The space radiation environment is a mixed field consisting of different particles having different energies, including high charge and energy (HZE) ions. Conventional measurements of absorbed doses may not be sufficient to completely characterise the radiation field and perform reliable estimates of health risks. Biological dosimetry, based on the observation of specific radiation-induced endpoints (typically chromosome aberrations), can be a helpful approach in case of monitored exposure to space radiation or other mixed fields, as well as in case of accidental exposure. Furthermore, various ratios of aberrations (e.g. dicentric chromosomes to centric rings and complex exchanges to simple exchanges) have been suggested as possible fingerprints of radiation quality, although all of them have been subjected to some criticisms. In this context a mechanistic model and a Monte Carlo code for the simulation of chromosome aberration induction were developed. The model, able to provide doseresponses for different aberrations (e.g. dicentrics, rings, fragments, mu&cations, insertions and other complex exchanges), was further developed to assess the dependence of various ratios of aberrations on radiation quality. The predictions of the model were compared with available data, whose experimental conditions were faithfully reproduced. Particular attention was devoted to the scoring criteria adopted in different laboratories and to possible biases introduced by interphase death and mitotic delay. This latter aspect was investigated by taking into account both metaphase data and data obtained with Premature Chromosome Condensation (PCC).

Chromosome aberrations as biomarkers of radiation exposure: modelling basic mechanisms.

BALLARINI, FRANCESCA;OTTOLENGHI, ANDREA DAVIDE
2003-01-01

Abstract

The space radiation environment is a mixed field consisting of different particles having different energies, including high charge and energy (HZE) ions. Conventional measurements of absorbed doses may not be sufficient to completely characterise the radiation field and perform reliable estimates of health risks. Biological dosimetry, based on the observation of specific radiation-induced endpoints (typically chromosome aberrations), can be a helpful approach in case of monitored exposure to space radiation or other mixed fields, as well as in case of accidental exposure. Furthermore, various ratios of aberrations (e.g. dicentric chromosomes to centric rings and complex exchanges to simple exchanges) have been suggested as possible fingerprints of radiation quality, although all of them have been subjected to some criticisms. In this context a mechanistic model and a Monte Carlo code for the simulation of chromosome aberration induction were developed. The model, able to provide doseresponses for different aberrations (e.g. dicentrics, rings, fragments, mu&cations, insertions and other complex exchanges), was further developed to assess the dependence of various ratios of aberrations on radiation quality. The predictions of the model were compared with available data, whose experimental conditions were faithfully reproduced. Particular attention was devoted to the scoring criteria adopted in different laboratories and to possible biases introduced by interphase death and mitotic delay. This latter aspect was investigated by taking into account both metaphase data and data obtained with Premature Chromosome Condensation (PCC).
2003
Biochemistry & Biophysics focuses on the structure and chemistry of biomolecules and covers all aspects of basic biochemistry/biophysics, including molecular structure, enzyme kinetics and protein-protein interaction; this category also contains cross-disciplinary resources focused on a specific class of biological molecules, e.g., nucleic acids, steroids, magnesium, growth factors, free radicals, bio-membranes, and peptides. Excluded are resources dealing with the application of biochemical techniques to specific topics listed elsewhere in CC/LS. Resources with a strong emphasis on the integration of biochemical pathways (such as signal transduction or molecular motors) at the cellular level are placed in the Cell & Developmental Biology category.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
31
1557
1568
IONIZING RADIATION; CHROMOSOME ABERRATIONS; BIOMARKERS; SPACE RADIATION; MONTE CARLO SIMULATIONS; MECHANISTIC MODELS
2
info:eu-repo/semantics/article
262
Ballarini, Francesca; Ottolenghi, ANDREA DAVIDE
1 Contributo su Rivista::1.1 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/100372
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