Science and Engineering for Sensors, Mechanisms, and Biomarkers of Exposures

传感器、机制和暴露生物标志物的科学与工程

基本信息

项目摘要

Overall: Project Summary/Abstract Native Americans in Maine, and people living in the Mystic River Watershed in Massachusetts have expressed serious concerns about contaminants in their environments. In both locations, people are negatively impacted by legacy contaminants, and in both cases, there are Environmental Justice communities of concern. The Loring Air Force Base Superfund site impacts the Native Americans, and the Industri-Plex, Wells G&H, and Olin Superfund sites impact people living in the Mystic River Watershed (a land area north and east of Boston, covering 76 square miles that drains into rivers feeding into the Boston Harbor). The MIT-SRP brings engineering and scientific innovation to bear on critical problems relevant to our stakeholders in Maine and Massachusetts. Our problem-oriented program centers around two pervasive contaminants, N-nitrosamines (potently carcinogenic to animals) and PAHs (carcinogenic to people). Both of these contaminants are broadly important as they are present in multiple Superfund sites and they continue to be produced by ongoing industrial activities today. The MIT-SRP with its diverse expertise (from engineers, to chemists, to biologists and to biological engineers) has the tools, the commitment, and the willingness to collaborate, making it possible to take on these serious environmental health challenges. Specifically, the MIT-SRP will: a) identify novel PAH breakdown products; b) develop novel sensor technologies including a low cost smartphone- enabled carbon nanotube sensor; c) use high fidelity duplex consensus sequencing to reveal patterns of mutations that can be traced to specific contaminants; d) reveal how age and stage of development impact susceptibility to N-nitrosodimethylamine and PAH-induced mutations and cancer; e) reveal how gene- environment interactions impact susceptibility to genomic instability and cancer; and f) use phosphoproteomics and transcriptomics to uncover systems-level molecular responses that shed light on underlying mechanisms of disease and give rise to novel biomarkers of disease risk. These tools will inform policy, enable risk estimates, and guide remediation. Our bi-directional program is based on established relationships with local agencies that represent our stakeholders. To maximize the impact of our Program, we will continue to grow our relationships with the Massachusetts Department of Public Health, the ATSDR, the EPA, the NIEHS and Tribal Leaders. Embedded in all of the MIT-SRP activities are training opportunities for undergraduates, graduate students and postdocs, thus supporting the next generation of environmental health scientists. The impact of the MIT-SRP is predicted to be significant, thanks to multidisciplinary collaboration among engineers, biomedical researchers, community outreach professionals, and experts in training and translation. Further, the technologies and approaches that will be developed can be broadly disseminated among Superfund sites and elsewhere. Taken together, the MIT-SRP will enable reduced risk, guidance for remediation, and support for policy decisions, thus having a direct and measurable impact on public health.
总体:项目摘要/摘要 缅因州的美洲原住民和马萨诸塞州神秘河分水岭的人们表达了 对其环境中的污染物表示严重关切。在这两个地方,人们都受到了负面影响 在这两个案例中,都有令人担忧的环境正义社区。这个 洛林空军基地超级基金网站影响美洲原住民,工业,富国银行G&H和 奥林超级基金网站影响着生活在神秘河分水岭(波士顿以北和以东的一片土地地区, 覆盖76平方英里,流入流入波士顿港口的河流)。麻省理工学院-SRP带来了 工程和科学创新,以解决与我们在缅因州和 马萨诸塞州。我们以问题为导向的计划围绕着两种普遍存在的污染物--N-亚硝胺 (对动物可能致癌)和多环芳烃(对人致癌)。这两种污染物广泛存在于 重要,因为它们出现在多个Superfund站点中,并且它们继续由正在进行的 今天的工业活动。MIT-SRP拥有不同的专业知识(从工程师到化学家,再到生物学家 和生物工程师)拥有工具、承诺和合作意愿,使之 有可能应对这些严峻的环境健康挑战。具体而言,麻省理工学院SRP将:a)确定 新的PAH分解产品;b)开发新的传感器技术,包括低成本智能手机- 启用碳纳米管传感器;c)使用高保真双工共识测序,以揭示 可追溯到特定污染物的突变;d)揭示年龄和发育阶段如何影响 对N-亚硝基二甲胺和多环芳烃诱导的突变和癌症的敏感性;e)揭示基因- 环境相互作用影响对基因组不稳定和癌症的易感性;以及f)使用磷酸蛋白质组学 和转录组学,揭示系统水平的分子反应,揭示潜在的机制 并产生新的疾病风险生物标记物。这些工具将通知政策、启用风险 估计,并指导补救措施。我们的双向计划建立在与当地居民建立的关系基础上 代表我们利益相关者的机构。为了最大限度地发挥我们计划的影响,我们将继续发展 我们与马萨诸塞州公共卫生部、ATSDR、EPA、NIEHS和 部落首领。麻省理工学院-SRP的所有活动都嵌入了本科生的培训机会, 研究生和博士后,从而支持下一代环境健康科学家。这个 由于工程师之间的多学科合作,麻省理工学院-SRP的影响预计将是巨大的, 生物医学研究人员、社区推广专业人员以及培训和翻译方面的专家。此外, 将开发的技术和方法可以在超级基金网站中广泛传播 还有其他地方。总而言之,麻省理工学院-SRP将降低风险、指导补救和支持 用于决策,从而对公共卫生产生直接和可衡量的影响。

项目成果

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{{ truncateString('Bevin P. Engelward', 18)}}的其他基金

Science and Engineering for Sensors, Mechanisms, and Biomarkers of Exposures
传感器、机制和暴露生物标志物的科学与工程
  • 批准号:
    10218466
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous Chemicals
麻省理工学院超级基金研究计划:保护人类健康免受危险化学品侵害的系统方法
  • 批准号:
    10351931
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Core A: Administrative Core
核心A:行政核心
  • 批准号:
    10351936
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Science and Engineering for Sensors, Mechanisms, and Biomarkers of Exposures
传感器、机制和暴露生物标志物的科学与工程
  • 批准号:
    10204398
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Armijo Diversity Supplement: Science and Engineering for Sensors, Mechanisms, and Biomarkers of Exposures (P42-ES0027707)
Armijo 多样性补充:传感器、机制和暴露生物标志物的科学与工程 (P42-ES0027707)
  • 批准号:
    10362337
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous Chemicals
麻省理工学院超级基金研究计划:保护人类健康免受危险化学品侵害的系统方法
  • 批准号:
    10687973
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Project 1: Assessment of the Health Effects of N-Nitrosamines and Development of Disease Mitigation Strategies
项目 1:N-亚硝胺对健康的影响评估和疾病缓解策略的制定
  • 批准号:
    10351932
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Science and Engineering for Sensors, Mechanisms, and Biomarkers of Exposures
传感器、机制和暴露生物标志物的科学与工程
  • 批准号:
    9922915
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Core A: Administrative Core
核心A:行政核心
  • 批准号:
    10688002
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:
Project 1: Assessment of the Health Effects of N-Nitrosamines and Development of Disease Mitigation Strategies
项目 1:N-亚硝胺对健康的影响评估和疾病缓解策略的制定
  • 批准号:
    10687974
  • 财政年份:
    2017
  • 资助金额:
    $ 22.25万
  • 项目类别:

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