机构地区:[1]Shanghai Drug Abuse Treatment Center,Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,Shanghai,China [2]Shanghai Key Laboratory of Psychotic Disorders,Shanghai,China [3]Institute of Psychological and Behavioral Science,Shanghai Jiao Tong University,Shanghai,China
出 处:《General Psychiatry》2021年第5期45-52,共8页综合精神医学(英文)
基 金:This work was supported by the National Nature Science Foundation(81771436);Program of Shanghai Academic Research Leader(17XD1403300);Shanghai Municipal Health and Family Planning Commission(2017ZZ02021,2018YQ45 and 20184Y0134);Shanghai Key Laboratory of Psychotic Disorders(13DZ2260500);Shanghai Municipal Science and Technology Major Project(2018SHZDZX05);Shanghai Sailing Program(19YF1442100);Shanghai Mental Health Center Program(2018-QH 02,2020-YJ 06,CRC2018YB02).
摘 要: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 BDNF 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 BDNF would be a candidate therapeutic target underlying the pathogenesis of CUD and associated CIP.
关 键 词:alterations analysis INSIGHT
分 类 号:R749[医药卫生—神经病学与精神病学]
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