Literature DB >> 27144979

The association of HTR3A mRNA expression and craving in Han Chinese alcohol-dependent patients: a preliminary study.

Ya-Hui Xu1, Lin-Lin Wang2, Le Shi3, Jin-Ping Lei4, Qin Miao1, Tie-Qiao Liu5, Wei Hao5, Lin Lu3, Rui-Ling Zhang1.   

Abstract

BACKGROUND: 5-Hydroxytryptamine (5-HT) 3 receptor plays a crucial role in craving of alcohol dependence. Recent evidence shows that chronic alcohol exposure causes changes in gene expression and induces behavioral changes. However, the relationship between gene expression of 5-HT3 receptor and craving in alcohol-dependent patients is not fully understood.
OBJECTIVES: The aim of this preliminary study was to investigate the relationship between gene expression of the 5-HT3 receptor and craving in alcohol-dependent patients and the epigenetic mechanism.
METHODS: We recruited 50 male Han Chinese alcohol-dependent patients and 46 male Han Chinese healthy controls. We investigated the changes of HTR3A mRNA, which encodes the 5-HT3 receptor A subunit, and H3K9 acetylation in HTR3A promoter region. Obsessive Compulsive Drinking Scale (OCDS) was used to assess the craving of alcohol-dependent patients relative to controls.
RESULTS: HTR3A mRNA expression levels and acetylation levels of H3K9 in the HTR3A promoter region were significantly higher in the alcohol-dependent patients. HTR3A mRNA expression levels were positively correlated with OCDS scores. Moreover, HTR3A mRNA expression levels were positively correlated with acetylation levels of H3K9 in HTR3A promoter region.
CONCLUSION: The current findings suggest that HTR3A mRNA expression levels were positively correlated with craving in Han Chinese alcohol-dependent patients. The regulation of H3K9 histone acetylation in HTR3A promoter region may offer a target for the treatment of alcohol dependence.

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Keywords:  Alcohol dependence; H3K9 acetylation; HTR3A gene; craving

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Year:  2016        PMID: 27144979     DOI: 10.3109/00952990.2016.1160098

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  1 in total

1.  Discrimination of alcohol dependence based on the convolutional neural network.

Authors:  Fangfang Chen; Meng Xiao; Cheng Chen; Chen Chen; Ziwei Yan; Huijie Han; Shuailei Zhang; Feilong Yue; Rui Gao; Xiaoyi Lv
Journal:  PLoS One       Date:  2020-10-27       Impact factor: 3.240

  1 in total

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