Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/31688
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dc.contributor.authorMaior, Caetano Souto
dc.contributor.authorSylvestre, Gabriel
dc.contributor.authorDias, Fernando Braga Stehling
dc.contributor.authorGomes, Gabriela
dc.contributor.authorFreitas, Rafael Maciel de
dc.date.accessioned2019-02-15T16:58:49Z
dc.date.available2019-02-15T16:58:49Z
dc.date.issued2018
dc.identifier.citationMAIOR, Caetano Souto et al. Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti. PLoS Negl. Trop. Dis., v. 12, n. 3, p. 1-16, Mar. 2018.
dc.identifier.issn1935-2727
dc.identifier.urihttps://www.arca.fiocruz.br/handle/icict/31688
dc.language.isoeng
dc.publisherPublic Library of Science
dc.rightsopen access
dc.subject.otherWolbachia
dc.subject.otherEfeitos
dc.subject.otherInfecção
dc.subject.othervírus da dengue tipo 1
dc.subject.otherAedes aegypti
dc.titleModel-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti
dc.typeArticle
dc.identifier.doi10.1371/journal.pntd.e0006229
dc.description.abstractenInfection is a complex and dynamic process involving a population of invading microbes, the host and its responses, aimed at controlling the situation. Depending on the purpose and level of organization, infection at the organism level can be described by a process as simple as a coin toss, or as complex as a multi-factorial dynamic model; the former, for instance, may be adequate as a component of a population model, while the latter is necessary for a thorough description of the process beginning with a challenge with an infectious inoculum up to establishment or elimination of the pathogen. Experimental readouts in the laboratory are often static, snapshots of the process, assayed under some convenient experimental condition, and therefore cannot comprehensively describe the system. Different from the discrete treatment of infection in population models, or the descriptive summarized accounts of typical lab experiments, in this manuscript, infection is treated as a dynamic process dependent on the initial conditions of the infectious challenge, viral growth, and the host response along time. Here, experimental data is generated for multiple doses of type 1 dengue virus, and pathogen levels are recorded at different points in time for two populations of mosquitoes: either carrying endosymbiont bacteria Wolbachia or not. A dynamic microbe/ host-response mathematical model is used to describe pathogen growth in the face of a host response like the immune system, and to infer model parameters for the two populations of insects, revealing a slight—but potentially important—protection conferred by the symbiont.
dc.creator.affilliationInstituto Gulbenkian de Ciência Oeiras, Portugal
dc.creator.affilliationFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Mosquitos Transmissores de Hematozoáios. Rio de Janeiro, RJ, Brasil.
dc.creator.affilliationFundação Oswaldo Cruz. Presidência. Rio de Janeiro, RJ, Brasil.
dc.creator.affilliationUniversidade do Porto. CIBIO-InBIo. Centro de Investigação em Biodiversidade e Recursos Genéticos. Porto, Portugal / Liverpool School of Tropical Medicine. Liverpool, United Kingdom.
dc.creator.affilliationFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Mosquitos Transmissores de Hematozoáios. Rio de Janeiro, RJ, Brasil / Instituto Nacional de Ciência e Tecnologia em Entomologia Molecular. Rio de Janeiro, Brasil.
dc.subject.enWolbachia
dc.subject.entype 1 dengue virus
dc.subject.enAedes aegypti
dc.subject.enInfection
dc.subject.enEffects
dc.identifier.eissn1935-2735
Appears in Collections:Presidência Fiocruz - Artigos de Periódicos
IOC - Artigos de Periódicos

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