Literature DB >> 14579891

A review of the bystander effect and its implications for low-dose exposure.

K M Prise1, M Folkard, B D Michael.   

Abstract

Current models for the interaction between ionising radiation and living cells or tissues are based on direct genetic damage produced by energy deposition in cellular DNA. An important observation which has questioned this basic assumption is the radiation-induced bystander response, in which cells which have not been directly targeted respond if their neighbours have been exposed. This response predominates at low doses of relevance to radiation risk analysis (<0.2 Gy) and therefore needs to be fully characterised. The development of microbeams, which allow individual cells within populations to be targeted with precise doses of radiation, has provided a useful tool for quantifying this response. The authors' studies have targeted individual human and mouse cells with counted protons and helium ions and monitored neighbouring cells for the production of bystander responses. Bystander responses have been measured after exposures as low as a single proton or helium ion delivered to an individual cell. An important aspect is that these responses saturate with increasing dose to the single target cell, thus the relative roles of direct and indirect (non-targeted) responses change with dose. Studies with multicellular, tissue-based models are providing evidence that bystander responses may have a complex phenotype involving multiple pathways and the overall response may be a balance between multiple signalling processes and responses to radiation exposure. Current models for radiation risk assume a linear non-threshold response and have generally been extrapolated from high-dose exposures. The involvement of competing processes at low doses may have important consequences for understanding the effects of low-dose exposure.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14579891     DOI: 10.1093/oxfordjournals.rpd.a006198

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


  24 in total

1.  Microirradiation of cells with energetic heavy ions.

Authors:  A Hauptner; S Dietzel; G A Drexler; P Reichart; R Krücken; T Cremer; A A Friedl; G Dollinger
Journal:  Radiat Environ Biophys       Date:  2004-01-20       Impact factor: 1.925

2.  A stochastic markov model of cellular response to radiation.

Authors:  Krzysztof Wojciech Fornalski; Ludwik Dobrzyński; Marek Krzysztof Janiak
Journal:  Dose Response       Date:  2011-07-27       Impact factor: 2.658

Review 3.  Double-strand breaks and the concept of short- and long-term epigenetic memory.

Authors:  Christian Orlowski; Li-Jeen Mah; Raja S Vasireddy; Assam El-Osta; Tom C Karagiannis
Journal:  Chromosoma       Date:  2010-12-21       Impact factor: 4.316

4.  MCNP5 evaluation of dose dissipation in tissue-like media exposed to low-energy monoenergetic X-ray microbeam.

Authors:  Shaun D Clarke; Tatjana Jevremovic
Journal:  Radiat Environ Biophys       Date:  2005-10-28       Impact factor: 1.925

5.  Monte carlo simulations of dose from microCT imaging procedures in a realistic mouse phantom.

Authors:  Richard Taschereau; Patrick L Chow; Arion F Chatziioannou
Journal:  Med Phys       Date:  2006-01       Impact factor: 4.071

6.  Quantitative analysis of DNA-damage response factors after sequential ion microirradiation.

Authors:  Christoph Greubel; Volker Hable; Guido A Drexler; Andreas Hauptner; Steffen Dietzel; Hilmar Strickfaden; Iris Baur; Reiner Krücken; Thomas Cremer; Anna A Friedl; Günther Dollinger
Journal:  Radiat Environ Biophys       Date:  2008-07-23       Impact factor: 1.925

7.  Radiation-induced bystander effects: evidence for an adaptive response to low dose exposures?

Authors:  Carmel Mothersill; Colin Seymour
Journal:  Dose Response       Date:  2006-08-25       Impact factor: 2.658

Review 8.  Assessing cancer risks of low-dose radiation.

Authors:  Leon Mullenders; Mike Atkinson; Herwig Paretzke; Laure Sabatier; Simon Bouffler
Journal:  Nat Rev Cancer       Date:  2009-08       Impact factor: 60.716

9.  An evaluation of novel real-time technology as a tool for measurement of radiobiological and radiation-induced bystander effects.

Authors:  Mohammad Johari Ibahim; Jeffrey C Crosbie; Premila Paiva; Yuqing Yang; Marina Zaitseva; Peter A W Rogers
Journal:  Radiat Environ Biophys       Date:  2016-03-19       Impact factor: 1.925

10.  Uncomfortable issues in radiation protection posed by low-dose radiobiology.

Authors:  Carmel Mothersill; Colin Seymour
Journal:  Radiat Environ Biophys       Date:  2013-05-15       Impact factor: 1.925

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.