Mount Sinai HHEAR Network Targeted Lab Hub

总体项目摘要/摘要 位于西奈山的伊坎医学院将利用我们在环境保护方面的研究专长 流行病学、分析化学和临床实践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“CHEAR”)。我们将衡量 所有生命阶段的有针对性的化学暴露，以帮助NIH资助研究人员确定 环境影响人类的健康、发展和一生中的疾病风险。在过去的三年里，我们 扩大了我们的实验室资源，包括液体处理机，使样品准备/等分自动化，并 与数据科学家合作，使数据处理自动化，以加快我们的工作步伐。此外，我们还翻了一番 质谱仪的数量从7个增加到14个，并聘请了额外的教员，所有这些都是为了准备这次更新 申请。我们将利用我们的大量机构投资，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。我们的目标是 资源将分析常见的暴露生物标志物(金属、杀虫剂、阻燃剂、内分泌干扰 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 最先进的分析方法，同时开发新的化学暴露生物标志物 我们NIH客户的需求。我们将在CHEAR工作的基础上进一步发展，在该工作中，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 在创造新的方法来测量当前和过去的化学暴露方面取得了非常成功的工作 新的生物基质(例如牙齿、头发、干血斑点、胎盘)，并开发新的检测方法 来自HHEAR的无目标和环境资源的命中。这个团队已经开发了一些方法来 客观地重建过去的化学暴露并确定与人类有关的易感窗口 切尔的健康。我们的行政核心将协调所有部门之间的内部规划和沟通 HUB组件和外部与HHEAR协调中心、数据中心和其他HHEAR 网络枢纽。在内部，行政核心将精简HHEAR工作并确定其优先顺序，评估分析 需要、推广和传播新的分析方法，协调方案和QA/QC 制定程序并协调日常运作。我们的中心将就样品要求向申请者提供建议， 样品质量、结果解释、样品采集、储存协议和样品运输规范 引导他们接触到符合最新和创新的环境健康科学。如果 有必要，我们将与具有分析能力/专业知识的外部实验室进行接触，这些实验室不在我们的 实验室中心。总而言之，这项提案将经验丰富的环境健康科学家与医生联系起来， 毒物学家、应激研究人员、化学家、接触科学家、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.