与大麻使用相关的神经代谢物改变:质子磁共振光谱meta分析

IF 3.3 2区 医学 Q1 NEUROIMAGING
Anna E. Kirkland, Brittney D. Browning, ReJoyce Green, Samuel O. Agbeh, Lindsay M. Squeglia
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引用次数: 0

摘要

人们对大麻使用对神经代谢的影响知之甚少。利用质子磁共振波谱(1H-MRS)研究的荟萃分析模型,本研究旨在评估与大麻使用相关的脑代谢物水平的差异(PROSPERO: CRD42020209890),为大麻使用障碍(CUD)的治疗开发提供信息。采用随机效应的Hedge’s g模型,评估异质性和发表偏倚指数。通过完整的文献检索,有15项研究符合纳入标准(如1H-MRS,大麻组与对照组的比较,脑区域特异性结果,完成建模所需的数据)。大脑灰质区域有29个模型。所有模型都有2到5个研究(k),表明由于可用研究数量有限,结果应谨慎解释。与对照组相比,大麻使用组前扣带皮层中GABA和n -乙酰天冬氨酸水平较低(k = 3);基底神经节/纹状体谷氨酸降低(k = 2);丘脑谷氨酰胺和肌醇含量降低(k = 2;尽管这两个效应值来自同一个样本)。这是第一个荟萃分析,以巩固现有的1H-MRS研究集中在大麻的神经代谢作用。尽管现有的研究很少,但有证据表明,大麻的使用可能会影响重要的神经过程,包括谷氨酸能和氨基丁酸能功能(谷氨酸、谷氨酰胺和氨基丁酸)、神经健康(n -乙酰天冬氨酸)和神经胶质功能(肌醇)。考虑到样本量小,研究结果应谨慎解释;无法测试人口统计、药物使用和方法因素的影响;以及研究的异质性。了解大麻的神经生物学效应可能会启发新的药物治疗和/或心理社会干预CUD。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Neurometabolite Alterations Associated With Cannabis Use: A Proton Magnetic Resonance Spectroscopy Meta-Analysis

Neurometabolite Alterations Associated With Cannabis Use: A Proton Magnetic Resonance Spectroscopy Meta-Analysis

Little is known about the neurometabolic effects of cannabis use. Using meta-analytic modeling of proton magnetic resonance spectroscopy (1H-MRS) studies, this study aimed to assess the differences in brain metabolite levels associated with cannabis use (PROSPERO: CRD42020209890) to inform treatment development for cannabis use disorder (CUD). Hedge's g with random-effects modeling was used, and heterogeneity and publication bias indices were assessed. A complete literature search was conducted, and 15 studies met the inclusion criteria (e.g., 1H-MRS, cannabis group compared to a control group, brain region-specific results, necessary data to complete modeling). There were 29 models across gray matter regions in the brain. All models had between 2 and 5 studies (k), indicating that results should be interpreted with caution due to the limited number of available studies. Compared to the control groups, the cannabis-using groups showed lower levels of GABA and N-acetylaspartate in the anterior cingulate cortex (k = 3); lower glutamate in the basal ganglia/striatum (k = 2); and lower glutamine and myo-inositol in the thalamus (k = 2; although the two effect sizes came from the same sample). This is the first meta-analysis to consolidate the extant 1H-MRS studies focused on the neurometabolic effects of cannabis. Despite the few studies available, the evidence suggests cannabis use may impact important neural processes, including glutamatergic and GABAergic functioning (glutamate, glutamine, and GABA), neural health (N-acetylaspartate), and glial functioning (myo-inositol). The findings should be interpreted with caution considering the small sample size; the inability to test the impact of demographic, substance use, and methodological factors; and the heterogeneity of studies. Understanding the neurobiological effects of cannabis may inspire novel pharmacotherapy and/or psychosocial interventions for CUD.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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