氯胺酮使用障碍:临床前、临床和神经影像学证据支持所提出的作用机制

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Leah Vines , Diana Sotelo , Allison Johnson, Evan Dennis, Peter Manza, Nora D. Volkow, Gene-Jack Wang
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引用次数: 4

摘要

氯胺酮是一种非竞争性n -甲基- d -天冬氨酸(NMDA)受体拮抗剂,在医学上被专门用作麻醉剂,并对神经精神疾病的病理生理学产生了新的见解。临床研究表明,低剂量的亚麻醉氯胺酮对抑郁症患者产生抗抑郁作用。然而,由于其强化作用和高转移和滥用的可能性,其作为精神疾病治疗的使用受到限制。临床前研究的重点是了解氯胺酮抗抑郁作用的分子机制,但确切的机制尚未阐明。本文综述了氯胺酮对NMDA受体的直接抑制和去抑制、对氨甲基膦酸受体(AMPAR)的激活以及对单胺能系统的增强激活等作用机制的不同假设。提出的机制不是相互排斥的,它们的综合影响可能会造成观察到的结构和功能神经损伤。长期使用氯胺酮会对啮齿动物和人类的大脑结构、功能和神经发育产生影响。它的滥用在过去20年中迅速增加,是亚洲最常见的成瘾药物之一。提出的作用机制和支持神经成像数据允许开发工具,使用机器学习方法识别氯胺酮使用障碍(KUD)的“生物型”,这可以为干预和治疗提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ketamine use disorder: preclinical, clinical, and neuroimaging evidence to support proposed mechanisms of actions

Ketamine, a noncompetitive N-methyl-D-aspartate (NMDA) receptor antagonist, has been exclusively used as an anesthetic in medicine and has led to new insights into the pathophysiology of neuropsychiatric disorders. Clinical studies have shown that low subanesthetic doses of ketamine produce antidepressant effects for individuals with depression. However, its use as a treatment for psychiatric disorders has been limited due to its reinforcing effects and high potential for diversion and misuse. Preclinical studies have focused on understanding the molecular mechanisms underlying ketamine's antidepressant effects, but a precise mechanism had yet to be elucidated. Here we review different hypotheses for ketamine's mechanism of action including the direct inhibition and disinhibition of NMDA receptors, aminomethylphosphonic acid receptors (AMPAR) activation, and heightened activation of monoaminergic systems. The proposed mechanisms are not mutually exclusive, and their combined influence may exert the observed structural and functional neural impairments. Long term use of ketamine induces brain structural, functional impairments, and neurodevelopmental effects in both rodents and humans. Its misuse has increased rapidly in the past 20 years and is one of the most common addictive drugs used in Asia. The proposed mechanisms of action and supporting neuroimaging data allow for the development of tools to identify ‘biotypes’ of ketamine use disorder (KUD) using machine learning approaches, which could inform intervention and treatment.

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来源期刊
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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