Track structure Monte Carlo simulations are a useful tool to investigate the damage induced to DNA by ionizing radiation. These simulations usually rely on simplified geometrical representations of the DNA subcomponents. DNA damage is determined by the physical and physicochemical processes occurring within these volumes. In particular, damage to the DNA backbone is generally assumed to result in strand breaks. DNA damage can be categorized as direct (ionization of an atom part of the DNA molecule) or indirect (damage from reactive chemical species following water radiolysis). We also consider quasi-direct effects, i.e., damage originated by charge transfers after ionization of the hydration shell surrounding the DNA. DNA geometries are needed to account for the damage induced by ionizing radiation, and different geometry models can be used for speed or accuracy reasons. In this work, we use the Monte Carlo track structure tool TOPAS-nBio, built on top of Geant4-DNA, for simulation at the nanometer scale to evaluate differences among three DNA geometrical models in an entire cell nucleus, including a sphere/spheroid model specifically designed for this work. In addition to strand breaks, we explicitly consider the direct, quasi-direct, and indirect damage induced to DNA base moieties. We use results from the literature to determine the best values for the relevant parameters. For example, the proportion of hydroxyl radical reactions between base moieties was 80%, and between backbone, moieties was 20%, the proportion of radical attacks leading to a strand break was 11%, and the expected ratio of base damages and strand breaks was 2.5-3. Our results show that failure to update parameters for new geometric models can lead to significant differences in predicted damage yields.
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http://dx.doi.org/10.1667/RADE-21-00179.1 | DOI Listing |
Am Heart J Plus
January 2025
The University of Notre Dame Australia, Fremantle, WA, Australia.
Background: There is limited data showing the predictive accuracy of traditional cardiovascular risk scores (CVRS) to predict asymptomatic coronary artery disease (CAD) determined by coronary computed tomography angiography (CCTA).
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Rep Pract Oncol Radiother
December 2024
Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
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View Article and Find Full Text PDFHeliyon
December 2024
Department of Computer Science and Engineering, Anand Engineering College, Agra, India.
Groundwater contamination with fluoride is a considerable public health concern that affects millions of people worldwide. The rapid growth of urbanization has led to increase in groundwater contamination. The health risk assessment focuses on both acute and chronic health consequences as it investigates the extent and effects of fluoride exposure through contaminated groundwater.
View Article and Find Full Text PDFLancet Reg Health Am
January 2025
Curso de Medicina, Universidade Salvador, Salvador, Brazil.
Background: Despite government efforts, tuberculosis (TB) remains a major public health threat in Brazil. In 2023, TB incidence was 39.8 cases per 100,000 population, far above the WHO's target of 6.
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Environmental and Occupational Health, University of California, Irvine, CA, USA; Department of Statistics, University of California, Irvine, CA, USA; Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA.
When drinking water is uncontaminated, exposure to PFAS is thought to occur primarily via ingestion of food and indoor dust. To understand the background exposure during prenatal periods, this study examined whether published estimates of PFAS exposure rates from dietary and dust ingestion provide reasonable predictions of PFAS serum concentrations among pregnant women in the general population. This study estimated serum concentrations of four PFAS during pregnancy based on published PFAS intake rates for food and indoor dust reported in the peer-reviewed literature, a pharmacokinetic model using two different sets of parameters, and Monte Carlo simulation to account for variability/uncertainty.
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