Mediation Analysis Methods to Model Human Microbiome Mediating Disease-Leading Causal Pathways in Children
用于模拟人类微生物组介导儿童疾病主导因果路径的中介分析方法
基本信息
- 批准号:10228590
- 负责人:
- 金额:$ 40.41万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAntibioticsArsenicAsthmaBiologicalBiological ProcessBirthChildChild HealthChildhoodClinicalCohort StudiesComplexComplicationComputer softwareCoupledCustomCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorDataData AnalysesDependenceDevelopmentDietDiseaseDrug usageEpidemiologyFoundationsFundingGene MutationGenomeGoalsGrowthHealthHigh-Throughput Nucleotide SequencingHumanHuman MicrobiomeHypersensitivityIndividualInfantInfectionInheritedLifeLiteratureMediatingMediationMediator of activation proteinMedicalMethodologyMethodsMicrobeModelingMolecularMothersNew HampshireNewborn InfantOutcomePathogenicityPathway interactionsPatternPeptide Initiation FactorsPerformancePhylogenetic AnalysisPlayPopulationPregnancyResearchResearch PersonnelRoleSensitivity and SpecificityStructureTaxonomyTechnologyTestingToxic Environmental SubstancesTranslational ResearchTranslationsTreesUnited States National Institutes of HealthValidationWeight Gainatopybreast milk microbiomechildren with cystic fibrosisclinical practicedesigndrinking waterfeedinggut microbiomehigh dimensionalityhuman modelinfant gut microbiomeinnovationinsightlongitudinal datasetmicrobialmicrobiomemicrobiome alterationmicrobiome compositionmicrobiome researchmicroorganismmother nutritionnovelperinatal periodprenatalprenatal exposuresimulationsoftware developmenttooluser friendly softwareuser-friendlyweb app
项目摘要
Abstract
Emerging evidence suggests that human microbiome, composed of collective genomes of as many as 100 trillion
microorganisms, could be mediating disease-leading causal pathways initiated by environmental toxicants or
other factors such as drug usage. Prenatal arsenic exposure through drinking water, for example, could initiate
perturbation of gut microbiome, and therefore, children could inherit perturbed microbiome composition if their
mothers have arsenic exposure during perinatal period. The unhealthy microbiome composition could, in turn,
induce children’s asthma, infection and allergy which could explain that arsenic exposure during pregnancy is
related to children’s infection. Taken together, arsenic exposure could be the initiation of causal pathways leading
to children’s infection through perturbed mother’s microbiome being passed to children. There are many other
possible initiation factors such as diet, gene mutation, delivery mode and antibiotics leading to different children’s
health outcomes. These mediations could happen through changes in particular microbial taxa or though the
perturbation of microbiome population structure. While high-throughput sequencing technologies can
characterize the taxonomic composition of microbiome in unprecedented detail, none of the existing mediation
analysis methods is adequate enough to model the mediation effects of microbiome due to the unique
challenging features of microbiome data. Therefore, there is an urgent need to have appropriate mediation
analysis methods in place for estimating and testing the mediational effects of human microbiome. To address
these issues, we will develop two general mediation analysis frameworks to identify mediation through changes
in individual microbial taxa and model mediation though the perturbation of overall microbiome composition. The
models will be tested with extensive simulations and cross validations. An R package and an interactive web
application will be developed for model implementations. In the real study applications, we will quantify and test
the mediation effects of infant gut microbiome and breast-milk microbiome in the relations between prenatal
exposures (e.g., arsenic exposure, maternal diet) and childhood infections and allerg/atopy in the first year of
life using the rich data from the large ongoing longitudinal molecular epidemiologic New Hampshire Birth Cohort
study. With the applications of the proposed models in a cystic fibrosis (CF) study, we will examine whether CF
transmembrane conductance regulator gene mutations lay the biological foundation for patterns in the
developing microbiome in the gut that are associated with CF exacerbation onset in newborn children with CF.
By analyzing the data from the Infant Growth and Microbiome Study, we will answer the key question of the role
played by gut microbiome in associating early antibiotic exposure, delivering mode and feeding mode with infant
weight gain.
文摘
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Perceived Effectiveness of Medical Cannabis Among Adults with Chronic Pain: Findings from Interview Data in a Three-Month Pilot Study.
- DOI:10.26828/cannabis/2023/000149
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
What's in a Do-Not-Resuscitate Order? Understanding the Impact on Pre-arrest Life Support and Factors Influencing Misconceptions.
不复苏令包含哪些内容?
- DOI:10.1007/s11606-019-05431-7
- 发表时间:2020
- 期刊:
- 影响因子:5.7
- 作者:Charoonratana,VictoriaT;Stewart,Talia;Zhang,Runzhi;Li,Zhigang;DesBiens,MarthaT;Slogic,Scott;Vergo,MaxwellT
- 通讯作者:Vergo,MaxwellT
Randomized Trial of a Palliative Care Intervention to Improve End-of-Life Care Discussions in Patients With Metastatic Breast Cancer.
姑息治疗干预措施的随机试验,以改善转移性乳腺癌患者的寿命末护理讨论。
- DOI:10.6004/jnccn.2021.7040
- 发表时间:2022-03
- 期刊:
- 影响因子:0
- 作者:Greer JA;Moy B;El-Jawahri A;Jackson VA;Kamdar M;Jacobsen J;Lindvall C;Shin JA;Rinaldi S;Carlson HA;Sousa A;Gallagher ER;Li Z;Moran S;Ruddy M;Anand MV;Carp JE;Temel JS
- 通讯作者:Temel JS
Getting Creative: Pilot Study of a Coached Writing Intervention in Patients with Advanced Cancer at a Rural Academic Medical Center.
发挥创造力:在农村学术医疗中心对晚期癌症患者进行辅导写作干预的试点研究。
- DOI:10.1089/jpm.2021.0335
- 发表时间:2022
- 期刊:
- 影响因子:2.8
- 作者:Vergo,MaxwellT;Klassen-Landis,Marv;Li,Zhigang;Jiang,Meilin;Arnold,RobertM
- 通讯作者:Arnold,RobertM
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Zhigang Li其他文献
Zhigang Li的其他文献
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{{ truncateString('Zhigang Li', 18)}}的其他基金
Data Science Core: Interventions to improve alcohol-related comorbidities along the gut-brain axis in persons with HIV infection
数据科学核心:改善 HIV 感染者肠脑轴酒精相关合并症的干预措施
- 批准号:
10682453 - 财政年份:2021
- 资助金额:
$ 40.41万 - 项目类别:
Data Science Core: Interventions to improve alcohol-related comorbidities along the gut-brain axis in persons with HIV infection
数据科学核心:改善 HIV 感染者肠脑轴酒精相关合并症的干预措施
- 批准号:
10304324 - 财政年份:2021
- 资助金额:
$ 40.41万 - 项目类别:
Design and Analysis of Palliative Care Trials Evaluating Early Interventions
评估早期干预的姑息治疗试验的设计和分析
- 批准号:
8858688 - 财政年份:2014
- 资助金额:
$ 40.41万 - 项目类别:
Project 4: Evaluating mediation effects of the microbiome and epigenetics using high dimensional assays
项目 4:使用高维分析评估微生物组和表观遗传学的中介效应
- 批准号:
10091542 - 财政年份:2013
- 资助金额:
$ 40.41万 - 项目类别:
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