TOPAS-nBio simulation of temperature-dependent indirect DNA strand break yields.
Jose Asuncion Ramos-MendezOmar García-GarcíaJorge Domínguez-KondoJay A LaVerneSchuemann JanEduardo Barbosa MorenoBruce A FaddegonPublished in: Physics in medicine and biology (2022)
Current Monte Carlo simulations of DNA damage have been reported only at ambient temperature. The aim of this work is to use TOPAS-nBio to simulate the yields of DNA single-strand breaks (SSBs) and double-strand breaks (DSBs) produced in plasmids under low-LET irradiation incorporating the effect of the temperature changes in the environment. A new feature was implemented in TOPAS-nBio to incorporate reaction rates used in the simulation of the chemical stage of water radiolysis as a function of temperature. The implemented feature was verified by simulating temperature-dependent G -values of chemical species in liquid water from 20 °C to 90 °C. For radiobiology applications, temperature dependent SSB and DSB yields were calculated from 0 °C to 42 °C, the range of available published measured data. For that, supercoiled DNA plasmids dissolved in aerated solutions containing EDTA irradiated by Cobalt-60 gamma-rays were simulated. TOPAS-nBio well reproduced published temperature-dependent G -values in liquid water and the yields of SSB and DSB for the temperature range considered. For strand break simulations, the model shows that the yield of SSB and DSB increased linearly with the temperature at a rate of (2.94 ± 0.17) × 10 -10 Gy -1 Da -1 °C -1 ( R 2 = 0.99) and (0.13 ± 0.01) × 10 -10 Gy -1 Da -1 °C -1 ( R 2 = 0.99), respectively. The extended capability of TOPAS-nBio is a complementary tool to simulate realistic conditions for a large range of environmental temperatures, allowing refined investigations of the biological effects of radiation.
Keyphrases
- dna damage
- monte carlo
- escherichia coli
- randomized controlled trial
- machine learning
- cell free
- oxidative stress
- ionic liquid
- single molecule
- air pollution
- multidrug resistant
- systematic review
- radiation therapy
- climate change
- gold nanoparticles
- particulate matter
- risk assessment
- circulating tumor cells
- neural network