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精神分裂症免疫相关基因特征的鉴定。

Identification of Immune-Related Gene Signature in Schizophrenia.

机构信息

School of Nursing, Qiqihar Medical University, 161000 Qiqihar, Heilongjiang, China.

Department of Academic Research, Qiqihar Medical University, 161000 Qiqihar, Heilongjiang, China.

出版信息

Actas Esp Psiquiatr. 2024 Jun;52(3):276-288. doi: 10.62641/aep.v52i3.1648.

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.

摘要

背景

精神分裂症(SCZ)是一种以多种症状为特征的精神疾病。我们的目的是破译与 SCZ 相关的免疫相关基因特征的相关机制。

方法

使用基因表达综合数据库(GEO)和单样本基因集富集分析(ssGSEA)检索 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)确定共表达基因模块。为了阐明这些簇的功能特征,进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析。此外,进行了基因集富集分析(GSEA)和基因集变异分析(GSVA),以鉴定免疫亚群中富集的途径。进行蛋白质-蛋白质相互作用(PPI)网络分析,以鉴定与 SCZ 相关的核心基因。

结果

与对照样本相比,SCZ 中观察到明显更高的免疫评分。鉴定出七个不同的基因模块,选择绿色突出显示的基因进行进一步分析。使用细胞类型通过估计相对 RNA 转录物亚群的鉴定(CIBERSORT)方法,计算与 22 种不同免疫细胞类型相关的免疫细胞黏附和累积程度。根据 GO 和 KEGG 分析,与差异表达的免疫调节基因显著富集的生物过程包括干扰素-β、IgG 结合和对干扰素-γ的反应。在三个排名最高的 GO 术语中,出现了 11 个与免疫浸润相关的枢纽基因,这些基因是关键参与者。

结论

这项研究强调了免疫调节反应在 SCZ 发展中的作用。鉴定出 11 个与免疫相关的基因(IFITM1(干扰素诱导跨膜蛋白 1)、GBP1(鸟苷酸结合蛋白 1)、BST2(骨髓基质细胞抗原 2)、IFITM3(干扰素诱导跨膜蛋白 3)、GBP2(鸟苷酸结合蛋白 2)、CD44(CD44 分子)、FCER1G(Fc ɛ 受体 Ig)、HLA-DRA(主要组织相容性复合体,II 类,DRα)、FCGR2A(Fcγ 受体 IIa)、IFI16(干扰素γ诱导蛋白 16)和 FCGR3B(Fcγ 受体 IIIb))作为枢纽基因,它们代表与 SCZ 患者免疫反应相关的潜在生物标志物和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/052b/11190455/3b31213ecfaa/ActEsp-52-3-276-288-F1.jpg

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