Johns Hopkins Rheumatic Diseases Resource-based Core Center (Johns Hopkins RDRCC)

概述 项目摘要 约翰霍普金斯流变学分部的永恒哲学是， 了解人类自身免疫性风湿性疾病是通过研究大量明确的 患者，随着时间的推移，收集丰富的表型数据，绘制疾病轨迹， 从血液和目标组织中获取和储存相关生物材料。此存储库 然后，可以使用大量的数据和样本将异质性诊断组分离为更同质的诊断组， 小组，使用跨越整个调查范围的工具。P30提供了以下框架： 组织（监督、管理）、操作（招聘、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翻译 research. RDRCC竞争性更新包括由安东尼博士领导的行政核心（核心A） 罗森和克利夫顿宾厄姆，并包括3个科学核心：（i）核心B是精准医学数据 整合核心，由Bingham博士和Ami Shah博士共同领导;（ii）核心C是样品处理和 免疫分析研究（SPIRE）核心，由Livia Casciola-Rosen博士和Erika Darrah博士共同领导;以及核心D 是由Scott Zeger博士领导的数据科学核心。该中心的结构是一个矩阵，旨在促进 通过最大限度地使不同的研究群体获得数据， 从患有风湿性疾病的人身上提取的样本。核心A将促进高效的跨学科研究 在整个研究社区和核心，并管理丰富的计划。核心B将与 我们的卓越中心将其研究业务纳入约翰霍普金斯精准医学 分析平台（PMAP）通过Epic电子医疗增强临床和研究整合 记录系统核心C将协调患者样本的处理、储存和分发，并提供多种 用于发现和验证生物标志物和疾病途径的免疫学测定。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， 特别是在设计和应用分级模型以识别疾病亚群方面。

Overview PROJECT SUMMARY The abiding philosophy 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 provides 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 RDRCC competitive renewal comprises an Administrative Core (Core A) led by Drs. Antony Rosen and Clifton Bingham, and includes 3 scientific Cores: (i) Core B is the Precision Medicine Data Integration Core, co-led by Dr. Bingham and Dr. Ami Shah; (ii) Core C is the Sample Processing and Immunoassay Research (SPIRE) Core, co-led by Dr. Livia Casciola-Rosen and Dr. Erika Darrah; 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 work with our Centers of Excellence to bring their research operations onto the Johns Hopkins Precision Medicine Analytical Platform (PMAP) enhancing clinical and research integration through the Epic electronic medical record system. Core C will coordinate patient sample processing, storage and distribution, and provide 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 hierarchical models to identify disease subsets.