Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
College of Pharmacy, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Int J Tuberc Lung Dis. 2018 Aug 1;22(8):937-944. doi: 10.5588/ijtld.17.0515.
Anti-tuberculosis formulations necessitate uninterrupted treatment to cure tuberculosis (TB), but are characterised by suboptimal adherence, which jeopardises therapeutic efficacy. Long-acting injectable (LAI) formulations or implants could address these associated issues.
niazid, rifapentine, bedaquiline and delamanid-in adults for treatment for latent tuberculous infection (LTBI).
PBPK models were developed and qualified against available clinical data by integrating drug physicochemical properties and in vitro and population pharmacokinetic data into a mechanistic description of drug distribution. Combinations of optimal dose and release rates were simulated such that plasma concentrations were maintained over the epidemiological cut-off or minimum inhibitory concentration for the dosing interval.
The PBPK model identified 1500 mg of delamanid and 250 mg of rifapentine as sufficient doses for monthly intramuscular administration, if a formulation or device can deliver the required release kinetics of 0.001-0.0025 h-1 and 0.0015-0.0025 h-1, respectively. Bedaquiline and isoniazid would require weekly to biweekly intramuscular dosing.
We identified the theoretical doses and release rates of LAI anti-tuberculosis formulations. Such a strategy could ease the problem of suboptimal adherence provided the associated technological complexities for LTBI treatment are addressed.
抗结核制剂需要不间断治疗才能治愈结核病(TB),但由于依从性差,疗效受到影响。长效注射(LAI)制剂或植入物可以解决这些相关问题。
在成人中,使用利福平、利福喷丁、贝达喹啉和德拉马尼治疗潜伏性结核感染(LTBI)。
通过将药物物理化学性质和体外及群体药代动力学数据整合到药物分布的机制描述中,开发并验证了 PBPK 模型,以使其与现有临床数据相吻合。模拟了最佳剂量和释放率的组合,以使血浆浓度在整个给药间隔期间维持在流行病学切点或最低抑菌浓度之上。
PBPK 模型确定,每月肌内注射 1500mg 德拉马尼和 250mg 利福喷丁,如果制剂或装置能够实现 0.001-0.0025 h-1 和 0.0015-0.0025 h-1 的所需释放动力学,则足以达到足够的剂量。贝达喹啉和异烟肼则需要每周或每两周肌内注射一次。
我们确定了 LAI 抗结核制剂的理论剂量和释放率。如果 LTBI 治疗的相关技术复杂性得到解决,这种策略可以缓解依从性差的问题。