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Undiagnosed Diseases Network Metabolomics Core

未确诊疾病网络代谢组学核心

基本信息

批准号：
9146822
负责人：
David M Koeller
金额：
$ 48.74万
依托单位：
BATTELLE PACIFIC NORTHWEST LABORATORIES
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-20 至 2018-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9146822
关键词：
Address Attention Bile Acids Biochemical Pathway Bioinformatics Biological Assay Cataloging Catalogs Characteristics Chemical Structure Clinical Communities Consultations DNA Sequence Data Data Analyses Databases Deposition Diagnosis Disease Etiology Experimental Designs Fractionation Generations Genetic Genetic Predisposition to Disease Goals Health Health Sciences Inflammation Inherited Knowledge Laboratories Lipids Liver Dysfunction Mass Spectrum Analysis Measurement Medical Genetics Metabolic Metabolic Diseases Metabolic Pathway Methodology Methods Molecular Profiling Morphologic artifacts Network-based Neurons Neurotransmitters Oregon Organic Synthesis Pacific Northwest Pathogenesis Patients Pattern Phenotype Physicians Polysaccharides Process Research Research Design Sampling Semantics Signs and Symptoms Statistical Methods Time Tissues Translating Universities Work base clinical phenotype clinical sequencing computerized data processing computing resources disease diagnosis disease phenotype genomic data innovation insight interest meetings metabolome metabolomics metabolomics resource mitochondrial dysfunction novel sample collection success

项目摘要

DESCRIPTION (provided by applicant): A state of the art metabolomics core will be a vital part of the Undiagnosed Diseases Network (UDN). However, in order for the UDN to realize it's the full potential it is essential that the metabolomics core doesn't simply function as a high tec referral lab. We propose the formation of a partnership that will combine the state of the art analytical capabilities of the Pacific Northwest National Laboratory (PNNL), with clinical, genetic and bioinformatics expertise from Oregon Health & Science University (OHSU), to create a metabolomics core that functions as a fully integrated component of the network. The integration of this combined expertise will facilitate the linkage of novel metabolites or patterns of metabolites identified by the metabolomics core to the underlying metabolic and genetic derangements, as well as clinical signs and symptoms, and to translate this knowledge into specific clues regarding the genetic etiology of the patient's disorder. The major goal of this metabolomics core is to provide metabolomics assays and computational resources that will address the enormous challenges in developing a modern approach to the use of metabolomics in the diagnosis of disease. To achieve these objectives, we will interact with the UDN Centers to provide guidance on all aspects of metabolomics experimental design, sample collection and storage, sample analysis, and data processing and analysis. We will perform comprehensive, quantitative untargeted and targeted measurements to identify changes in molecular profiles that are associated with rare and undiagnosed diseases, while providing structural determination of novel metabolites associated with undiagnosed diseases. Working closely with the UDN Centers, including the treating physicians, we will integrate metabolomics and genomics data with patient clinical phenotypes to both aid diagnosis and provide mechanistic insight for rare and undiagnosed diseases. This work is significant because it applies state-of-the- art and advanced metabolomics, lipidomics, and glycomics measurements in the study of rare and undiagnosed diseases. This work is innovative because it combines the collective expertise in mass spectrometry and omics measurements of the PNNL team with the expertise in inherited metabolic disease and deep semantic phenotyping of the OHSU team and applies it to the challenge of diagnosis of disease.

描述(由申请人提供)：最先进的代谢组学核心将是未诊断疾病网络(UDN)的重要组成部分。然而，为了让UDN实现其全部潜力，代谢组学核心不能简单地充当高科技转诊实验室，这一点至关重要。我们建议结成伙伴关系，将太平洋西北国家实验室(PNNL)最先进的分析能力与俄勒冈健康与科学大学(OHSU)的临床、遗传和生物信息学专业知识结合起来，创建一个代谢组学核心，作为网络的一个完全集成的组成部分。这种综合专业知识的整合将促进新的代谢物或模式的联系将代谢组学核心确定的代谢物与潜在的代谢和基因紊乱以及临床体征和症状联系起来，并将这些知识转化为有关患者疾病的遗传病因的具体线索。这个代谢组学核心的主要目标是提供代谢组学分析和计算资源，以解决在开发现代方法在疾病诊断中使用代谢组学方面的巨大挑战。为了实现这些目标，我们将与UDN中心互动，就代谢组学实验设计、样本收集和存储、样本分析以及数据处理和分析的方方面面提供指导。我们将进行全面、定量、无针对性和有针对性的测量，以确定与罕见和未诊断疾病相关的分子图谱的变化，同时提供与未诊断疾病相关的新代谢物的结构确定。我们将与包括治疗医生在内的UDN中心密切合作，将代谢组学和基因组学数据与患者的临床表型相结合，以帮助诊断，并为罕见和未诊断的疾病提供机械性洞察。这项工作意义重大，因为它将最先进的代谢组学、脂类组学和糖组学测量应用于罕见和未诊断疾病的研究。这项工作具有创新性，因为它结合了PNNL团队在质谱学和组学测量方面的集体专业知识，以及OHSU团队在遗传代谢性疾病和深层语义表型方面的专业知识，并将其应用于疾病诊断的挑战。