The Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, USA.
Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA.
Neuropsychopharmacology. 2018 May;43(6):1257-1266. doi: 10.1038/npp.2017.301. Epub 2017 Dec 18.
Transcriptome-based drug discovery has identified new treatments for some complex diseases, but has not been applied to alcohol use disorder (AUD) or other psychiatric diseases, where there is a critical need for improved pharmacotherapies. High Drinking in the Dark (HDID-1) mice are a genetic model of AUD risk that have been selectively bred (from the HS/Npt line) to achieve intoxicating blood alcohol levels (BALs) after binge-like drinking. We compared brain gene expression of HDID-1 and HS/Npt mice, to determine a molecular signature for genetic risk for high intensity, binge-like drinking. Using multiple computational methods, we queried LINCS-L1000 (Library of Integrated Network-Based Cellular Signatures), a database containing gene expression signatures of thousands of compounds, to predict candidate drugs with the greatest potential to decrease alcohol consumption. Our analyses predicted novel compounds for testing, many with anti-inflammatory properties, providing further support for a neuroimmune mechanism of excessive alcohol drinking. We validated the top 2 candidates in vivo as a proof-of-concept. Terreic acid (a Bruton's tyrosine kinase inhibitor) and pergolide (a dopamine and serotonin receptor agonist) robustly reduced alcohol intake and BALs in HDID-1 mice, providing the first evidence for transcriptome-based drug discovery to target an addiction trait. Effective drug treatments for many psychiatric diseases are lacking, and the emerging tools and approaches outlined here offer researchers studying complex diseases renewed opportunities to discover new or repurpose existing compounds and expedite treatment options.
基于转录组的药物发现已经为一些复杂疾病找到了新的治疗方法,但尚未应用于酒精使用障碍(AUD)或其他精神疾病,这些疾病迫切需要改进的药物治疗。高饮酒黑暗(HDID-1)小鼠是一种 AUD 风险的遗传模型,经过选择性繁殖(来自 HS/Npt 系),可在 binge-like 饮酒后达到醉酒血酒精水平(BAL)。我们比较了 HDID-1 和 HS/Npt 小鼠的大脑基因表达,以确定高强度 binge-like 饮酒的遗传风险的分子特征。我们使用多种计算方法查询了 LINCS-L1000(基于网络的细胞特征综合库),这是一个包含数千种化合物基因表达特征的数据库,以预测最有潜力减少酒精消耗的候选药物。我们的分析预测了一些新的化合物进行测试,其中许多具有抗炎特性,进一步支持了神经免疫机制是过度饮酒的原因。我们在体内验证了前 2 个候选物作为概念验证。terreic acid(一种 Bruton 酪氨酸激酶抑制剂)和培高利特(一种多巴胺和血清素受体激动剂)可显著减少 HDID-1 小鼠的酒精摄入量和 BAL,为基于转录组的药物发现靶向成瘾特征提供了首个证据。许多精神疾病缺乏有效的药物治疗方法,这里概述的新兴工具和方法为研究复杂疾病的研究人员提供了新的机会,可以发现新的或重新利用现有的化合物,并加快治疗选择。