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Pharmacodynamic interaction of bedaquiline and delamanid co-administration on QTcF interval prolongation
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. (Pharmacometrics)ORCID iD: 0000-0002-1115-3809
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy. (Pharmacometrics)ORCID iD: 0000-0003-1258-8297
Frontier Science Foundation, Brookline, MA, USA.
Frontier Science Foundation, Brookline, MA, USA.
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Bedaquiline and delamanid are two drugs approved to treat drug-resistant tuberculosis, and each have been associated with QTc prolongation. We aimed to investigate the relationships between the drugs’ plasma concentrations and observed QTcF prolongation and to evaluate their combined effects on QTcF, using a model-based population approach. Furthermore, we predicted the safety profiles of once daily regimens. Data were obtained from a trial where participants were randomized 1:1:1 to receive bedaquiline , delamanid or bedaquiline+delamanid. The effect on QTcF of delamanid and/or its metabolite (DM-6705) and the pharmacodynamic interactions under co-administration, were explored based on a published model between bedaquiline’s metabolite (M2) and QTcF. The metabolites of each drug were found to be responsible for the drug-related QTcF prolongation. The final drug-effect model included a competitive interaction between M2 and DM-6705 acting on the same cardiac receptor and thereby reducing each other’s apparent potency, by 28% (95CI 22%-40%) for M2 and 33% (95CI 24%-54%) for DM-6705. The generated combined effect was not greater but close to “additivity” in the analysed concentration range. Predictions with the final model suggested a similar QT prolonging potential with novel simplified regimens with novel once daily dosing compared to the approved regimens, with a maximum median change from baseline QTcF increase of 20 ms in both regimens. The concentrations-QTcF relationship of the combination of bedaquiline and delamanid was best described by a competitive binding model involving the two main metabolites, and predictions from the model support the use of these drugs together in once daily regimens.

Keywords [en]
bedaquiline, delamanid, QTc prolongation, tuberculosis, pharmacodynamic interaction
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-470761OAI: oai:DiVA.org:uu-470761DiVA, id: diva2:1648107
Available from: 2022-03-29 Created: 2022-03-29 Last updated: 2022-03-30
In thesis
1. Pharmacokinetic, efficacy and safety modeling of new treatments against drug-resistant tuberculosis
Open this publication in new window or tab >>Pharmacokinetic, efficacy and safety modeling of new treatments against drug-resistant tuberculosis
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Tuberculosis (TB) is an ancient infectious disease that remains one of the greatest killers on the planet. Its eradication is impeded by the development of resistance to first-line treatment. Each year half a million patients are infected with drug-resistant (DR) TB. Of those, only 1 in 3 patients are started on treatment, and only half of the patients accessing treatment have a successful outcome. Fortunately, during the last decade, new drugs have been registered for treatment of DR-TB, such as bedaquiline and delamanid. The aim of this thesis was to develop pharmacometric models to assess the benefits and risks of these new drugs, as part of multidrug therapies.

Regarding pharmacokinetic (PK), a population PK model of delamanid and its metabolite DM-6705 was developed and absence of PK drug interaction with bedaquiline and dolutegravir was confirmed.

Regarding efficacy, a previously established relationship where bedaquiline exposures impact the half-life of the decline of the mycobacterial load in patients was validated with data from a more-difficult to treat population.

Regarding safety, firstly, the profile of bedaquiline toxicity was characterized by evaluating the time course of heart QTcF interval and hepatic enzymes levels. While bedaquiline’s metabolite concentrations were found to be responsible for the drug-related QTcF increase (in a model accounting for circadian rhythm patterns, time on study, effect of concomitant medication with QT liability, and patient demographics), no relationship could be detected between drug exposure and transaminase levels. Secondly, delamanid’s metabolite (and not delamanid) was found to play a significant role in QTcF prolongation. Lastly, in patients receiving both bedaquiline and delamanid, the pharmacodynamic drug interaction on QTcF interval was assessed and indicated no higher risk of safety events under the combination.

All in all, the developed models were able to predict the PK, efficacy and safety profiles of bedaquiline and/or delamanid, with a once daily dosing regimen, and supported the use of this novel regimen, more convenient both for patients and drug providers.

In summary, the pharmacometric approaches presented provide a quantitative understanding of desired and undesired effects of new treatments against DR-TB, and may help to define optimized anti-TB dosing regimens.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2022. p. 60
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Pharmacy, ISSN 1651-6192 ; 310
Keywords
pharmacokinetics, pharmacodynamics, pharmacometrics, nonlinear mixed effect models, tuberculosis, drug-resistance, bedaquiline, delamanid, metabolite, drug-drug interactions, QTc interval, transaminases, time-to-positivity
National Category
Pharmaceutical Sciences
Research subject
Pharmaceutical Science
Identifiers
urn:nbn:se:uu:diva-470843 (URN)978-91-513-1463-1 (ISBN)
Public defence
2022-05-20, Room B41, BMC, Husargatan 3, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2022-04-27 Created: 2022-03-30 Last updated: 2022-06-14

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Tanneau, LénaïgKarlsson, MatsSvensson, Elin

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