A biphasic spatiotemporal non-homologous end joining model coupled with Monte Carlo DNA damage data for chromosome aberration prediction

Abstract Objective. This study extends a DNA damage simulation package to incorporate a biphasic spatiotemporal non-homologous end joining (NHEJ) repair framework. The aim is to predict radiation induced chromosome aberrations for various beam qualities and dose rates from an independent parameter set. Approach. A biphasic NHEJ kinetic model, characterized by fast and slow components with experimentally constrained repair rate constants ( λ f = 2.48 h −1 and λ s = 0.408 h −1 ) and slow portion ( η DSB = 19%), was coupled to a DNA end diffusion process ( D = 0.1 μm 2 h −1 ). DNA damage data from Monte Carlo-based biophysical program was used as input, while different types of chromosome aberrations were generated as output. The extended framework was benchmarked against chromosome aberration measurements in human fibroblasts under acute γ -rays, α particles, and chronic low dose-rate γ -ray irradiations. All parameters were obtained from independent measurements without fitting to chromosome aberration data. Model performance was evaluated using the coefficient of determination ( R 2 ). Main Results. For acute γ -rays and α particles, the proposed model reproduced the dose-response curves of dicentrics and interstitial deletions with reasonable accuracy, while larger deviations were observed for rings and terminal deletions. The corresponding total-aberration R 2 were 0.973 and 0.947. Notably, the inclusion of spatiotemporal repair dynamics substantially improved agreement of rings and terminal deletions for α -particles compared to a pure distance-dependent model. Simulations of chronic γ -ray irradiations reproduced total aberration yields at 6.3 cGy h −1 with R 2 = 0.968, while the 2.8 cGy h −1 case exhibited notable deviation with R 2 = − 0.517. Sensitivity analyses suggested model stability and robustness with all sensitivity coefficients remaining below 1.3. Significance. By integrating spatial diffusion and biphasic repair kinetics, the proposed model provides a quantitative link between microdosimetric energy deposition and macroscopic chromosome aberrations. The approach offers a foundation for mechanistic modeling of relative biological effectiveness in particle therapy.

Authors

Institutions

Publication Details

Journal
Physics in Medicine and Biology
Published
2026-09-11
DOI
https://doi.org/10.1088/1361-6560/ae95d8
Primary Topic
DNA Repair Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A biphasic spatiotemporal non-homologous end joining model coupled with Monte Carlo DNA damage data for chromosome aberration prediction

Ying Liang, Jianan Wu, Chunling Zheng, Xiaoyan Huang et al.
Physics in Medicine and Biology
DNA Repair Mechanisms
article

A biphasic spatiotemporal non-homologous end joining model coupled with Monte Carlo DNA damage data for chromosome aberration prediction

Ying Liang, Jianan Wu, Chunling Zheng, Xiaoyan Huang, Guomin Huang, Man Zhao
article en

Abstract

Abstract Objective. This study extends a DNA damage simulation package to incorporate a biphasic spatiotemporal non-homologous end joining (NHEJ) repair framework. The aim is to predict radiation induced chromosome aberrations for various beam qualities and dose rates from an independent parameter set. Approach. A biphasic NHEJ kinetic model, characterized by fast and slow components with experimentally constrained repair rate constants ( λ f = 2.48 h −1 and λ s = 0.408 h −1 ) and slow portion ( η DSB = 19%), was coupled to a DNA end diffusion process ( D = 0.1 μm 2 h −1 ). DNA damage data from Monte Carlo-based biophysical program was used as input, while different types of chromosome aberrations were generated as output. The extended framework was benchmarked against chromosome aberration measurements in human fibroblasts under acute γ -rays, α particles, and chronic low dose-rate γ -ray irradiations. All parameters were obtained from independent measurements without fitting to chromosome aberration data. Model performance was evaluated using the coefficient of determination ( R 2 ). Main Results. For acute γ -rays and α particles, the proposed model reproduced the dose-response curves of dicentrics and interstitial deletions with reasonable accuracy, while larger deviations were observed for rings and terminal deletions. The corresponding total-aberration R 2 were 0.973 and 0.947. Notably, the inclusion of spatiotemporal repair dynamics substantially improved agreement of rings and terminal deletions for α -particles compared to a pure distance-dependent model. Simulations of chronic γ -ray irradiations reproduced total aberration yields at 6.3 cGy h −1 with R 2 = 0.968, while the 2.8 cGy h −1 case exhibited notable deviation with R 2 = − 0.517. Sensitivity analyses suggested model stability and robustness with all sensitivity coefficients remaining below 1.3. Significance. By integrating spatial diffusion and biphasic repair kinetics, the proposed model provides a quantitative link between microdosimetric energy deposition and macroscopic chromosome aberrations. The approach offers a foundation for mechanistic modeling of relative biological effectiveness in particle therapy.

Physics in Medicine and BiologyVol. 71(17)
Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Clinical Research (US), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China, Sanming Project of Medicine in Shenzhen
Affordable and clean energy
Openalex Percentile: Top 18%
DNA Repair Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.