Project 1 - Yan Li, PhD

项目1 - 李岩博士

基本信息

  • 批准号:
    10377896
  • 负责人:
  • 金额:
    $ 21.52万
  • 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 2026-03-31
  • 项目状态:
    未结题

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)的潜在前体,目前还没有 FDA批准的治疗方法最近关于成纤维细胞生长因子(FGF)19和FGF 21对代谢的研究表明, 内分泌FGF及其衍生物作为治疗代谢性疾病新疗法具有巨大潜力, 包括NASH。已经研究了聚乙二醇化的FGF 21(MS-986036)和FGF 19激动剂(NGM 282), 在临床II期试验中。我们的初步研究表明,缺乏FGF 21会加速脂肪肝, 回归和HCC转化。FGF 19/FGF受体4的过度表达与上皮细胞增殖显著相关。 肝细胞粘附分子(EpCAM)作为脂肪肝-脂肪变性内肝癌干细胞的标志物- 患者的腹水-HCC序列。最近的研究表明,FGF 21下调Th 17-IL-17轴, 抑制NF-κB,但激活p53通路,这是关键的抗癌机制。但 没有证据表明FGF 21对NASH相关HCC的特异性抗癌作用。也是 目前尚不清楚FGF 21是否会对Th 17-IL-17轴和致癌信号产生负面影响, 从NASH到HCC的致癌转化。我们的中心假设是FGF 21和FGF 15/19 预防NASH-HCC,依次通过控制脂解,清除过量的FFA,并抑制IL-10, 17 A信号传导介导的炎症和致癌作用。该假设将在下面进行检验 具体目标。目的1:探讨NASH-HCC过程中脂质代谢紊乱和IL-17 A介导的炎症反应 过渡建立NASH-HCC小鼠以:1)测定FFA池(血浆、脂肪、肝脏和粪便)和FA 通过代谢组学确定代谢酶和IL-17 A信号传导的组分, 蛋白质组学目的2:评价FGF 21(LY 2405319)和FGF 19(NGM 282)对NASH-HCC的疗效 过渡在NASH-HCC小鼠中施用LY 2405319/NGM 282以:1)评价NASH评分、HCC发病率, 肝损伤和HCC病变; 3)确定IL-17 A介导炎症/致癌作用和肿瘤起始 细胞目的3:探讨FGF 21/FGF 15/19对NASH-HCC转化的预防机制。复制- 在FGF 21敲除(KO)、FGF 15敲除和IL-17 A突变小鼠中诱导NASH-HCC以研究反馈 FGF 21/FGF 15/19-IL-17 A在与致癌途径连接的分子靶点上的环。的重要性 该建议是:1)探索FGF 21/FGF 15/19针对NASH-HCC转变的药理学用途;和 2)揭示治疗靶点和机制,特别是IL-17信号转导相关的致癌途径, 在NASH-HCC转变期间。

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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 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:
    $ 21.52万
  • 项目类别:

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