Literature DB >> 22461758

A stochastic markov model of cellular response to radiation.

Krzysztof Wojciech Fornalski1, Ludwik Dobrzyński, Marek Krzysztof Janiak.   

Abstract

A stochastic model based on the Markov Chain Monte Carlo process is used to describe responses to ionizing radiation in a group of cells. The results show that where multiple relationships linearly depending on the dose are introduced, the overall reaction shows a threshold, and, generally, a non-linear response. Such phenomena have been observed and reported in a number of papers. The present model permits the inclusion of adaptive responses and bystander effects that can lead to hormetic effects. In addition, the model allows for incorporating various time-dependent phenomena. Essentially, all known biological effects can be reproduced using the proposed model.

Keywords:  Markov process; Monte Carlo; dose response model; hormesis; low-level radiation; radiation threshold

Year:  2011        PMID: 22461758      PMCID: PMC3315169          DOI: 10.2203/dose-response.11-003.Fornalski

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  30 in total

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Authors:  K M Prise; M Folkard; B D Michael
Journal:  Radiat Prot Dosimetry       Date:  2003       Impact factor: 0.972

Review 2.  Physics must join with biology in better assessing risk from low-dose irradiation.

Authors:  L E Feinendegen; R D Neumann
Journal:  Radiat Prot Dosimetry       Date:  2005-10-21       Impact factor: 0.972

3.  A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation.

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Journal:  Radiat Environ Biophys       Date:  2009-06-05       Impact factor: 1.925

4.  A review: Development of a microdose model for analysis of adaptive response and bystander dose response behavior.

Authors:  Bobby E Leonard
Journal:  Dose Response       Date:  2008-02-27       Impact factor: 2.658

5.  Suppressive effect of low dose total body irradiation on lung metastasis: dose dependency and effective period.

Authors:  Y Hosoi; K Sakamoto
Journal:  Radiother Oncol       Date:  1993-02       Impact factor: 6.280

6.  Influence of gamma irradiation on the development of neoplastic disease in mice. III. Dose-rate effects.

Authors:  R L Ullrich; J B Storer
Journal:  Radiat Res       Date:  1979-11       Impact factor: 2.841

7.  Low-dose cancer risk modeling must recognize up-regulation of protection.

Authors:  Ludwig E Feinendegen; Myron Pollycove; Ronald D Neumann
Journal:  Dose Response       Date:  2009-12-10       Impact factor: 2.658

8.  Low doses of radiation increase the latency of spontaneous lymphomas and spinal osteosarcomas in cancer-prone, radiation-sensitive Trp53 heterozygous mice.

Authors:  R E J Mitchel; J S Jackson; D P Morrison; S M Carlisle
Journal:  Radiat Res       Date:  2003-03       Impact factor: 2.841

9.  Development of an in vivo assay for detection of non-targeted radiation effects.

Authors:  Colin Seymour; Carmel Mothersill
Journal:  Dose Response       Date:  2006-12-06       Impact factor: 2.658

10.  Mortality from breast cancer after irradiation during fluoroscopic examinations in patients being treated for tuberculosis.

Authors:  A B Miller; G R Howe; G J Sherman; J P Lindsay; M J Yaffe; P J Dinner; H A Risch; D L Preston
Journal:  N Engl J Med       Date:  1989-11-09       Impact factor: 91.245

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  3 in total

1.  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

2.  Dynamics of cellular responses to radiation.

Authors:  Dominik Wodarz; Ron Sorace; Natalia L Komarova
Journal:  PLoS Comput Biol       Date:  2014-04-10       Impact factor: 4.475

3.  Atomic Bomb Survivors Life-Span Study: Insufficient Statistical Power to Select Radiation Carcinogenesis Model.

Authors:  Yehoshua Socol; Ludwik Dobrzyński
Journal:  Dose Response       Date:  2015-05-04       Impact factor: 2.658

  3 in total

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