Literature DB >> 17142819

Modelling radiation-induced bystander effect and cellular communication.

F Ballarini1, D Alloni, A Facoetti, A Mairani, R Nano, A Ottolenghi.   

Abstract

In the last 10 years evidence has accumulated on the so-called radiation-induced 'non-targeted effects' and in particular on bystander effects, consisting of damage induction in non-irradiated cells most likely following the release of soluble factors by the irradiated ones. These phenomena were observed for different biological endpoints, both lethal and non-lethal for the cell. Although the underlying mechanisms are largely unknown, it is now widely recognised that two types of cellular communication (i.e. via gap junctions and/or release of molecular messengers into the extracellular environment) play a pivotal role. Furthermore, the effects can be significantly modulated by parameters such as cell type and cell-cycle stage, cell density, time after irradiation etc. Theoretical models and simulation codes can be of help to improve our knowledge of the mechanisms, as well as to investigate the possible role of these effects in determining deviations from the linear relationship between dose and risk which is generally applied in radiation protection. In this paper three models, including an approach under development at the University of Pavia, will be presented in detail. The focus will be on the various adopted assumptions, together with their implications in terms of non-targeted radiobiological damage and, more generally, low-dose radiation risk. Comparisons with experimental data will also be discussed.

Mesh:

Year:  2006        PMID: 17142819     DOI: 10.1093/rpd/ncl446

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  6 in total

1.  Nanoparticles can cause DNA damage across a cellular barrier.

Authors:  Gevdeep Bhabra; Aman Sood; Brenton Fisher; Laura Cartwright; Margaret Saunders; William Howard Evans; Annmarie Surprenant; Gloria Lopez-Castejon; Stephen Mann; Sean A Davis; Lauren A Hails; Eileen Ingham; Paul Verkade; Jon Lane; Kate Heesom; Roger Newson; Charles Patrick Case
Journal:  Nat Nanotechnol       Date:  2009-12       Impact factor: 39.213

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

3.  A reaction-diffusion model for radiation-induced bystander effects.

Authors:  Oluwole Olobatuyi; Gerda de Vries; Thomas Hillen
Journal:  J Math Biol       Date:  2016-12-29       Impact factor: 2.259

Review 4.  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

5.  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

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

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

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