Johns Hopkins Rheumatic Diseases Resource-based Core Center

整体 项目摘要 约翰霍普金斯大学流变学部的一个永恒的哲学观点是， 了解人类自身免疫性风湿病的关键途径是通过这项研究， 大量明确的患者，随着时间的推移，收集丰富的 表型数据，绘制疾病轨迹，并在可能的情况下，获取和存储相关的 血液和目标组织中的生物材料。然后，这个数据和样本存储库可以 用于将异质诊断组分离成更同质的亚组， 使用涵盖整个调查范围的工具。这款P30将专注于提供 组织（监督、管理）、业务（征聘、抽样、 处理），测量和分析（统计，计算和综合）专业知识 以实现有效的临床和转化研究。 霍普金斯RDRCC竞争性续约包括一个由以下人员领导的行政核心（核心A） Drs.罗森和宾厄姆，并包括3个科学核心：（一）核心B是研究 管理和患者综合数据（RAPID）核心，由Bingham博士领导;（ii）核心C是 样品处理和免疫测定研究（SPIRE）核心，由Casciola-Rosen博士领导 Core D是数据科学核心，由Scott Zeger博士领导。该中心是 以矩阵的形式构建，旨在通过最大化 不同的研究社区对风湿性关节炎患者数据和样本的访问 疾病核心A将在整个研究过程中促进高效的跨学科研究 社区和核心，并管理丰富计划。核心项目B将促进以下研究： 人类风湿性疾病，通过提供研究管理和监督功能， 加强与Epic EHR的研究整合，并实现以患者为中心的结果 research.核心C将在患者样本采集、处理和储存方面提供协助 和分销，以及提供多种免疫学检测， 生物标志物和疾病途径的验证。核心D将提供高度创新的工具， 能够分析风湿性疾病患者的复杂纵向数据，特别是 贝叶斯分层模型的设计和应用，以确定疾病子集。

Overall PROJECT SUMMARY One of the abiding philosophies of the Johns Hopkins Division of Rheumatology is that the critical pathway to understanding human autoimmune rheumatic diseases is through the study of large numbers of well-defined patients, followed over time, with the collection of rich phenotypic data, mapping disease trajectory, and where possible, acquiring and storing relevant biological materials from blood and target tissue. This repository of data and samples can then be used to separate heterogeneous diagnostic groups into more homogeneous subgroups, using tools that span the entire spectrum of investigation. This P30 will focus on providing the framework for organizational (oversight, management), operational (recruitment, sampling, processing), measurement and analytical (statistical, computational, and integrative) expertise to enable effective clinical and translational research. The Hopkins RDRCC competitive renewal comprises an Administrative Core (Core A) led by Drs. Rosen and Bingham, and includes 3 scientific Cores: (i) Core B is the Research Management and Patient Integrated Data (RAPID) Core, led by Dr. Bingham; (ii) Core C is the Sample Processing and Immunoassay Research (SPIRE) Core, led by Drs. Casciola-Rosen and Soloski; and Core D is the Data Science Core, led by Dr. Scott Zeger. The Center is structured as a matrix, designed to foster collaborative and synergistic discovery by maximizing access of the diverse research community to data and samples from humans with rheumatic diseases. Core A will promote efficient, interdisciplinary research throughout the research community and Cores, and manage the enrichment program. Core B will facilitate studies on humans with rheumatic diseases, by providing research management and oversight functions, enhancing research integration with the Epic EHR, and enable patient-centered outcome research. Core C will provide assistance with patient sample acquisition, processing, storage and distribution, as well as provision of multiple immunological assays for discovery and validation of biomarkers and disease pathways. Core D will provide highly innovative tools to enable analysis of complex longitudinal data in rheumatic disease patients, particularly with the design and application of Bayesian hierarchical models to identify disease subsets.