Chronic Kidney Disease (CKD) Biomarkers Consortium Data Coordinating Center

慢性肾脏病 (CKD) 生物标志物联盟数据协调中心

• 批准号: 10020393
• 负责人: Sarah Jeanne Schrauben
• 金额: $ 64.54万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-18 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10020393
• 关键词: Address; Biological Assay; Biological Markers; Biometry; Cardiovascular Diseases; Chronic Kidney Failure; Clinical; Clinical Data; Clinical Treatment; Clinical Trials; Collaborations; Communication; Data; Data Coordinating Center; Data Set; Databases; Development; Disease Pathway; Disease Progression; Documentation; End stage renal failure; Enrollment; Epidemic; Event; Financial cost; Funding; Genomics; Geography; Grant; Healthcare Systems; Individual; Intervention; Laboratories; Leadership; Logistics; Meta-Analysis; Methodology; Morbidity - disease rate; Outcome; Outcome Measure; Patients; Phase; Pilot Projects; Proteomics; Protocols documentation; Quality Control; Randomized; Renal function; Reporting; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Science; Signal Transduction; Source; Structure; Teleconferences; Testing; United States; Validation; biomarker discovery; biomarker identification; biomarker panel; biomarker validation; cohort; collaborative environment; data exchange; data harmonization; data integration; design; effective intervention; epidemiology study; high risk; meetings; member; metabolomics; mortality; multidisciplinary; novel marker; prevent; programs; quality assurance; repository; study population; success; tool; treatment trial; web site

Project Summary The proposed Scientific and Data Coordinating Center (SDCC) for the Chronic Kidney Disease (CKD) Biomarkers Consortium (BioCon) will support the scientific development and implementation of a broad array of research protocols conducted by Participating Centers and pilot grant awardees within the Consortium. The BioCon SDCC will enhance biomarker science in CKD by providing expertise and leadership in epidemiological study design, biostatistics, laboratory science, stewardship of biosample resources drawn from geographically dispersed sources, and the collaborative implementation of protocols conducted by the diverse members of the BioCon research network. The specific aims proposed by the BioCon SDCC are to: 1) enhance biomarker research in CKD by providing scientific and laboratory leadership and coordination in the design and implementation of the four broad research protocols being implemented within the BioCon Network, 2) provide biostatistical expertise and leadership to optimize research designs, outcome measures and analytical approaches to investigate biomarker-outcome relationships through analysis of single cohort datasets and through meta-analyses that harmonize data across cohorts, 3) provide the biostatistical expertise and leadership to enable integration of data across the `omics' space (e.g., metabolomics, proteomics, genomics) for deeper understanding of biomarker-outcome relationships, 4) provide comprehensive administrative and logistical support for BioCon by promoting effective communication through the coordination and support of teleconferences, meetings, subcommittees, developing and managing documentation, maintaining a website for centralized resources, and preparing standard and special reports of BioCon activities, 5) coordinate and track the transfer of data and biospecimens between members of the Consortium and relevant laboratories and repositories, as well as to establish a comprehensive database of biospecimen attributes and biomarker data for approved research protocols, 6) promote network-wide quality assurance standards, practices and tools, and engage in quality control of biospecimen assays throughout the Consortium in close collaboration with the BioCon Quality Assurance Committee, and 7) continue to support the conduct of BioCon Pilot and Feasibility Projects and the integration of findings from these pilot studies into ongoing research within the Consortium.

项目摘要 拟建慢性肾脏病科学与数据协调中心(SDCC) 生物标记物联盟(Biocon)将支持科学开发和实施广泛的 由参与中心和联盟内的试点获奖者进行的研究方案。这个 Biocon SDCC将通过提供流行病学方面的专业知识和领导，加强CKD的生物标记物科学 研究设计、生物统计学、实验室科学、生物样本资源的管理 分散的来源，以及由委员会的不同成员合作执行的议定书 Biocon研究网络。Biocon SDCC提出的具体目标是：1)增强生物标记物 在CKD的研究中提供科学和实验室的领导和协调，在设计和 实施在Biocon网络内实施的四个广泛的研究协议，2)提供 生物统计学专业知识和领导力，以优化研究设计、结果衡量和分析 通过单队列数据集分析研究生物标记物-结果关系的方法 通过Meta分析协调各队列中的数据，3)提供生物统计学专业知识和 领导整个“组学”领域的数据整合(如新陈代谢组学、蛋白质组学、基因组学) 为了更深入地了解生物标记物-结果关系，4)提供全面的管理和 通过协调和支持促进有效沟通，为Biocon提供后勤支持 电话会议、会议、小组委员会、编写和管理文件、维护网站 对于集中的资源，并编写Biocon活动的标准和特别报告，5)协调和 跟踪联合体成员与相关实验室之间的数据和生物质谱学转让情况 储存库，以及建立生物样品属性和生物标记物数据的综合数据库 对于已批准的研究方案，6)促进全网质量保证标准、做法和工具， 并在整个联合体内与 Biocon质量保证委员会，并7)继续支持开展Biocon试点和可行性 项目，并将这些试点研究的结果纳入联盟内正在进行的研究中。

项目成果

Generative modeling for label-free glomerular modeling and classification

无标记肾小球建模和分类的生成模型

• DOI: 10.1117/12.2548757
• 发表时间: 2020
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Brendon Lutnick;Brandon G. Ginley;Kuang;Wen Dong;P. Sarder
• 通讯作者: P. Sarder

Dynamic prediction of competing risk events using landmark sub-distribution hazard model with multiple longitudinal biomarkers.

• DOI: 10.1177/0962280220921553
• 发表时间: 2020-11
• 期刊: Statistical methods in medical research
• 影响因子: 2.3

Neutrophil Extracellular Traps (NETs): An unexplored territory in renal pathobiology, a pilot computational study.

中性粒细胞胞外陷阱（NET）：肾脏病理学中一个未探索的领域，一项试点计算研究。

• DOI: 10.1117/12.2549340
• 发表时间: 2020
• 期刊: Proceedings of SPIE--the International Society for Optical Engineering
• 作者: Santo,BrianaA;Segal,BrahmH;Tomaszewski,JohnE;Mohammad,Imtiaz;Worral,AmberM;Jain,Sanjay;Visser,MichelleB;Sarder,Pinaki
• 通讯作者: Sarder,Pinaki

Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney.

• DOI: 10.1038/s41467-021-22368-w
• 发表时间: 2021-04-13
• 期刊: Nature communications
• 影响因子: 16.6
• 作者: Muto Y;Wilson PC;Ledru N;Wu H;Dimke H;Waikar SS;Humphreys BD
• 通讯作者: Humphreys BD

Association of Serum Amyloid A with Kidney Outcomes and All-Cause Mortality in American Indians with Type 2 Diabetes.

• DOI: 10.1159/000481269
• 发表时间: 2017
• 期刊: American journal of nephrology
• 影响因子: 4.2
• 作者: Saulnier PJ;Dieter BP;Tanamas SK;McPherson SM;Wheelock KM;Knowler WC;Looker HC;Meek RL;Nelson RG;Tuttle KR
• 通讯作者: Tuttle KR