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理解酒精使用障碍的生物信息学和生物学途径。

Bioinformatic and biological avenues for understanding alcohol use disorder.

机构信息

Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712-1095, United States.

Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712-1095, United States.

出版信息

Alcohol. 2019 Feb;74:65-71. doi: 10.1016/j.alcohol.2018.05.004. Epub 2018 Aug 23.

DOI:10.1016/j.alcohol.2018.05.004
PMID:30144960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8939236/
Abstract

Alcohol Use Disorder (AUD) is a multifarious psychiatric condition resulting from complex relationships between genetics, gene expression, neuroadaptations, and environmental influences. Understanding these complex relationships is essential to uncovering the mechanisms involved in the development and progression of AUD, with the ultimate goal of devising effective behavioral and therapeutic interventions. Technical advances in the fields of omics-based research and bioinformatics have yielded insights into gene interactions, biological networks, and cellular responses across humans and animal models. This review highlights several of the newly developed sequencing methodologies and resultant discoveries in neuroscience, as well as the importance of a multi-faceted and integrative approach for determining causal factors in AUD.

摘要

酒精使用障碍(AUD)是一种复杂的精神疾病,由遗传、基因表达、神经适应和环境影响之间的复杂关系导致。理解这些复杂关系对于揭示 AUD 发展和进展所涉及的机制至关重要,最终目标是设计有效的行为和治疗干预措施。基于组学的研究和生物信息学领域的技术进步,使人们深入了解了人类和动物模型中的基因相互作用、生物网络和细胞反应。这篇综述强调了神经科学中几种新开发的测序方法和相关发现,以及采用多方面和综合方法确定 AUD 因果因素的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27b8/8939236/2a31ca50b6ff/nihms-1788891-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27b8/8939236/2a31ca50b6ff/nihms-1788891-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27b8/8939236/2a31ca50b6ff/nihms-1788891-f0001.jpg

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Focus (Am Psychiatr Publ). 2019 Jan;17(1):66-72. doi: 10.1176/appi.focus.17103. Epub 2019 Jan 7.
2
Different Neuronal Activity Patterns Induce Different Gene Expression Programs.不同的神经元活动模式会诱导不同的基因表达程序。
Neuron. 2018 May 2;98(3):530-546.e11. doi: 10.1016/j.neuron.2018.04.001. Epub 2018 Apr 19.
3
A molecular atlas of cell types and zonation in the brain vasculature.大脑血管的细胞类型和分区的分子图谱。
Nature. 2018 Feb 22;554(7693):475-480. doi: 10.1038/nature25739. Epub 2018 Feb 14.
4
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures.通过化学和遗传扰动转录组特征预测抑制性和激活药物靶点。
Sci Rep. 2018 Jan 9;8(1):156. doi: 10.1038/s41598-017-18315-9.
5
Beyond genome-wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder.超越全基因组显著性:用于解释和扩展酒精使用障碍全基因组关联研究结果的综合方法。
Addict Biol. 2019 Mar;24(2):275-289. doi: 10.1111/adb.12591. Epub 2018 Jan 9.
6
Long-term ethanol exposure: Temporal pattern of microRNA expression and associated mRNA gene networks in mouse brain.长期乙醇暴露:小鼠大脑中微小RNA表达的时间模式及相关mRNA基因网络
PLoS One. 2018 Jan 9;13(1):e0190841. doi: 10.1371/journal.pone.0190841. eCollection 2018.
7
Astrocyte-specific transcriptome responses to chronic ethanol consumption.星形胶质细胞对长期乙醇摄入的特异性转录组反应。
Pharmacogenomics J. 2018 Jul;18(4):578-589. doi: 10.1038/s41397-017-0012-2. Epub 2018 Jan 5.
8
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9
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Aging and neurodegeneration are associated with increased mutations in single human neurons.衰老和神经退行性变与单个人类神经元中突变增加有关。
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