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:10214809
- 负责人:
- 金额:$ 13.47万
- 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
- 来源:
- 关键词:21 year oldAddressAdverse effectsAffectAgeAnimal ModelAnti-Inflammatory AgentsAntioxidantsBiological ProcessBirthBloodBlood PressureBostonChildClinicalClinical DataCohort StudiesDNA MethylationDataDevelopmentDiabetes MellitusDiseaseDyslipidemiasEndocrine DisruptorsEndotheliumEnvironmentEpigenetic ProcessFolic AcidFundingFutureFuture GenerationsGenesGenomeGrainGrowthHealthHomocysteineHumanHypertensionIndividualInfantInflammationInsulin ResistanceInterventionLeadLifeLinkLow incomeMalnutritionMediatingMinorityMothersMultiomic DataMultivitaminNatureNewborn InfantNucleic AcidsNutrientObesityOutcomeOverweightPathway interactionsPlayPopulationPrediabetes syndromePregnancyPregnant WomenPreventionProcessPropertyPublic HealthRecommendationReproductive HealthResearchResourcesRiskRisk AssessmentRoleTechnologyTimeUmbilical Cord BloodUnited States National Institutes of HealthUterusVitamin B ComplexWomanblood glucose regulationcardiometabolic riskcardiometabolismcardiovascular healthcell growthcohortcritical developmental periodepidemiologic dataepigenetic regulationepigenetic variationepigenomefetalfortificationgenetic variantgenome wide methylationgenome-widehealth disparityhigh riskhuman studyimprovedin uteroinsightinsulin signalingintergenerationallipid biosynthesismaternal obesitymetabolomemethylation patternmultiple omicsnext generationnutritionobesity riskoffspringprenatalprospectiverepairedreproductivesuccess
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、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式,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
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 }}
Liming Liang其他文献
Liming Liang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('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:
$ 13.47万 - 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:
$ 13.47万 - 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:
$ 13.47万 - 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:
9915936 - 财政年份:2019
- 资助金额:
$ 13.47万 - 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:
$ 13.47万 - 项目类别:
相似国自然基金
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
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:
9915936 - 财政年份:2019
- 资助金额:
$ 13.47万 - 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:
$ 13.47万 - 项目类别:
Memantine for Prevention of Cognitive Late Effects in Pediatric Patients Receiving Cranial Radiation Therapy for Low Grade Glioma
美金刚用于预防接受低级别胶质瘤颅脑放射治疗的儿科患者的认知迟发效应
- 批准号:
9372822 - 财政年份:2017
- 资助金额:
$ 13.47万 - 项目类别:
Acupressure Intervention to Improve Fatigue and Physical Functioning of Chinese Immigrant Breast Cancer Survivors
穴位按摩干预改善中国移民乳腺癌幸存者的疲劳和身体机能
- 批准号:
9178314 - 财政年份:2016
- 资助金额:
$ 13.47万 - 项目类别:
Yoga for restless legs syndrome, a common and burdensome sleep disorder. A feasibility trial
瑜伽可治疗不宁腿综合症,这是一种常见且令人烦恼的睡眠障碍。
- 批准号:
8957416 - 财政年份:2015
- 资助金额:
$ 13.47万 - 项目类别: