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A model-informed pr...
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Clewe, OskarUppsala universitet,Institutionen för farmaceutisk biovetenskap
(author)
A model-informed preclinical approach for prediction of clinical pharmacodynamic interactions of anti-TB drug combinations
- Article/chapterEnglish2018
Publisher, publication year, extent ...
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2017-11-09
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Oxford University Press (OUP),2018
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-386326
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386326URI
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https://doi.org/10.1093/jac/dkx380DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
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Background: Identification of pharmacodynamic interactions is not reasonable to carry out in a clinical setting for many reasons. The aim of this work was to develop a model-informed preclinical approach for prediction of clinical pharmacodynamic drug interactions in order to inform early anti-TB drug development.Methods: In vitro time-kill experiments were performed with Mycobacterium tuberculosis using rifampicin, isoniazid or ethambutol alone as well as in different combinations at clinically relevant concentrations. The multistate TB pharmacometric (MTP) model was used to characterize the natural growth and exposure-response relationships of each drug after mono exposure. Pharmacodynamic interactions during combination exposure were characterized by linking the MTP model to the general pharmacodynamic interaction (GPDI) model with successful separation of the potential effect on each drug's potency (EC50) by the combining drug(s).Results: All combinations showed pharmacodynamic interactions at cfu level, where all combinations, except isoniazid plus ethambutol, showed more effect (synergy) than any of the drugs alone. Using preclinical information, the MTP-GPDI modelling approach was shown to correctly predict clinically observed pharmacodynamic interactions, as deviations from expected additivity.Conclusions: With the ability to predict clinical pharmacodynamic interactions, using preclinical information, the MTP-GPDI model approach outlined in this study constitutes groundwork for model-informed input to the development of new and enhancement of existing anti-TB combination regimens.
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Wicha, Sebastian G.Uppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)sebwi783
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de Vogel, Corne P.Erasmus MC, Dept Med Microbiol & Infect Dis, Rotterdam, Netherlands
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de Steenwinkel, Jurriaan E. M.Erasmus MC, Dept Med Microbiol & Infect Dis, Rotterdam, Netherlands
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Simonsson, Ulrika S H,ProfessorUppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)usv12211
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Uppsala universitetInstitutionen för farmaceutisk biovetenskap
(creator_code:org_t)
Related titles
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In:Journal of Antimicrobial Chemotherapy: Oxford University Press (OUP)73:2, s. 437-4470305-74531460-2091
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