Mount Sinai HHEAR Network Targeted Lab Hub

总体项目总结/摘要 西奈山伊坎医学院将利用我们在环境方面的研究专长， 流行病学，分析化学和临床实践，以更新我们的人类健康暴露分析 资源（HHEAR）实验室网络中心（在赠款周期1中以前称为“CHEARS”）。我们将测量 有针对性的化学品暴露在所有生命阶段，以帮助美国国立卫生研究院资助的研究人员确定 环境影响人类的健康、发展和整个生命周期的疾病风险。在过去的三年里，我们 扩大了我们的实验室资源，包括液体处理器，以自动化样品制备/等分， 与数据科学家合作，自动化数据处理，以加快我们的工作节奏。此外，我们还加倍 质谱仪的数量从7个增加到14个，并聘请了更多的教师，所有这些都是为了这次更新做准备。 应用程序.我们将利用我们大量的机构投资，包括我们新的3000万美元， 为HHEAR实验室网络及其NIH研究人员客户提供服务。我们的目标 资源将分析常见的接触生物标志物（金属、农药、阻燃剂、内分泌干扰物） 化学品、烟草代谢物、维生素、营养状况、矿物质和其他有机化合物）使用 国家的最先进的分析方法，同时开发新的生物标志物的化学接触的基础上， 我们客户的需求。我们将进一步加强我们在CHEMICAL的工作，在CHEMICAL中，我们创建了一套 可定制的面板，便于研究复杂的化学混合物。我们的发展核心将建立 该公司在创造新方法以测量当前和过去的化学品暴露方面取得了非常成功的工作， 新的生物基质（如牙齿、头发、干血斑、胎盘），并开发新的检测方法， 来自HHEAR的非目标和环境资源的点击。这个团队已经开发出了 客观地重建过去的化学品暴露，并确定与人类相关的敏感性窗口 健康在长沙我们的行政核心将协调所有内部的规划和沟通 集线器组件以及外部的HHEAR协调中心、数据中心和其他HHEAR 网络中心。在内部，行政核心将简化和优先考虑HHEAR工作，评估分析 需要，促进和传播新的检测方法，协调协议和QA/QC 并协调日常运营。我们的中心将建议申请人的样品要求， 样本质量、结果解读、样本收集、储存方案和样本运输规范 引导他们接触最新和最具创新性的环境健康科学。如果 必要时，我们将联系具有分析能力/专业知识的外部实验室，这些实验室不属于我们的实验室。 实验室中心。总之，这项建议将经验丰富的环境卫生科学家与医生联系起来， 毒理学家、压力研究人员、化学家、暴露科学家、流行病学家和计算机科学家， 建立客观衡量人类环境的基础设施和能力。

Overall PROJECT SUMMARY/ABSTRACT The Icahn School of Medicine at Mount Sinai will leverage our research expertise in environmental epidemiology, analytical chemistry and clinical practice to renew our Human Health Exposure Analysis Resource (HHEAR) Laboratory Network Hub (formerly known as “CHEAR” in grant cycle 1). We will measure targeted chemical exposures across all life stages to help NIH funded researchers determine how the environment affects human health, development and risk of disease across the life span. In the last 3 years we have expanded our laboratory resources to include liquid handlers to automate sample prep/aliquoting and worked with data scientist to automate data processing to speed the pace of our jobs. In addition we doubled the number of mass spectrometers from 7 to 14 and hired additional faculty all in preparation for this renewal application. We will leverage our substantial institutional investments, including our new 30 million dollar Institute for Exposomics, to serve the HHEAR Lab network and its NIH researcher clients. Our targeted resource will analyze common exposure biomarkers (metals, pesticides, flame retardants, endocrine disrupting chemicals, tobacco metabolites, vitamins, nutritional status, minerals, and other organic compounds) using state-of-the-art analytical methodologies, while developing new biomarkers of chemical exposure based on the needs of our NIH clients. We will further build upon our work in CHEAR in which we created a suite of customizable panels that facilitate research in complex chemical mixtures. Our Developmental core will build upon its highly successful work in creating novel methods to measure current and past chemical exposures in novel biological matrices (e.g. teeth, hair, dried blood spots, placenta) and develop new assays that arise from hits from HHEAR's untargeted and environmental resources. This team already developed methods to objectively reconstruct past chemical exposures and identify susceptibility windows as they relate to human health in CHEAR. Our Administrative Core will coordinate planning and communication internally among all Hub components and externally with the HHEAR Coordinating Center, Data Center and the other HHEAR Network Hubs. Internally, the Administrative Core will streamline and prioritize HHEAR jobs, assess assay needs, promote and disseminate new assays as they are developed, harmonize protocols and QA/QC procedures and coordinate day to day operations. Our Hub will advise applicants on sample requirements, sample quality, results interpretation, sample collection, storage protocols and sample shipping specifications guiding them to exposures that fit the most up to date and innovative environmental health science. If necessary we will outreach to outside laboratories with analytic capabilities/expertise that do not reside in our Lab Hub. In conclusion, this proposal links highly experienced environmental health scientists with physicians, toxicologists, stress researchers, chemists, exposure scientists, epidemiologists, and computer scientists to build the infrastructure and capacity to objectively measure human environments.