Division of Infectious Diseases and Hospital Epidemiology, Departments of Medicine and Clinical Research, University Hospital Basel, Basel, Switzerland.
University of Basel, Basel, Switzerland.
Clin Pharmacokinet. 2023 Feb;62(2):277-295. doi: 10.1007/s40262-022-01194-3. Epub 2022 Dec 26.
Obese individuals are often underrepresented in clinical trials, leading to a lack of dosing guidance.
This study aimed to investigate which physiological parameters and drug properties determine drug disposition changes in obese using our physiologically based pharmacokinetic (PBPK) framework, informed with obese population characteristics.
Simulations were performed for ten drugs with clinical data in obese (i.e., midazolam, triazolam, caffeine, chlorzoxazone, acetaminophen, lorazepam, propranolol, amikacin, tobramycin, and glimepiride). PBPK drug models were developed and verified first against clinical data in non-obese (body mass index (BMI) ≤ 30 kg/m) and subsequently in obese (BMI ≥ 30 kg/m) without changing any drug parameters. Additionally, the PBPK model was used to study the effect of obesity on the pharmacokinetic parameters by simulating drug disposition across BMI, starting from 20 up to 60 kg/m.
Predicted pharmacokinetic parameters were within 1.25-fold (71.5%), 1.5-fold (21.5%) and twofold (7%) of clinical data. On average, clearance increased by 1.6% per BMI unit up to 64% for a BMI of 60 kg/m, which was explained by the increased hepatic and renal blood flows. Volume of distribution increased for all drugs up to threefold for a BMI of 60 kg/m; this change was driven by pK for ionized drugs and logP for neutral and unionized drugs. C decreased similarly across all drugs while t remained unchanged.
Both physiological changes and drug properties impact drug pharmacokinetics in obese subjects. Clearance increases due to enhanced hepatic and renal blood flows. Volume of distribution is higher for all drugs, with differences among drugs depending on their pK/logP.
肥胖个体在临床试验中常常代表性不足,导致缺乏剂量指导。
本研究旨在使用我们基于生理学的药代动力学(PBPK)框架,结合肥胖人群特征,探讨哪些生理参数和药物特性决定肥胖人群药物处置的变化。
对十种有肥胖人群临床数据的药物(咪达唑仑、三唑仑、咖啡因、氯唑沙宗、对乙酰氨基酚、劳拉西泮、普萘洛尔、阿米卡星、妥布霉素和格列美脲)进行模拟。首先,针对非肥胖(体重指数(BMI)≤30kg/m)人群的临床数据开发和验证 PBPK 药物模型,然后在肥胖(BMI≥30kg/m)人群中不改变任何药物参数的情况下使用该模型。此外,通过模拟药物在 BMI 从 20 到 60kg/m 范围内的分布,研究肥胖对药代动力学参数的影响。
预测的药代动力学参数在 1.25 倍(71.5%)、1.5 倍(21.5%)和两倍(7%)的临床数据范围内。平均而言,BMI 每增加 1 个单位,清除率增加 1.6%,BMI 为 60kg/m 时增加 64%,这是由肝和肾血流增加引起的。所有药物的分布容积均增加,BMI 为 60kg/m 时增加至三倍;这种变化是由离子化药物的 pK 和中性及非离子化药物的 logP 驱动的。所有药物的 C 相似下降,而 t 保持不变。
生理变化和药物特性均影响肥胖受试者的药物药代动力学。清除率因肝和肾血流增加而增加。所有药物的分布容积均较高,药物之间的差异取决于其 pK/logP。