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)为北卡罗来纳大学提供关键支持 (UNC)-超级基金研究计划(SRP)研究人员管理和分析与主题相关的数据， 确定减少无机砷暴露的新方法，并阐明其潜在的机理 IAS引起的代谢功能障碍，着眼于疾病预防。在全球和美国 各国迫切需要查明增加严重急性呼吸系统疾病易感性的因素。 SARS-CoV-2引起的冠状病毒病(新冠肺炎)及其干预措施 疾病。我们在此提出了一项研究，该研究将开始解决其中一些问题以及建设能力 回答有关环境对病毒引起的疾病的影响的进一步问题。在这 行政补充，我们建立在DMAC活动的基础上，并建议解决基本的 北卡罗来纳州和美国在理解环境对新冠肺炎负担贡献方面的知识差距 更一般地，以及构建工具来解决这些问题。在北卡罗来纳州，社区面临暴露于 已知会影响免疫系统的有毒物质。例如，数以百万计的人在私人油井上 在北卡罗来纳州，人们非常担心社区暴露在有毒水平的无机砷(IAS)中，a 已知的免疫抑制剂。除了暴露在这些化学毒物之外，社区还面临着 暴露在社区暴力、失业和贫困等社会压力源中。这些社交压力源 也被证明对免疫系统有生理影响。此外，两种技术的协同效应 化学和社会应激源正变得越来越明显。这些综合风险敞口可能不成比例 影响免疫系统功能下降的人的健康，例如肥胖者， 那些患有慢性病的人，以及老年人。作为这项研究的主要成果，我们建议 开发NC环境扫描网络门户(NC Envio-Scan)，该门户将整合 免疫活性物质、社会压力源和新冠肺炎信息，能够识别感染风险增加的社区 以及疾病的结果。这项研究的中心假设是，生活在 暴露于IAS和社会应激源较高会增加新冠肺炎的疾病负担。这 这一假说是基于我们实验室的发现和已发表的文献。的三个目标 补充内容包括：(1)评估网络生活事件、社会压力源与新冠肺炎之间的关系 NC的疾病风险；(2)确定防范新冠肺炎疾病风险的弹性因素；(3)发展NC 对门户网站进行环境扫描，并将结果传播给北卡罗来纳州的主要利益相关者。这项研究具有创新性。 有毒物质、社会应激源和新冠肺炎患病风险的联合影响调查。它有 在北卡罗来纳州改善公共健康和保护民众免受化学强化的危害的潜力 疾病风险。