Suppr超能文献

中枢神经系统药物发现中的血脑屏障评估。

Assessment of the blood-brain barrier in CNS drug discovery.

机构信息

Immunoinflammation Centre of Excellence for Drug Discovery, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, SG1 2NY, UK.

出版信息

Neurobiol Dis. 2010 Jan;37(1):33-7. doi: 10.1016/j.nbd.2009.07.033. Epub 2009 Aug 5.

Abstract

A wide variety of models have been developed over the years to predict blood-brain barrier (BBB) penetration, most of them have focussed on predicting total concentrations of drug and then expressing this as a brain:blood (or plasma) ratio. This approach is somewhat flawed and fails to address the critical issue of understanding the relationship between access of free drug to the requisite site of action. In this short review, we highlight the need for an integrated approach and whilst blood-brain barrier permeability is an important determinant in achieving efficacious CNS drug concentrations it should not be viewed or measured in isolation. Optimal CNS penetration is achieved through the correct balance of permeability, a low potential for active efflux and the appropriate physicochemical properties that allow for drug partitioning and distribution into brain tissue. Such an approach should enhance and accelerate our understanding and ability to predict CNS efficacy in terms of free drug concentrations and the rate at which they are achieved.

摘要

多年来已经开发了多种模型来预测血脑屏障(BBB)的穿透性,其中大多数模型都集中于预测药物的总浓度,然后将其表示为脑:血(或血浆)比值。这种方法有些缺陷,未能解决理解游离药物到达必要作用部位之间关系的关键问题。在这篇简短的综述中,我们强调了需要采用综合方法,尽管血脑屏障通透性是实现有效的中枢神经系统药物浓度的重要决定因素,但不应孤立地看待或测量通透性。通过正确平衡通透性、低主动外排潜力以及允许药物分配和分布到脑组织中的适当物理化学性质,可以实现最佳的中枢神经系统穿透性。这种方法应该增强并加速我们对游离药物浓度和达到这些浓度的速度的理解和预测中枢神经系统疗效的能力。

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