body and/or neutron exposure, and b) estimate separately the photon and neutron doses in a mixed exposure. The mechanistic background is that, compared with total-body photon irradiations, neutrons produce more heavily-damaged lymphocytes with multiple micronuclei/binucleated cell, whereas partial-body exposures produce fewer such lymphocytes. To utilize these differences for biodosimetry, we developed metrics that describe micronuclei distributions in binucleated cells and serve as predictors in machine learning or parametric analyses of the following scenarios: (A) Homogeneous gamma-irradiation, mimicking total-body exposures, vs. mixtures of irradiated blood with unirradiated blood, mimicking partial-body exposures. (B) X rays vs. various neutron + photon mixtures. The results showed high accuracies of scenario and dose reconstructions. Specifically, receiver operating characteristic curve areas (AUC) for sample classification by exposure type reached 0.931 and 0.916 in scenarios A and B, respectively. R(2) for actual vs. reconstructed doses in these scenarios reached 0.87 and 0.77, respectively. These encouraging findings demonstrate a proof-of-principle for the proposed approach of high-throughput reconstruction of clinically-relevant complex radiation exposure scenarios. Nature Publishing Group UK 2020-02-19 /pmc/articles/PMC7031285/ /pubmed/32076014 http://dx.doi.org/10.1038/s41598-020-59695-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shuryak, Igor Turner, Helen C. Perrier, Jay R. Cunha, Lydia Canadell, Monica Pujol Durrani, Mohammad H. Harken, Andrew Bertucci, Antonella Taveras, Maria Garty, Guy Brenner, David J. A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title | A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title_full | A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title_fullStr | A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title_full_unstemmed | A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title_short | A High Throughput Approach to Reconstruct Partial-Body and Neutron Radiation Exposures on an Individual Basis |
title_sort | high throughput approach to reconstruct partial-body and neutron radiation exposures on an individual basis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031285/ https://www.ncbi.nlm.nih.gov/pubmed/32076014 http://dx.doi.org/10.1038/s41598-020-59695-9 |
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