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Souto-Maior, Caetano, Sylvestre, Gabriel, Braga Stehling Dias, Fernando, Gomes, Gabriela 
ORCID: https://orcid.org/0000-0002-1454-4979 and Maciel-de-Freitas, Rafael
(2018)
'Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti'. PLoS Neglected Tropical Diseases, Vol 12, Issue 3, e0006339.
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pntd.0006339.s001.pdf - Supplemental Material Available under License Creative Commons Public Domain Dedication. Download (270kB) | Preview |
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PLoS_NTD_Model-based inference from multiple dose.pdf - Published Version Available under License Creative Commons Public Domain Dedication. Download (2MB) | Preview |
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.
| Item Type: | Article |
|---|---|
| Subjects: | QX Parasitology > QX 4 General works QX Parasitology > Insects. Other Parasites > QX 510 Mosquitoes QX Parasitology > Insects. Other Parasites > QX 525 Aedes WC Communicable Diseases > Virus Diseases > Infectious Mononucleosis. Arbovirus Infections > WC 528 Dengue |
| Faculty: Department: | Biological Sciences > Vector Biology Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1371/journal.pntd.0006339 |
| SWORD Depositor: | JISC Pubrouter |
| Depositing User: | Stacy Murtagh |
| Date Deposited: | 03 Apr 2018 15:53 |
| Last Modified: | 13 Sep 2019 16:05 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/8427 |
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