College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
J Biomed Inform. 2012 Feb;45(1):30-6. doi: 10.1016/j.jbi.2011.08.014. Epub 2011 Aug 28.
Drug addiction has been considered as a kind of chronic relapsing brain disease influenced by both genetic and environmental factors. At present, many causative genes and pathways related to diverse kinds of drug addiction have been discovered, while less attention has been paid to common mechanisms shared by different drugs underlying addiction. By applying a co-expression meta-analysis method to mRNA expression profiles of alcohol, cocaine, heroin addicted and normal samples, we identified significant gene co-expression pairs. As co-expression networks of drug group and control group constructed, associated function term pairs and pathway pairs reflected by co-expression pattern changes were discovered by integrating functional and pathway information respectively. The results indicated that respiratory electron transport chain, synaptic transmission, mitochondrial electron transport, signal transduction, locomotory behavior, response to amphetamine, negative regulation of cell migration, glucose regulation of insulin secretion, signaling by NGF, diabetes pathways, integration of energy metabolism, dopamine receptors may play an important role in drug addiction. In addition, the results can provide theory support for studies of addiction mechanisms.
药物成瘾被认为是一种受遗传和环境因素影响的慢性复发性脑疾病。目前，已经发现了许多与各种药物成瘾相关的致病基因和途径，但对不同药物成瘾的共同机制关注较少。通过应用共表达荟萃分析方法对酒精、可卡因、海洛因成瘾和正常样本的 mRNA 表达谱进行分析，我们确定了显著的基因共表达对。通过构建药物组和对照组的共表达网络，分别整合功能和通路信息，发现共表达模式变化所反映的相关功能术语对和通路对。结果表明，呼吸电子传递链、突触传递、线粒体电子传递、信号转导、运动行为、对安非他命的反应、细胞迁移的负调控、胰岛素分泌的葡萄糖调节、NGF 信号转导、糖尿病途径、能量代谢的整合、多巴胺受体可能在药物成瘾中发挥重要作用。此外，这些结果可为成瘾机制的研究提供理论支持。
