Project 1 - Yan Li, PhD

项目1 - 李岩博士

基本信息

  • 批准号:
    10608181
  • 负责人:
  • 金额:
    $ 21.15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-06-10 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

Non-alcoholic steatohepatitis (NASH), a potential precursor of hepatocellular carcinoma (HCC), currently has no FDA-approved treatment. Recent studies of fibroblast growth factor (FGF)19 and FGF21 on metabolism suggest that endocrine FGFs and their derivatives carry great potential as novel therapeutics to treat metabolic condi- tions, including NASH. The Pegylated FGF21 (MS-986036) and FGF19 agonist (NGM282) have been studied in clinical phase II trials. Our preliminary studies show that the lack of FGF21 accelerates steatohepatities pro- gression and HCC transformation. Overexpression of FGF19/FGF receptor 4 significantly correlated with epithe- lial cell adhesion molecule (EpCAM) as a marker of hepatic cancer stem cells within the fatty liver-steatosis- cirrhosis-HCC sequence in patients. Recent studies indicated that FGF21 down-regulates the Th17-IL-17 axis, suppresses NF-κB but activates p53 pathways, which are the critical anti-cancer mechanism(s). However, there is no evidence demonstrating the specific anticancer effect of FGF21 on the NASH associated HCC. It is also unknown whether FGF21 could negatively affect the Th17-IL-17 axis and the carcinogenetic signaling to abolish the carcinogenetic transformation from NASH to HCC. Our central hypothesis is that FGF21 and FGF15/19 prevent NASH-HCC through, in turn, controlling lipolysis, clearing excessive FFAs, and inhibiting the IL- 17A signaling mediated inflammation and carcinogenesis. The hypothesis will be tested in the following Specific Aims. Aim 1: Investigate lipid metabolic disorder and IL-17A mediated inflammation during NASH-HCC transition. Establishing NASH-HCC mice to, 1) determine FFA pools (plasma, adipose, liver and feces) and FA metabolites by metabolomics; 2) determine metabolic enzymes and components of IL-17A signaling by targeting proteomics. Aim 2: Evaluate the efficacy of FGF21 (LY2405319) and FGF19 (NGM282) against NASH-HCC transition. Administrating LY2405319/NGM282 in NASH-HCC mice to, 1) evaluate NASH score, HCC incidence, hepatic injury and HCC lesion; 3) determine IL-17A-mediated inflammation/carcinogenesis and tumor-initiating cells. Aim 3: Explore the preventive mechanism(s) of FGF21/FGF15/19 against NASH-HCC transition. Repro- ducing NASH-HCC in FGF21 knockout (KO), FGF15KO and IL-17A mutation mice to investigate the feedback loop of FGF21/FGF15/19-IL-17A on molecular target(s) linking to carcinogenetic pathways. The importance of this proposal is: 1) to explore pharmacological use of FGF21/FGF15/19 against the NASH-HCC transition; and 2) to reveal therapeutic targets and mechanism(s), especially the IL-17 signaling linked carcinogenetic pathways, during NASH-HCC transition.
非酒精性脂肪性肝炎(NASH)是肝细胞癌(HCC)的潜在先兆,目前没有 FDA批准的治疗方法。成纤维细胞生长因子19和成纤维细胞生长因子21对代谢的最新研究提示 内分泌FGFs及其衍生物作为治疗新陈代谢疾病的新疗法具有巨大的潜力。 包括纳什在内的所有人。聚乙二醇化成纤维细胞生长因子21(MS-986036)和成纤维细胞生长因子19激动剂(NGM282)的研究 在临床II期试验中。我们的初步研究表明,缺乏FGF21会加速脂肪性肝炎的进展。 分化与肝细胞癌的转化。FGF19/成纤维细胞生长因子受体4的过度表达与瘢痕疙瘩显著相关 肝细胞黏附分子(EpCAM)作为脂肪肝-脂肪变性内肝癌干细胞的标志物 患者中的肝硬变-肝细胞癌序列。最近的研究表明,FGF21下调Th17-IL-17轴, 抑制核因子-κB,但激活P53通路,这是关键的抗癌机制(S)。然而,在那里 目前尚无证据表明FGF21对NASH相关肝细胞癌有特异性抗癌作用。它也是 未知FGF21是否会对Th17-IL-17轴和致癌信号产生负面影响 NASH向肝癌的致癌转化。我们的中心假设是FGF21和FGF15/19 进而通过控制脂解、清除过量的FFA和抑制IL-2来预防NASH-HCC。 17A信号介导炎症和癌变。这一假设将在以下方面得到检验 明确的目标。目的1:探讨NASH-肝细胞癌中脂代谢紊乱和IL-17A介导的炎症反应 过渡。建立NASH-HCC小鼠,1)测定FFA池(血浆、脂肪、肝脏和粪便)和FA 代谢组学;2)靶向测定代谢酶和IL-17A信号成分 蛋白质组学。目的2:评价FGF21(LY2405319)和FGF19(NGM282)对NASH-HCC的治疗作用 过渡。LY2405319/NGM282在NASH-HCC小鼠体内应用,1)评估NASH评分,肝癌发病率, 肝损伤与肝细胞癌损害;3)IL-17A介导的炎症/癌变及肿瘤的发生 细胞。目的:探讨FGF21/FGF15/19预防NASH向肝癌转化的作用机制(S)。转载- 在FGF21基因敲除(KO)、FGF15KO和IL-17A突变小鼠中诱导NASH-肝癌研究反馈 FGF21/FGF15/19-IL-17A在分子靶点(S)上的环与致癌途径的联系重要的是 这项建议是:1)探索FGF21/FGF15/19在抗NASH-肝癌转化中的药理作用;以及 2)揭示治疗靶点和作用机制(S),特别是IL-17信号转导致癌途径。 在NASH向肝细胞癌转变过程中。

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)

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Yan Li其他文献

Modeling Fuzzy Data with Fuzzy Data Types in Fuzzy Database and XML Models
使用模糊数据库和 XML 模型中的模糊数据类型对模糊数据进行建模
Formal Mapping of Fuzzy XML Model into Fuzzy Conceptual Data Model
模糊XML模型到模糊概念数据模型的形式化映射
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yan Li
  • 通讯作者:
    Yan Li

Yan Li的其他文献

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{{ truncateString('Yan Li', 18)}}的其他基金

Engineering Extracellular Vesicles of Human Brain Organoids for Stroke Therapy
工程化人脑类器官细胞外囊泡用于中风治疗
  • 批准号:
    10345859
  • 财政年份:
    2022
  • 资助金额:
    $ 21.15万
  • 项目类别:
Engineering Extracellular Vesicles of Human Brain Organoids for Stroke Therapy
工程化人脑类器官细胞外囊泡用于中风治疗
  • 批准号:
    10589782
  • 财政年份:
    2022
  • 资助金额:
    $ 21.15万
  • 项目类别:
Improving Population Representativeness of the Inference from Non-Probability Sample Analysis
提高非概率样本分析推断的总体代表性
  • 批准号:
    10046869
  • 财政年份:
    2020
  • 资助金额:
    $ 21.15万
  • 项目类别:
Optical Coherence Tomography-Aided Differential Diagnosis and Treatment of Irregular Corneas
光学相干断层扫描辅助不规则角膜的鉴别诊断和治疗
  • 批准号:
    10222700
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)
通过模拟预测对心血管疾病的长期影响来评估政策(APPLE CDS)
  • 批准号:
    10089006
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Assessment of Policies through Prediction of Long-term Effects on Cardiovascular Disease Using Simulation (APPLE CDS)
通过模拟预测对心血管疾病的长期影响来评估政策(APPLE CDS)
  • 批准号:
    10436403
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Elucidating human beta cell transcriptional regulome with low-input genomic technologies
利用低输入基因组技术阐明人类 β 细胞转录调节组
  • 批准号:
    10400115
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Optical Coherence Tomography-Aided Differential Diagnosis and Treatment of Irregular Corneas
光学相干断层扫描辅助不规则角膜的鉴别诊断和治疗
  • 批准号:
    10407569
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Elucidating human beta cell transcriptional regulome with low-input genomic technologies
利用低输入基因组技术阐明人类 β 细胞转录调控组
  • 批准号:
    9906888
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:
Elucidating human beta cell transcriptional regulome with low-input genomic technologies
利用低输入基因组技术阐明人类 β 细胞转录调节组
  • 批准号:
    10159254
  • 财政年份:
    2018
  • 资助金额:
    $ 21.15万
  • 项目类别:

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