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Integrated Omics Analysis of Pain: Omics Data Generation Center

疼痛的综合组学分析：组学数据生成中心

基本信息

批准号：
10231092
负责人：
TIMOTHY D HOWARD
金额：
$ 152.28万
依托单位：
WAKE FOREST UNIVERSITY HEALTH SCIENCES
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10231092
关键词：
Acute Acute Pain Biological Blood specimen California Clinical assessments Collaborations DNA Methylation Data Data Set Development Epigenetic Process Generations Goals Health Sciences Institution Knowledge Lead Mediating Methods Molecular Molecular Profiling Operative Surgical Procedures Pain Pain management Participant Proteomics RNA Research Personnel Resources SNP genotyping Scientist Shipping Technical Expertise Technology Trauma Trauma patient United States National Institutes of Health Universities biomarker signature chronic pain chronic pain patient clinical center cohort data exchange data integration data resource experience extracellular forest genetic signature genetic variant high throughput analysis large scale data lipidomics medical schools metabolomics monocyte musculoskeletal injury predictive signature programs sample collection tissue injury treatment strategy

项目摘要

SUMMARY Acute pain, usually triggered by tissue injury, such as trauma or surgery, can lead to long-term persistent chronic pain, a debilitating condition that requires extensive treatment and pain management. Interestingly, the molecular basis of this transition from acute to chronic pain is poorly understood, and this lack of knowledge impedes the development of better treatment strategies for patients with chronic pain. Several recent studies have begun to explore underlying genetic and molecular signatures of the conversion to chronic pain, but clearly, additional efforts are needed to better understand the mechanisms and molecular signatures in a wider range of surgery and trauma patients. The goal of the NIH Acute to Chronic Pain Signatures (A2CPS) program is to determine the mechanisms that make some people susceptible and others resilient to the development of chronic pain. We propose an Omics Data Generation Center (ODGC) for the A2CPS Consortium as a collaborative effort of three academic institutions with complementary technical expertise, experience in large-scale data generation projects, and established collaborations and interactions: · Wake Forest University Health Sciences (WFUHS), · The University of California at Davis (UCD), and · Duke University School of Medicine (Duke). The ODGC will generate omics data for blood samples collected from study participants at three clinical assessments (0, 3, and 6 months after a surgical procedure or musculoskeletal trauma) for an integrated analysis to identify biomarker signatures that are predictive of the transition from acute to chronic pain, and help reveal the underlying pathophysiological mechanisms mediating this transition. We have assembled a team of scientists that will use cutting-edge technologies to perform high-throughput analyses in 1) proteomics (WFUHS and Duke), 2) metabolomics (WFUHS and UCD), 3) lipidomics (UCD), 4) extracellular RNA (WFUHS), and 5) SNP genotyping (WFUHS). In addition, we propose to examine the epigenetics (DNA methylation) of monocytes collected from a subset of converters and non-converters. The resulting data will be integrated with extensive clinical assessment data, in collaboration with the Data Integration and Resource Center and the Multisite Clinical Centers of the A2CPS Consortium.

总结