Industry Perspective on Therapeutic Peptide Drug–Drug Interaction Assessments During Drug Development: A European Federation of Pharmaceutical Industries and Associations White Paper

药物开发 药品 制药工业 标杆管理 药理学 白皮书 药物与药物的相互作用 医学 业务 政治学 营销 法学
作者
Carolina Säll,Upendra A. Argikar,Kari R. Fonseca,Constanze Hilgendorf,Filipe Lopes,Jens Riedel,Hilmar Schiller,Anders Sonesson,Kenichi Umehara,Kai Wang
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:113 (6): 1199-1216 被引量:13
标识
DOI:10.1002/cpt.2847
摘要

Drug-drug interaction (DDI) assessments are well defined in health authority guidelines for small molecule drugs, and US Food and Drug Administration (FDA) draft guidance is now available for therapeutic proteins. However, there are currently no regulatory guidelines outlining DDI assessments for therapeutic peptides, which poses significant uncertainty and challenges during drug development for this heterogenous class of molecules. A cross-industry peptide DDI working group consisting of experts from 10 leading companies was formed under the sponsorship of the European Federation of Pharmaceutical Industries and Associations. We aimed to capture the range of DDI studies undertaken for peptide drugs by (i) anonymously surveying relevant companies involved in peptide drug development to better understand DDI study type/timing currently performed and (ii) compiling a database containing in vitro / clinical DDI data from submission packages for recently approved peptide drugs. Our analyses highlight significant gaps and uncertainty in the field. For example, the reported timing of in vitro peptide DDI studies, if performed, vary substantially across responding companies from early research to phase III. Nearly all in vitro cytochrome P450 / transporter inhibition studies reported in the survey were negative. For the few positive hits reported, no clinical follow-up studies were performed, questioning the clinical relevance of these findings. Furthermore, available submission packages reveal DDI likelihood is low for peptides >2 kDa, making it reasonable to adopt a risk-based approach during drug development for larger peptides. By benchmarking the landscape of peptide DDI activities across the industry, we set the stage for future discussions with health authorities on harmonizing peptide DDI approaches.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
共享精神应助lewis17采纳,获得10
刚刚
刚刚
ChenHan应助潇洒的凝梦采纳,获得10
1秒前
1秒前
新威宝贝发布了新的文献求助10
2秒前
风中钥匙发布了新的文献求助10
2秒前
2秒前
呆萌初蝶发布了新的文献求助10
4秒前
王瑞完成签到,获得积分10
4秒前
zjgjnu完成签到,获得积分10
4秒前
modesty发布了新的文献求助10
5秒前
123完成签到 ,获得积分10
5秒前
不会游泳的鱼完成签到 ,获得积分10
5秒前
6秒前
huichuanyin完成签到 ,获得积分10
6秒前
十七完成签到 ,获得积分10
6秒前
善学以致用应助Lilian采纳,获得10
6秒前
CodeCraft应助元元采纳,获得10
7秒前
chen同学完成签到 ,获得积分10
7秒前
111111完成签到,获得积分20
7秒前
7秒前
8秒前
清漪完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
研友_Z7XY28发布了新的文献求助10
10秒前
11秒前
车紊完成签到,获得积分10
11秒前
慕青应助blablawindy采纳,获得10
12秒前
高灵雨完成签到,获得积分10
12秒前
King完成签到,获得积分10
12秒前
顺利夏之发布了新的文献求助10
12秒前
英吉利25发布了新的文献求助30
13秒前
慕青应助n1gern采纳,获得10
13秒前
13秒前
陈陈完成签到,获得积分10
13秒前
lewis17发布了新的文献求助10
14秒前
14秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
徐淮辽南地区新元古代叠层石及生物地层 500
Coking simulation aids on-stream time 450
康复物理因子治疗 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4016913
求助须知:如何正确求助?哪些是违规求助? 3557067
关于积分的说明 11323667
捐赠科研通 3289813
什么是DOI,文献DOI怎么找? 1812563
邀请新用户注册赠送积分活动 888139
科研通“疑难数据库(出版商)”最低求助积分说明 812136