Department of Radiation-Applied Biology Research, Quantum Beam Science Research Directorate, National Institutes for Quantum and Radiological Science and Technology (QST), Watanuki, Takasaki, Gunma, Japan.
Research Group for Radiation Transport Analysis, Nuclear Science and Engineering Center, Japan Atomic Energy Agency (JAEA), Shirakata, Tokai, Ibaraki, Japan.
PLoS One. 2019 Aug 23;14(8):e0221579. doi: 10.1371/journal.pone.0221579. eCollection 2019.
Cataracts have long been known, but a biomathematical model is still unavailable for cataratogenesis. There has been a renewed interest in ionizing radiation cataracts because the recent international recommendation of the reduced lens dose limit stimulated the discussion toward its regulatory implementation in various countries. Nevertheless, a relationship between radiation (dose and dose rate) and response (e.g., incidence, onset and progression) remains incompletely understood, raising the need for a risk-predictive mathematical model. We here report for the first time an in silico model for cataractogenesis. First, a simplified cell proliferation model was developed for human lens growth based on stem and progenitor cell proliferation as well as epithelial-fiber cell differentiation. Then, a model for spontaneous cataractogenesis was developed to reproduce the human data on a relationship between age and cataract incidence. Finally, a model for radiation cataractogenesis was developed that can reproduce the human data on a relationship between dose and cataract onset at various ages, which was further applied to estimate cataract incidence following chronic lifetime exposure. The model can serve as the foundation for further development of the risk-predictive model for cataractogenesis along with additional considerations of various biological mechanisms and epidemiological datasets.
白内障早已为人所知,但目前仍没有用于白内障发病机制的生物数学模型。由于最近国际上建议降低晶状体剂量限值,这再次引发了人们对电离辐射性白内障的兴趣,促使各国讨论其监管实施。然而,辐射(剂量和剂量率)与反应(例如发生率、发病和进展)之间的关系仍不完全清楚,这就需要建立一个风险预测的数学模型。我们首次报道了一种白内障发病机制的计算机模型。首先,我们根据干细胞和祖细胞增殖以及上皮-纤维细胞分化,为人类晶状体生长开发了一个简化的细胞增殖模型。然后,我们开发了一种自发性白内障发病模型,以再现年龄与白内障发生率之间的人类数据关系。最后,我们开发了一种用于放射性白内障发病的模型,可以再现不同年龄组剂量与白内障发病之间的人类数据关系,进一步用于估计慢性终生暴露后的白内障发生率。该模型可以作为进一步开发白内障发病风险预测模型的基础,同时考虑各种生物学机制和流行病学数据集。