Publication:
Semi-mechanistic PK/PD modelling of combined polymyxin B and minocycline against a polymyxin-resistant strain of Acinetobacter baumannii.

dc.contributor.authorAranzana-Climent, V
dc.contributor.authorBuyck, J M
dc.contributor.authorSmani, Y
dc.contributor.authorPachón-Diaz, J
dc.contributor.authorMarchand, S
dc.contributor.authorCouet, W
dc.contributor.authorGrégoire, N
dc.date.accessioned2023-02-08T14:40:17Z
dc.date.available2023-02-08T14:40:17Z
dc.date.issued2020-01-30
dc.description.abstractTo expand on previous reports of synergy between polymyxin B (PMB) and minocycline (MIN) against Acinetobacter baumannii; and to gain insight into the qualitative and quantitative determinants of their synergy. A semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model was developed on the basis of data from in vitro time-kill experiments with determination of resistant bacterial count to describe the effects of PMB and MIN alone and in combination. The model was enriched by complementary experiments providing information on the characteristics of the resistant subpopulation. The model successfully described the data and made possible quantification of the strength of interaction between the two drugs and formulation of hypotheses about the mechanisms of the observed interaction. The effect of the combination was driven by MIN, with PMB acting as an helper drug; simulations at clinically achievable concentrations showed that 1.5 mg/L MIN +0.2 mg/L PMB is expected to produce sustained killing over 30 hours, while 0.3 mg/L MIN +1 mg/L PMB is met by bacterial regrowth. Interaction equations showed that maximal synergy is reached for PMB concentrations ≥0.1 mg/L and MIN concentrations ≥1 mg/L. Semi-mechanistic PK/PD modelling was used to investigate the quantitative determinants of synergy between PMB and MIN on a PMB-resistant A. baumannii strain. The developed model, improving on usual study techniques, showed asymmetry in the drug interaction, as PMB acted mostly as a helper to MIN, and provided simulations as a tool for future studies.
dc.identifier.doi10.1016/j.cmi.2020.01.017
dc.identifier.essn1469-0691
dc.identifier.pmid32006693
dc.identifier.unpaywallURLhttp://www.clinicalmicrobiologyandinfection.com/article/S1198743X20300422/pdf
dc.identifier.urihttp://hdl.handle.net/10668/15028
dc.issue.number9
dc.journal.titleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
dc.journal.titleabbreviationClin Microbiol Infect
dc.language.isoen
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number1254.e9-1254.e15
dc.pubmedtypeJournal Article
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAcinetobacter baumannii
dc.subjectCombinations
dc.subjectGPDI
dc.subjectMinocycline
dc.subjectPK/PD modelling
dc.subjectPolymyxin B
dc.subject.meshAcinetobacter baumannii
dc.subject.meshAnti-Bacterial Agents
dc.subject.meshDrug Resistance, Bacterial
dc.subject.meshMinocycline
dc.subject.meshModels, Biological
dc.subject.meshPolymyxin B
dc.titleSemi-mechanistic PK/PD modelling of combined polymyxin B and minocycline against a polymyxin-resistant strain of Acinetobacter baumannii.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number26
dspace.entity.typePublication

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