精神分裂症免疫连接枢纽基因的鉴定及诊断模型的构建

IF 2.8 4区 医学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Kun Lian, Zonglin Shen, Runxu Yang, Jing Ye, Binli Shang, Lei Dong, Hongfang Li, Jiabing Wu, Yuqi Cheng, Xiufeng Xu
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引用次数: 0

摘要

精神分裂症是一种常见的、严重的、持续的精神障碍,病因不明。越来越多的证据表明,免疫功能障碍在SCZ的发展中至关重要。我们的研究旨在揭示SCZ潜在的免疫连接中枢基因和免疫浸润特征,并开发一个基于免疫连接中心基因的诊断模型。检索SCZ患者和健康对照的GSE38484和GSE54913芯片表达数据。加权基因共表达网络分析(WGCNA)用于鉴定主要模块基因和关键免疫连锁基因。进行了功能富集分析,以阐明关键基因在对SCZ的免疫反应中的作用,并检查它们的蛋白质相互作用。此外,使用单样本基因集富集分析(ssGSEA)方法检测了202份外周血样本,以检测不同的免疫细胞类型。使用最小绝对收缩和选择算子分析鉴定SCZ中的中枢免疫连接基因。分析了中枢免疫相关基因的受体谱,以区分这两组。最后,评估了免疫连接枢纽基因与各种类型的免疫细胞之间的关联。我们的研究结果揭示了与SCZ相关的10种免疫细胞类型和9个关键基因,包括效应记忆CD4+T细胞、活化CD8+T细胞,肥大细胞、初始CD8+T淋巴细胞、PBMC、17型辅助细胞(Th17)、中枢记忆CD8+T细胞、CD56亮NK细胞、记忆B细胞和调节性T细胞。使用LASSO回归构建的诊断模型的平均曲线下面积(AUC)为0.866。我们的研究结果表明,免疫功能障碍是SCZ发展的一个因素。ASGR2、ADRM1、AHANK、S100A8、FUCA1、AKNA、GATA3、AHCYL2和PTRH2是免疫细胞的关键调控基因,突出了它们作为SCZ新治疗靶点的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia

Identification of Immune-Linked Hub Genes and Diagnostic Model Construction in Schizophrenia

Schizophrenia (SCZ) is a prevalent, severe, and persistent mental disorder with an unknown etiology. Growing evidence indicates that immunological dysfunction is vital in the development of SCZ. Our study aims to uncover potential immune-linked hub genes and immune infiltration characteristics of SCZ, as well as to develop a diagnostic model based on immune-linked central genes. GSE38484 and GSE54913 chip expression data for patients with SCZ and healthy controls were retrieved. Weighted gene co-expression network analysis (WGCNA) was performed to identify major module genes and critical immune-linked genes. Functional enrichment analysis was conducted to elucidate the involvement of key genes in the immunological response to SCZ, along with the examination of their protein interactions. Moreover, 202 peripheral blood samples were examined using the single-sample gene set enrichment analysis (ssGSEA) method to detect distinct immune cell types. Hub immune-linked genes in SCZ were identified using the minimal absolute contraction and selection operator analysis. Receptor profiles of central immune-linked genes were analyzed to distinguish the two groups. Finally, the association between immune-linked hub genes and various types of immune cells was assessed. Our findings revealed ten immune cell types and nine key genes involved in SCZ, including effector memory CD4+ T cells, activated CD8+ T cells, mast cells, naive CD8+ T cells, PBMC, type 17 helper cells (Th17), central memory CD8+ T cells, CD56 bright NK cells, memory B cells, and regulatory T cells. Diagnostic models constructed using LASSO regression exhibited an average area under the curve (AUC) of 0.866. Our results indicate immunological dysfunction as a factor in the development of SCZ. ASGR2, ADRM1, AHANK, S100A8, FUCA1, AKNA, GATA3, AHCYL2, and PTRH2 are the key regulatory genes of immune cells, highlighting their potential as novel therapeutic targets for SCZ.

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来源期刊
Journal of Molecular Neuroscience
Journal of Molecular Neuroscience 医学-神经科学
CiteScore
6.60
自引率
3.20%
发文量
142
审稿时长
1 months
期刊介绍: The Journal of Molecular Neuroscience is committed to the rapid publication of original findings that increase our understanding of the molecular structure, function, and development of the nervous system. The criteria for acceptance of manuscripts will be scientific excellence, originality, and relevance to the field of molecular neuroscience. Manuscripts with clinical relevance are especially encouraged since the journal seeks to provide a means for accelerating the progression of basic research findings toward clinical utilization. All experiments described in the Journal of Molecular Neuroscience that involve the use of animal or human subjects must have been approved by the appropriate institutional review committee and conform to accepted ethical standards.
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