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成瘾生物标志物:理解成瘾的维度方法。

Addiction Biomarkers: Dimensional Approaches to Understanding Addiction.

机构信息

Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20892, USA.

Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion Research Institute, Roanoke, VA, 24016, USA.

出版信息

Trends Mol Med. 2018 Feb;24(2):121-128. doi: 10.1016/j.molmed.2017.12.007. Epub 2018 Jan 5.

DOI:10.1016/j.molmed.2017.12.007
PMID:29307501
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6233300/
Abstract

Trends towards dimensional approaches in understanding psychiatric disorders may also be applied to addictive disorders. Advances in our understanding of the neurobiology of addiction can inform these efforts. Furthermore, dimensional approaches to addiction, such as the proposed Addictions Neuroclinical Assessment (ANA), may be used in identifying novel addiction biomarkers, and refining ones that currently exist. These biomarkers, derived from both an understanding of the neurobiology of addiction and behavioral phenotypes, represent a departure from traditional markers of alcohol-relevant biomarkers, such as tests of liver function (LFTs). We posit that a potential addiction-relevant biomarker is reinforcer pathology, found to be relevant across addictions to different substances, and which may offer a target for modification through the use of episodic future thinking.

摘要

理解精神障碍的维度方法的趋势也可能适用于成瘾障碍。我们对成瘾神经生物学的理解的进步可以为这些努力提供信息。此外,成瘾的维度方法,如拟议的成瘾神经临床评估 (ANA),可用于识别新的成瘾生物标志物,并改进现有的生物标志物。这些生物标志物源自对成瘾神经生物学和行为表型的理解,与传统的酒精相关生物标志物(如肝功能测试)有所不同。我们假设,一种潜在的与成瘾相关的生物标志物是强化物病理学,它在不同物质的成瘾中都具有相关性,并且可以通过使用情景性未来思维来进行修改。

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本文引用的文献

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Toward Narrative Theory: Interventions for Reinforcer Pathology in Health Behavior.走向叙事理论:健康行为强化物病理学的干预措施。
Nebr Symp Motiv. 2017;64:227-267.
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Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand.黯淡的当下,光明的未来:在线情景式未来思维、稀缺性、延迟折扣与食物需求
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Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015.药物和阿片类药物滥用相关过量死亡人数增加 - 美国,2010-2015 年。
Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.
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Accelerated brain aging in alcohol users: Insights from machine learning.饮酒者大脑加速衰老:机器学习带来的见解
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Neuroimaging Biomarkers in Addiction.成瘾中的神经影像学生物标志物
medRxiv. 2024 Sep 3:2024.09.02.24312084. doi: 10.1101/2024.09.02.24312084.
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J Youth Adolesc. 2024 Nov;53(11):2654-2668. doi: 10.1007/s10964-024-02065-9. Epub 2024 Aug 10.
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Dynamic alterations in gene co-expression networks and gene-transcript associations characterize co-morbidities in cocaine use disorder.基因共表达网络和基因-转录本关联的动态变化是可卡因使用障碍合并症的特征。
bioRxiv. 2024 Jul 11:2024.07.10.602908. doi: 10.1101/2024.07.10.602908.
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