Semi-Mechanism-Based Pharmacokinetic/Pharmacodynamic Model for the Combination Use of Dexamethasone and Gemcitabine in Breast Cancer

吉西他滨 药理学 药代动力学 药效学 体内 地塞米松 医学 药代动力学相互作用 癌症 药物相互作用 化学 内科学 生物 生物技术
作者
Yuan Yin,Xuan Zhou,Yupeng Ren,Shupei Zhou,Lijie Wang,Shuangmin Ji,Ming Hua,Liang Li,Wei Lu,Tianyan Zhou
出处
期刊:Journal of Pharmaceutical Sciences [Elsevier BV]
卷期号:104 (12): 4399-4408 被引量:15
标识
DOI:10.1002/jps.24629
摘要

Our study aimed at the investigation of in vivo anticancer effect of the combination use of dexamethasone (DEX) and gemcitabine (GM) as well as the development of pharmacokinetic/pharmacodynamic (PK/PD) models in MCF-7 xenograft model. Further, simulations were conducted to optimize doses and administration schedules. The inhibitory effect of different doses and administration schedules were investigated in MCF-7 xenograft model. Semi-mechanism-based PK/PD models were established based on the preclinical data to characterize the relationship between plasma concentration and the time course of the drug response quantitatively. The PK/PD models were further applied to predict and optimize doses and administration schedules, which would lead to tumor stasis by the end of the treatment. Synergistic effect was observed in the PD study in vivo and further confirmed by the estimated combination index ψ obtained from PK/PD models. The optimum dose regimen was selected as DEX 2 mg/kg, qd and GM 10 mg/kg, q2d based on the simulation results. In summary, the PD interaction between DEX and GM was demonstrated as synergism by both experimental results and modeling approach. Dosage regimens were optimized as predicted by modeling and simulations, which would provide reference for preclinical study and translational research as well.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
痴情志浩完成签到,获得积分10
刚刚
XX发布了新的文献求助10
刚刚
俏皮行云完成签到 ,获得积分10
6秒前
标致的代云完成签到,获得积分10
6秒前
7秒前
是鹤完成签到,获得积分10
7秒前
Zzz发布了新的文献求助10
7秒前
39271完成签到,获得积分10
9秒前
天外来物完成签到 ,获得积分10
10秒前
10秒前
10秒前
Laoxing258完成签到,获得积分10
11秒前
11秒前
顾矜应助明理的鼠标采纳,获得10
13秒前
Sicily完成签到,获得积分10
14秒前
充电宝应助qu采纳,获得10
15秒前
赵桓宁完成签到 ,获得积分10
15秒前
是鹤发布了新的文献求助10
15秒前
jiangmingjiao完成签到 ,获得积分10
16秒前
chenshiyi185发布了新的文献求助10
17秒前
南吕十八发布了新的文献求助30
17秒前
高大的飞扬完成签到 ,获得积分10
17秒前
空白完成签到,获得积分10
20秒前
21秒前
sanmu发布了新的文献求助10
24秒前
AtoZ完成签到 ,获得积分10
25秒前
qu发布了新的文献求助10
27秒前
Akim应助科研通管家采纳,获得30
27秒前
科研通AI2S应助科研通管家采纳,获得10
27秒前
乐乐应助科研通管家采纳,获得10
27秒前
wj完成签到 ,获得积分10
28秒前
宇宇发布了新的文献求助30
28秒前
28秒前
SciGPT应助科研通管家采纳,获得10
28秒前
lixin1924应助科研通管家采纳,获得10
28秒前
Hello应助科研通管家采纳,获得10
28秒前
顾矜应助科研通管家采纳,获得10
29秒前
小马甲应助科研通管家采纳,获得10
29秒前
bobo应助科研通管家采纳,获得10
29秒前
南吕十八完成签到,获得积分10
29秒前
高分求助中
液晶指向矢仿真分析数据集 8888
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Advanced Memory Technology 500
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6864488
求助须知:如何正确求助?哪些是违规求助? 8567208
关于积分的说明 18216751
捐赠科研通 6233048
什么是DOI,文献DOI怎么找? 3048801
关于科研通互助平台的介绍 2050421
邀请新用户注册赠送积分活动 2026568