Literature DB >> 16579659

Microdosimetric model for the induction of cell killing through medium-borne signals.

R D Stewart1, R K Ratnayake, K Jennings.   

Abstract

Microbeam, medium-transfer and low-dose experiments have demonstrated that intercellular signals can initiate many of the same biological events and processes as direct exposure to ionizing radiation. These phenomena cast doubt on cell-autonomous modes of action and the linear, no-threshold carcinogenesis paradigm. To account for the effects of intercellular signals, new approaches are needed to relate dosimetric quantities to the emission and processing of signals by irradiated and unirradiated cells. In this paper, microdosimetric principles are used to develop a stochastic model to relate absorbed dose to the emission and processing of cell death signals by unirradiated cells. Our analyses of published results of medium transfer experiments performed using HPV-G human keratinocytes suggest that the emission of death signals is a bi-exponential function of dose with a distinct plateau in the 5- to 100-mGy range. However, the emission of death signals by HPV-G cells may not become fully saturated until the absorbed dose becomes larger than 0.6 Gy. Similar saturation effects have been observed in microbeam and medium-transfer experiments with other mammalian cell lines. The model predicts that the cell-killing effect of medium-borne death signals decreases exponentially as the absorbed dose becomes small compared to the frequency-mean specific energy per radiation event.

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Year:  2006        PMID: 16579659     DOI: 10.1667/rr3520.1

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


  8 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.  Computational modeling of cellular effects post-irradiation with low- and high-let particles and different absorbed doses.

Authors:  Adriana Alexandre S Tavares; João Manuel R S Tavares
Journal:  Dose Response       Date:  2012-03-19       Impact factor: 2.658

3.  A model for the induction of chromosome aberrations through direct and bystander mechanisms.

Authors:  H Schöllnberger; R E J Mitchel; D J Crawford-Brown; W Hofmann
Journal:  Radiat Prot Dosimetry       Date:  2006-12-13       Impact factor: 0.972

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.  Integrated Modelling of Cell Responses after Irradiation for DNA-Targeted Effects and Non-Targeted Effects.

Authors:  Yusuke Matsuya; Kohei Sasaki; Yuji Yoshii; Go Okuyama; Hiroyuki Date
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

  8 in total

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