Identification of Immune-Related Gene Signature in Schizophrenia.

IF 1 4区 医学 Q4 NEUROSCIENCES Actas espanolas de psiquiatria Pub Date : 2024-06-01 DOI:10.62641/aep.v52i3.1648
Yu Wu, Zhichao Wang, Houjia Hu, Tong Wu, Alabed Ali A Alabed, Zhenghai Sun, Yuchen Wang, Guangcheng Cui, Weiliang Cong, Chengchong Li, Ping Li
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Abstract

Background: Schizophrenia (SCZ) is a type of psychiatric disorder characterized by multiple symptoms. Our aim is to decipher the relevant mechanisms of immune-related gene signatures in SCZ.

Methods: The SCZ dataset and its associated immunoregulatory genes were retrieved using Gene Expression Omnibus (GEO) and single-sample gene set enrichment analysis (ssGSEA). Co-expressed gene modules were determined through weighted gene correlation network analysis (WGCNA). To elucidate the functional characteristics of these clusters, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used. Additionally, gene set enrichment analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted to identify enriched pathways for the immune subgroups. A protein-protein interaction (PPI) network analysis was performed to identify core genes relevant to SCZ.

Results: A significantly higher immune score was observed in SCZ compared to control samples. Seven distinct gene modules were identified, with genes highlighted in green selected for further analysis. Using the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) method, degrees of immune cell adhesion and accumulation related to 22 different immune cell types were calculated. Significantly enriched bioprocesses concerning the immunoregulatory genes with differential expressions included interferon-beta, IgG binding, and response to interferon-gamma, according to GO and KEGG analyses. Eleven hub genes related to immune infiltration emerged as key players among the three top-ranked GO terms.

Conclusions: This study underscores the involvement of immunoregulatory reactions in SCZ development. Eleven immune-related genes (IFITM1 (interferon induced transmembrane protein 1), GBP1 (guanylate binding protein 1), BST2 (bone marrow stromal cell antigen 2), IFITM3 (interferon induced transmembrane protein 3), GBP2 (guanylate binding protein 2), CD44 (CD44 molecule), FCER1G (Fc epsilon receptor Ig), HLA-DRA (major histocompatibility complex, class II, DR alpha), FCGR2A (Fc gamma receptor IIa), IFI16 (interferon gamma inducible protein 16), and FCGR3B (Fc gamma receptor IIIb)) were identified as hub genes, representing potential biomarkers and therapeutic targets associated with the immune response in SCZ patients.

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鉴定精神分裂症的免疫相关基因特征
背景:精神分裂症(SCZ)是一种以多种症状为特征的精神疾病。我们的目的是破译 SCZ 中免疫相关基因特征的相关机制:方法:利用基因表达总库(GEO)和单样本基因组富集分析(ssGSEA)检索了SCZ数据集及其相关免疫调节基因。通过加权基因相关网络分析(WGCNA)确定了共表达基因模块。为了阐明这些基因簇的功能特征,使用了基因本体(GO)和京都基因和基因组百科全书(KEGG)分析。此外,还进行了基因组富集分析(GSEA)和基因组变异分析(GSVA),以确定免疫亚群的富集通路。还进行了蛋白质-蛋白质相互作用(PPI)网络分析,以确定与SCZ相关的核心基因:结果:与对照样本相比,SCZ 的免疫得分明显更高。结果:与对照样本相比,SCZ 的免疫得分明显更高。确定了七个不同的基因模块,并选择了绿色突出显示的基因进行进一步分析。利用细胞类型鉴定RNA转录本相对子集(CIBERSORT)方法,计算了与22种不同免疫细胞类型相关的免疫细胞粘附和积聚程度。根据 GO 和 KEGG 分析,与具有差异表达的免疫调节基因有关的显著富集生物过程包括干扰素-β、IgG 结合和对干扰素-γ 的反应。11个与免疫浸润相关的中枢基因成为三个排名最高的GO术语中的关键角色:结论:这项研究强调了免疫调节反应参与了SCZ的发育。HLA-DRA(主要组织相容性复合体 II 类,DR alpha)、FCGR2A(Fc γ 受体 IIa)、IFI16(干扰素γ诱导蛋白 16)和 FCGR3B(Fc γ 受体 IIIb))被确定为中枢基因,代表着与 SCZ 患者免疫反应相关的潜在生物标记物和治疗靶点。
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来源期刊
Actas espanolas de psiquiatria
Actas espanolas de psiquiatria 医学-精神病学
CiteScore
1.70
自引率
6.70%
发文量
46
审稿时长
>12 weeks
期刊介绍: Actas Españolas de Psiquiatría publicará de manera preferente trabajos relacionados con investigación clínica en el área de la Psiquiatría, la Psicología Clínica y la Salud Mental.
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