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DOI 10.1101/2023.04.12.536604

Медицинская библиотека · bioRxiv : the preprint server for biology · 2023

Using dynamic oral dosing of rifapentine and rifabutin to simulate exposure profiles of long-acting formulations in a mouse model of tuberculosis preventive therapy.

Chang Yong S, Li Si-Yang, Pertinez Henry, Betoudji Fabrice, Lee Jin, Rannard Steven P, Owen Andrew, Nuermberger Eric L, Ammerman Nicole C

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Аннотация

Administration of tuberculosis preventive therapy (TPT) to individuals with latent tuberculosis infection is an important facet of global tuberculosis control. The use of long-acting injectable (LAI) drug formulations may simplify and shorten regimens for this indication. Rifapentine and rifabutin have anti-tuberculosis activity and physiochemical properties suitable for LAI formulation, but there are limited data available for determining the target exposure profiles required for efficacy in TPT regimens. The objective of this study was to determine exposure-activity profiles of rifapentine and rifabutin to inform development of LAI formulations for TPT. We utilized a validated paucibacillary mouse model of TPT in combination with dynamic oral dosing of both drugs to simulate and understand exposure-activity relationships to inform posology for future LAI formulations. This work identified several LAI-like exposure profiles of rifapentine and rifabutin that, if achieved by LAI formulations, could be efficacious as TPT regimens and thus can serve as experimentally-determined targets for novel LAI formulations of these drugs. We present novel methodology to understand the exposure-response relationship and inform the value proposition for investment in development of LAI formulations that has utility beyond latent tuberculosis infection.

Для цитирования: Chang Yong S, Li Si-Yang, Pertinez Henry, Betoudji Fabrice, Lee Jin, Rannard Steven P, Owen Andrew, Nuermberger Eric L, Ammerman Nicole C. Using dynamic oral dosing of rifapentine and rifabutin to simulate exposure profiles of long-acting formulations in a mouse model of tuberculosis preventive therapy.. bioRxiv : the preprint server for biology. 2023. DOI: 10.1101/2023.04.12.536604.
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