Modeling the Complexity of Drug-Drug Interactions: A Physiologically-based Pharmacokinetic Study of Lenvatinib with Schisantherin A/Schisandrin A

药品 药代动力学 药理学 医学 化学
作者
Aoxiang Zheng,Dongsheng Yang,Chunyang Pan,Qingfeng He,Xiao Zhu,Xiaoqiang Xiang,Ping Ji
出处
期刊:European Journal of Pharmaceutical Sciences [Elsevier]
卷期号:196: 106757-106757
标识
DOI:10.1016/j.ejps.2024.106757
摘要

Lenvatinib's efficacy as a frontline targeted therapy for radioactive iodine-refractory thyroid carcinoma and advanced hepatocellular carcinoma owes to its inhibition of multiple tyrosine kinases. However, as a CYP3A4 substrate, lenvatinib bears susceptibility to pharmacokinetic modulation by co-administered agents. Schisantherin A (STA) and schisandrin A (SIA) — bioactive lignans abundant in the traditional Chinese medicinal Wuzhi Capsule — act as CYP3A4 inhibitors, engendering the potential for drug-drug interactions (DDIs) with lenvatinib. To explore potential DDIs between lenvatinib and STA/SIA, we developed a physiologically-based pharmacokinetic (PBPK) model for lenvatinib and used it to construct a DDI model for lenvatinib and STA/SIA. The model was validated with clinical trial data and used to predict changes in lenvatinib exposure with combined treatment. Following single-dose administration, the predicted area under the plasma concentration-time curve (AUC) and maximum plasma concentrations (Cmax) of lenvatinib increased 1.00- to 1.03-fold and 1.00- to 1.01-fold, respectively, in the presence of STA/SIA. Simulations of multiple-dose regimens revealed slightly greater interactions, with lenvatinib AUC0-t and Cmax increasing up to 1.09-fold and 1.02-fold, respectively. Our study developed the first PBPK and DDI models for lenvatinib as a victim drug. STA and SIA slightly increased lenvatinib exposure in simulations, providing clinically valuable information on the safety of concurrent use. Given the minimal pharmacokinetic changes, STA/SIA are unlikely to interact with lenvatinib through pharmacokinetic alterations synergistically but rather may enhance efficacy through inherent anti-cancer efficacy of STA/ SIA.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
cbq完成签到 ,获得积分10
2秒前
安屿发布了新的文献求助10
2秒前
3秒前
poppy发布了新的文献求助10
3秒前
清爽海云完成签到,获得积分20
4秒前
橘温茶暖完成签到 ,获得积分0
4秒前
Owen应助jia采纳,获得10
5秒前
英姑应助miemie采纳,获得10
6秒前
英俊的铭应助小聪采纳,获得10
7秒前
Zhangtao发布了新的文献求助10
7秒前
sun完成签到,获得积分10
7秒前
ny发布了新的文献求助10
10秒前
wzn完成签到,获得积分10
11秒前
深情安青应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
12秒前
w_应助俭朴的世界采纳,获得10
13秒前
13秒前
15秒前
15秒前
15秒前
tyanna发布了新的文献求助30
17秒前
失眠夏之发布了新的文献求助10
18秒前
hytdr发布了新的文献求助10
19秒前
风之子发布了新的文献求助10
20秒前
庄默羽发布了新的文献求助10
20秒前
20秒前
jia发布了新的文献求助10
21秒前
Maximuszhao完成签到,获得积分10
21秒前
23秒前
23秒前
w_应助李清照采纳,获得10
24秒前
我是老大应助失眠夏之采纳,获得10
25秒前
NexusExplorer应助trap采纳,获得10
25秒前
风颂发布了新的文献求助10
25秒前
anhao发布了新的文献求助10
26秒前
27秒前
Maximuszhao发布了新的文献求助40
28秒前
高分求助中
Evolution 2024
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Experimental investigation of the mechanics of explosive welding by means of a liquid analogue 1060
Die Elektra-Partitur von Richard Strauss : ein Lehrbuch für die Technik der dramatischen Komposition 1000
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 600
大平正芳: 「戦後保守」とは何か 550
Sustainability in ’Tides Chemistry 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3007908
求助须知:如何正确求助?哪些是违规求助? 2667105
关于积分的说明 7233925
捐赠科研通 2304345
什么是DOI,文献DOI怎么找? 1221840
科研通“疑难数据库(出版商)”最低求助积分说明 595342
版权声明 593410