Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/31688
Title: Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti
Authors: Maior, Caetano Souto
Sylvestre, Gabriel
Dias, Fernando Braga Stehling
Gomes, Gabriela
Freitas, Rafael Maciel de
Affilliation: Instituto Gulbenkian de Ciência Oeiras, Portugal
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Mosquitos Transmissores de Hematozoáios. Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz. Presidência. Rio de Janeiro, RJ, Brasil.
Universidade do Porto. CIBIO-InBIo. Centro de Investigação em Biodiversidade e Recursos Genéticos. Porto, Portugal / Liverpool School of Tropical Medicine. Liverpool, United Kingdom.
Fundação 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.
Abstract: Infection 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.
Keywords: Wolbachia
type 1 dengue virus
Aedes aegypti
Infection
Effects
keywords: Wolbachia
Efeitos
Infecção
vírus da dengue tipo 1
Aedes aegypti
Issue Date: 2018
Publisher: Public Library of Science
Citation: MAIOR, 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.
DOI: 10.1371/journal.pntd.e0006229
ISSN: 1935-2727
Copyright: open access
Appears in Collections:Presidência Fiocruz – Artigos de Periódicos
IOC - Artigos de Periódicos

Files in This Item:
File Description SizeFormat 
garbielsylvestre_rafaelfreitas_etal_IOC_2018.pdf1.97 MBAdobe PDFView/Open


FacebookTwitterDeliciousLinkedInGoogle BookmarksBibTex Format mendeley Endnote DiggMySpace

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.