Literature DB >> 19267559

Triggering-response model for radiation-induced bystander effects.

Hatim Fakir1, Werner Hofmann, Wai Y Tan, Rainer K Sachs.   

Abstract

We propose a mechanistic model for radiation cell killing and carcinogenesis-related end points that combines direct and bystander responses. The model describes the bystander component as a sequence of two distinct processes: triggering of signal emission from irradiated cells and response of nonirradiated recipient cells; in principle it can incorporate microdosimetric information as well as the random aspects of signal triggering and recipient response. Late effects are modeled using a one-stage model based on the concepts of inactivation and initiation, which allows for the proliferation of normal and initiated cells; proliferation of initiated cells is analyzed using a stochastic, birth-death approach. The model emphasizes the dependence of bystander effects on dose, which is important for the assessment of low-dose cancer induction by extrapolations of risk from high-dose exposures. The results obtained show adequate agreement with different in vitro bystander experiments involving ultrasoft X rays and alpha particles and correctly reflect the main features observed for several end points. Our results suggest signal transmission through the medium rather than gap junctions. We suggest that for many such experiments, a moderate increase in medium volume should have about the same effect as a moderate decrease in the fraction of irradiated cells.

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Year:  2009        PMID: 19267559     DOI: 10.1667/RR1293.1

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


  8 in total

1.  Deposition of radon progeny on skin surfaces and resulting radiation doses in radon therapy.

Authors:  H Tempfer; W Hofmann; A Schober; H Lettner; A L Dinu
Journal:  Radiat Environ Biophys       Date:  2010-03-17       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.  Internal microdosimetry of alpha-emitting radionuclides.

Authors:  Werner Hofmann; Wei Bo Li; Werner Friedland; Brian W Miller; Balázs Madas; Manuel Bardiès; Imre Balásházy
Journal:  Radiat Environ Biophys       Date:  2019-12-21       Impact factor: 1.925

4.  Model assembly for estimating cell surviving fraction for both targeted and nontargeted effects based on microdosimetric probability densities.

Authors:  Tatsuhiko Sato; Nobuyuki Hamada
Journal:  PLoS One       Date:  2014-11-26       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.  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

8.  Quantitative modeling of carcinogenesis induced by single beams or mixtures of space radiations using targeted and non-targeted effects.

Authors:  Igor Shuryak; Rainer K Sachs; David J Brenner
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

  8 in total

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