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Mathematical modeling of fungal infection in immune compromised individuals: The effect of back mutation on drug treatment.
Wirkus, Stephen; Camacho, Erika T; Marshall, Pamela A.
Afiliación
  • Wirkus S; School of Mathematical & Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA. Electronic address: swirkus@asu.edu.
  • Camacho ET; School of Mathematical & Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA. Electronic address: erika.camacho@asu.edu.
  • Marshall PA; School of Mathematical & Natural Sciences, Arizona State University, 4701 W. Thunderbird Rd, Glendale, AZ 85306, USA. Electronic address: pamela.marshall@asu.edu.
J Theor Biol ; 385: 66-76, 2015 Nov 21.
Article en En | MEDLINE | ID: mdl-26341388
ABSTRACT
We present a mathematical model that describes treatment of a fungal infection in an immune compromised patient in which both susceptible and resistant strains are present with a mutation allowing the susceptible strain to become resistant as well as a back mutation allowing resistant fungus to again become susceptible. The resulting nonlinear differential equations model the biological outcome, in terms of strain growth and cell number, when an individual is treated with a fungicidal or fungistatic drug. The model demonstrates that under any levels of the drug both strains will be in stable co-existence and high levels of treatment will never completely eradicate the susceptible strain. A modified model is then described in which the drug is changed to one in which both strains are susceptible, and subsequently, at the appropriate level of treatment, complete eradication of both fungal strains ensues. We discuss the model and implications for treatment options within the context of an immune compromised patient.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Inmunológicos / Hongos / Mutación / Micosis Límite: Humans Idioma: En Revista: J Theor Biol Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Inmunológicos / Hongos / Mutación / Micosis Límite: Humans Idioma: En Revista: J Theor Biol Año: 2015 Tipo del documento: Article