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基于生物信息学分析探究精神分裂症的核心基因

Exploring the Core Genes of Schizophrenia Based on Bioinformatics Analysis.

机构信息

Qingdao Medical College, Qingdao University, Qingdao 266071, China.

Qingdao Mental Health Center, Qingdao 266034, China.

出版信息

Genes (Basel). 2022 May 27;13(6):967. doi: 10.3390/genes13060967.

DOI:10.3390/genes13060967
PMID:35741729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9223283/
Abstract

Schizophrenia is a clinical syndrome composed of a group of symptoms involving many obstacles such as perception, thinking, emotion, behavior, and the disharmony of mental activities. Schizophrenia is one of the top ten causes of disability globally, accounting for about 1% of the global population. Previous studies have shown that schizophrenia has solid genetic characteristics. However, the diagnosis of schizophrenia mainly depends on symptomatic manifestations, and no gene can be used as a clear diagnostic marker at present. This study explored the hub genes of schizophrenia by bioinformatics analysis. Three datasets were selected and downloaded from the GEO database (GSE53987, GSE21138, and GSE27383). GEO2R, NCBI's online analysis tool, is used to screen out significant gene expression differences. The genes were functionally enriched by GO and KEGG enrichment analysis. On this basis, the hub genes were explored through Cytoscape software, and the immune infiltration analysis and diagnostic value of the screened hub genes were judged. Finally, four hub genes (NFKBIA, CDKN1A, BTG2, GADD45B) were screened. There was a significant correlation between two hub genes (NFKBIA, BTG2) and resting memory CD4 T cells. The ROC curve results showed that all four hub genes had diagnostic value.

摘要

精神分裂症是一种临床综合征，由一组涉及感知、思维、情感、行为和精神活动不协调等多种障碍的症状组成。精神分裂症是全球十大致残原因之一，约占全球人口的 1%。先前的研究表明，精神分裂症具有坚实的遗传特征。然而，精神分裂症的诊断主要依赖于症状表现，目前没有任何一个基因可以作为明确的诊断标志物。本研究通过生物信息学分析探讨精神分裂症的枢纽基因。从 GEO 数据库（GSE53987、GSE21138 和 GSE27383）中选择并下载了三个数据集。使用 GEO2R，NCBI 的在线分析工具，筛选出具有显著差异表达的基因。通过 GO 和 KEGG 富集分析对基因进行功能富集。在此基础上，通过 Cytoscape 软件探索枢纽基因，并判断筛选出的枢纽基因的免疫浸润分析和诊断价值。最终筛选出四个枢纽基因（NFKBIA、CDKN1A、BTG2、GADD45B）。两个枢纽基因（NFKBIA、BTG2）与静息记忆 CD4 T 细胞之间存在显著相关性。ROC 曲线结果表明，这四个枢纽基因均具有诊断价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eac/9223283/ce1fd747bd69/genes-13-00967-g014.jpg
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