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Biomarkers to Predict Lethal Radiation Injury to the Rat Lung

Currently, there are no biomarkers to predict lethal lung injury by radiation. Since it is not ethical to irradiate humans, animal models must be used to identify biomarkers. Injury to the female WAG/RijCmcr rat has been well-characterized after exposure to eight doses of whole thorax irradiation: 0...

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Autores principales: Medhora, Meetha, Gao, Feng, Gasperetti, Tracy, Narayanan, Jayashree, Himburg, Heather, Jacobs, Elizabeth R., Clough, Anne V., Fish, Brian L., Szabo, Aniko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053311/
https://www.ncbi.nlm.nih.gov/pubmed/36982722
http://dx.doi.org/10.3390/ijms24065627
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author Medhora, Meetha
Gao, Feng
Gasperetti, Tracy
Narayanan, Jayashree
Himburg, Heather
Jacobs, Elizabeth R.
Clough, Anne V.
Fish, Brian L.
Szabo, Aniko
author_facet Medhora, Meetha
Gao, Feng
Gasperetti, Tracy
Narayanan, Jayashree
Himburg, Heather
Jacobs, Elizabeth R.
Clough, Anne V.
Fish, Brian L.
Szabo, Aniko
author_sort Medhora, Meetha
collection PubMed
description Currently, there are no biomarkers to predict lethal lung injury by radiation. Since it is not ethical to irradiate humans, animal models must be used to identify biomarkers. Injury to the female WAG/RijCmcr rat has been well-characterized after exposure to eight doses of whole thorax irradiation: 0-, 5-, 10-, 11-, 12-, 13-, 14- and 15-Gy. End points such as SPECT imaging of the lung using molecular probes, measurement of circulating blood cells and specific miRNA have been shown to change after radiation. Our goal was to use these changes to predict lethal lung injury in the rat model, 2 weeks post-irradiation, before any symptoms manifest and after which a countermeasure can be given to enhance survival. SPECT imaging with (99m)Tc-MAA identified a decrease in perfusion in the lung after irradiation. A decrease in circulating white blood cells and an increase in five specific miRNAs in whole blood were also tested. Univariate analyses were then conducted on the combined dataset. The results indicated that a combination of percent change in lymphocytes and monocytes, as well as pulmonary perfusion volume could predict survival from radiation to the lungs with 88.5% accuracy (95% confidence intervals of 77.8, 95.3) with a p-value of < 0.0001 versus no information rate. This study is one of the first to report a set of minimally invasive endpoints to predict lethal radiation injury in female rats. Lung-specific injury can be visualized by (99m)Tc-MAA as early as 2 weeks after radiation.
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spelling pubmed-100533112023-03-30 Biomarkers to Predict Lethal Radiation Injury to the Rat Lung Medhora, Meetha Gao, Feng Gasperetti, Tracy Narayanan, Jayashree Himburg, Heather Jacobs, Elizabeth R. Clough, Anne V. Fish, Brian L. Szabo, Aniko Int J Mol Sci Article Currently, there are no biomarkers to predict lethal lung injury by radiation. Since it is not ethical to irradiate humans, animal models must be used to identify biomarkers. Injury to the female WAG/RijCmcr rat has been well-characterized after exposure to eight doses of whole thorax irradiation: 0-, 5-, 10-, 11-, 12-, 13-, 14- and 15-Gy. End points such as SPECT imaging of the lung using molecular probes, measurement of circulating blood cells and specific miRNA have been shown to change after radiation. Our goal was to use these changes to predict lethal lung injury in the rat model, 2 weeks post-irradiation, before any symptoms manifest and after which a countermeasure can be given to enhance survival. SPECT imaging with (99m)Tc-MAA identified a decrease in perfusion in the lung after irradiation. A decrease in circulating white blood cells and an increase in five specific miRNAs in whole blood were also tested. Univariate analyses were then conducted on the combined dataset. The results indicated that a combination of percent change in lymphocytes and monocytes, as well as pulmonary perfusion volume could predict survival from radiation to the lungs with 88.5% accuracy (95% confidence intervals of 77.8, 95.3) with a p-value of < 0.0001 versus no information rate. This study is one of the first to report a set of minimally invasive endpoints to predict lethal radiation injury in female rats. Lung-specific injury can be visualized by (99m)Tc-MAA as early as 2 weeks after radiation. MDPI 2023-03-15 /pmc/articles/PMC10053311/ /pubmed/36982722 http://dx.doi.org/10.3390/ijms24065627 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Medhora, Meetha
Gao, Feng
Gasperetti, Tracy
Narayanan, Jayashree
Himburg, Heather
Jacobs, Elizabeth R.
Clough, Anne V.
Fish, Brian L.
Szabo, Aniko
Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title_full Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title_fullStr Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title_full_unstemmed Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title_short Biomarkers to Predict Lethal Radiation Injury to the Rat Lung
title_sort biomarkers to predict lethal radiation injury to the rat lung
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053311/
https://www.ncbi.nlm.nih.gov/pubmed/36982722
http://dx.doi.org/10.3390/ijms24065627
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