Mathematical modeling of fungal infection in immune compromised individuals: The effect of back mutation on drug treatment

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article number8324
Pages (from-to)66-76
Number of pages11
JournalJournal of Theoretical Biology
Volume385
DOIs
StatePublished - Nov 21 2015

Keywords

  • Bifurcations
  • Fungus
  • Resistant strains
  • Stability
  • Susceptible strains

ASJC Scopus subject areas

  • Applied Mathematics
  • Statistics and Probability
  • Modeling and Simulation
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Medicine(all)

Fingerprint Dive into the research topics of 'Mathematical modeling of fungal infection in immune compromised individuals: The effect of back mutation on drug treatment'. Together they form a unique fingerprint.

Cite this