Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth Cohort

心脏代谢风险的代际联系:将多组学与出生队列相结合

基本信息

  • 批准号:
    9915936
  • 负责人:
  • 金额:
    $ 65.74万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-04-15 至 2023-03-31
  • 项目状态:
    已结题

项目摘要

Abstract More than half of U.S. mothers entered pregnancy with overweight or obesity (OWO); maternal obesity is considered a major determinant of the next generations' OWO risk.7 A similar inter-generational link was observed for maternal hypertensive disorders before and during pregnancy. This inter-generational link may originate in utero and amplify the cardio- metabolic risk in current and future generations. However, questions remain about what the underlying mechanisms are and what can be done to mitigate the adverse effects of maternal cardio-metabolic disorders on offspring health. We propose to leverage the exceptional resources of the Boston Birth Cohort (BBC), one of the largest and longest U.S. high-risk urban low-income minority birth cohorts, to investigate the inter-generational link of cardio-metabolic outcomes and the role of maternal folate/B12 nutrition (modifiable early life factors), and to explore plausible epigenetic underpinnings. Furthermore, by combining fetal multi-omics data (genome, epigenome, and metabolome) with maternal and fetal epidemiological and clinical data, we seek to more precisely characterize newborns' future risk for the development of adverse cardio-metabolic outcomes up to age 21 years. Our proposal has a strong scientific premise. Both animal models and human studies implicate the intrauterine period as a critical time for the establishment of epigenetic variability. Epigenetic regulation has been implicated in a range of important biological functions, including adipogenesis, glucose homeostasis, inflammation, and insulin signaling. As such, fetal epigenetic mechanisms are critical for understanding an inter-generational link of cardio- metabolic disorders. However, currently there is no adequately powered prospective birth cohort study to assess the role of the fetal epigenome (using the latest profiling technology) along with maternal folate/B12 status in inter-generational cardio-metabolic risk in U.S. populations. Our proposal is also supported by promising preliminary data from the BBC, indicating that maternal folate status influences offspring DNA methylation and cardio-metabolic outcomes and mitigates the adverse effects of maternal cardio-metabolic disorders on offspring health. Successful completion of this study will improve our understanding of inter-generational cardio-metabolic risk and lead to a new paradigm for early prediction and prevention to halt or reverse the vicious inter-generational cycle, beginning at critical developmental windows when interventions may have the greatest impact on improving life-long health and reducing health disparities in current and future generations.
抽象的 超过一半的美国母亲在怀孕时患有超重或肥胖 (OWO); 产妇肥胖被认为是下一代 OWO 风险的主要决定因素。7 A 在孕产妇高血压疾病之前和之后观察到类似的代际联系。 怀孕期间。这种代际联系可能起源于子宫并增强了心脏功能。 当前和后代的代谢风险。然而,问题仍然存在: 潜在的机制是什么以及可以采取哪些措施来减轻孕产妇的不利影响 心脏代谢紊乱对后代健康的影响。 我们建议利用波士顿出生队列 (BBC) 的卓越资源,该队列是 最大和最长的美国高风险城市低收入少数族裔出生队列,以调查 心脏代谢结果的代际联系以及母亲叶酸/B12 营养的作用 (可改变的早期生命因素),并探索合理的表观遗传基础。此外, 通过将胎儿多组学数据(基因组、表观基因组和代谢组)与母体和代谢组学数据相结合 胎儿流行病学和临床数据,我们寻求更准确地描述新生儿的未来 21 岁以下发生不良心脏代谢结果的风险。 我们的建议有很强的科学前提。动物模型和人体研究 表明宫内时期是表观遗传变异建立的关键时期。 表观遗传调控与一系列重要的生物学功能有关,包括 脂肪生成、葡萄糖稳态、炎症和胰岛素信号传导。如此看来,胎儿 表观遗传机制对于理解心血管疾病的代际联系至关重要 代谢紊乱。然而,目前还没有足够有力的前瞻性出生队列 评估胎儿表观基因组作用的研究(使用最新的分析技术)以及 美国人群代际心脏代谢风险中母亲叶酸/B12 状况。我们的 该提案还得到了 BBC 有希望的初步数据的支持,表明 母亲叶酸状态影响后代 DNA 甲基化和心脏代谢结果 并减轻母亲心脏代谢紊乱对后代健康的不利影响。 成功完成这项研究将提高我们对代际间的理解 心脏代谢风险,并导致早期预测和预防的新范例,以阻止或预防 扭转代际恶性循环,从关键的发展窗口开始 干预措施可能对改善终生健康和减少健康产生最大影响 当前和未来几代人的差距。

项目成果

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Liming Liang其他文献

Liming Liang的其他文献

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{{ truncateString('Liming Liang', 18)}}的其他基金

Data Analysis Core for the Dietary Biomarkers Development Center at Harvard University
哈佛大学膳食生物标志物开发中心的数据分析核心
  • 批准号:
    10461135
  • 财政年份:
    2021
  • 资助金额:
    $ 65.74万
  • 项目类别:
Data Analysis Core for the Dietary Biomarkers Development Center at Harvard University
哈佛大学膳食生物标志物开发中心的数据分析核心
  • 批准号:
    10289797
  • 财政年份:
    2021
  • 资助金额:
    $ 65.74万
  • 项目类别:
Data Analysis Core for the Dietary Biomarkers Development Center at Harvard University
哈佛大学膳食生物标志物开发中心的数据分析核心
  • 批准号:
    10649591
  • 财政年份:
    2021
  • 资助金额:
    $ 65.74万
  • 项目类别:
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth Cohort
心脏代谢风险的代际联系:将多组学与出生队列相结合
  • 批准号:
    10214809
  • 财政年份:
    2019
  • 资助金额:
    $ 65.74万
  • 项目类别:
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth Cohort
心脏代谢风险的代际联系:将多组学与出生队列相结合
  • 批准号:
    10437596
  • 财政年份:
    2019
  • 资助金额:
    $ 65.74万
  • 项目类别:

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