PDF(Pubmed)
Abstract：
The effect of airborne exposure on the eye surface is an area in need of exploration, particularly in light of the increasing number of incidents occurring in both civilian and military settings. In this study, in silico methods based on a platform comprising a portfolio of software applications and a technology ecosystem are used to test potential surface ocular toxicity in data presented from Iraqi burn pits and the East Palestine, Ohio, train derailment. The purpose of this analysis is to gain a better understanding of the long-term impact of such an exposure to the ocular surface and the manifestation of surface irritation, including dry eye disease. In silico methods were used to determine ocular irritation to chemical compounds. A list of such chemicals was introduced from a number of publicly available sources for burn pits and train derailment. The results demonstrated high ocular irritation scores for some chemicals present in these exposure events. Such an analysis is designed to provide guidance related to the needed ophthalmologic care and follow-up in individuals who have been in proximity to burn pits or the train derailment and those who will experience future toxic exposure.
摘要：
空气暴露对眼睛表面的影响是一个需要探索的领域，特别是鉴于平民和军事环境中发生的事件越来越多。在这项研究中,基于包含软件应用组合和技术生态系统的平台的计算机模拟方法用于测试伊拉克烧伤坑和东巴勒斯坦的数据中潜在的表面眼部毒性，俄亥俄州,火车脱轨.此分析的目的是更好地了解这种暴露于眼表的长期影响以及表面刺激的表现，包括干眼症。计算机模拟方法用于确定对化合物的眼部刺激。从许多公开来源引入了此类化学品的清单，用于燃烧坑和火车脱轨。结果表明，这些暴露事件中存在的某些化学物质的眼部刺激评分很高。这样的分析旨在为已经接近烧伤坑或火车出轨的个体以及未来将经历毒性暴露的个体提供与所需的眼科护理和随访相关的指导。
