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双相情感障碍与精神分裂症的共表达差异基因分析

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目的 通过生物信息学方法寻找双相情感障碍(bipolar disorder,BD)与精神分裂症(schizophrenia,SCZ)之间的共表达差异基因(DEG).方法 在GSE53987和GSE35977数据集中选择BD和SCZ与正常对照的差异表达基因,对筛选出的共同表达DEG进行GO/KEGG分析,通过STRING数据库进行蛋白互作分析并筛选枢纽基因,运用ROC曲线分析枢纽基因对BD和SCZ的诊断价值.结果 共筛选出60个共表达的DEG、GO/KEGG富集分析显示共表达的DEG主要富集表达在大脑神经元细胞中,且大多参与突触的组织、分化、传递等生物过程.KEGG分析显示主要涉及肌萎缩侧索硬化、P13K-Akt信号通路、MAPK信号通路、mTOR信号通路.筛选出的枢纽基因(EGF、FGF2、NTRK2、SLC1A3和SNAP25)对诊断BD和SCZ均有一定准确性.结论 BD和SCZ之间具有共表达DEG,通过多种信号通路在BD和SCZ的发生和进展中起重要作用.
Analysis of co-expressed differential genes in bipolar disorder and schizophrenia
Objective This paper aims to utilize bioinformatics to search for the co-expression differential gene(DEG)in bi-polar disorder(BD)and schizophrenia(SCZ).Methods Differentially expressed genes in BD and SCZ were selected from GSE53987 and GSE35977 datasets,compared with normal controls,and the co-expressed DEG genes were selected for GO/KEGG analysis.The protein interaction was analyzed by STRING database and hub genes were screened.The diagnostic value of hub genes for BD and SCZ was analyzed by ROC curve.Results A total of 60 co-expressed DEGs were screened.GO/KEGG enrichment analysis showed that the co-expressed DEGs were mainly concentrated in brain neurons,and most of them were involved in the biological processes of synaptic organization,differentiation and transmission.KEGG analysis showed that amyotrophic lateral sclerosis,P13K-Akt signaling pathway,MAPK signaling pathway,and mTOR signaling pathway were mainly involved.The selected hub genes(EGF,FGF2,NTRK2,SLC1A3 and SNAP25)had certain accuracy in the diagnosis of BD and SCZ.Conclusion BD and SCZ have co-expressed DEG,which plays an important role in the occurrence and pro-gression of BD and SCZ through multiple signaling pathways.

Bipolar disorderSchizophreniaCo-expressed differential geneBioinformatic method

吴秋萍、李海彬

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丽水市第二人民医院精神科,浙江 323000

双相情感障碍 精神分裂症 共表达差异基因 生物信息学方法

2023

中国卫生检验杂志
中华预防医学会

中国卫生检验杂志

影响因子:0.771
ISSN:1004-8685
年,卷(期):2023.33(22)
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