Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons

Abstract Cognitive dysfunction associated with radiotherapy for cancer treatment has been correlated to several factors, one of which is changes to the dendritic morphology of neuronal cells. Alterations in dendritic geometry and branching patterns are often accompanied by deficits that impact learn...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Eliedonna Cacao, Vipan K. Parihar, Charles L. Limoli, Francis A. Cucinotta
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
R
Q
Acceso en línea:https://doaj.org/article/1e5927eecc6040f9be7efab00ddbac2a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:1e5927eecc6040f9be7efab00ddbac2a
record_format dspace
spelling oai:doaj.org-article:1e5927eecc6040f9be7efab00ddbac2a2021-12-02T15:08:25ZStochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons10.1038/s41598-018-23855-92045-2322https://doaj.org/article/1e5927eecc6040f9be7efab00ddbac2a2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-23855-9https://doaj.org/toc/2045-2322Abstract Cognitive dysfunction associated with radiotherapy for cancer treatment has been correlated to several factors, one of which is changes to the dendritic morphology of neuronal cells. Alterations in dendritic geometry and branching patterns are often accompanied by deficits that impact learning and memory. The purpose of this study is to develop a novel predictive model of neuronal dendritic damages caused by exposure to low linear energy transfer (LET) radiation, such as X-rays, γ-rays and high-energy protons. We established in silico representations of mouse hippocampal dentate granule cell layer (GCL) and CA1 pyramidal neurons, which are frequently examined in radiation-induced cognitive decrements. The in silico representations are used in a stochastic model that describes time dependent dendritic damage induced by exposure to low LET radiation. Changes in morphometric parameters, such as total dendritic length, number of branch points and branch number, including the Sholl analysis for single neurons are described by the model. Our model based predictions for different patterns of morphological changes based on energy deposition in dendritic segments (EDDS) will serve as a useful basis to compare specific patterns of morphological alterations caused by EDDS mechanisms.Eliedonna CacaoVipan K. PariharCharles L. LimoliFrancis A. CucinottaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Eliedonna Cacao
Vipan K. Parihar
Charles L. Limoli
Francis A. Cucinotta
Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
description Abstract Cognitive dysfunction associated with radiotherapy for cancer treatment has been correlated to several factors, one of which is changes to the dendritic morphology of neuronal cells. Alterations in dendritic geometry and branching patterns are often accompanied by deficits that impact learning and memory. The purpose of this study is to develop a novel predictive model of neuronal dendritic damages caused by exposure to low linear energy transfer (LET) radiation, such as X-rays, γ-rays and high-energy protons. We established in silico representations of mouse hippocampal dentate granule cell layer (GCL) and CA1 pyramidal neurons, which are frequently examined in radiation-induced cognitive decrements. The in silico representations are used in a stochastic model that describes time dependent dendritic damage induced by exposure to low LET radiation. Changes in morphometric parameters, such as total dendritic length, number of branch points and branch number, including the Sholl analysis for single neurons are described by the model. Our model based predictions for different patterns of morphological changes based on energy deposition in dendritic segments (EDDS) will serve as a useful basis to compare specific patterns of morphological alterations caused by EDDS mechanisms.
format article
author Eliedonna Cacao
Vipan K. Parihar
Charles L. Limoli
Francis A. Cucinotta
author_facet Eliedonna Cacao
Vipan K. Parihar
Charles L. Limoli
Francis A. Cucinotta
author_sort Eliedonna Cacao
title Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
title_short Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
title_full Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
title_fullStr Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
title_full_unstemmed Stochastic Modeling of Radiation-induced Dendritic Damage on in silico Mouse Hippocampal Neurons
title_sort stochastic modeling of radiation-induced dendritic damage on in silico mouse hippocampal neurons
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/1e5927eecc6040f9be7efab00ddbac2a
work_keys_str_mv AT eliedonnacacao stochasticmodelingofradiationinduceddendriticdamageoninsilicomousehippocampalneurons
AT vipankparihar stochasticmodelingofradiationinduceddendriticdamageoninsilicomousehippocampalneurons
AT charlesllimoli stochasticmodelingofradiationinduceddendriticdamageoninsilicomousehippocampalneurons
AT francisacucinotta stochasticmodelingofradiationinduceddendriticdamageoninsilicomousehippocampalneurons
_version_ 1718388108706185216