LIPIDOMICS BASED DIAGNOSTICS FOR NONALCOHOLIC STEATOHEPATITIS

基于脂质组学的非酒精性脂肪性肝炎诊断

基本信息

  • 批准号:
    9132243
  • 负责人:
  • 金额:
    $ 69.26万
  • 依托单位:
  • 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:
    2015-08-26 至 2019-05-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Nonalcoholic steatohepatitis (NASH) is an aggressive form of nonalcoholic fatty liver disease (NAFLD) that affects 3-4% of the adult population and progresses to cirrhosis in 15-20% of affected subjects. There is currently no approved therapy for NASH and the only accurate method to diagnose this condition is a liver biopsy which is invasive, painful and occasionally associated with mortality. The lack of a "point-of-care" diagnostic tool to diagnose NASH, to assess disease progression versus regression and response to various therapeutics is considered by many to be the most important barrier towards large scale identification of affected individuals and for drug-development against NASH. This proposal represents a multi-PI effort to develop a lipidomics-based biomarker panel to fill these gaps in knowledge. Dr. Sanyal (PI) from the NIDDK NASH Clinical Research Network (CRN) will lead this effort and Dr. Dennis (Co-PI) who previously led the NIGMS LIPID_MAPS consortium will lead the lipid analysis. The NASH CRN data coordinating center (DCC) will continue to serve as the DCC for this proposal. The studies will draw from the NASH CRN biorepository which contains plasma drawn at the time of a liver biopsy from over 2000 highly phenotyped subjects with NAFLD. Three specific aims will test the hypothesis that changes in lipid metabolism in NAFLD allow identification of a circulating lipid signature diagnostic of NASH, disease progression and response to specific therapies. Aim 1 will define and validate a circulating lipid profile diagnostic of underlying NASH and its severity. A model building cohort and two validation cohorts will be studied. The model building cohort will include subjects with and without NAFLD. The validation cohort will include: (1) a group of subjects with varying phenotypes of NAFLD and age, gender, race and weight-matched controls without NAFLD, and (2) a prospective group of subjects in a "real-world" setting who are going to receive a clinically-indicated liver biopsy for suspected NASH. Aim 2 will define changes in circulating lipids diagnostic of disease progression in NASH. This will be accomplished by performing lipidomic analyses on plasma drawn at the time of baseline liver biopsies in a cohort of subjects with varying phenotypes of NAFLD who have undergone two or more liver biopsies. Aim 3 will define the circulating lipid signature associated with treatment-induced improvement of NASH. This will utilize unique sample-sets obtained during protocol-driven biopsies from subjects enrolled in clinical trials by the NASH CRN. The studies will further innovate by applying the state-of-the-art analytic platforms developed by LIPID_MAPS for diagnostics development for NASH. Preliminary data support the feasibility of the proposed studies and aims. These studies will meet all of the quality metrics for accuracy assessment of diagnostics (QUADAS) and will have a strong positive impact on the field by allowing development of a diagnostic platform that will permit point of care evaluation of NASH. This will enhance access to care and eventually improve the health of the people thereby aligning with the mission of the NIH.
 描述(由适用提供):非酒精性脂肪性肝炎(NASH)是一种非酒精性脂肪肝病(NAFLD)的侵略性形式,影响了3-4%的成人人群,并在15-20%受影响的受试者中发展为cirrhosis。目前尚无针对NASH的批准疗法,诊断此疾病的唯一准确方法是肝活检,具有侵入性,痛苦且有时与死亡率相关。缺乏用于诊断NASH的“护理点”诊断工具,无法评估疾病进展与回归和对各种治疗疗法的反应,这是许多人认为是对受影响个体的大规模识别以及针对NASH进行药物发展的最重要障碍。该提案代表了开发基于脂肪态学的生物标志物小组以填补这些知识中的这些差距的多PIC努力。 NIDDK NASH临床研究网络(CRN)的Sanyal(PI)博士将领导这项工作,而Dennis(Co-Pi)先前领导Nigms Lipid_maps Consortium,将领导脂质分析。 NASH CRN数据协调中心(DCC)将继续作为该建议的DCC。这些研究将从NASH CRN生物座位上汲取灵感,该生物座是在2000多名具有NAFLD的高度表型受试者的肝活检时绘制的血浆。三个具体目的将检验以下假设:NAFLD中脂质代谢的变化允许鉴定NASH,疾病进展和对特定疗法的反应的循环脂质特征诊断。 AIM 1将定义和验证纳什及其严重性的循环脂质剖面诊断。模型构建队列和两个验证队列将进行研究。模型构建队列将包括有和没有NAFLD的主题。验证队列将包括:(1)一组具有NAFLD和年龄,性别,种族和体重匹配的控制的受试者,没有NAFLD,以及(2)在“现实世界中”设置中的一组潜在受试者,这些受试者将接受临床指示的肝脏biopsy涉及可疑NASH。 AIM 2将定义NASH疾病进展诊断的循环脂质的变化。这将通过在基线肝活检中对等离子体进行脂组学分析来实现,其中包括经历了两个或多个活检的NAFLD表型不同的受试者。 AIM 3将定义与治疗引起的NASH改善相关的循环脂质签名。这将利用NASH CRN参加临床试验的受试者的方案驱动的活检中获得的独特样品集。这些研究将通过应用LIPID_MAP开发的最先进的分析平台来进一步创新NASH的诊断开发。初步数据支持拟议的研究和目标的可行性。这些研究将满足所有质量指标的准确评估(Quadas),并通过允许开发诊断平台对现场产生强烈的积极影响,该平台将允许对NASH进行护理点评估。这将增强获得护理的机会,并最终改善人们的健康状况,从而与NIH的任务保持一致。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

EDWARD A DENNIS其他文献

EDWARD A DENNIS的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('EDWARD A DENNIS', 18)}}的其他基金

Action of Lipolytic Enzymes
脂肪分解酶的作用
  • 批准号:
    10544745
  • 财政年份:
    2021
  • 资助金额:
    $ 69.26万
  • 项目类别:
Action of Lipolytic Enzymes
脂肪分解酶的作用
  • 批准号:
    10323245
  • 财政年份:
    2021
  • 资助金额:
    $ 69.26万
  • 项目类别:
Action of Lipolytic Enzymes
脂肪分解酶的作用
  • 批准号:
    10582007
  • 财政年份:
    2021
  • 资助金额:
    $ 69.26万
  • 项目类别:
Bioactive Metabolites Modulate Immune-Related Adverse Events in Cancer Immunotherapy
生物活性代谢物调节癌症免疫治疗中与免疫相关的不良事件
  • 批准号:
    10654674
  • 财政年份:
    2021
  • 资助金额:
    $ 69.26万
  • 项目类别:
LIPIDOMICS BASED DIAGNOSTICS FOR NONALCOHOLIC STEATOHEPATITIS
基于脂质组学的非酒精性脂肪性肝炎诊断
  • 批准号:
    9313262
  • 财政年份:
    2015
  • 资助金额:
    $ 69.26万
  • 项目类别:
LIPIDOMICS BASED DIAGNOSTICS FOR NONALCOHOLIC STEATOHEPATITIS
基于脂质组学的非酒精性脂肪性肝炎诊断
  • 批准号:
    8940970
  • 财政年份:
    2015
  • 资助金额:
    $ 69.26万
  • 项目类别:
Metabolomics Core
代谢组学核心
  • 批准号:
    8689908
  • 财政年份:
    2014
  • 资助金额:
    $ 69.26万
  • 项目类别:
Impact of Lipidomics Conference Series
脂质组学会议系列的影响
  • 批准号:
    8993903
  • 财政年份:
    2014
  • 资助金额:
    $ 69.26万
  • 项目类别:
Impact of Lipidomics Conference Series
脂质组学会议系列的影响
  • 批准号:
    8804273
  • 财政年份:
    2014
  • 资助金额:
    $ 69.26万
  • 项目类别:
VISUALIZING LOCALIZATION & TRANSLOCATION OF THREE TYPES OF PHOSPHOLIPASE A2
可视化本地化
  • 批准号:
    7358028
  • 财政年份:
    2006
  • 资助金额:
    $ 69.26万
  • 项目类别:

相似国自然基金

儿童期受虐经历影响成年人群幸福感:行为、神经机制与干预研究
  • 批准号:
    32371121
  • 批准年份:
    2023
  • 资助金额:
    50.00 万元
  • 项目类别:
    面上项目
依恋相关情景模拟对成人依恋安全感的影响及机制
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
依恋相关情景模拟对成人依恋安全感的影响及机制
  • 批准号:
    32200888
  • 批准年份:
    2022
  • 资助金额:
    30.00 万元
  • 项目类别:
    青年科学基金项目
生活方式及遗传背景对成人不同生命阶段寿命及死亡的影响及机制的队列研究
  • 批准号:
    82173590
  • 批准年份:
    2021
  • 资助金额:
    56.00 万元
  • 项目类别:
    面上项目

相似海外基金

Climate Change Effects on Pregnancy via a Traditional Food
气候变化通过传统食物对怀孕的影响
  • 批准号:
    10822202
  • 财政年份:
    2024
  • 资助金额:
    $ 69.26万
  • 项目类别:
Designing novel therapeutics for Alzheimer’s disease using structural studies of tau
利用 tau 蛋白结构研究设计治疗阿尔茨海默病的新疗法
  • 批准号:
    10678341
  • 财政年份:
    2023
  • 资助金额:
    $ 69.26万
  • 项目类别:
Oxidative Stress and Mitochondrial Dysfunction in Chemogenetic Heart Failure
化学遗传性心力衰竭中的氧化应激和线粒体功能障碍
  • 批准号:
    10643012
  • 财政年份:
    2023
  • 资助金额:
    $ 69.26万
  • 项目类别:
Development and Production of Standardized Reference Diets for Zebrafish Research
斑马鱼研究标准化参考饲料的开发和生产
  • 批准号:
    10823702
  • 财政年份:
    2023
  • 资助金额:
    $ 69.26万
  • 项目类别:
Role of Creatine Metabolism in Necrotizing Enterocolitis
肌酸代谢在坏死性小肠结肠炎中的作用
  • 批准号:
    10724729
  • 财政年份:
    2023
  • 资助金额:
    $ 69.26万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了