Jahantigh Hamid Reza, Elsharkawy Amany, Guglani Anchala, Arora Komal, Patterson Lila D, Kumar Mukesh
Department of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA.
Center of Diagnostics and Therapeutics, Georgia State University, Atlanta, GA 30303, USA.
Viruses. 2025 Feb 27;17(3):329. doi: 10.3390/v17030329.
Since the onset of the COVID-19 pandemic, various severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants have emerged. Although the primary site of SARS-CoV-2 infection is the lungs, it can also affect the brain and induce neurological symptoms. However, the specific effects of different variants on the brain remain unclear. In this study, a whole-transcriptome analysis was conducted using the brain tissues of K18-hACE2 mice infected with the ancestral B.1 (Wuhan) variant and with major SARS-CoV-2 variants of concern, including B.1.1.7 (Alpha), B.1.351 (Beta), B.1.617.2 (Delta) and B.1.529 (Omicron). After sequencing, differential gene expression, gene ontology (GO) and genome pathway enrichment analyses were performed. An Immune Cell Abundance Identifier (ImmuCellAI) was used to identify the abundance of different cell populations. Additionally, RT-qPCR was used to validate the RNA-seq data. The viral load and hierarchical clustering analyses divided the samples into two different clusters with notable differences in gene expression at day 6 post-infection for all variants compared to the control group. GO and the Kyoto Encyclopedia of genes and genomes enrichment analyses revealed similar patterns of pathway enrichment for different variants. ImmuCellAI revealed the changes in immune cell populations, including the decrease in CD4 T and B cell proportions and the increase in CD8 T and dendritic cell proportions. A co-expression network analysis revealed that some genes, such as , interleukin- () and tumor necrosis factor alpha (), were dysregulated in all variants. A RT-qPCR analysis for , and further validated the RNA-seq analysis. In conclusion, this study provides, for the first time, an extensive transcriptome analysis of a K18-hACE2 mouse brain after infection with major SARS-CoV-2 variants.
自新冠疫情爆发以来,已出现了多种严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体。虽然SARS-CoV-2感染的主要部位是肺部,但它也会影响大脑并引发神经症状。然而,不同变体对大脑的具体影响仍不清楚。在本研究中,我们使用感染了原始B.1(武汉)变体以及包括B.1.1.7(阿尔法)、B.1.351(贝塔)、B.1.617.2(德尔塔)和B.1.529(奥密克戎)在内的主要SARS-CoV-2关注变体的K18-hACE2小鼠的脑组织进行了全转录组分析。测序后,进行了差异基因表达、基因本体(GO)和基因组通路富集分析。使用免疫细胞丰度识别器(ImmuCellAI)来识别不同细胞群体的丰度。此外,还使用逆转录定量聚合酶链反应(RT-qPCR)来验证RNA测序数据。病毒载量和层次聚类分析将样本分为两个不同的簇,与对照组相比,所有变体在感染后第6天的基因表达存在显著差异。GO和京都基因与基因组百科全书富集分析揭示了不同变体的通路富集模式相似。ImmuCellAI揭示了免疫细胞群体的变化,包括CD4 T细胞和B细胞比例的降低以及CD8 T细胞和树突状细胞比例的增加。共表达网络分析表明,一些基因,如白细胞介素-()和肿瘤坏死因子α(),在所有变体中均失调。对、和的RT-qPCR分析进一步验证了RNA测序分析。总之,本研究首次提供了感染主要SARS-CoV-2变体后K18-hACE2小鼠大脑的广泛转录组分析。