Modeling the Mechanism of Postantibiotic Effect and Determining Implications for Dosing Regimens
2009 (English)In: Journal of Mathematical Biology, ISSN 0303-6812, E-ISSN 1432-1416, Vol. 59, no 5, 1416-1432 p.Article in journal (Refereed) Published
A stochastic model is proposed to explain one possible underlying mechanism of the postantibiotic effect (PAE). This phenomenon, of continued inhibition of bacterial growth after removal of the antibiotic drug, is of high relevance in the context of optimizing dosing regimens. One clinical implication of long PAE lies in the possibility of increasing intervals between drug administrations. The model describes the dynamics of synthesis, saturation and removal of penicillin binding proteins (PBPs). High fractions of saturated PBPs are in the model associated with a lower growth capacity of bacteria. An analytical solution for the bivariate probability of saturated and unsaturated PBPs is used as a basis to explore optimal antibiotic dosing regimens. Our finding that longer PAEs do not necessarily promote for increased intervals between doses, might help for our understanding of data provided from earlier PAE studies and for the determination of the clinical relevance of PAE in future studies.
Place, publisher, year, edition, pages
2009. Vol. 59, no 5, 1416-1432 p.
Antibiotic resistance - Kolmogorov equations - Penicillin binding proteins - Postantibiotic effect
Mathematics Other Mathematics
IdentifiersURN: urn:nbn:se:su:diva-25711DOI: 10.1007/s00285-009-0249-8ISI: 000269058000007OAI: oai:DiVA.org:su-25711DiVA: diva2:200334
Part of urn:nbn:se:su:diva-84772009-02-052009-01-272010-07-19Bibliographically approved