Literature DB >> 15070065

A theoretical approach to the role and critical issues associated with bystander effect in risk estimation.

Hooshang Nikjoo1, Igor K Khvostunov.   

Abstract

This paper presents a quantitative biophysical model of the radiation-induced bystander effect. The principle aim of the bystander model is to establish whether bystander signal can be associated with low molecular weight factors that are transmitted by diffusion type processes in the medium surrounding the recipient cells. Cell inactivation and induced oncogenic transformation by microbeam and broadbeam irradiation systems were considered. The biophysical model postulates that the oncogenic bystander response observed in non-hit cells originates from specific signals received from inactivated cells. The bystander signals are assumed to be protein-like molecules spreading in the culture media by Brownian motion. The bystander signals are assumed to switch cells into a state of cell death (apoptotic/mitotic/necrosis) or induced oncogenic transformation modes. The bystander cell survival observed after treatment with the irradiated conditioned medium using broadbeam and the microbeam irradiation modalities were analysed and interpreted in the framework of the Bystander Diffusion Model (BSDM). The model predictions for cell inactivation and induced oncogenic transformation frequencies agree well with observed data from microbeam and broadbeam experiments. In the case of irradiation with constant fraction of cells, transformation frequency for the bystander effect increases with increasing radiation dose. The BSDM predicts that the bystander effect cannot be interpreted solely as a low-dose effect phenomenon. It is shown that the bystander component of radiation response can increase with dose and can be observed at high doses as well as low doses. The validity of this conclusion is supported by analysis of experimental results from high-LET microbeam experiments.

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Year:  2004        PMID: 15070065     DOI: 10.1191/0960327104ht422oa

Source DB:  PubMed          Journal:  Hum Exp Toxicol        ISSN: 0960-3271            Impact factor:   2.903


  5 in total

1.  Tissue permittivity: a monitor for progressive tissue fibrosis as observed in bystander tissues following experimental high dose rate irradiation.

Authors:  Christina Skourou; P Jack Hoopes; Keith D Paulsen
Journal:  Cancer Biol Ther       Date:  2009-12-02       Impact factor: 4.742

2.  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

3.  Theoretical aspects and modelling of cellular decision making, cell killing and information-processing in photodynamic therapy of cancer.

Authors:  Ioannis Gkigkitzis
Journal:  BMC Med Genomics       Date:  2013-11-11       Impact factor: 3.063

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.  Cysteine protease cathepsin B mediates radiation-induced bystander effects.

Authors:  Yu Peng; Man Zhang; Lingjun Zheng; Qian Liang; Hanzeng Li; Jeng-Ting Chen; Hongyan Guo; Sawako Yoshina; Yu-Zen Chen; Xiang Zhao; Xiaoqi Wu; Bin Liu; Shohei Mitani; Jau-Song Yu; Ding Xue
Journal:  Nature       Date:  2017-07-19       Impact factor: 49.962

  5 in total

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