Analytische Chemie
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Electron beam therpy is used to treat tumor cells by irradiation with high energy electrons (HEE). The irradiation is performed by medical linear accelerators.
By interaction of the HEE with the irradiated tissue a broad spectra of secondary electrons and water dissoziation products is generated.
These products interact with biomolecules, especially DNA, by various processes. The disentanglement of the resulting direct- and indirect damage to DNA and other cellular components is still under debate.
To increase the efficiency of future therapies a better understanding of the microscopic damaging processes is highly important.
Especially the various contributions of the secondary species produced, such as low energy electrons (LEE) and radicals is far from understood and quantified.
To increase the understanding we present a combination of a microdosimetric simulations and experiments to quantify the damage by means of electron scattering and diffusion simulations within the Geant4-DNA framework.
In combination with in-liquid irradiation of plasmid DNA it possible to determine microdosimetric quantities for biomolecules in liquid environment.
The presented method was applied to the irradiation of plasmid DNA (pUC19) in water.
This opens up new possibilities in radiation research to quantify the dosage-damage relationship for microscopic plasmid volumes under well defined physiological condition.
The quantification of radiation induced damage to DNA in aqueous en-
vironment is of fundamental interest for dosimetry and its application
in radiation-therapy and protection. We present a combined experi-
mental and simulational approach to quantify and compare radiation
induced damage to biomolecules in liquid environment for a wide range
of primary radiation sources e. g. photons, electrons or ions and tar-
gets, such as DNA, proteins or cells.[1] To show its viability, we will
apply this method to an experimentally challenging systems, the di-
rect irradiation of plasmid DNA (pUC19) in water with electrons as
primary particles. Here we combine Geant4 electron-scattering simula-
tions with calculations concerning the diffusion and convection induced
movement of the biomolecules, within a coarse-grained model of the
irradiated liquid. Additionally a microscopic target model for the plas-
mid DNA based on the relation of lineal energy and radiation quality
is used to calculate the effective target volume.
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of Radiation damage in biomolecules and tissue. To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined. Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. To estimate these effects, particle scattering simulations are applied. In general, different approaches for modeling the AuNP and their distribution within the cell are possible. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented.
These models are applicable to simulations of internal emitters and external radiation sources. Most of the current studies on AuNP focus on external beam therapy. In contrast, we apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared. Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus. These results are the foundation for future experimental work which aims to obtain a mechanistic understanding of cell death induced by radioactive 198Au.
Models for TOPAS/Geant4 to estimate the microscopic dose received by biomolecules during bioSAXS experiments.
The C++ classes in this repository extend the functionality of the TOPAS (http://www.topasmc.org/) Monte-Carlo program, which is itself a wrapper of the Geant4 MCS Toolkit (http://geant4.org).
Dose enhancement by gold nanoparticles (AuNP) increases the biological effectiveness of radiation damage in biomolecules and tissue. To apply them effectively during cancer therapy their influence on the locally delivered dose has to be determined.[1] Hereby, the AuNP locations strongly influence the energy deposit in the nucleus, mitochondria, membrane and the cytosol of the targeted cells. To estimate these effects, particle scattering simulations are applied. In general, different approaches for modeling the AuNP and their distribution within the cell are possible. In this work, two newly developed continuous and discrete-geometric models for simulations of AuNP in cells are presented. [2] These models are applicable to simulations of internal emitters and external radiation sources. Most of the current studies on AuNP focus on external beam therapy. In contrast, we apply the presented models in Monte-Carlo particle scattering simulations to characterize the energy deposit in cell organelles by radioactive 198AuNP. They emit beta and gamma rays and are therefore considered for applications with solid tumors. Differences in local dose enhancement between randomly distributed and nucleus targeted nanoparticles are compared. Hereby nucleus targeted nanoparticels showed a strong local dose enhancement in the radio sensitive nucleus. These results are the foundation for ongoing experimental work which aims to obtain a mechanistic understanding of cell death induced by radioactive 198Au.
Accessing radiation damage to biomolecules on the nanoscale by particle-scattering simulations
(2023)
Radiation damage to DNA plays a central role in radiation therapy to cure cancer. The physico-chemical and biological processes involved encompass huge time and spatial scales. To obtain a comprehensive understanding on the nano and the macro scale is a very challenging tasks for experimental techniques alone. Therefore particle-scattering simulations are often applied to complement measurements and aide their interpretation, to help in the planning of experiments, to predict their outcome and to test damage models. In the last years, powerful multipurpose particle-scattering framework based on the Monte-Carlo simulation (MCS) method, such as Geant4 and Geant4-DNA, were extended by user friendly interfaces such as TOPAS and TOPAS-nBio. This shifts their applicability from the realm of dedicated specialists to a broader range of scientists. In the present review we aim to give an overview over MCS based approaches to understand radiation interaction on a broad scale, ranging from cancerous tissue, cells and their organelles including the nucleus, mitochondria and membranes, over radiosensitizer such as metallic nanoparticles, and water with additional radical scavenger, down to isolated biomolecules in the form of DNA, RNA, proteins and DNA-protein complexes. Hereby the degradation of biomolecules by direct damage from inelastic scattering processes during the physical stage, and the indirect damage caused by radicals during the chemical stage as well as some parts of the early biological response is covered. Due to their high abundance the action of hydroxyl radicals (•OH) and secondary low energy electrons (LEE) as well as prehydrated electrons are covered in additional detail. Applications in the prediction of DNA damage, DNA repair processes, cell survival and apoptosis, influence of radiosensitizer on the dose distribution within cells and their organelles, the study of linear energy transfer (LET), the relative biological effectiveness (RBE), ion beam cancer therapy, microbeam radiation therapy (MRT), the FLASH effect, and the radiation induced bystander effect are reviewed.