Publication:
The dynamics of drug action on the within-host population growth of infectious agents: Melding pharmacokinetics with pathogen population dynamics

dc.contributor.authorD. J. Austinen_US
dc.contributor.authorN. J. Whiteen_US
dc.contributor.authorR. M. Andersonen_US
dc.contributor.otherUniversity of Oxforden_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherCho Quan Hospitalen_US
dc.contributor.otherJohn Radcliffe Hospitalen_US
dc.date.accessioned2018-07-04T08:01:26Z
dc.date.available2018-07-04T08:01:26Z
dc.date.issued1998-10-07en_US
dc.description.abstractThe use of simple mathematical models to study the kinetics of drug action and decay within vertebrate hosts has a long history with a major objective being to derive drug dosage regimens that optimize efficacy and minimize toxicity to the patient. Mathematical models of the relationship between dosage, route of delivery, drug concentration in defined sites and effect on a particular pathogen are widely used in the pharmacological literature. A more recent literature is that concerned with the population dynamics of pathogen replication within the host subjected to pressures exerted by the human immune system. In this paper we develop a theoretical framework to meld both approaches with the aim of identifying threshold criteria that dictate the optimum pattern of drug administration for pathogen clearance from the host. In particular we show how the percentage reduction in microparasite abundance is related to the pharmacokinetic parameter, AUC, recording the area under the drug concentration-time curve within the treated patient, in terms of the parameters that define the population dynamics of the pathogen and the properties of the drug. Two particular pathogens are examined to illustrate the principles underpinning the dynamics of the pharmacokinetic-population dynamic models, namely HIV and Plasmodium falciparum. Criteria for pathogen persistence or elimination are derived for these specific models based on the definition of a basic reproductive number, R0, which measures the average number of secondary infected target cells in a host generated by a single infected cell (CD4 lymphocyte for HIV, and erythrocyte for P. falciparum) within a population of susceptible cells. For the pathogen to invade the host and persist over time, R0≤ 1. Under chemotherapeutic regimens, expressions for Re are derived allowing estimates to be made of the ideal treatment regime required to eliminate the pathogen, both for HIV and P. falciparum malaria.en_US
dc.identifier.citationJournal of Theoretical Biology. Vol.194, No.3 (1998), 313-339en_US
dc.identifier.doi10.1006/jtbi.1997.0438en_US
dc.identifier.issn00225193en_US
dc.identifier.other2-s2.0-0032494456en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/18244
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0032494456&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectImmunology and Microbiologyen_US
dc.subjectMathematicsen_US
dc.titleThe dynamics of drug action on the within-host population growth of infectious agents: Melding pharmacokinetics with pathogen population dynamicsen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0032494456&origin=inwarden_US

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