Translational Pruritus Research (PRUSEARCH): Central Information Infrastructure, Centralized Biomaterial and Machine Learning Analyses

转化性瘙痒症研究 (PRUSEARCH)：中央信息基础设施、集中生物材料和机器学习分析

• 批准号: 399448079
• 负责人: Professor Dr. Martin Dugas
• 金额: --
• 依托单位: Institut für Medizinische Informatik
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/399448079?language=en
• 关键词: Translational; Pruritus; Research; PRUSEARCH; Central

Research projects and collaborative groups that involve multiple institutes are of great importance to answer key questions of complex diseases. When different basic research approaches meet patient oriented projects and if the latter ones include different perspectives, questionnaires and examinations, it becomes even more complex. Such a comprehensive approach is the fundament of the research unit PRUSEARCH and was successful by close collaboration and thorough coordination. Stand-alone research units are often not able to manage structure and logistics involved in combining multidisciplinary data, interoperability methods and biomaterial processing. Being a platform project, this project (#Z) has supported the other subprojects to overcome these challenges, pool expertise and reducing parallel expenditures.We will continue to provide and manage a central information infrastructure by building an up-to-date flexible and data protection legislation conform data capture system connected to a consented project space within a centralized database. It includes automatic integration and pseudonymization of multiple clinical data, questionnaire responses and standardized functional characterizations. Furthermore the homepage (www.prusearch.net) will be extended both regarding the publicly accessible and the research group internal private section. The internal section provides access to the database for each project. Harmonized standard operation procedures (SOPs) will be enhanced and updated. Central biomaterial analyses for skin biopsies of all-center recruited patients with chronic pruritus and their controls will be continued and enhanced. Material exchange between research unit partners will be coordinated by #Z, including combined use of biopsies from the same patient in different projects. Furthermore, #Z will provide basic material analysis such as dermatohistopathologic and molecular characterization of material and centralized high-throughput mRNA-sequencing and microbiome analysis. Finally #Z will provide the information infrastructure for intelligent data capture and perform centralized bioinformatics analysis of these data. The complexity of the datasets will be addressed applying machine learning analyses.Coordination, harmonization of protocols and methods, actual handling of biomaterials and bioinformatics within the consortium, including state-of-the-art machine learning methods, requires a central project which will allow achievement of the additional value aimed to in this consortium.

涉及多个研究所的研究项目和合作小组对于回答复杂疾病的关键问题非常重要。当不同的基础研究方法遇到以患者为导向的项目时，如果后者包括不同的观点，问卷调查和检查，它变得更加复杂。这种全面的方法是研究单位PRUSESTRUCTURE的基础，并通过密切合作和全面协调取得了成功。独立的研究单位往往无法管理多学科数据、互操作性方法和生物材料处理相结合所涉及的结构和后勤工作。作为一个平台项目，该项目（#Z）支持其他子项目克服这些挑战，汇集专门知识和减少并行支出。我们将继续提供和管理中央信息基础设施，建立一个最新的灵活和符合数据保护立法的数据采集系统，连接到中央数据库内的同意项目空间。它包括多个临床数据的自动集成和系统化、问卷调查和标准化功能表征。此外，主页（www.prusearch.net）将扩大公开访问和研究小组内部私人部分。内部部分为每个项目提供了对数据库的访问。将加强和更新统一的标准作业程序。将继续并加强对所有中心招募的慢性瘙痒症患者及其对照的皮肤活检的中心生物材料分析。研究单位合作伙伴之间的材料交换将由#Z协调，包括在不同项目中合并使用同一患者的活检。此外，#Z将提供基本的材料分析，如材料的皮肤组织病理学和分子表征以及集中的高通量mRNA测序和微生物组分析。最后，#Z将为智能数据捕获提供信息基础设施，并对这些数据进行集中的生物信息学分析。数据集的复杂性将通过机器学习分析来解决。协议和方法的协调、统一、联盟内生物材料和生物信息学的实际处理，包括最先进的机器学习方法，需要一个中心项目，该项目将允许实现该联盟的附加价值。