Suppr超能文献

采用脑电图监测对首例人体研究中新分子实体的临床前惊厥信号进行随访的框架建议。

A Framework Proposal to Follow-Up on Preclinical Convulsive Signals of a New Molecular Entity in First-in-Human Studies Using Electroencephalographic Monitoring.

机构信息

Department of Biometrics, F. Hoffmann-La Roche AG, Basel, Switzerland.

Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche AG, Basel, Switzerland.

出版信息

Clin Pharmacol Ther. 2019 Nov;106(5):968-980. doi: 10.1002/cpt.1455. Epub 2019 May 31.

Abstract

Traditionally, in dose-escalating first-in-human (FiH) studies, a dose cap with a 10-fold safety margin to the no observed effect level in animals is implemented if convulsive events are observed in animals. However, the convulsive risk seen in animals does not generally translate to humans. Several lines of evidence are summarized indicating that in a dose-escalating setting, electroencephalographic epileptiform abnormalities occur at lower doses than clinical convulsive events. Therefore, we propose to consider the occurrence of epileptiform abnormalities in toxicology studies as premonitory signals for convulsions in dose-escalating FiH studies. Compared with the traditional dose-cap approach, this may allow the exploration of higher doses in FiH and, subsequently, phase II studies without compromising human safety. Similarly, the presence or absence of electroencephalographic epileptiform abnormalities may also aid the assessment of proconvulsive risk in situations of increased perpetrator burden as potentially present in pharmacokinetic and/or pharmacodynamic drug-drug interactions.

摘要

传统上,在递增剂量的首次人体(FiH)研究中,如果在动物中观察到惊厥事件,则实施剂量上限,其安全边际为动物中无观察到效应水平的 10 倍。然而,动物中观察到的惊厥风险通常不能转化为人类。有几条证据线总结表明,在递增剂量设置中,脑电图痫样异常发生在低于临床惊厥事件的剂量。因此,我们建议将毒理学研究中出现的痫样异常视为递增剂量 FiH 研究中惊厥的先兆信号。与传统的剂量上限方法相比,这可能允许在 FiH 研究和随后的 II 期研究中探索更高剂量,而不会危及人类安全。同样,脑电图痫样异常的存在与否也可能有助于评估在增加的致痫物负担的情况下(如在药代动力学和/或药效学药物相互作用中可能存在的情况)的致痫风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d119/6851537/e3ed9a0d0499/CPT-106-968-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验