The UNC Chapel Hill Superfund Research Program (UNC-SRP)

北卡罗来纳大学教堂山超级基金研究计划 (UNC-SRP)

• 批准号: 10208313
• 负责人: Rebecca Fry
• 金额: $ 45.73万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-04 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10208313
• 关键词: 2019-nCoV; Address; Administrative Supplement; Affect; Area; Arsenic; Bioinformatics; Biostatistical Methods; Buffers; COVID-19; Cessation of life; Chemical Exposure; Chemicals; Chronic; Communities; County; Data; Data Analyses; Data Set; Data Sources; Development; Diabetes Mellitus; Discrimination; Disease; Disease Outcome; Domestic Violence; Elderly; Environmental Risk Factor; Exposure to; Food; Fostering; Generations; Health; Health Insurance; High Prevalence; Human; Immune; Immune system; Immunosuppressive Agents; Income; Individual; Inequality; Infection; Intervention; Investigation; Knowledge; Laboratories; Literature; Lung infections; Measures; Medical; Metabolic dysfunction; Metals; Methods; Natural Immunity; Neighborhoods; North Carolina; Nutritional; Obesity; Outcome; Output; Physiological; Poison; Population; Poverty; Predisposition; Privatization; Program Research Project Grants; Property; Public Health; Publishing; Research; Research Activity; Research Personnel; Risk; Role; Scanning; Schools; Selenium; Structure; Superfund; System; Time; Toxic effect; Unemployment; United States; Universities; Violence; Viral; Vision; Water; Zinc; adaptive immunity; base; burden of illness; coronavirus disease; data management; disorder prevention; disorder risk; drinking water; enhancing factor; health care availability; immune function; immune system function; improved; infection risk; interoperability; novel; programs; protective factors; resilience; social; social health determinants; social stressor; tool; toxic metal; toxicant; web portal

ABSTRACT The Data Management and Analysis Core (DMAC) provides critical support for University of North Carolina (UNC)-Superfund Research Program (SRP) researchers to manage and analyze data related to the theme, “Identifying novel methods to reduce inorganic arsenic (iAs) exposure and elucidating mechanisms underlying iAs-induced metabolic dysfunction with a vision for disease prevention.” Across the globe and in the United States, there is an urgent need to identify the factors that increase susceptibility to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced coronavirus disease (COVID-19) and interventions to reduce disease. We propose herein a study which will begin to address some of these questions as well as build capacity to answer further questions regarding environmental contributions to viral-induced disease. In this administrative supplement, we build upon the activities in the DMAC and propose to address the fundamental knowledge gap in understanding environmental contributions to the COVID-19 burden in both NC and the US more generally as well as build tools to address these questions. In NC, communities are at risk of exposure to toxic substances known to affect the immune system. As an example, with millions of individuals on private wells in NC, there is significant concern that communities are exposed to toxic levels of inorganic arsenic (iAs), a known immunosuppressant. In addition to exposure to these chemical toxicants, communities are faced with exposure to social stressors such as neighborhood violence, unemployment, and poverty. These social stressors have also been shown to have physiologic effects on the immune system. Additionally, the synergistic effects of chemical and social stressors is becoming increasingly clear. These combined exposures may disproportionately impact the health of individuals who have reduced immune system function such as those suffering with obesity, those with chronic medical conditions, and the elderly. As a major output of this study, we propose the development of the NC Environmental Scan web portal (NC ENVIRO-SCAN) that will integrate key datasets of iAs, social stressors, and COVID-19 information to be able to identify communities with increased risk of infection and disease outcome. The central hypothesis of this research is that individuals living in areas where exposure to iAs and social stressors are high will have increased COVID-19 disease burden. This hypothesis is based on findings in our laboratories as well as the published literature. The three aims in the supplement include: (1) Evaluate the association between exposure to iAs, social stressors and COVID-19 disease risk in NC; (2) Identify resiliency factors that protect against COVID-19 disease risk; (3) Develop the NC ENVIRO-SCAN web portal and disseminate results to key stakeholders in NC. This study is novel in its investigation of combined effects of toxic substances (iAs), social stressors, and COVID-19 disease risk. It has the potential to improve public health in NC and protect populations from the harms of chemically-enhanced disease risk.

摘要 数据管理和分析核心（DMAC）为北卡罗来纳州大学提供关键支持 （二）-超级基金研究计划（SRP）的研究人员管理和分析与主题相关的数据， “确定减少无机砷（iAs）暴露的新方法，并阐明其潜在机制 iAs诱导的代谢功能障碍，并具有预防疾病的愿景。在地球仪和美国 因此，迫切需要确定增加对严重急性呼吸道感染易感性的因素。 冠状病毒2型综合征（SARS-CoV-2）引起的冠状病毒疾病（COVID-19）和减少的干预措施 疾病我们在此提议开展一项研究，开始解决其中一些问题并建设能力 以回答有关环境对病毒引起的疾病的贡献的进一步问题。在这 行政补充，我们建立在DMAC的活动，并建议解决基本的 在理解环境对北卡罗来纳州和美国COVID-19负担的贡献方面存在知识差距 更广泛地说，以及建立工具来解决这些问题。在北卡罗来纳州，社区面临着接触 有毒物质会影响免疫系统例如，数百万人在私人威尔斯井上工作， 在北卡罗来纳州，人们非常关注社区暴露于有毒水平无机砷（iAs）， 已知的免疫抑制剂。除了接触这些化学毒物外，社区还面临着 暴露于社会压力源，如邻里暴力，失业和贫困。这些社会压力源 也被证明对免疫系统有生理作用。此外， 化学和社会压力因素变得越来越明显。这些合并的风险可能不成比例地 影响免疫系统功能降低的个体如肥胖症患者的健康， 慢性病患者和老年人。作为本研究的主要成果，我们建议 开发北卡罗来纳州环境扫描门户网站（北卡罗来纳州环境扫描），该门户网站将整合 iAs、社会压力源和COVID-19信息，以便能够识别感染风险增加的社区 和疾病结果。这项研究的中心假设是， iAs和社会压力因素的高暴露将增加COVID-19疾病负担。这 该假设是基于我们实验室的发现以及已发表的文献。三个目标， 补充包括：（1）评估接触iAs、社会压力源和COVID-19之间的关联 NC中的疾病风险;（2）识别抵御COVID-19疾病风险的弹性因素;（3）制定NC 国家统计局-SCAN门户网站，并向国家信息中心的主要利益攸关方传播结果。这项研究是新颖的， 调查有毒物质（iAs）、社会压力和COVID-19疾病风险的综合影响。它有 改善北卡罗来纳州公共卫生和保护人口免受化学增强型农药危害的潜力 疾病风险。