Central Hub for Kidney Precision Medicine - Data Visualization Center

肾脏精准医学中心中心 - 数据可视化中心

• 批准号: 10218147
• 负责人: Matthias Kretzler
• 金额: $ 129.9万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-15 至 2022-09-19
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10218147
• 关键词: 3-Dimensional; Acute Renal Failure with Renal Papillary Necrosis; Address; Affect; Atlases; Biomedical Research; Categories; Cells; Characteristics; Charge; Chronic Kidney Failure; Clinical Management; Clinical Trials; Communication; Communities; Community Networks; Complex; Computer software; Data; Data Aggregation; Data Coordinating Center; Data Set; Development; Differential Equation; Disease; Disease Management; Environment; Gene Expression; Generations; Goals; Grouping; Image; Interdisciplinary Study; Intuition; Kidney; Kidney Diseases; Knowledge; Location; Maps; Medical Genetics; Meta-Analysis; Modeling; Molecular; Needle biopsy procedure; Nephrology; Nephrons; Ontology; Organ; Outcome; Patient Rights; Patients; Pattern; Pattern Recognition; Plant Roots; Principal Investigator; Quality Control; Renal Tissue; Research; Resolution; Resources; Sampling; Science; Series; Services; Site; Source; Standardization; Statistical Models; Structure; Technology; Time; Tissue Procurements; Tissues; Visual; Visualization; base; cell type; clinical Diagnosis; cohort; data exploration; data harmonization; data integration; data modeling; data visualization; design; digital pathology; digital repositories; disease heterogeneity; diverse data; experience; individual patient; innovation; insight; kidney biopsy; metadata standards; molecular imaging; novel; open source; outreach; pathology imaging; patient stratification; precision medicine; programs; reconstruction; repository; spatiotemporal; success; tool; usability; vector; web platform; web site

Project Summary Patients with renal disease have seen very limited progress in disease management over the last two decades. A key reason for our inability to impact the outcomes in our patients is the lack of insight into the underlying disease mechanism in a given patient. Renal diseases are still largely group by descriptive disease categories, lumping patients with different underlying mechanism of nephron damage together. These heterogeneous disease causes impact not only clinical management, but also clinical trials outcomes. With the advances in biomedical research we have now the opportunity to obtain detailed mechanistic insight into disease mechanism active in our patients to guide our clinical management and experimental trials towards precision medicine. The Kidney Precision Medicine Project (KPMP) offers the unique opportunity to integrate the efforts in our community towards the goal of the right treatment for the right patient at the right time The overarching objective of the Data Visualization Core (DVC) in the Central Hub (CH) of the KPMP is to enable optimal scientific exploration of the KPMP data sets for tissue based patient stratification. The KPMP takes advantage of a unique feature of renal disease, the access to the endorgan affected by percutaneous needle biopsy. The tissue procurement sites in the KPMP will establish novel cohorts of patients with Acute Kidney Injury and Chronic Kidney Disease, and provide samples and data via the Data Coordinating Center of the CH to the tissue interrogation sites for generation of comprehensive renal tissue and disease profiles. The DVC will be the central integration engine, charged to capture, standardize, annotated, integrated, model and map highly diverse data sets into healthy and disease kidney tissue. These data and their complex interactions will be presented to the global renal research community in an intuitive manner in a suite of tools to serve as the core knowledge network for the KPMP program and the global renal research community. To reach this goal the DVC has assembled an experience, multidisciplinary research team with a long standing track record in integrative team science efforts for precision medicine in renal disease.

项目概要 过去二十年来，肾病患者在疾病管理方面取得的进展非常有限。 我们无法影响患者治疗结果的一个关键原因是缺乏对潜在因素的深入了解 特定患者的疾病机制。肾脏疾病仍然主要按描述性疾病类别进行分组， 将具有不同肾单位损伤潜在机制的患者集中在一起。这些异类 疾病原因不仅影响临床管理，还影响临床试验结果。随着技术的进步 生物医学研究我们现在有机会获得对疾病的详细机制的了解 在我们的患者中活跃的机制，指导我们的临床管理和实验试验走向精确 药品。肾脏精准医学项目 (KPMP) 提供了整合各方努力的独特机会 我们社区的目标是在正确的时间为正确的患者提供正确的治疗 KPMP 中央中心 (CH) 中数据可视化核心 (DVC) 的总体目标是 实现对 KPMP 数据集进行最佳科学探索，以进行基于组织的患者分层。毕马威会计师事务所 利用肾脏疾病的独特特征，即经皮影响内脏器官的通路 针吸活检。 KPMP 中的组织采购站点将建立新的急性患者队列 肾损伤和慢性肾脏病，并通过数据协调中心提供样本和数据 CH 到组织询问位点，以生成全面的肾组织和疾病概况。这 DVC 将成为中央集成引擎，负责捕获、标准化、注释、集成、建模和 将高度多样化的数据集映射到健康和患病的肾组织中。这些数据及其复杂的相互作用 将通过一套工具以直观的方式呈现给全球肾脏研究界，作为 KPMP 项目和全球肾脏研究界的核心知识网络。 为了实现这一目标，DVC 组建了一支经验丰富的多学科研究团队， 在肾脏疾病精准医学的综合团队科学努力方面有着良好的记录。