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A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction.

ABSTRACT: Nicotine, as the major psychoactive component of tobacco, has broad physiological effects within the central nervous system, but our understanding of the molecular mechanism underlying its neuronal effects remains incomplete. In this study, we performed a systematic analysis on a set of nicotine addiction-related genes to explore their characteristics at network levels. We found that NAGenes tended to have a more moderate degree and weaker clustering coefficient and to be less central in the network compared to alcohol addiction-related genes or cancer genes. Further, clustering of these genes resulted in six clusters with themes in synaptic transmission, signal transduction, metabolic process, and apoptosis, which provided an intuitional view on the major molecular functions of the genes. Moreover, functional enrichment analysis revealed that neurodevelopment, neurotransmission activity, and metabolism related biological processes were involved in nicotine addiction. In summary, by analyzing the overall characteristics of the nicotine addiction related genes, this study provided valuable information for understanding the molecular mechanisms underlying nicotine addiction.

SUBMITTER: Liu M

PROVIDER: S-EPMC4434171 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction.

Liu Meng M Li Xia X Fan Rui R Liu Xinhua X Wang Ju J

BioMed research international 20150504

Nicotine, as the major psychoactive component of tobacco, has broad physiological effects within the central nervous system, but our understanding of the molecular mechanism underlying its neuronal effects remains incomplete. In this study, we performed a systematic analysis on a set of nicotine addiction-related genes to explore their characteristics at network levels. We found that NAGenes tended to have a more moderate degree and weaker clustering coefficient and to be less central in the net ...[more]

PMID: 26097843

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Project description:Background: The incidence of alcohol and tobacco co-abuse is as high as 80%. The molecular mechanism underlying this comorbidity is virtually unknown but interactions between these drugs have important implications for the development of, and recovery from drug dependence. Methods: We investigated the effects of chronic tobacco and alcohol abuse and the interaction of the two behaviours on global gene expression in the human nucleus accumbens using cDNA microarrays and 20 alcoholic and control cases, with and without smoking comorbidity. Changes in gene expression were established by two-way ANOVA. Unsupervised hierarchical clustering was utilized to probe the strength of the data sets. Results: Subjecting the data sets derived from microarray gene expression screening to unsupervised hierarchical clustering tied the cases into distinct groups. When considering all alcohol-responsive genes, alcoholics were separated from non alcoholics with the exception of one control case. All smokers were distinguished from non smokers based on similarity in expression of smoking-sensitive genes. In the nucleus accumbens, alcohol-responsive genes were associated with transcription, lipid metabolism and signalling. Smoking-sensitive genes were predominantly assigned to functional groups concerned with RNA processing and the endoplasmic reticulum. Both drugs influenced the expression of genes involved in matrix remodelling, proliferation and cell morphogenesis. Additionally, a gene set encoding proteins involved in the canonical pathway ‘regulation of the actin cytoskeleton’ was induced in response to alcohol and tobacco co-abuse and included. Conclusions: The region-specific modulation of alcohol-sensitive gene expression by smoking may have important consequences for alcohol-induced aberrations within the mesolimbic dopaminergic system. The data set contained individual RNA samples extracted from the nucleus accumbens from 5 non smoking non drinking control case, 5 non smoking alcoholics, 5 non drinking smokers, and 5 smoking alcoholics. An aliquot if each sample was combined to generate a reference pool. Each sample was amplified individually and labelled with Cy3 in the process, the reference samples was amplified and labelled with Cy5. Each sample was hybridised competitively against the reference sample to 1 array.

Dataset Information

A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction.

Publications

A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction.

Similar Datasets

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