Obesity-related epigenetic changes and type-2 diabetes

肥胖相关的表观遗传变化和 2 型糖尿病

基本信息

  • 批准号:
    9102095
  • 负责人:
  • 金额:
    $ 74.3万
  • 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:
    2015-07-02 至 2020-05-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Several lines of experimental evidence, including our own work, indicate that disruption of certain aspects of intracellular cholesterol homeostasis in various cell types (e.g. macrophage, ¿-cell, adipoctyes) can lead to pathological processes preceding Type 2 diabetes mellitus (T2DM). Our recent transcriptomic study of human monocytes (N=1,264) corroborates these findings, and this study specifically identified a co-expressed cholesterol metabolism network (CMN) of genes whose alterations were associated with T2DM (ptrend: 5.07x10- 10). This network contained 11 functionally coupled genes related to cholesterol metabolism, with up-regulation of cholesterol uptake and synthesis, and down-regulation of cholesterol efflux a molecular profile expected to increase intracellular cholesterol. Furthermore, our data along with in vitro and in vivo data suggest that the effects of two important risk factors for T2DM - obesity and inflammation, may be mediated through alterations in this network. In addition, we identified several DNA methylation sites that potentially regulate expression of the CMN genes and were associated with T2DM. However, the strength of this inference linking the molecular features of CMN toT2DM risk is limited by the cross-sectional nature of our human data. Here our goal is to elucidate the temporal relationship between molecular features of the CMN and T2DM onset and to further investigate how the predicted functional consequences of the altered network in monocytes relate to the development of T2DM. We hypothesize that the molecular features of the CMN related to up-regulation of cholesterol uptake and synthesis and down-regulation of cholesterol efflux and increase in intracellular cholesterol content will predict a higher risk for developing future T2DM If confirmed, results will provide a rationale for developing a systematic approach to modulate this CMN, rather than individual genes, for optimizing the prevention and treatment of T2DM. Based on these preliminary data, and taking advantage of the well-phenotyped Multi-Ethnic Study of Atherosclerosis (MESA) cohort with existing genomic, DNA methylomic, and transcriptomic data on 1,264 CD14+ (primarily monocyte) samples, we now propose to carry out analyses of additional monocyte samples (N=1,536), a follow-up assessment of T2D status, and in vitro characterization of monocyte functions to achieve the following specific aims: 1) To independently replicate cross-sectional associations of T2DM with the molecular features of CMN (DNA methylation and mRNA) in monocyte samples; 2) To determine whether the molecular features of CMN (DNA methylation and mRNA) can predict incident T2DM in a 7-year follow-up; and 3) To determine whether differences in intracellular metabolism which would be predicted from the CMN alterations can predict incident T2DM. The integration of genetic, epigenetic, transcriptional, and clinical data along with in vitro experimental studies may provide novel mechanistic insights concerning the role of cellular cholesterol metabolism in susceptibility to T2DM, possibly leading to new prevention or treatment strategies.
 描述(由申请人提供):包括我们自己的工作在内的几条实验证据表明,各种细胞类型(例如巨噬细胞、巨噬细胞、脂肪细胞)中细胞内胆固醇稳态的某些方面的破坏可导致2型糖尿病(T2 DM)之前的病理过程。我们最近对人类单核细胞(N= 1,264)的转录组学研究证实了这些发现,并且该研究特别确定了一个共表达的胆固醇代谢网络(CMN)基因,其改变与T2 DM相关(ptrend:5.07x10- 10)。该网络包含11个与胆固醇代谢相关的功能性偶联基因,上调胆固醇摄取和合成,下调胆固醇流出 预期增加细胞内胆固醇的分子谱。此外,我们的数据沿着体外和体内数据表明, 2型糖尿病的两个重要危险因素-肥胖和炎症,可能通过该网络的改变来介导。此外,我们确定了几个DNA甲基化位点,这些位点可能调节CMN基因的表达,并与T2 DM相关。然而,这种将CMN的分子特征与T2 DM风险联系起来的推断的强度受到我们人类数据的横截面性质的限制。在这里,我们的目标是阐明CMN和T2 DM发病的分子特征之间的时间关系,并进一步研究预测的功能性后果的单核细胞改变网络与T2 DM的发展。我们假设CMN的分子特征与胆固醇摄取和合成的上调、胆固醇流出的下调以及细胞内胆固醇含量的增加相关,这将预测未来发生T2 DM的风险更高。如果得到证实,结果将为开发系统性方法来调节CMN(而不是单个基因)以优化T2 DM的预防和治疗提供依据。基于这些初步数据,并利用1,264名CD 14+受试者的现有基因组、DNA甲基化组学和转录组学数据,(主要是单核细胞)样本,我们现在建议对额外的单核细胞样本(N= 1,536)进行分析,对T2 D状态进行随访评估,和单核细胞功能的体外表征,以实现以下特定目标:1)独立复制T2 DM与CMN分子特征的横截面关联(DNA甲基化和mRNA); 2)确定CMN的分子特征是否与CMN的分子特征有关。(DNA甲基化和mRNA)可以预测7年随访中的T2 DM事件;和3)确定从CMN改变预测的细胞内代谢差异是否可以预测T2 DM事件。整合遗传、表观遗传、转录和临床数据沿着体外实验研究可以提供 关于细胞胆固醇代谢在易感性中的作用的新的机制见解 2型糖尿病,可能导致新的预防或治疗策略。

项目成果

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JINGZHONG DING其他文献

JINGZHONG DING的其他文献

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{{ truncateString('JINGZHONG DING', 18)}}的其他基金

T helper cells in development of chronic inflammation and multimorbidity
T辅助细胞在慢性炎症和多发病发展中的作用
  • 批准号:
    10737051
  • 财政年份:
    2023
  • 资助金额:
    $ 74.3万
  • 项目类别:
Aging Biomarkers: Integrating Omic Profiles with Mechanistic Measures
衰老生物标志物:将组学概况与机械测量相结合
  • 批准号:
    10160736
  • 财政年份:
    2018
  • 资助金额:
    $ 74.3万
  • 项目类别:
Aging Biomarkers: Integrating Omic Profiles with Mechanistic Measures
衰老生物标志物:将组学概况与机械测量相结合
  • 批准号:
    10445057
  • 财政年份:
    2018
  • 资助金额:
    $ 74.3万
  • 项目类别:
Aging Biomarkers: Integrating Omic Profiles with Mechanistic Measures
衰老生物标志物:将组学概况与机械测量相结合
  • 批准号:
    10662634
  • 财政年份:
    2018
  • 资助金额:
    $ 74.3万
  • 项目类别:
Aging Biomarkers: Integrating Omic Profiles with Mechanistic Measures
衰老生物标志物:将组学概况与机械测量相结合
  • 批准号:
    10435252
  • 财政年份:
    2018
  • 资助金额:
    $ 74.3万
  • 项目类别:
Cell-specific genomic features of Alzheimer's disease progression
阿尔茨海默病进展的细胞特异性基因组特征
  • 批准号:
    9218040
  • 财政年份:
    2017
  • 资助金额:
    $ 74.3万
  • 项目类别:
Cell-specific genomic features of Alzheimer's disease progression
阿尔茨海默病进展的细胞特异性基因组特征
  • 批准号:
    9923245
  • 财政年份:
    2017
  • 资助金额:
    $ 74.3万
  • 项目类别:
Epigenetics of Weight Loss and Glycemic Improvement
减肥和血糖改善的表观遗传学
  • 批准号:
    9258428
  • 财政年份:
    2016
  • 资助金额:
    $ 74.3万
  • 项目类别:
Epigenetics of Weight Loss and Glycemic Improvement
减肥和血糖改善的表观遗传学
  • 批准号:
    9116412
  • 财政年份:
    2016
  • 资助金额:
    $ 74.3万
  • 项目类别:
Epigenetics of Weight Loss and Glycemic Improvement
减肥和血糖改善的表观遗传学
  • 批准号:
    9906896
  • 财政年份:
    2016
  • 资助金额:
    $ 74.3万
  • 项目类别:

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