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[某种物质]的异常表达可能是可卡因诱发精神病的一个候选靶点:来自生物信息学分析和微阵列验证的见解。 (原文中“Aberrant expression of ”后面缺少具体内容)

Aberrant expression of might serve as a candidate target for cocaine-induced psychosis: insights from bioinformatics analysis and microarray validation.

作者信息

Zhu Youwei, Zhao Yan, Xu Xiaomin, Su Hang, Li Xiaotong, Zhong Na, Jiang Haifeng, Du Jiang, Zhao Min

机构信息

Shanghai Drug Abuse Treatment Center, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.

出版信息

Gen Psychiatr. 2021 Oct 11;34(5):e100587. doi: 10.1136/gpsych-2021-100587. eCollection 2021.

Abstract

BACKGROUND

Cocaine use disorder (CUD) and associated psychosis are major public health issues worldwide, along with high relapse outcome and limited treatment options. Exploring the molecular mechanisms underlying cocaine-induced psychosis (CIP) could supply integrated insights for understanding the pathogenic mechanism and potential novel therapeutic targets.

AIMS

The aim of the study was to explore common alterations of CUD-schizophrenia-target genes and identify core risk genes contributing to CIP through data mining and network pharmacology approach.

METHODS

Target genes of CUD were obtained from GeneCards, Comparative Toxicogenomics Database, Swiss Target Prediction platform and PubChem. Schizophrenia-related target genes were derived from DisGeNET, GeneCards, MalaCards and Online Mendelian Inheritance in Man databases. Then, the overlap genes of these two sets were regarded as risk genes contributing to CIP. Based on these CUD-schizophrenia-target genes, functional annotation and pathway analysis were performed using the clusterProfiler package in R. Protein-protein interaction network construction and module detection were performed based on the Search Tool for the Retrieval of Interacting Genes (STRING) database and Cytoscape software. Gene expression datasets GSE54839 and GSE93577 were applied for data validation and diagnostic capacity evaluation of interested hub genes.

RESULTS

A total of 165 CUD-schizophrenia-target genes were obtained. These genes were mainly contributing to chemical synaptic transmission, neuropeptide hormone activity, postsynaptic membrane and neuroactive ligand-receptor interaction pathway. Network analysis and validation analysis indicated that might serve as an important risk gene in mediating CIP.

CONCLUSIONS

This study generates a holistic view of CIP and provides a basis for the identification of potential CUD-schizophrenia-target genes involved in the development of CIP. The abnormal expression of would be a candidate therapeutic target underlying the pathogenesis of CUD and associated CIP.

摘要

背景

可卡因使用障碍(CUD)及相关精神病是全球主要的公共卫生问题,同时复发率高且治疗选择有限。探索可卡因诱发精神病(CIP)的分子机制可为理解其致病机制和潜在的新型治疗靶点提供综合见解。

目的

本研究旨在通过数据挖掘和网络药理学方法探索CUD - 精神分裂症 - 靶基因的共同改变,并确定导致CIP的核心风险基因。

方法

从GeneCards、比较毒理基因组学数据库、瑞士靶标预测平台和PubChem获取CUD的靶基因。精神分裂症相关靶基因来自DisGeNET、GeneCards、MalaCards和人类在线孟德尔遗传数据库。然后,将这两组的重叠基因视为导致CIP的风险基因。基于这些CUD - 精神分裂症 - 靶基因,使用R语言中的clusterProfiler包进行功能注释和通路分析。基于检索相互作用基因的搜索工具(STRING)数据库和Cytoscape软件构建蛋白质 - 蛋白质相互作用网络并进行模块检测。应用基因表达数据集GSE54839和GSE93577对感兴趣的枢纽基因进行数据验证和诊断能力评估。

结果

共获得165个CUD - 精神分裂症 - 靶基因。这些基因主要参与化学突触传递、神经肽激素活性(原文此处有误,根据语境推测应该是“神经肽激素活性”相关,原英文表述有误)、突触后膜和神经活性配体 - 受体相互作用通路。网络分析和验证分析表明,(原文此处缺失具体基因信息)可能是介导CIP的重要风险基因。

结论

本研究对CIP形成了整体认识,并为鉴定参与CIP发生发展的潜在CUD - 精神分裂症 - 靶基因提供了依据。(原文此处缺失具体基因信息)的异常表达可能是CUD及相关CIP发病机制的候选治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56e4/8506846/d58cd2d2602c/gpsych-2021-100587f02.jpg

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