Population‐Based Exposure‐Efficacy Modeling of Ustekinumab in Patients With Moderate to Severe Plaque Psoriasis

乌斯特基努马 医学 银屑病面积及严重程度指数 银屑病 人口 药效学 内科学 安慰剂 加药 免疫学 疾病 药代动力学 英夫利昔单抗 病理 替代医学 环境卫生
作者
Honghui Zhou,Chuanpu Hu,Yaowei Zhu,Ming Lu,Sam Liao,Newman Yeilding,Hugh M. Davis
出处
期刊:The Journal of Clinical Pharmacology [Wiley]
卷期号:50 (3): 257-267 被引量:63
标识
DOI:10.1177/0091270009343695
摘要

Ustekinumab, a human immunoglobulin G1 kappa (IgG1k) monoclonal antibody that binds with high affinity to human interleukin-12 and interleukin-23, has demonstrated efficacy in patients with psoriasis. The objective of this study was to perform exposure-response modeling to increase the understanding of reduction in disease severity following treatment with ustekinumab in patients with moderate to severe psoriasis who participate in two phase III studies (PHOENIX 1 and PHOENIX 2). Patients were randomly assigned to receive ustekinumab 45 mg or 90 mg (n = 1312; 11,624 Psoriasis Area and Severity Index [PASI] scores) or placebo (n = 665; 3278 PASI scores). Disease severity was assessed using PASI scores. A population mechanism-based exposure-response model of ustekinumab using NONMEM was developed using serum ustekinumab concentrations and PASI scores. The pharmacodynamic response effect was the reduction in PASI score. The placebo effect, although minor, was also integrated into the model. None of the covariate factors evaluated (eg, demographics, baseline disease characteristics, comorbidities) significantly contributed to the between-subject variability in the pharmacodynamic parameters. The developed exposure-response model can serve as a basis to support future alternative dosing regimens for ustekinumab in patients with moderate to severe plaque psoriasis. A robust exposure-response relationship has been confirmed for ustekinumab in psoriasis.
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
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
周慧完成签到 ,获得积分10
刚刚
刚刚
dxtmm完成签到,获得积分10
刚刚
1秒前
1秒前
所所应助糊涂的MJ采纳,获得10
1秒前
1秒前
2秒前
2秒前
jgwang发布了新的文献求助10
2秒前
3秒前
jgwang发布了新的文献求助10
4秒前
4秒前
5秒前
6秒前
6秒前
6秒前
饱满的文涛完成签到,获得积分10
6秒前
jgwang发布了新的文献求助10
7秒前
舟舟发布了新的文献求助10
7秒前
肖福艳完成签到,获得积分10
7秒前
8秒前
jgwang发布了新的文献求助10
9秒前
黑茶发布了新的文献求助10
9秒前
10秒前
yuqiutong发布了新的文献求助10
10秒前
飞火发布了新的文献求助10
10秒前
11秒前
jgwang发布了新的文献求助10
12秒前
12秒前
魔幻萃完成签到,获得积分10
12秒前
zzs发布了新的文献求助10
12秒前
13秒前
拉长的香烟完成签到,获得积分10
14秒前
jgwang发布了新的文献求助10
14秒前
rosa5257完成签到 ,获得积分10
16秒前
16秒前
16秒前
16秒前
科研通AI6.2应助WYQ采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Social Psychology 600
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7643912
求助须知:如何正确求助?哪些是违规求助? 9216848
关于积分的说明 19773421
捐赠科研通 7209192
什么是DOI,文献DOI怎么找? 3276715
关于科研通互助平台的介绍 2438286
邀请新用户注册赠送积分活动 2274562