miR-130a在酒精使用障碍受试者死后前额皮质中的差异表达

Fan Wang, Joel Gelernter, Huiping Zhang
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引用次数: 21

摘要

背景:新出现的证据表明,神经对酒精的适应可能是由慢性饮酒诱导的microRNAs (miRNAs)及其靶基因的表达变化引起的。动物或细胞培养模型的研究表明,乙醇暴露会导致miRNA表达改变。然而,关于酒精使用障碍(AUDs)受试者大脑中miRNA表达的信息有限。本研究旨在分析AUD受试者死后前额叶皮层(PFC)中miRNAs及其靶基因的表达变化。方法:采用Illumina HumanHT-12 v4 expression BeadChip阵列检测23例欧洲澳大利亚AUD病例和23例匹配对照死后PFC中全基因组miRNA和mRNA的表达,共检测43,270个编码转录物和3,961个非编码转录物(包括574个miRNA转录物)。采用多元线性回归分析和置换检验鉴定差异表达的mirna及其靶mrna。应用靶基因预测、基因集富集分析(gene Set Enrichment Analysis, GESA)和DAVID功能注释聚类分析鉴定aud相关基因集和生物模块。结果:2个mirna和787个编码基因在AUD病例的PFC中差异表达[miR-130a(下调):突变=0.023,miR-604(上调):突变=0.019,编码基因:1.6×10-5≤突变≤0.05;但并非所有P值都能经受多重检验修正]。GESA显示miR-130a的202个预测靶基因在差异表达基因中高度富集(PnominalPnominal=0.404)。DAVID功能聚类进一步揭示了miRNA130a的枢纽靶基因(如ITPR2和ATP1A2)主要负责调控离子通道功能。结论:本研究提供证据表明,miR-130a下调可能导致AUD受试者PFC中多个基因的表达改变。进一步的研究需要在复制样本和其他与奖励相关的大脑区域中证实这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differential Expression of miR-130a in Postmortem Prefrontal Cortex of Subjects with Alcohol Use Disorders.

Background: Emerging evidence suggests that neuroadaptations to alcohol may result from chronic alcohol consumption-induced expression changes of microRNAs (miRNAs) and their target genes. Studies with animal or cell culture models have demonstrated that ethanol exposure leads to miRNA expression alterations. However, there is limited information on miRNA expression in the brains of subjects with alcohol use disorders (AUDs). The present study aimed to analyze expression changes of miRNAs and their target genes in postmortem prefrontal cortex (PFC) of AUD subjects.

Methods: Genome-wide miRNA and mRNA expression was examined in postmortem PFC of 23 European Australia AUD cases and 23 matched controls using the Illumina HumanHT-12 v4 Expression BeadChip array, which targets 43,270 coding transcripts and 3,961 non-coding transcripts (including 574 miRNA transcripts). Multiple linear regression analysis and permutation test were performed to identify differentially expressed miRNAs and their target mRNAs. Target gene prediction, Gene Set Enrichment Analysis (GESA), and DAVID functional annotation clustering analysis were applied to identify AUD-associated gene sets and biological modules.

Results: Two miRNAs and 787 coding genes were differentially expressed in the PFC of AUD cases [miR-130a (downregulated): Ppermutation=0.023, miR-604 (upregulated): Ppermutation=0.019, coding genes: 1.6×10-5Ppermutation≤0.05; but all P values did not survive multiple-testing correction]. GESA showed that the 202 predicted target genes of miR-130a were highly enriched in differentially expressed genes (Pnominal<0.001), but not the 116 predicted target genes of miR-604 (Pnominal=0.404). DAVID functional clustering further revealed that the hub target genes (e.g., ITPR2 and ATP1A2) of miRNA130a were mainly responsible for regulating ion channel function.

Conclusion: This study provides evidence that downregulation of miR-130a may lead to altered expression of a number of genes in the PFC of AUD subjects. Further studies are warranted to confirm these findings in replication samples and other reward-related brain regions.

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