Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events

用于解决环境紧急事件相关污染事件期间混合物暴露问题的综合工具和模型

• 批准号: 10349750
• 负责人: Ivan Rusyn
• 金额: $ 185.21万
• 依托单位: TEXAS A&M UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-20 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10349750
• 关键词: Academia; Acute; Address; Air Pollutants; Analytical Chemistry; Area; Attention; Basic Science; Benchmarking; Big Data; Chemical Exposure; Chemicals; Chemistry; Childhood; Communities; Complex; Complex Mixtures; Computer Models; Coupled; Data; Data Analyses; Data Engineering; Data Science; Decision Making; Development; Disadvantaged; Disasters; Discipline; Dose; Economics; Education; Emergency Situation; Emergency response; Engineering; Environmental Health; Environmental Impact; Evaluation; Event; Experimental Models; Exposure to; Faculty; First Aid; Funding; Geographic Distribution; Geoscience; Goals; Government Agencies; Hazardous Chemicals; Hazardous Substances; Hazardous Waste Sites; Health; Health Hazards; Human; In Vitro; Individual; Industry; Infrastructure; International; Lead; Life; Methods; Modeling; Modernization; National Institute of Environmental Health Sciences; Nongovernmental Organizations; North Carolina; Pathway interactions; Population; Population Growth; Postdoctoral Fellow; Predisposition; Pregnancy; Premature Birth; Program Description; Public Health; Quantitative Evaluations; Readiness; Recovery; Reproducibility; Research; Resources; Risk; Risk Assessment; Sampling; Science; Scientist; Services; Site; Soil; Students; Superfund; Techniques; Technology Transfer; Testing; Texas; Time; Tissue Microarray; Toxic effect; Training; Translating; Translational Research; Universities; Vulnerable Populations; Water; Weather; Work; adverse outcome; air sampling; anthropogenesis; base; biomedical scientist; climate change; community engagement; community organizations; cost; data analysis pipeline; data management; disaster resilience; experience; first responder; hazard; inter-individual variation; interdisciplinary approach; land use; multidisciplinary; next generation; novel; novel strategies; outreach; preventive intervention; programs; rapid detection; rapid technique; remediation; resilience; respiratory health; response; skills; socioeconomic disparity; student training; support tools; tool; volatile organic compound; wasting

Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events Overall Program Description Climate change-associated disasters coupled with economic activity and the enhanced vulnerability of already disadvantaged communities markedly increase risks from catastrophic chemical contamination events resulting from weather-related or anthropogenic emergencies. The complexities of chemical exposures and their potential adverse health impacts, the need to rapidly and comprehensively evaluate the potential hazards of exposures to complex mixtures, and the necessity of protecting vulnerable populations and life-stages call for novel approaches in the Superfund Research Program. This Center consists of a team of well-established scientists from biomedical, geosciences, data science, and engineering disciplines who share a common goal: to develop, apply, and translate a comprehensive set of tools and models that will aid first responders, impacted communities, and government agencies in characterizing and mitigating the human health consequences of exposure to hazardous mixtures. These will be applicable for both existing contaminated waste sites and disaster-related contamination events. Project 1 will develop novel analytical and computational strategies for exposure assessment of complex mixtures. Project 2 will develop novel tools to rapidly characterize pediatric respiratory health risks from exposure to hazardous volatile organic compounds after environmental disasters. Project 3 will develop and use feto-maternal interface tissue chip models for rapid assessment of preterm birth risks of hazardous substances. Project 4 will continue development of predictive in vitro methods for quantitative evaluation of the complex mixtures and intra- and inter-individual variability in toxicity. Project 5 is responsive to the Superfund remediation mandate by using experimental and computational engineering to develop optimized multi-component sorbents for toxic mixtures. A Disaster Research Response (DR2) Core will be a centralized resource for environmental sampling and assessment before, during, and after disasters. A Data Management and Analysis Core will develop computational and statistical tools for analysis and integration of “big data” in environmental health. A Risk and Geospatial Science Core will provide the Center with data and services for characterizing human health risks and the geographic distribution of hazardous substances during disasters. The Center will engage with community organizations and public health practitioners in Texas to address health concerns of the populations that may be impacted by environmental emergency-related contamination events. We will continue training students and postdoctoral fellows in inter-disciplinary approaches across our scientific areas, decision making and emergency response. The research translation to local, state, national and international stakeholders involves both technology transfer and regular outreach. Finally, the management of this program includes close partnerships with the Texas A&M University administration and the NIEHS-funded Center for Translational Environmental Health Research, and is overseen by the advisors representing academia, federal and state agencies, industry and a non-governmental organization.

综合工具和模型，用于解决在环境保护过程中暴露于混合物的问题 与突发事件相关的污染事件 总体计划说明 与气候变化相关的灾害，加上经济活动和已经存在的 弱势社区显著增加了灾难性化学污染事件的风险 从天气相关的或人为的紧急情况。化学暴露的复杂性及其潜力 有害的健康影响，需要迅速和全面地评估接触的潜在危险 对于复杂的混合物，保护脆弱人群和生命阶段的必要性呼唤新的 超级基金研究计划中的方法。该中心由一支久负盛名的科学家团队组成 来自生物医学、地球科学、数据科学和工程学科，他们有着共同的目标：开发、 应用并翻译一套全面的工具和模型，以帮助受影响的急救人员 社区和政府机构在确定和减轻人类健康后果方面的作用 暴露在有害混合物中。这些规定将适用于现有的受污染废物场和 与灾难相关的污染事件。项目1将开发新的分析和计算策略 复杂混合物的暴露评估。项目2将开发新的工具来快速表征儿科 环境灾难后暴露在危险挥发性有机化合物中的呼吸道健康风险。 项目3将开发和使用胎儿-母体界面组织芯片模型，用于快速评估早产 危险物质的风险。项目4将继续开发定量的体外预测方法 评估复杂的混合物以及毒性的个体内和个体间的差异。项目5响应了 利用实验和计算工程开发优化的超级基金补救任务 用于有毒混合物的多组分吸着剂。灾难研究响应(DR2)核心将是一个集中的 灾害发生前、灾中和灾后环境采样和评估的资源。A数据管理 分析核心将开发计算和统计工具，用于分析和整合 环境健康。风险和地理空间科学核心将为该中心提供以下数据和服务 描述人类健康风险和灾害期间有害物质的地理分布。 该中心将与德克萨斯州的社区组织和公共卫生从业者接触，以解决卫生问题 关注可能受到与环境突发事件相关的污染事件影响的人群。 我们将继续培训学生和博士后研究员在跨学科方法在我们的科学 区域、决策和应急响应。将研究翻译成地方、州、国家和 国际利益攸关方既涉及技术转让，也涉及定期外联。最后，对企业的管理 该计划包括与德克萨斯农工大学行政部门和NIEHS资助的 翻译环境健康研究中心，并由代表 学术界、联邦和州机构、工业界和一个非政府组织。