Chemical Engineering and Process Development Division, Council of Scientific and Industrial Research-National Chemical Laboratory, Pune, India.
Academy of Scientific and Innovative Research, Council Of Scientific And Industrial Research-Human Resource Development Centre Campus, Ghaziabad, India.
CPT Pharmacometrics Syst Pharmacol. 2023 Sep;12(9):1274-1284. doi: 10.1002/psp4.13008. Epub 2023 Jul 16.
Tuberculosis (TB) is a leading cause of mortality attributed to an infectious agent. TB primarily targets the lungs, but in about 16% cases can affect other organs as well, giving rise to extrapulmonary TB (EPTB). However, an optimal regimen for EPTB treatment is not defined. Although the recommended treatment for most forms of EPTB is the same as pulmonary TB, the pharmacokinetics of EPTB therapy are not as well studied. To address this gap, we formulate a whole-body physiologically-based pharmacokinetic (PBPK) model for EPTB that for the first time includes the ability to simulate drug concentrations in the pleura and lymph node, the most commonly affected sites of EPTB. Using this model, we estimate the time-dependent concentrations, at potential EPTB infection sites, of the following four first-line anti-TB drugs: rifampicin, ethambutol, isoniazid, and pyrazinamide. We use reported plasma concentration kinetics data to estimate model parameters for each drug and validate our model using reported concentration data not used for model formulation or parameter estimation. Model predictions match the validation data, and reported pharmacokinetic parameters (maximum plasma concentration, time to reach maximum concentration) for the drugs. The model also predicts ethambutol, isoniazid, and pyrazinamide concentrations in the pleura that match reported experimental values from an independent study. For each drug, the predicted drug concentrations at EPTB sites are compared with their critical concentration. Simulations suggest that although rifampicin and isoniazid concentrations are greater than critical concentration values at most EPTB sites, the concentrations of ethambutol and pyrazinamide are lower than their critical concentrations at most EPTB sites.
结核病(TB)是由感染因子引起的主要致死原因。结核病主要影响肺部,但在约 16%的病例中,也可能影响其他器官,导致肺外结核病(EPTB)。然而,EPTB 的最佳治疗方案尚未确定。尽管大多数形式的 EPTB 的推荐治疗方法与肺结核相同,但 EPTB 治疗的药代动力学研究还不够充分。为了解决这一差距,我们为 EPTB 制定了一个全身生理药代动力学(PBPK)模型,该模型首次能够模拟 EPTB 中最常见的受累部位-胸膜和淋巴结中的药物浓度。使用该模型,我们估计了以下四种一线抗结核药物在潜在 EPTB 感染部位的时变浓度:利福平、乙胺丁醇、异烟肼和吡嗪酰胺。我们使用报告的血浆浓度动力学数据来估计每种药物的模型参数,并使用未用于模型构建或参数估计的报告浓度数据来验证我们的模型。模型预测与验证数据相符,并且与报告的药物药代动力学参数(最大血浆浓度、达到最大浓度的时间)相符。该模型还预测了乙胺丁醇、异烟肼和吡嗪酰胺在胸膜中的浓度,与独立研究中的报告实验值相匹配。对于每种药物,预测的 EPTB 部位药物浓度与临界浓度进行了比较。模拟表明,尽管利福平异烟肼在大多数 EPTB 部位的浓度大于临界浓度值,但乙胺丁醇和吡嗪酰胺在大多数 EPTB 部位的浓度低于其临界浓度值。