Suppr超能文献

治疗重度抑郁症的新兴药物。

Emerging drugs for major depressive disorder.

机构信息

Perelman School of Medicine of the University of Pennsylvania, Philadelphia Veterans Affairs Medical Center, 3900 Woodland Avenue, Philadelphia, PA 19104, USA.

出版信息

Expert Opin Emerg Drugs. 2012 Mar;17(1):105-26. doi: 10.1517/14728214.2012.660146. Epub 2012 Feb 20.

Abstract

INTRODUCTION

Major depressive disorder (MDD) remains a major public health concern, and one that continues to suffer an incompletely-met need for effective and acceptable treatments. The development of antidepressants, to date, has focused primarily on increasing monoamine neurotransmission with increasing efficacy while minimizing adverse effects. Medications currently recommended as 'first-line' are far more tolerable than the older medications they replaced, but as many as 70% of patients continue to suffer significant depressive symptoms after treatment with one of these agents, and as many as 50% will discontinue a trial due to issues with acceptability. This review will summarize antidepressants that have recently entered the market as well as those still in development to help characterize the current state of antidepressant development.

AREAS COVERED

Currently available first-line antidepressants are reviewed with respect to efficacy and tolerability, and their weaknesses are discussed as targets for future development. The background, clinical trial data and potential significance of the three most recently introduced antidepressants (trazodone-ER, desvenlafaxine and vilazodone) and the most recently approved augmentation agents (aripiprazole and quetiapine) are discussed. Following a review of the current market, all medications currently in Phase II or later clinical trials are listed and discussed, based on a thorough review of the US National Institutes of Health clinicaltrials.gov index for trials using medications to treat MDD and a search of the Informa Pharmaprojects database for medications currently being developed for a depression indication. Compounds thus identified were then used as search terms in a PubMed search of each medication. Based on pharmacologic properties, medications in development were grouped into those acting on: i) monoamine neurotransmission; ii) cholinergic neurotransmission; iii) glutamatergic neurotransmission; iv) opioid receptors; v) sigma receptors; vi) neurokinin receptors; vii) corticotrophin-releasing factor receptors and viii) other mechanisms. In the discussion of each, a brief review of the pharmacology and physiology of the related system is provided. Potential issues for the future of antidepressant development and an expert opinion are discussed.

EXPERT OPINION

The past decade has not yielded a large number of new antidepressants and, with the possible exception of agomelatine, none of the newer medications that have been introduced have decisively addressed the several unmet needs in this area of therapeutics. Among the various novel strategies that are being evaluated, results of several small studies of ketamine suggest that drugs that modulate glutamatergic neurotransmission may hold the greatest promise for exerting rapid and large antidepressant effects in patients who have not responded to SSRIs or SNRIs.

摘要

简介

重度抑郁症(MDD)仍然是一个主要的公共卫生问题,并且在治疗方面仍然存在着未满足的需求,需要有效的和可接受的治疗方法。迄今为止,抗抑郁药的开发主要集中在提高单胺神经递质传递的功效,同时尽量减少不良反应。目前被推荐为“一线”的药物比它们所替代的旧药物更耐受,但多达 70%的患者在使用这些药物之一治疗后仍有明显的抑郁症状,多达 50%的患者会因可接受性问题而停止试验。本文综述了最近上市和仍在开发中的抗抑郁药,以帮助描述抗抑郁药开发的现状。

涵盖领域

目前的一线抗抑郁药的疗效和耐受性进行了回顾,并讨论了其弱点,作为未来开发的目标。讨论了最近引入的三种最新型抗抑郁药(曲唑酮 ER、去甲文拉法辛和维拉佐酮)和最近批准的增效剂(阿立哌唑和喹硫平)的背景、临床试验数据和潜在意义。在对当前市场进行回顾后,根据对美国国立卫生研究院临床试验.gov 网站上使用药物治疗 MDD 的临床试验索引和 Informa Pharmaprojects 数据库中用于治疗抑郁症适应症的药物的全面检索,列出并讨论了目前处于 II 期或更晚临床试验阶段的所有药物。然后,使用这些化合物作为搜索词,在 PubMed 中搜索每种药物的搜索。根据药理学特性,将开发中的药物分为以下几类:i)单胺神经递质传递;ii)胆碱能神经递质传递;iii)谷氨酸能神经递质传递;iv)阿片受体;v)sigma 受体;vi)神经激肽受体;vii)促皮质素释放因子受体;viii)其他机制。在讨论每种药物时,简要回顾了相关系统的药理学和生理学。讨论了未来抗抑郁药开发的潜在问题和专家意见。

专家意见

过去十年并没有产生大量的新型抗抑郁药,而且除了阿戈美拉汀之外,新引入的药物中没有一种能够明确解决这一治疗领域的几个未满足的需求。在正在评估的各种新策略中,几项关于氯胺酮的小型研究结果表明,调节谷氨酸能神经递质传递的药物可能在对 SSRI 或 SNRIs 无反应的患者中产生快速和大的抗抑郁作用方面具有最大的前景。

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