Central Hub for Kidney Precision Medicine

肾脏精准医学中心中心

基本信息

批准号：
10218144
负责人：
Jonathan Himmelfarb
金额：
$ 428.62万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
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/10218144
关键词：
Acute Renal Failure with Renal Papillary Necrosis Affect Atlases Basic Science Biomedical Research Biometry Cells Chronic Kidney Failure Clinical Clinical Data Clinical Sciences Collaborations Communication Communities Data Data Analyses Data Coordinating Center Development Disease Disease Progression Ecosystem Elements Ensure Environment Epidemiology Feedback Funding Genomics Goals Infrastructure Institution Internal Medicine Kidney Kidney Diseases Lead Leadership Length of Stay Location Michigan Modernization Nephrology Organ Pathway interactions Patients Pharmaceutical Preparations Policies Prevention Principal Investigator Procedures Public Health Publishing Quality Control Quality of life Randomized Clinical Trials Renal function Renal glomerular disease Renin-Angiotensin System Research Research Personnel Resources Sampling Science Shapes Structure Therapeutic Tissues Translating Translational Research Universities Vision Washington biomedical informatics collaboratory data access data sharing data visualization disorder subtype epigenomics experience improved inhibitor/antagonist innovation instrumentation interdisciplinary collaboration interest medical schools medical specialties member mortality multidisciplinary network informatics new therapeutic target patient safety precision medicine programs research study scientific organization success web site willingness working group

项目摘要

ABSTRACT A major challenge for modern biomedical research has been the relative inability to translate the increasing rate of scientific discovery into major therapeutic breakthroughs. This shortcoming has been particularly dramatic in kidney diseases, where the number of randomized clinical trials published in nephrology is fewer than all other specialties of internal medicine. chronic kidney disease (CKD) is a public health problem affecting more than 20 million people in the US, few drugs other than inhibitors of the renin-angiotensin system have been proven to slow CKD progression, lower mortality rates, or improve quality of life. Acute kidney injury (AKI) affects up to 10% of all hospitalized patients in the US, and is associated with mortality, prolonged hospital length of stay, and subsequent development or progression of CKD. Currently there is no accepted therapeutic approach to either prevention or amelioration of the course of AKI There is a critical need to help define CKD and AKI disease subgroups and identify critical cells, pathways and targets for novel therapies. We propose to establish a multiscale understanding of CKD and AKI, by integrating clinical data with the cell and organ level features of kidney disease progression including interrogation of genomic and epigenomic drivers of disease. We plan to build the Kidney Precision Medicine Project Central Hub on strong existing infrastructure led by a highly experienced, multidisciplinary team with a strong track record of success. The overarching objective of this Central Hub application for the KPMP is to create an environment to promote scientific rigor, patient safety, and the successful interdisciplinary team science necessary to result in major advances in kidney disease research. In order to accomplish this, we have assembled a team with expertise in data coordinating center management, programming, biostatistics, biomedical informatics, and epidemiology, with over 25 years of experience coordinating highly successful large-scale longitudinal research studies. Our investigative team was instrumental in establishing a global renal research ecosystem, and has pioneered development of a team science structure to advance a precision medicine approach to glomerular diseases. We have demonstrated our ability to 1) collect, curate, aggregate and ensure quality control of all KPMP data and samples, 2) coordinate storage and distribution of all KPMP data and samples, 3) facilitate data analyses and visualization, 4) create a kidney tissue atlas, 5) provide administrative support and establish necessary working groups, 6) solicit patient input and feedback, 7) develop and manage a website for internal and external communication, analysis and discovery, and 8) administer an Opportunity Pool of funds to form new partnerships.

抽象的现代生物医学研究的一个主要挑战是相对无法转化科学发现转化为重大治疗突破的速度不断提高。这个缺点有在肾脏疾病中尤其引人注目，其中随机临床试验的数量肾脏病学领域发表的论文少于内科所有其他专业。慢性肾病慢性肾病 (CKD) 是一个影响美国超过 2000 万人的公共卫生问题，药物很少除了肾素-血管紧张素系统抑制剂已被证明可以减缓 CKD 进展之外，降低死亡率，或提高生活质量。急性肾损伤 (AKI) 影响高达 10% 在美国住院的患者，与死亡率、住院时间延长、以及 CKD 的后续发展或进展。目前尚无公认的治疗方法预防或改善 AKI 病程的方法迫切需要提供帮助定义 CKD 和 AKI 疾病亚组，并确定关键细胞、途径和靶标，以开发新的药物疗法。我们建议通过整合来建立对 CKD 和 AKI 的多尺度理解肾脏疾病进展的细胞和器官水平特征的临床数据，包括询问疾病的基因组和表观基因组驱动因素。我们计划打造肾脏精密医学项目中心枢纽拥有强大的现有基础设施，由经验丰富、多学科团队拥有良好的成功记录。本次活动的总体目标是 KPMP 的中央枢纽应用程序旨在创造一个促进科学严谨、耐心的环境安全性和成功的跨学科团队科学是取得重大进展所必需的肾脏疾病研究。为了实现这一目标，我们组建了一支具有以下专业知识的团队数据协调中心管理、编程、生物统计学、生物医学信息学和流行病学，拥有超过 25 年协调非常成功的大规模纵向研究。我们的研究团队在建立全球肾病研究方面发挥了重要作用研究生态系统，并率先开发了团队科学结构，以推进肾小球疾病的精准医学方法。我们已经展示了我们的能力：1）收集，策划、汇总并确保所有 KPMP 数据和样本的质量控制，2) 协调存储所有 KPMP 数据和样本的分发，3) 促进数据分析和可视化，4) 创建肾脏组织图谱，5) 提供行政支持并建立必要的工作小组，6) 征求患者的意见和反馈，7) 开发和管理一个网站，供内部和外部沟通、分析和发现，以及 8) 管理机会池资金建立新的伙伴关系。

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Near-Single-Cell Proteomics Profiling of the Proximal Tubular and Glomerulus of the Normal Human Kidney.

DOI：
10.3389/fmed.2020.00499
发表时间：
2020
期刊：
Frontiers in medicine
影响因子：
3.9
作者：
Sigdel TK;Piehowski PD;Roy S;Liberto J;Hansen JR;Swensen AC;Zhao R;Zhu Y;Rashmi P;Schroeder A;Damm I;Sur S;Luo J;Yang Y;Qian WJ;Sarwal MM;Kidney Precision Medicine Project (KPMP) Consortium
通讯作者：
Kidney Precision Medicine Project (KPMP) Consortium

PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool.

DOI：
10.1016/j.ekir.2022.03.004
发表时间：
2022-06
期刊：
KIDNEY INTERNATIONAL REPORTS
影响因子：
6
作者：
Santo, Briana A.;Govind, Darshana;Daneshpajouhnejad, Parnaz;Yang, Xiaoping;Wang, Xiaoxin X.;Myakala, Komuraiah;Jones, Bryce A.;Levi, Moshe;Kopp, Jeffrey B.;Yoshida, Teruhiko;Niedernhofer, Laura J.;Manthey, David;Moon, Kyung Chul;Han, Seung Seok;Zee, Jarcy;Rosenberg, Avi Z.;Sarder, Pinaki
通讯作者：
Sarder, Pinaki

3D virtual reality vs. 2D desktop registration user interface comparison.