Quantitative Determination of Ecological Niches for Polymicrobial Colonization in
Quantitative Determination of Ecological Niches for Polymicrobial Colonization in
批准号:
8605790
负责人:
Jayajit Das
金额:
$33.85万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-01-01 至 2017-12-31
关键词:
AdenovirusesAnimalsBacteriaChildChildhoodChinchilla (genus)Coculture TechniquesCommunitiesComplexComputer SimulationDiagnosisDifferential EquationDimensionsDiseaseEntropyGoalsHeterogeneityHomeostasisHumanImmuneImmune responseImmune systemIn VitroInfectionInfluenzaInterventionInvestigationKineticsLeadMethodsMicrobeMicrobial BiofilmsModelingMolecularMoraxella (Branhamella) catarrhalisNasopharynxNatureNontypable Haemophilus influenzaOrganOrganismOtitis MediaPhysicsPlant RootsPopulation DynamicsProcessRespiratory syncytial virusSterilityStreptococcus pneumoniaeSurfaceSystemTherapeuticTherapeutic InterventionTimeTriplet Multiple BirthUpper Respiratory InfectionsUpper respiratory tractVaccinesVariantViralVirusVirus DiseasesWorkbasecommensal microbescomplex biological systemscomputerized toolsinterdisciplinary approachmiddle earpopulation basedpublic health relevanceresearch studyresponsestatisticstherapeutic developmenttherapeutic vaccinetoolvaccine development
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Quantitative determination of ecological niches for polymicrobial colonization in OM Otitis media (OM) is a common pediatric disease usually caused by polymicrobial infection of the sterile middle ear by commensal bacteria that normally reside in the upper respiratory tract (URT). OM presents a unique and simple paradigm for studying basic mechanisms of host-microbiota interactions, where breakdown of homeostasis between a small community of commensal bacteria, nontypeable H. influenzae (NTHI), S. pneumoniae (Sp), and, M. catarrhalis (Mcat), and the host's immune system by a viral infection (such as RSV or influenza A) can lead to a diseased state. The mechanisms that underlie breakdown of the homeostasis between commensal bacteria and the host are not well understood. Multiple nonlinear interlinked processes spanning a wide range of spatial dimensions (molecular to organ level) and time scales (seconds to days) determine interactions between the main players (bacteria, viruses, immune responses) involved in OM. Therefore, it is difficult to decipher the underlying mechanisms solely through experiments. We propose to use a synergistic combination of computational tools rooted in statistical physics, non-linear population dynamics, and statistics, with wet experiments in the chinchilla URT to determine and quantify ecological niches that underlie polymicrobial infection/colonization of the URT in OM. In specific aim 1, we will quantitatively determine ecological niches for infection of the chinchilla middle ear by NTHI, Sp, and Mcat. In aim 2, we will determine mechanisms underlying synergy between one virus and one type of commensal bacteria in the chinchilla URT that could lead to infection of the middle ear by the bacterial species, and in the last aim, we will determine mechanisms that lead to multispecies infection of the middle ear by Mcat and NTHI upon a synergistic viral infection.
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