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.

用于解决环境污染期间接触混合物问题的综合工具和模型 与紧急情况有关的污染事件 总体方案说明 与气候变化有关的灾害，加上经济活动， 弱势社区遭受灾难性化学品污染事件的风险显著增加， 与天气有关的或人为的紧急情况。化学品接触的复杂性及其潜在影响 有害健康影响，需要迅速和全面地评估接触的潜在危害 复杂的混合物，以及保护弱势群体和生命阶段的必要性， 超级基金研究计划中的方法。该中心由一批知名科学家组成， 来自生物医学、地球科学、数据科学和工程学科的科学家，他们有一个共同的目标：开发， 应用和翻译一套全面的工具和模型，帮助第一反应者， 社区和政府机构在描述和减轻人类健康的后果， 接触有害混合物。这将适用于现有的受污染废物场地， 与灾害有关的污染事件。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，以快速表征儿科 环境灾难后接触危险挥发性有机化合物带来的呼吸道健康风险。 项目3将开发和使用胎儿-母体界面组织芯片模型，用于早产的快速评估 危险物质的风险。项目4将继续开发预测性体外方法， 评价复杂混合物以及个体内和个体间的毒性变异性。项目5响应 超级基金补救任务是利用实验和计算工程来开发优化的 用于有毒混合物的多组分吸附剂。灾难研究响应（DR 2）核心将是一个集中的 在灾害发生之前、期间和之后进行环境取样和评估。数据管理 和分析核心将开发计算和统计工具，用于分析和整合“大数据”， 环境卫生。风险和地理空间科学核心将为中心提供数据和服务， 描述灾害期间的人类健康风险和危险物质的地理分布。 该中心将与德克萨斯州的社区组织和公共卫生从业人员合作， 可能受到环境紧急情况相关污染事件影响的人群的关切。 我们将继续培训学生和博士后研究员在跨学科的方法，在我们的科学 区域、决策和应急响应。研究翻译到地方，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，管理 该计划包括与德克萨斯A&M大学管理部门和NIEHS资助的 转化环境健康研究中心，并由代表 学术界、联邦和州机构、工业界和一个非政府组织。