Visualizing classification of drugs used in psychotic disorders: A 'subway map' representing mechanisms, established classes and informal categories.

Crystal Zhou, David J Nutt, Simon Jc Davies
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引用次数: 4

Abstract

Drugs used to treat psychotic disorders ('antipsychotics') have been widely used in psychiatry since the introduction of chlorpromazine in the mid-1950s. The categorization of these drugs evolved in a piecemeal way, relying initially on grouping by chemical structure (e.g. phenothiazines, butyrophenones), then by epoch of introduction (e.g. first generation ('conventional') vs second generation ('atypical')). As psychopharmacological expertise has advanced, it has become possible to quantify affinities for each drug in this class for relevant receptors including dopamine D2, 5HT2A, 5HT2C, histamine H1 and others. However, until the recent emergence of a new generation of agents known collectively as dopamine D2 receptor partial agonists (e.g. aripiprazole, brexpiprazole and cariprazine), there had been little reference in drug classification to specific pharmacological properties. An overview of data on receptor affinities across multiple drugs and receptor types would permit categorization according to binding affinities and putative pharmacological mechanisms. In this paper, we have attempted to construct a 'subway map' of 32 drugs used for treatment of psychotic disorders. This design allows a visualization of both the historical classifications by structure and epoch of introduction, and of the binding affinities for key receptors based on appraisal of scientific literature. The map represents a step towards categorization by mechanism, allowing prescribers and patients to understand which drugs share common biological features and the extent to which drugs may have similarities and differences in their mechanisms. In addition, this approach may encourage more logical groupings of drugs to be used in systematic reviews and meta-analyses.

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精神疾病所用药物的可视化分类:一张“地铁地图”,表示机制、已建立的类别和非正式类别。
自20世纪50年代中期氯丙嗪问世以来,用于治疗精神障碍的药物(“抗精神病药”)已广泛应用于精神病学。这些药物的分类以零碎的方式发展,最初依赖于根据化学结构(例如吩噻嗪类,丁苯类)进行分组,然后根据引入时代(例如第一代(“常规”)与第二代(“非典型”))进行分组。随着精神药理学专业知识的进步,已经可以量化该类药物对多巴胺D2、5HT2A、5HT2C、组胺H1等相关受体的亲和力。然而,直到最近新一代被统称为多巴胺D2受体部分激动剂的药物(如阿立哌唑、brexpiprazole和cariprazine)的出现,在药物分类中很少涉及到特定的药理学性质。对多种药物和受体类型的受体亲和数据的概述将允许根据结合亲和和假定的药理学机制进行分类。在这篇论文中,我们试图构建一个包含32种用于治疗精神障碍药物的“地铁图”。这种设计可以可视化根据结构和引入时代的历史分类,以及基于科学文献评价的关键受体的结合亲和力。这张地图代表了向按机制分类迈出的一步,使处方医生和患者能够了解哪些药物具有共同的生物学特征,以及哪些药物在其机制上可能具有相似性和差异性的程度。此外,这种方法可能鼓励在系统评价和荟萃分析中使用更合乎逻辑的药物分组。
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