Enhancing Precision Drug Therapy and build Pharmacokinetic model in Pregnant Women: PBPK Modeling of Antiviral drugs

MOHAMED IBRAHIM ABDULSAMAD, Ashraf Anass
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Abstract

PBPK/PD modeling is essential in modern drug development. Traditional drug development methods frequently rely on trial and error, which can be time-consuming, costly, and could be risky. Predicting Pharmacokinetics (PK) of drugs in pregnant women, encompassing the intricate aspect of placental drug transfer, remains a complex task. This study was to compare simulated or predicted and observed (previously published approaches) pharmacokinetic parameters among the four antiviral drugs in pregnant and non-pregnant women. In addition, this investigation endeavors to construct and assess physiologically-based pharmacokinetic (PBPK) models specific to maternal-fetal interactions for four antiviral drugs, Acyclovir, Emtricitabine, Dolutegravir (DTG) and Raltegravir (RAL). PBPK models were built with the Open Systems Pharmacology software suite (PK-Sim/MoBi). Different approaches to inform placental drug transfer were applied and compared. Model performance was evaluated using in vivo all 4 aforementioned antiviral maternal plasma concentrations during the 2nd and 3rd trimesters and umbilical vein concentrations at delivery. All clinical in vivo data were obtained from the International Maternal peadiatric and Adolescent AIDS Clinical Trials (IMPAACT) Network P1026s study. The PBPK models successfully predicted plasma concentration-time profiles of four antiviral drugs in the 2nd and 3rd trimesters and most predicted PK parameters fell within a 1.33-fold error range. Predicted umbilical vein concentrations of DTG among others were in reasonable agreement with in vivo data but were sensitive to changes in the placental partition coefficient and transplacental clearance. Maternal-fetal PBPK modeling reliably predicted maternal PK of early mentioned antiviral during pregnancy. For the fetal PK, data on the unbound fraction of highly protein-bound DTG has proven to be important to adequately capture changes in total clearance in silico. More research efforts, along with clinical data, are needed to verify the predictions of fetal PK of antiviral. In conclusion, the findings suggest the feasibility of employing physiologically-based pharmacokinetic (PBPK) models to assess the disposition of antiviral drugs in pregnant women and their fetuses.
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加强精准药物治疗,建立孕妇药代动力学模型:抗病毒药物的 PBPK 模型
PBPK/PD 建模在现代药物开发中至关重要。传统的药物开发方法往往依赖于试验和错误,这不仅耗时长、成本高,而且可能存在风险。预测药物在孕妇体内的药代动力学(PK),包括胎盘药物转移的复杂方面,仍然是一项复杂的任务。本研究旨在比较四种抗病毒药物在孕妇和非孕妇中的模拟或预测药代动力学参数,以及观察到的药代动力学参数(以前发表的方法)。此外,本研究还致力于构建和评估四种抗病毒药物(阿昔洛韦、恩曲他滨、多替拉韦(DTG)和雷替拉韦(RAL))的基于生理学的药代动力学(PBPK)模型,以了解母婴之间的相互作用。使用开放系统药理学软件套件(PK-Sim/MoBi)建立了 PBPK 模型。应用并比较了不同的胎盘药物转移方法。使用上述所有 4 种抗病毒药物的母体血浆浓度(孕期第 2 个和第 3 个三个月)和分娩时的脐静脉浓度对模型性能进行了评估。所有体内临床数据均来自国际母婴和青少年艾滋病临床试验(IMPAACT)网络 P1026s 研究。PBPK模型成功预测了四种抗病毒药物在第二和第三孕期的血浆浓度-时间曲线,大多数预测的PK参数误差在1.33倍范围内。预测的 DTG 等药物的脐静脉浓度与体内数据基本一致,但对胎盘分配系数和经胎盘清除率的变化比较敏感。母体-胎儿 PBPK 模型可靠地预测了妊娠期早发型抗病毒药物的母体 PK。对于胎儿的 PK 来说,高蛋白结合型 DTG 的非结合部分的数据已被证明对于充分捕捉硅学中总清除率的变化非常重要。要验证抗病毒药物的胎儿 PK 预测值,还需要更多的研究工作和临床数据。总之,研究结果表明,采用基于生理的药代动力学(PBPK)模型来评估抗病毒药物在孕妇及其胎儿体内的处置是可行的。
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