Newborn Metabolic Screening for Prediction of Childhood Respiratory Phenotypes
新生儿代谢筛查用于预测儿童呼吸表型
基本信息
- 批准号:9090671
- 负责人:
- 金额:$ 23.89万
- 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:2016-04-01 至 2018-03-31
- 项目状态:已结题
- 来源:
- 关键词:6 year oldAccountingAddressAffectAge of OnsetAlanineAllergicAllergic rhinitisAnimal ModelArginineAsthmaAtopic DermatitisBiochemical PathwayBiologicalBiological FactorsBiological ProcessBirthCarnitineCessation of lifeChildChildhoodChildhood AsthmaChronicChronic DiseaseClinicalCohort StudiesComplexDataData SourcesDevelopmentDiagnosisDiagnosticDiseaseDisease PathwayEarly InterventionEndocrine System DiseasesEnrollmentEnvironmentEnvironmental ExposureEnvironmental Risk FactorEtiologyExploratory/Developmental GrantExposure toFamilyFrequenciesFunctional disorderGoalsHeterogeneityHospitalizationHypersensitivityIgEInborn Errors of MetabolismIndividualInfantInfectionInterventionLeadLifeLongitudinal StudiesLower Respiratory Tract InfectionLungLung InflammationMeasurementMeasuresMedicalMetabolicModelingMorbidity - disease rateNatureNeonatal ScreeningNewborn InfantOxidative StressPerinatal ExposurePharmaceutical PreparationsPhenotypePredispositionPreventionPublic HealthResearchRespiratory Signs and SymptomsRespiratory Tract InfectionsRespiratory physiologyRespiratory syncytial virusRiskRisk FactorsRoleSensitivity and SpecificitySeveritiesSupplementationSymptomsTennesseeTestingUnited StatesWheezingasthma preventionbasecohortcostdesignearly childhoodhigh riskimprovedmitochondrial dysfunctionnovelnovel strategiesoxidationpopulation basedpredictive modelingpreventprogramsprospectivepublic health relevancerespiratoryrespiratory healthscreeningstressortool
项目摘要
DESCRIPTION (provided by applicant): Childhood asthma is a devastating condition that incurs long-term medical and financial burdens for affected children and their families. But identifying young children at high risk to develop asthma has proven difficult. Current predictive models are simplistic and do not recognize the underlying complexity of asthma; however, more complex models tend to lose clinical utility. Yet such models are needed: asthma is one of the most common chronic childhood diseases, affecting seven million children in the United States alone. Recent studies suggest that clustering early childhood respiratory and allergy symptoms (i.e., wheezing, respiratory infections, atopic dermatitis) into distinct phenotypes may improve the ability to predict asthma development in children. However, little is known about the biologic risks underlying these phenotypes. Metabolic and mitochondrial dysfunction, for instance, has been associated with asthma, but critical gaps remain in our understanding of how it leads to development of the disease. Newborn metabolic screening is a public health initiative aimed at screening every child born for endocrine disorders and rare inborn errors of metabolism, including many disorders indicative of metabolic and mitochondrial dysfunction. This screening represents a unique data source that can be analyzed alongside perinatal and environmental exposures to further our understanding of asthma etiology. We hypothesize that individuals with mild metabolic disturbances at birth will be more prone to further metabolic and mitochondrial dysfunction leading to the development of respiratory and allergy phenotypes later in childhood when exposed to triggers in the environment or to other stressors. Using two prospective cohort studies from Tennessee designed to identify risk factors for asthma; we will address this hypothesis through the following specific study goal and aims. Specific Study Goal: Determine if inclusion of newborn metabolic screening data improves prediction of early childhood respiratory and allergy phenotypes. Aim 1: Identify clusters of respiratory phenotypes based on early childhood respiratory and allergy symptoms. Aim 2: Identify clinical, demographic, environmental and newborn metabolic screening metabolites that are predictive of infant respiratory morbidity and asthma and allergy phenotypic groups. Aim 3: Validate predictive models and determine the sensitivity and specificity of our model. Combining clinical and environmental data with data, such as neonatal screening measurements, routinely captured by state programs is a novel approach for creating predictive models that can be incorporated into clinically available tools, account for heterogeneity in asthma phenotypes, and uncover novel disease pathways. If this approach is successful, our predictive models will improve the diagnosis of asthma in childhood and possibly lead to prevention or strategies for early intervention of a significant illness that affects millions of children worldwide.
描述(由申请人提供):儿童哮喘是一种毁灭性的疾病,会给受影响的儿童及其家庭带来长期的医疗和经济负担,但事实证明,目前的预测模型很简单,而且很难识别出患有哮喘的高风险儿童。没有认识到哮喘的潜在复杂性;然而,更复杂的模型往往会失去临床实用性:哮喘是最常见的慢性儿童疾病之一,仅在美国就影响了 700 万儿童。儿童早期呼吸道聚类将过敏症状(即喘息、呼吸道感染、特应性皮炎)分解为不同的表型可能会提高预测儿童哮喘发展的能力,但是,人们对这些表型潜在的生物学风险知之甚少。新生儿代谢筛查是一项公共卫生举措,旨在筛查每个出生的儿童是否患有内分泌失调和罕见的先天性代谢缺陷,其中包括哮喘。该筛查提供了一个独特的数据源,可以与围产期和环境暴露一起进行分析,以进一步了解哮喘病因。我们发现,出生时患有轻度代谢紊乱的个体更容易出现进一步的代谢紊乱。线粒体功能障碍导致儿童时期暴露于环境中的触发因素或其他压力源时出现呼吸和过敏表型,我们将通过以下两项来自田纳西州的旨在确定哮喘危险因素的前瞻性队列研究来解决这一假设;具体学习目标具体研究目标:确定纳入新生儿代谢筛查数据是否可以改善对儿童早期呼吸道和过敏表型的预测。目标 1:根据儿童早期呼吸道和过敏症状识别呼吸道表型。环境和新生儿代谢筛查可预测婴儿呼吸道发病率以及哮喘和过敏表型组的代谢物目标 3:验证预测模型并确定我们模型的敏感性和特异性。国家计划定期捕获的临床和环境数据以及新生儿筛查测量数据是一种创建预测模型的新方法,可以将其纳入临床可用的工具中,解释哮喘表型的异质性,并揭示新的疾病途径。如果方法成功,我们的预测模型将改善儿童哮喘的诊断,并可能导致对影响全球数百万儿童的重大疾病进行预防或早期干预策略。
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 }}
Tina V Hartert其他文献
Associations between Smoking and Smoking Cessation during Pregnancy and Newborn Metabolite Concentrations: Findings from PRAMS and INSPIRE Birth Cohorts
怀孕期间吸烟和戒烟与新生儿代谢物浓度之间的关联:来自 PRAMS 和 INSPIRE 出生队列的研究结果
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:4.1
- 作者:
B. Snyder;Hui Nian;Angela M Miller;K. Ryckman;Yinmei Li;Hilary A Tindle;L. Ammar;Abhismitha Ramesh;Zhouwen Liu;Tina V Hartert;Pingsheng Wu - 通讯作者:
Pingsheng Wu
Electronic cigarette use during pregnancy and the risk of adverse birth outcomes: A cross-sectional surveillance study of the US Pregnancy Risk Assessment Monitoring System (PRAMS) population
怀孕期间使用电子烟和不良出生结果的风险:美国怀孕风险评估监测系统(PRAMS)人群的横断面监测研究
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:3.7
- 作者:
L. Ammar;Hilary A Tindle;Angela M Miller;Margaret A. Adgent;Hui Nian;K. Ryckman;M. Mogos;Mariann R. Piano;Ethan Xie;B. Snyder;Abhismitha Ramesh;Chang Yu;Tina V Hartert;Pingsheng Wu - 通讯作者:
Pingsheng Wu
Personalized Infant Risk Prediction for Severe Respiratory Syncytial Virus Lower Respiratory Tract Infection Requiring Intensive Care Unit Admission
针对需要入住重症监护病房的严重呼吸道合胞病毒下呼吸道感染的个性化婴儿风险预测
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:4.2
- 作者:
B. Snyder;N. Achten;T. Gebretsadik;Pingsheng Wu;E. F. Mitchel;G. Escobar;L. Bont;Tina V Hartert - 通讯作者:
Tina V Hartert
Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium
ECHO CREW 联盟中生命早期接触空气污染和儿童哮喘累积发病率
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:13.8
- 作者:
A. Zanobetti;Patrick H. Ryan;Brent Coull;H. Luttmann;Soma Datta;Jeffrey Blossom;C. Brokamp;N. Lothrop;Rachel L Miller;P. I. Beamer;C. Visness;Howard Andrews;L. Bacharier;Tina V Hartert;Christine C. Johnson;D. Ownby;G. K. Khurana Hershey;Christine L. Joseph;E. Mendonça;Daniel J. Jackson;E. Zoratti;Anne L. Wright;Fernando D. Martinez;Christine M Seroogy;Sima K. Ramratnam;A. Calatroni;J. Gern;Diane R Gold - 通讯作者:
Diane R Gold
Association between age of respiratory syncytial virus infection hospitalization and childhood asthma: A systematic review
呼吸道合胞病毒感染住院年龄与儿童哮喘之间的关联:系统评价
- DOI:
10.1371/journal.pone.0296685 - 发表时间:
2024-02-13 - 期刊:
- 影响因子:3.7
- 作者:
A. Shiroshita;T. Gebretsadik;Pingsheng Wu;Nejla Zeynep Kubilay;Tina V Hartert - 通讯作者:
Tina V Hartert
Tina V Hartert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('Tina V Hartert', 18)}}的其他基金
Identifying Asthma-causing RSV Strains and Elucidating the Mechanisms of RSV-mediated Asthma Development
鉴定引起哮喘的 RSV 菌株并阐明 RSV 介导的哮喘发展机制
- 批准号:
10301922 - 财政年份:2020
- 资助金额:
$ 23.89万 - 项目类别:
Identifying Asthma-causing RSV Strains and Elucidating the Mechanisms of RSV-mediated Asthma Development
鉴定引起哮喘的 RSV 菌株并阐明 RSV 介导的哮喘发展机制
- 批准号:
10230392 - 财政年份:2020
- 资助金额:
$ 23.89万 - 项目类别:
Newborn Metabolic Screening for Prediction of Childhood Respiratory Phenotypes
新生儿代谢筛查用于预测儿童呼吸表型
- 批准号:
9250797 - 财政年份:2016
- 资助金额:
$ 23.89万 - 项目类别:
RSV to Asthma Cooperative Clinical Ascertainment and Biospecimen Research Core
RSV 与哮喘合作临床确定和生物样本研究核心
- 批准号:
9975085 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
RSV to Asthma Cooperative Clinical Ascertainment and Biospecimen Research Core
RSV 与哮喘合作临床确定和生物样本研究核心
- 批准号:
8196536 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
Clinical Ascertainment, Biospecimen Acquisition, Data Management and Analysis Research Core
临床确定、生物样本采集、数据管理和分析研究核心
- 批准号:
10675721 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
RSV and asthma: Defining host and exposure variation on disease development
RSV 和哮喘:定义疾病发展的宿主和暴露变异
- 批准号:
10460527 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
RSV and asthma: Defining host and exposure variation on disease development
RSV 和哮喘:定义疾病发展的宿主和暴露变异
- 批准号:
10675728 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
Identifying Asthma-causing RSV Strains and Elucidating the Mechanisms of RSV-mediated Asthma Development
鉴定引起哮喘的 RSV 菌株并阐明 RSV 介导的哮喘发展机制
- 批准号:
9975086 - 财政年份:2011
- 资助金额:
$ 23.89万 - 项目类别:
相似国自然基金
套期会计有效性的研究:实证检验及影响机制
- 批准号:72302225
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
全生命周期视域的会计师事务所分所一体化治理与审计风险控制研究
- 批准号:72372064
- 批准年份:2023
- 资助金额:40 万元
- 项目类别:面上项目
兔死狐悲——会计师事务所同侪CPA死亡的审计经济后果研究
- 批准号:72302197
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
上市公司所得税会计信息公开披露的经济后果研究——基于“会计利润与所得税费用调整过程”披露的检验
- 批准号:72372025
- 批准年份:2023
- 资助金额:40 万元
- 项目类别:面上项目
环境治理目标下的公司财务、会计和审计行为研究
- 批准号:72332003
- 批准年份:2023
- 资助金额:166 万元
- 项目类别:重点项目
相似海外基金
The National Couples Health and Time Use Stress Biology Study (NCHAT-BIO): Biobehavioral Pathways to Population Health Disparities in Sexual Minorities
全国夫妻健康和时间使用压力生物学研究 (NCHAT-BIO):性别少数人口健康差异的生物行为途径
- 批准号:
10742339 - 财政年份:2023
- 资助金额:
$ 23.89万 - 项目类别:
Interaction of physical activity and sleep in early childhood and their influence on cognition and the hippocampus
幼儿期身体活动和睡眠的相互作用及其对认知和海马体的影响
- 批准号:
10682034 - 财政年份:2022
- 资助金额:
$ 23.89万 - 项目类别:
Towards biomarkers of resiliency in the extremely preterm child: a multimodal neuroimaging study of brain and environment
极早产儿弹性的生物标志物:大脑和环境的多模式神经影像研究
- 批准号:
10299819 - 财政年份:2021
- 资助金额:
$ 23.89万 - 项目类别:
Household Air Pollution and Health: A Multi-Country LPG Intervention Trial
家庭空气污染与健康:多国液化石油气干预试验
- 批准号:
10442841 - 财政年份:2021
- 资助金额:
$ 23.89万 - 项目类别:
Psychological and inflammatory biobehavioral mechanisms underlying the association between bereavement and cardiovascular disease
丧亲之痛与心血管疾病之间关联的心理和炎症生物行为机制
- 批准号:
10152696 - 财政年份:2019
- 资助金额:
$ 23.89万 - 项目类别: