Suppr超能文献

选择性 α7 烟碱型乙酰胆碱受体激动剂和正变构调节剂治疗精神分裂症的研究进展

Selective α7 nicotinic receptor agonists and positive allosteric modulators for the treatment of schizophrenia - a review.

机构信息

Department of Pharmaceutical Sciences, College of Pharmacy, University of Nebraska Medical Center , Omaha, NE, USA.

出版信息

Expert Opin Investig Drugs. 2020 Jun;29(6):603-610. doi: 10.1080/13543784.2020.1764938. Epub 2020 May 12.

Abstract

INTRODUCTION

Alpha 7 nicotinic acetylcholine receptor (α7 nAChR) partial agonists, agonists, and positive allosteric modulators (PAMs) have been in development for over a decade. The initial candidates were in clinical trials for a wide variety of diseases including schizophrenia, but there has yet to be a successful compound to make it to the market for any disorder. Although difficult to assess the cause of all the clinical failures, the lack of efficacy played a major role. The development of more selective compounds, may bring a successful compound to long-suffering schizophrenia patients.

AREAS COVERED

This article examines investigational agonists and positive allosteric modulators of the α7 nicotinic receptor in preclinical studies as well as clinical trials. Our search included the use of SciFinder, Google, and clinicaltrials.gov with search dates of 2015 to the present.

EXPERT OPINION

Researchers must rethink their approach should look more closely at the selectivity of new compounds and how to tackle the translational gap. Perhaps new positive allosteric modulators that can help minimize receptor desensitization and selectivity profiles can be a path forward for α7 nAChRs in schizophrenia.

摘要

简介

α7 烟碱型乙酰胆碱受体 (α7 nAChR) 部分激动剂、激动剂和正变构调节剂 (PAMs) 的开发已经超过十年。最初的候选药物已经在临床试验中用于治疗多种疾病,包括精神分裂症,但迄今为止,还没有一种成功的化合物可以用于任何疾病。尽管很难评估所有临床失败的原因,但疗效不佳是主要原因之一。开发更具选择性的化合物可能会为饱受折磨的精神分裂症患者带来成功的化合物。

涵盖领域

本文研究了在临床前研究和临床试验中,α7 烟碱受体的新型激动剂和正变构调节剂。我们的搜索包括使用 SciFinder、Google 和 clinicaltrials.gov,搜索日期为 2015 年至现在。

专家意见

研究人员必须重新思考他们的方法,应该更仔细地研究新化合物的选择性以及如何解决转化差距。也许新的正变构调节剂可以帮助最小化受体脱敏和选择性特征,这可能是精神分裂症中 α7 nAChR 的一个前进方向。

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