Robust antiviral innate immune response and miRNA regulatory network were identified in ZIKV-infected cells: implications in the pathogenesis of ZIKV infection.

IF 1.9 4区 医学 Q3 GENETICS & HEREDITY
Virus Genes Pub Date : 2025-06-01 Epub Date: 2025-02-16 DOI:10.1007/s11262-025-02136-4
Mingshuang Lai, Rongji Lai, Baoren He, Xinwei Wang, Limin Chen, Qiuhong Mo
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引用次数: 0

Abstract

Zika virus (ZIKV) infection has emerged as a significant public health concern due to its association with fetal microcephaly and Guillain-Barre syndrome (GBS). Unfortunately, its detailed pathogenesis remains unclear. To better understand how ZIKV evades host antiviral immunity, we analyzed the microarray dataset (GSE98889) of ZIKV-infected primary human brain microvascular endothelial cells (hBMECs) retrieved from the gene expression omnibus (GEO). 160, 1423, 969, 829, and 600 differentially expressed genes (DEGs) were identified at 12, 24, 48, 72, and 216 hours post-ZIKV infection in hBMECs, respectively. Subsequently, 31 common DEGs across all time-points were selected for further analysis. Gene ontology (GO) functional analysis showed these 31 DEGs were mainly involved in the host antiviral innate immune responses. Protein-protein interaction (PPI) network analysis identified 10 hub genes (MX1, OAS1, OAS2, IFI44, IFI44L, IFIT1, IFIT2, IFIT3, IFIH1, and XAF1), which were all interferon-stimulated genes (ISGs) and upregulated. qRT-PCR was used to validate the expression patterns of these 10 hub genes in different ZIKV-infected cell lines. Finally, miRNA-mRNA regulatory network analysis revealed that hsa-miR-129-2-3p, hsa-miR-138-5p, hsa-miR-21-3p, hsa-miR-27a-5p, hsa-miR-449a, and hsa-miR449b-5p were key miRNAs regulating these hub genes. Our study showed that ZIKV infection activated the host innate immune response to restrict ZIKV infection. The common pathways, hub genes, and their regulatory miRNA network offer new insights into virus-host interactions, enhancing our understanding of ZIKV pathogenesis.

在寨卡病毒感染的细胞中发现了强大的抗病毒先天免疫反应和miRNA调节网络:在寨卡病毒感染的发病机制中的意义。
由于寨卡病毒(ZIKV)感染与胎儿小头畸形和格林-巴利综合征(GBS)有关,它已成为一个重大的公共卫生问题。遗憾的是,其详细的发病机制仍不清楚。为了更好地了解 ZIKV 如何逃避宿主的抗病毒免疫,我们分析了从基因表达总库(GEO)中检索到的 ZIKV 感染的原代人脑微血管内皮细胞(hBMECs)的微阵列数据集(GSE98889)。在 hBMECs 感染 ZIKV 后 12、24、48、72 和 216 小时,分别鉴定出 160、1423、969、829 和 600 个差异表达基因(DEGs)。随后,选择了所有时间点的 31 个常见 DEGs 进行进一步分析。基因本体(GO)功能分析显示,这31个DEGs主要参与宿主抗病毒先天免疫反应。蛋白-蛋白相互作用(PPI)网络分析确定了10个枢纽基因(MX1、OAS1、OAS2、IFI44、IFI44L、IFIT1、IFIT2、IFIT3、IFIH1和XAF1),它们都是干扰素刺激基因(ISGs),并且上调。最后,miRNA-mRNA调控网络分析显示,hsa-miR-129-2-3p、hsa-miR-138-5p、hsa-miR-21-3p、hsa-miR-27a-5p、hsa-miR-449a和hsa-miR449b-5p是调控这些枢纽基因的关键miRNA。我们的研究表明,ZIKV感染激活了宿主的先天免疫反应,从而限制了ZIKV感染。共同途径、枢纽基因及其调控miRNA网络为病毒与宿主的相互作用提供了新的见解,加深了我们对ZIKV发病机制的理解。
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来源期刊
Virus Genes
Virus Genes 医学-病毒学
CiteScore
3.30
自引率
0.00%
发文量
76
审稿时长
3 months
期刊介绍: Viruses are convenient models for the elucidation of life processes. The study of viruses is again on the cutting edge of biological sciences: systems biology, genomics, proteomics, metagenomics, using the newest most powerful tools. Huge amounts of new details on virus interactions with the cell, other pathogens and the hosts – animal (including human), insect, fungal, plant, bacterial, and archaeal - and their role in infection and disease are forthcoming in perplexing details requiring analysis and comments. Virus Genes is dedicated to the publication of studies on the structure and function of viruses and their genes, the molecular and systems interactions with the host and all applications derived thereof, providing a forum for the analysis of data and discussion of its implications, and the development of new hypotheses.
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