Literature DB >> 18088188

Biophysical models of radiation bystander effects: 1. Spatial effects in three-dimensional tissues.

Igor Shuryak1, Rainer K Sachs, David J Brenner.   

Abstract

Non-targeted (bystander) effects of ionizing radiation are caused by intercellular signaling; they include production of DNA damage and alterations in cell fate (i.e. apoptosis, differentiation, senescence or proliferation). Biophysical models capable of quantifying these effects may improve cancer risk estimation at radiation doses below the epidemiological detection threshold. Understanding the spatial patterns of bystander responses is important, because it provides estimates of how many bystander cells are affected per irradiated cell. In a first approach to modeling of bystander spatial effects in a three-dimensional artificial tissue, we assume the following: (1) The bystander phenomenon results from signaling molecules (S) that rapidly propagate from irradiated cells and decrease in concentration (exponentially in the case of planar symmetry) as distance increases. (2) These signals can convert cells to a long-lived epigenetically activated state, e.g. a state of oxidative stress; cells in this state are more prone to DNA damage and behavior alterations than normal and therefore exhibit an increased response (R) for many end points (e.g. apoptosis, differentiation, micronucleation). These assumptions are implemented by a mathematical formalism and computational algorithms. The model adequately describes data on bystander responses in the 3D system using a small number of adjustable parameters.

Entities:  

Mesh:

Year:  2007        PMID: 18088188     DOI: 10.1667/RR1117.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  17 in total

1.  Modeling cell response to low doses of photon irradiation: Part 2--application to radiation-induced chromosomal aberrations in human carcinoma cells.

Authors:  Micaela Cunha; Etienne Testa; Olga V Komova; Elena A Nasonova; Larisa A Mel'nikova; Nina L Shmakova; Michaël Beuve
Journal:  Radiat Environ Biophys       Date:  2015-12-26       Impact factor: 1.925

2.  Effect of site-specific bronchial radon progeny deposition on the spatial and temporal distributions of cellular responses.

Authors:  Arpád Farkas; Werner Hofmann; Imre Balásházy; István Szoke; Balázs G Madas; Mona Moustafa
Journal:  Radiat Environ Biophys       Date:  2011-02-15       Impact factor: 1.925

Review 3.  Radiation-Induced Bystander Response: Mechanism and Clinical Implications.

Authors:  Keiji Suzuki; Shunichi Yamashita
Journal:  Adv Wound Care (New Rochelle)       Date:  2014-01-01       Impact factor: 4.730

4.  Radiation-induced carcinogenesis: mechanistically based differences between gamma-rays and neutrons, and interactions with DMBA.

Authors:  Igor Shuryak; David J Brenner; Robert L Ullrich
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

Review 5.  REVIEW OF QUANTITATIVE MECHANISTIC MODELS OF RADIATION-INDUCED NON-TARGETED EFFECTS (NTE).

Authors:  Igor Shuryak; David J Brenner
Journal:  Radiat Prot Dosimetry       Date:  2020-12-30       Impact factor: 0.972

6.  A kinetic-based model of radiation-induced intercellular signalling.

Authors:  Stephen J McMahon; Karl T Butterworth; Colman Trainor; Conor K McGarry; Joe M O'Sullivan; Giuseppe Schettino; Alan R Hounsell; Kevin M Prise
Journal:  PLoS One       Date:  2013-01-22       Impact factor: 3.240

7.  Radiotherapy-induced malignancies: review of clinical features, pathobiology, and evolving approaches for mitigating risk.

Authors:  Steve Braunstein; Jean L Nakamura
Journal:  Front Oncol       Date:  2013-04-03       Impact factor: 6.244

8.  A simulation study of the radiation-induced bystander effect: modeling with stochastically defined signal reemission.

Authors:  Kohei Sasaki; Kosuke Wakui; Kaori Tsutsumi; Akio Itoh; Hiroyuki Date
Journal:  Comput Math Methods Med       Date:  2012-11-11       Impact factor: 2.238

9.  Cellular automaton-based model for radiation-induced bystander effects.

Authors:  Yuya Hattori; Akinari Yokoya; Ritsuko Watanabe
Journal:  BMC Syst Biol       Date:  2015-12-07

10.  Microdosimetric analysis confirms similar biological effectiveness of external exposure to gamma-rays and internal exposure to 137Cs, 134Cs, and 131I.

Authors:  Tatsuhiko Sato; Kentaro Manabe; Nobuyuki Hamada
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.