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：
9812596
负责人：
TIMOTHY D HOWARD
金额：
$ 6.65万
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/9812596
关键词：
Acute Acute Pain Biological Biological Markers Blood specimen California Clinical Clinical assessments Collaborations DNA Methylation Data Data Set Development Epigenetic Process Generations Goals Health Sciences Injury Institution Knowledge Lead Mediating Methods Molecular Molecular Profiling Musculoskeletal Operative Surgical Procedures Pain Pain management Participant Proteomics RNA Research Personnel Resources SNP genotyping Scientist Shipping Technical Expertise Technology Tissues Trauma Trauma patient United States National Institutes of Health Universities chronic pain chronic pain patient cohort data integration data resource experience extracellular forest genetic signature genetic variant high throughput analysis medical schools metabolomics monocyte predictive signature programs sample collection 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.

概括急性疼痛通常由组织损伤（例如创伤或手术）引发，可导致长期持续的慢性疼痛疼痛，一种使人衰弱的疾病，需要广泛的治疗和疼痛管理。人们对这种从急性疼痛转变为慢性疼痛的基础知之甚少，这种知识的缺乏阻碍了对疼痛的认识。最近的几项研究已经开始为慢性疼痛患者制定更好的治疗策略。探索转化为慢性疼痛的潜在遗传和分子特征，但显然，另外需要更好地了解更广泛范围内的努力机制和分子特征手术和创伤患者。 NIH 急性至慢性疼痛特征 (A2CPS) 计划的目标是确定以下机制：使一些人对慢性疼痛的发展易感，而另一些人对慢性疼痛的发展有抵抗力。我们提出了一个组学。 A2CPS 联盟的数据生成中心 (ODGC) 由三个学术机构共同努力具有互补技术专长、大规模数据生成项目经验的机构，以及建立的合作和互动： · 维克森林大学健康科学 (WFUHS), · 加州大学戴维斯分校 (UCD)，以及 · 杜克大学医学院（杜克大学）。 ODGC 将为从三个临床研究参与者收集的血液样本生成组学数据评估（外科手术或肌肉骨骼创伤后 0、3 和 6 个月）进行综合分析识别可预测从急性疼痛转变为慢性疼痛的生物标志物特征，并帮助揭示介导这种转变的潜在病理生理机制。我们组建了一支科学家团队，将利用尖端技术进行高通量研究 1) 蛋白质组学（WFUHS 和 Duke）、2) 代谢组学（WFUHS 和 UCD）、3）脂质组学（UCD）、 4) 细胞外 RNA (WFUHS) 和 5) SNP 基因分型 (WFUHS) 此外，我们建议检查从转化者和非转化者子集中收集的单核细胞的表观遗传学（DNA 甲基化）。由此产生的数据将与广泛的临床评估数据相结合，并与数据中心合作 A2CPS 联盟的集成和资源中心以及多站点临床中心。