Karimzadeh Mohammad, Zakizadeh Faranak, Bokharaei-Salim Farah, Omranifard Victoria, Kiani Soroor, Razizadeh Mohammad Hossein
Behavioral Sciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Core Research Facilities (CRF), Isfahan University of Medical Sciences, Isfahan, Iran.
J Neurovirol. 2025 Jun 9. doi: 10.1007/s13365-025-01260-z.
Schizophrenia is a complex psychiatric disorder with multifactorial etiologies, including genetic components. The role of Human endogenous retroviruses has been suggested in schizophrenia pathogenesis. This study aims to identify and analyze the shared genetic components between schizophrenia and Human endogenous retroviruses through bioinformatics approaches. Genes associated with schizophrenia and Human endogenous retroviruses were identified and analyzed for overlap. A protein-protein interaction network was constructed, followed by hub gene selection using various algorithms. Functional enrichment analyses were conducted to determine biological processes and pathways involved. Transcription factors and miRNA networks were built to investigate gene regulation. Drug and chemical interactions were examined, and gene-disease associations were assessed. Also, gene expression levels in different brain regions and brain and blood cells were analyzed. Logistic regression analysis was done to evaluate the association of hub genes with schizophrenia. A total of 345 genes were found common between schizophrenia and Human endogenous retroviruses. Six hub genes (AKT1, CD4, CD8A, IL6, STAT1, and TNF) were identified. Gene ontology and pathway analyses indicated immune system involvement. Gene expression analysis showed differential expression patterns in blood and brain cells. IL6 and TNF were significantly upregulated in schizophrenia patients, while AKT1 exhibited downregulation. Logistic regression revealed IL6 and TNF as risk factors, whereas AKT1 showed protective effects. This study found key genetic interactions between schizophrenia and endogenous human retroviruses, with hub genes playing significant roles in immune signaling and neuroinflammation. These findings introduce potential targets for therapeutic interventions in schizophrenia.
精神分裂症是一种病因多因素的复杂精神障碍,包括遗传因素。人类内源性逆转录病毒在精神分裂症发病机制中的作用已被提出。本研究旨在通过生物信息学方法识别和分析精神分裂症与人类内源性逆转录病毒之间共享的遗传成分。识别与精神分裂症和人类内源性逆转录病毒相关的基因并分析其重叠情况。构建蛋白质-蛋白质相互作用网络,然后使用各种算法选择枢纽基因。进行功能富集分析以确定所涉及的生物学过程和途径。构建转录因子和miRNA网络以研究基因调控。检查药物和化学相互作用,并评估基因-疾病关联。此外,分析不同脑区以及脑和血细胞中的基因表达水平。进行逻辑回归分析以评估枢纽基因与精神分裂症的关联。共发现精神分裂症与人类内源性逆转录病毒之间有345个共同基因。确定了六个枢纽基因(AKT1、CD4、CD8A、IL6、STAT1和TNF)。基因本体论和通路分析表明涉及免疫系统。基因表达分析显示在血液和脑细胞中有差异表达模式。精神分裂症患者中IL6和TNF显著上调,而AKT1表现为下调。逻辑回归显示IL6和TNF为危险因素,而AKT1具有保护作用。本研究发现了精神分裂症与内源性人类逆转录病毒之间的关键遗传相互作用,枢纽基因在免疫信号传导和神经炎症中起重要作用。这些发现为精神分裂症的治疗干预引入了潜在靶点。