Exposome Correlation and Interpretation Database (ECID)

暴露组相关性和解释数据库 (ECID)

• 批准号: 10714374
• 负责人: Dinesh Barupal
• 金额: $ 81.39万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-11 至 2028-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10714374
• 关键词: Advisory Committees; Affect; Atlases; Biochemical; Biochemical Pathway; Biochemical Reaction; Bioinformatics; Biological Assay; Biological Markers; Biological Monitoring; Blood; Carcinogens; Cardiovascular Diseases; Catalogs; Chemical Exposure; Chemical Industry; Chemicals; Communities; Complement; Data; Data Analyses; Data Analytics; Data Provenance; Data Set; Databases; Development; Disease; Endocrine Disruptors; Engineering; Ensure; Environmental Exposure; Enzymes; Exposure to; Genes; Genome; Graph; Health; Human; Human body; Industrialization; Laboratories; Link; Liquid Chromatography; Literature; Malignant Neoplasms; Maps; Mass Fragmentography; Mass Spectrum Analysis; MeSH Thesaurus; Measures; Metabolic; Metabolic Pathway; Methods; National Health and Nutrition Examination Survey; Nutrient; Ontology; Pathway interactions; Pharmaceutical Preparations; Population; Publishing; Reaction; Research; Research Personnel; Resolution; Resource Informatics; Resources; Respiratory Disease; Risk Factors; Source; Surveys; United States National Institutes of Health; Validation; Work; Xenobiotics; analytical method; cheminformatics; commensal microbes; community engagement; data centers; data exploration; data resource; hazard; host microbiota; insight; instrument; knowledgebase; metabolome; metabolomics; nervous system disorder; novel; programs; prototype; repository; small molecule; text searching; tool; trustworthiness; tumor progression; user-friendly; validation studies; web portal; working group

Project summary: In the human body, the small molecule chemical space originates from 1) the exposome( natural or synthetic exogenous compounds) and the metabolome (functional readout of metabolic pathways of host and commensal microbiota genomes). Studying this chemical space has provided new insights into the initiation and progression of cancer, neurological, cardiovascular and respiratory diseases and biomarkers for exposures to industrial chemicals, nutrients, drugs and bioactive internal molecules. Targeted biomonitoring and untargeted chemical analysis assays generate core datasets for exposomics projects to study the chemical space and its impact on human health. Inter-chemical correlations are ubiquitously observed in these core datasets. However, interpretation of these correlations has been limited to metabolic pathway and reaction contexts which do not cover the origin, source, transformation and interaction among exposome chemicals. We propose to develop the Exposome Correlation and Interpretation Database (ECID), a new biomedical knowledgebase that will systematically catalogue and curate inter-chemical correlations and their interpretation for the core datasets in exposomics. ECID will have three main informatics resources 1) Chemical Correlation Database (CCDB), a curated, trustworthy, and FAIR compliance database of inter- chemical correlations from biomonitoring and untargeted chemical analysis assays (aim1). In the prototype version, 56 datasets have been included and by end of the project, over 250 datasets (human-only) will be covered by the CCDB. We will curate the inter-chemical correlations that are observed across multiple studies. 2) Exposome Data Interpretation Resource (EDIR), an integrated database of structural and functional relationships among chemicals (aim 2). Aim 2 will utilize text mining, cheminformatics, database fusion, ontologies and chemical network mapping methods to create an atlas of functional and structural relationships among exposome chemicals. EDIR will be used for annotating curated inter-chemical correlations with plausible interpretations. and 3) Exposome WorkSpace, an online space to explore the CCDB and EDIR information and to interpret user-provided datasets (aim 3). We will re-engineer the established data exploration and analytics methods to provide an integrated, focused and relevant framework for exploring inter- chemical correlations in core exposomics datasets. ECID portal will provide self-guided tutorials and online data exploration tools for the exposomics and metabolomics researchers. ECID will leverage and complement the HHEAR program's data center, targeted and untargeted laboratory components at the Mount Sinai Exposomics Hub. We will utilize HHEAR studies (post-embargo) as validation studies to showcase the application of ECID in exposome research. ECID will make significant contributions towards expanding our understanding about small molecules chemical space within the human body by revealing exposure chemical's health effects, new metabolic and xenobiotic transformation pathways, and exposure groups.

项目总结： 在人体内，小分子化学空间起源于1)曝光体(天然的或合成的 外源化合物)和代谢体(寄主和 共生微生物群基因组)。研究这个化学空间为我们提供了对宇宙起源的新见解。 癌症、神经疾病、心血管疾病和呼吸系统疾病的进展以及 接触工业化学品、营养素、药物和生物活性内部分子。靶向生物监测 非靶向化学分析分析为暴露组学项目生成核心数据集，以研究 化学空间及其对人类健康的影响。化学间的相互作用在这些物质中被普遍观察到 核心数据集。然而，对这些相关性的解释仅限于代谢途径和 未涵盖曝光体之间的起源、来源、转换和相互作用的反应上下文 化学制品。我们建议开发一个新的Exposome关联和解释数据库(ECID) 生物医学知识库，将系统地编目和管理化学间的相互关系及其 暴露组学中核心数据集的解释。ECID将拥有三个主要的信息资源1) 化学相关数据库(CCDB)，一个经过精心策划的、值得信赖的和公平的合规性数据库 生物监测和非靶标化学分析分析的化学相关性(AIM1)。在原型中 版本，已包括56个数据集，到项目结束时，将有超过250个数据集(仅供人类使用) 由CCDB负责。我们将整理在多项研究中观察到的化学间相关性。 2)Exposome数据解释资源(EDIR)，结构和功能的综合数据库 化学品之间的关系(目标2)。目标2将利用文本挖掘、化学信息学、数据库融合、 创建功能和结构关系图谱的本体论和化学网络映射方法 在暴露的化学物质中。EDIR将用于注释经过策划的化学间关联 似是而非的解释。3)Exposome工作区，一个探索CCDB和EDIR的在线空间 提供信息并解释用户提供的数据集(目标3)。我们将重新设计已建立的数据 探索和分析方法，提供一个综合的、有重点的和相关的框架，以探索相互之间的关系 核心暴露组学数据集中的化学相关性。ECID门户网站将提供自学教程和在线 暴露组学和代谢组学研究人员的数据探索工具。ECID将利用和补充 HHEAR计划的数据中心，位于西奈山的定向和非定向实验室组件 世博经济学中心。我们将利用HHEAR研究(禁运后)作为验证研究，以展示 ECID在曝光组研究中的应用ECID将为扩大我们的 通过揭示暴露的化学物质来理解人体内的小分子化学空间 对健康的影响，新的代谢和异物转化途径，以及暴露人群。