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Updated: May 14, 2026

Intestinal Epithelial Regeneration in Response to Ionizing Irradiation
Published on: July 27, 2022
A kinetic-based model of radiation-induced intercellular signalling
Stephen J McMahon1, Karl T Butterworth, Colman Trainor
1Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Northern Ireland, United Kingdom. stephen.mcmahon@qub.ac.uk
Intercellular communication significantly impacts cellular responses to genotoxic stress. A new mathematical model reveals that radiation-induced bystander effects are crucial for accurate radio-biological outcome predictions.
Area of Science:
- Radiobiology
- Cellular Biology
- Mathematical Modeling
Background:
- Intercellular communication influences cellular responses to genotoxic stress.
- The radiation-induced bystander effect demonstrates reduced cell survival in non-irradiated cells co-cultured with irradiated cells.
- Current quantitative models for these effects lack broad applicability.
Purpose of the Study:
- To develop a novel, widely applicable mathematical model for radiation-induced intercellular signaling.
- To integrate signal production, response kinetics, and direct irradiation effects into a unified model.
- To test the model's predictions against existing experimental data.
Main Methods:
- Development of a novel mathematical model for intercellular signaling.
- Incorporation of signal production and response kinetics.
- Inclusion of direct irradiation effects.
- Validation against published datasets, including modulated field exposures.
Main Results:
- The model suggests bystander effects significantly influence cellular survival, even in directly irradiated cells.
- The model provides a quantitative framework for understanding radiation-induced intercellular communication.
- The model demonstrates applicability to various exposure scenarios.
Conclusions:
- Intercellular communication, specifically bystander effects, plays a critical role in determining cellular survival after radiation exposure.
- Accurate modeling of radio-biological outcomes, especially in vivo, necessitates the inclusion of intercellular communication.
- The developed mathematical model offers a robust tool for predicting these effects.
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