Production and distribution of aberrations in resting or cycling human lymphocytes following Fe-ion or Cr-ion irradiation: Emphasis on single track effects

Deperas‐Standylo, Joanna; Lee, Ryonfa; Nasonova, Elena; Ritter, S.; Gudowska–Nowak, Ewa

doi:10.1016/j.asr.2012.05.007

Cited by 8 publications

(8 citation statements)

References 51 publications

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“…In contrast, after exposure to particles with higher LET values, the aberration frequency elevates markedly with time, i.e. cells passaged by many particles are found to reach mitosis later than those with a lower number of hits or unhit cells [11,[24][25][26][27]. The significant differences in aberration yields observed at earlier and later culture times (cf.…”

Section: Impact Of Aberration Burden On Progression Of Cells In Mitosismentioning

confidence: 49%

“…Chromosome spreads have been prepared and stained with Fluorescence-plus-Giemsa (FPG) technique to distinguish between metaphases in first, second and third post-irradiation cycles [8,9]. All aberration types detectable with the staining method have been scored, including chromatid-type aberrations (for further discussion, see [10,11]). Througout the paper we use experimental data sets published in reference [9].…”

Section: Methodsmentioning

confidence: 99%

“…As a consequence, the formula equation (1) can be rewritten in the form representative for the Neyman-type A statistics [11,[17][18][19]]…”

Section: Statistical Analysis: Number Of Aberrations Induced By Multimentioning

confidence: 99%

“…Therefore, in order to analyze how irradiated cells differ in their capabililty to divide, fluxes of aberrant and non-aberrant cells should be examined in the growing population with respect to an initial number of cells [10,[27][28][29][30]. By using multiple-sampling technique [31] and a mathematical folding of the data obtained at different time-intervals the integrated fluxes of aberrant cells and aberrations detected in mitosis can be analyzed [9][10][11] and the loss of heavily damaged cells from irradiated cell populations can be properly estimated.…”

Section: Impact Of Aberration Burden On Progression Of Cells In Mitosismentioning

confidence: 99%

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Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure

2014

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Abstract. Cytogenetic data accumulated from the experiments with peripheral blood lymphocytes exposed to densely ionizing radiation clearly demonstrate that for particles with linear energy transfer (LET) >100 keV/μm the derived relative biological effectiveness (RBE) will strongly depend on the time point chosen for the analysis. A reasonable prediction of radiation-induced chromosome damage and its distribution among cells can be achieved by exploiting Monte Carlo methodology along with the information about the radius of the penetrating ion-track and the LET of the ion beam. In order to examine the relationship between the track structure and the distribution of aberrations induced in human lymphocytes and to clarify the correlation between delays in the cell cycle progression and the aberration burden visible at the first post-irradiation mitosis, we have analyzed chromosome aberrations in lymphocytes exposed to Fe-ions with LET values of 335 keV/μm and formulated a Monte Carlo model which reflects time-delay in mitosis of aberrant cells. Within the model the frequency distributions of aberrations among cells follow the pattern of local energy distribution and are well approximated by a time-dependent compound Poisson statistics. The cell-division cycle of undamaged and aberrant cells and chromosome aberrations are modelled as a renewal process represented by a random sum of (independent and identically distributed) random elements SN = N i=0 Xi. Here N stands for the number of particle traversals of cell nucleus, each leading to a statistically independent formation of Xi aberrations. The parameter N is itself a random variable and reflects the cell cycle delay of heavily damaged cells. The probability distribution of SN follows a general law for which the moment generating function satisfies the relation ΦS N = ΦN (ΦX i ). Formulation of the Monte Carlo model which allows to predict expected fluxes of aberrant and non-aberrant cells has been based on several input information: (i) experimentally measured mitotic index in the population of irradiated cells; (ii) scored fraction of cells in first cell cycle; (iii) estimated average number of particle traversals per cell nucleus. By reconstructing the local dose distribution in the biological target, the relevant amount of lesions induced by ions is estimated from the biological effect induced by photons at the same dose level. Moreover, the total amount of aberrations induced within the entire population has been determined. For each subgroup of intact (non-hit) and aberrant cells the cell-division cycle has been analyzed reproducing correctly an expected correlation between mitotic delay and the number of aberrations carried by a cell. This observation is of particular importance for the proper estimation of the biological efficiency of ions and for the estimation of health risks associated with radiation exposure.

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Section: Impact Of Aberration Burden On Progression Of Cells In Mitosismentioning

confidence: 49%

Section: Methodsmentioning

confidence: 99%

“…As a consequence, the formula equation (1) can be rewritten in the form representative for the Neyman-type A statistics [11,[17][18][19]]…”

Section: Statistical Analysis: Number Of Aberrations Induced By Multimentioning

confidence: 99%

Section: Impact Of Aberration Burden On Progression Of Cells In Mitosismentioning

confidence: 99%

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Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure

2014

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“…The effect of the overlapping ion tracks might be observed in experiments which are able to detect the initial DNA damage, for instance in the premature chromosome condensation (PCC) [33] performed immediately after irradiation. As shown here, there are still open questions with regard of those processes at the microscopic scale and of their interplay with physical and chemical effects, which is of crucial importance for predictive power of the models.…”

Section: Discussionmentioning

confidence: 99%

Radiation dose–response curves: cell repair mechanisms vs. ion track overlapping

et al. 2017

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Abstract. Chromosome aberrations in human lymphocytes exposed to different doses of particle radiation: 150 MeV and spread out Bragg peak proton beams, 22 MeV/u boron beam and 199 V/u carbon beam were studied. For comparison, an experiment with 60 Co γ-rays was also performed. We investigated distributions of aberration frequency and the shape of dose-response curves for the total aberration yield as well as for exchange and non-exchange aberrations, separately. Applying the linear-quadratic model, we could derive a relation between the fitted parameters and the ion track radius which could explain experimentally observed curvature of the dose-response curves. The results compared with physical expectations clearly show that the biological effects of cell repair are much more important than the ion track overlapping.

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Production and distribution of chromosome aberrations in human lymphocytes by particle beams with different LET

Kowalska

Nasonova

Czerski

et al. 2019

Radiat Environ Biophys

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We investigated induction of chromosome aberrations (CA) in human lymphocytes when exposed to 150 MeV and spread out Bragg peak (SOBP) proton beams, and 199 MeV/u carbon beam which are currently widely used for cancer treatment and simultaneously are important components of cosmic radiation. For a comparison, the boron ions of much lower energy 22 MeV/u and a 60 Co γ rays were used. Dose–effect curves as well as the distributions of CA were studied using Poisson and Neyman type A statistics. Systematics of experimentally determined parameters, their dependence on applied doses and irradiation quality are presented.

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Production and distribution of aberrations in resting or cycling human lymphocytes following Fe-ion or Cr-ion irradiation: Emphasis on single track effects

Cited by 8 publications

References 51 publications

Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure

Stochastic modelling for biodosimetry: Predicting the chromosomal response to radiation at different time points after exposure

Radiation dose–response curves: cell repair mechanisms vs. ion track overlapping

Production and distribution of chromosome aberrations in human lymphocytes by particle beams with different LET

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