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dc.contributor.author
Vega Royero, Shirlene Patricia  
dc.contributor.author
Sibona, Gustavo Javier  
dc.contributor.author
Castaño, S.  
dc.contributor.author
Condat, Carlos  
dc.date.available
2018-07-04T19:28:54Z  
dc.date.issued
2015-08  
dc.identifier.citation
Vega Royero, Shirlene Patricia; Sibona, Gustavo Javier; Castaño, S.; Condat, Carlos; Modeling Parasite Reduction Mechanisms in Chagas Disease; World Scientific; Journal Of Biological Systems; 23; 8-2015; S1-S15  
dc.identifier.issn
0218-3390  
dc.identifier.uri
http://hdl.handle.net/11336/51235  
dc.description.abstract
Various procedures have been proposed to reduce parasitemia during Chagas disease. Here we analyze in detail models developed to predict the possible outcomes of two of these treatments. The model solutions reproduce available experimental population data and can be used as tools to help researchers to find a cure or, at least, an optimal treatment to reduce cardiac cell damage. In particular, we study how the phase diagram describing the infection outcome is modified by the application of the ganglioside GM1, finding the optimum concentration of the drug in terms of the parameters characterizing its influence on the parasite-host interaction. We also investigate the use of the non-pathogenic parasite T. rangeli to reduce T. cruzi load in a mixed infection, finding that this method is not effective against all T. cruzi strains. Furthermore, we compare phase portraits of the evolution of the disease for a single and a mixed infection, and evaluate the cell damage as a function of the time elapsed between both infections, remarking on the temporary protective effect of the reaction to T. rangeli.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
World Scientific  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Chagas Disease  
dc.subject
Gm1  
dc.subject
Hormesis  
dc.subject
T. Cruzi  
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T. Rangeli  
dc.subject.classification
Otras Ciencias Biológicas  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Modeling Parasite Reduction Mechanisms in Chagas Disease  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-07-03T21:52:59Z  
dc.journal.volume
23  
dc.journal.pagination
S1-S15  
dc.journal.pais
Singapur  
dc.description.fil
Fil: Vega Royero, Shirlene Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.description.fil
Fil: Sibona, Gustavo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.description.fil
Fil: Castaño, S.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.description.fil
Fil: Condat, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina  
dc.journal.title
Journal Of Biological Systems  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1142/S021833901540001X  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.worldscientific.com/doi/abs/10.1142/S021833901540001X