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

基本信息

批准号：
9693906
负责人：
Ivan Rusyn
金额：
$ 0.79万
依托单位：
TEXAS A&M UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2022-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9693906
关键词：
Academia Acute Address Area Attention Big Data Biological Case Study Chemical Exposure Chemicals Communities Complex Complex Mixtures Computer Simulation Data Engineering Data Science Decision Making Detection Disasters Discipline Dose Economic Models Economics Education Emergency Situation Emergency response Engineering Environment Environmental Health Environmental Impact Environmental Pollution Evaluation Event Experimental Models Exposure to Floods Funding Future Geoscience Goals Government Hazardous Chemicals Hazardous Substances Hazardous Waste Sites Health Health Sciences Human Human Activities Hurricane In Vitro Individual Industry International Lead Life Methods Modeling National Institute of Environmental Health Sciences Pathway interactions Population Postdoctoral Fellow Preventive Intervention Program Description Public Health Quantitative Evaluations Readiness Recovery Research Research Infrastructure Research Support Risk Risk Assessment Sampling Science Scientist Ships Site Social Impacts Students Superfund Technology Transfer Texas Time Toxic effect Toxicokinetics Training Translating Translational Research Translations Universities Weather Work adverse outcome analytical method anthropogenesis biomedical scientist cellular imaging climate change community organizations cost design economic impact emergency service responder hazard health economics improved industry partner inter-individual variation interdisciplinary approach new technology next generation novel novel strategies outreach programs rapid detection rapid technique resilience response stem cell biology student training tool tool development

项目摘要

Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events Overall Program Description Climate change and shifts in domestic economic activity markedly increase risks from catastrophic chemical contamination events resulting from weather-related or anthropogenic emergencies. The complexities of hazardous chemical exposures, potential adverse health impacts, and the need to rapidly and comprehensively evaluate the potential hazards of exposures to complex mixtures call for novel approaches in the Superfund Research Program. This Center brings together a team of scientists from biomedical, geosciences, data science and engineering disciplines to design comprehensive solutions for complex exposure- and hazard-related challenges. Our overall theme is to characterize and manage both existing and environmental emergency-created hazardous waste sites through the development of the tools that can be used by first responders, the impacted communities, and the government bodies involved in site management and cleanup. Our case study is a hurricane or flooding event that impacts Galveston Bay/Houston Ship Channel area and leads to exposure to contaminated sediments. Project 1 will study fate and transport of complex environmental contaminants in sediments and incorporate this information into environmental models. Project 2 will develop novel low-cost broad-acting sorption materials suitable for mitigation of acute exposures to complex contaminant mixtures. Projects 3 and 4 will take advantage of the discoveries in cell imaging and stem cell biology to establish predictive in vitro methods for quantitative evaluation of the complex mixture- perturbed adverse outcome pathways and intra- and inter-individual variability in toxicity. An Exposure Science Core will be developing and applying novel sensitive analytical methods for targeted and un-targeted analysis of a broad array of contaminants in environmental and biological samples. A Data Science Core will develop computational and statistical tools for analysis and integration of “big data” in environmental health. A Decision Science Core will develop an integrated toxicokinetic, human health, and economic models to support environmental health decisions. 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 train 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 will be conducted through technology transfer and comprehensive outreach for the solutions developed by the Center. Finally, the management of this program will be conducted in close partnership with the administration at Texas A&M University and Health Science Center, the NIEHS-funded Center for Translational Environmental Health Research, and overseen by the advisors representing academia, federal and state agencies, industry and a non-governmental organization.

用于解决环境过程中混合物暴露问题的综合工具和模型与紧急情况相关的污染事件总体方案描述气候变化和国内经济活动的变化显着增加了灾难性化学品的风险与天气相关或人为紧急情况造成的污染事件的复杂性。危险化学品暴露、潜在的不利健康影响以及迅速采取措施的必要性全面评估暴露于复杂混合物的潜在危害需要新的方法该中心汇集了来自生物医学、地球科学、数据科学和工程学科，为复杂的问题设计全面的解决方案我们的总体主题是描述和管理现有和危害相关的挑战。通过开发可用于环境紧急情况创建的危险废物场的工具供急救人员、受影响社区和参与现场管理的政府机构使用我们的案例研究是影响加尔维斯顿湾/休斯顿船舶的飓风或洪水事件。项目 1 将研究通道区域和受污染沉积物的暴露情况。沉积物中复杂的环境污染物，并将这些信息纳入环境模型。项目 2 将开发适合缓解急性暴露的新型低成本、广效吸附材料项目 3 和 4 将利用细胞成像和复杂污染物混合物的发现。干细胞生物学建立预测体外方法来定量评估复杂的混合物 - 受干扰的不良结果途径以及毒性的个体内和个体间差异。 Core 将开发和应用新颖的灵敏分析方法进行定向和非定向分析将开发一个数据科学核心，以研究环境和生物样本中的各种污染物。用于分析和整合环境健康“大数据”的计算和统计工具。 Science Core 将开发综合毒代动力学、人类健康和经济模型来支持该中心将与社区组织和公共卫生部门合作做出环境健康决策。德克萨斯州的从业者致力于解决可能受环境影响的人群的健康问题我们将对学生和博士后进行跨学科培训。我们的科学领域、决策制定和应急响应的研究方法。地方、州、国家和国际利益攸关方将通过技术转让和最后是该计划的管理。将与德克萨斯农工大学和健康科学管理部门密切合作进行中心，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、工业界和非政府组织的顾问。