Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
State Key Laboratory of Molecular Developmental Biology, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
Genomics Proteomics Bioinformatics. 2020 Dec;18(6):737-748. doi: 10.1016/j.gpb.2019.06.004. Epub 2021 Jan 6.
The association of Zika virus (ZIKV) infection with microcephaly has raised alarm worldwide. Their causal link has been confirmed in different animal models infected by ZIKV. However, the molecular mechanisms underlying ZIKV pathogenesis are far from clear. Hence, we performed global gene expression analysis of ZIKV-infected mouse brains to unveil the biological and molecular networks underpinning microcephaly. We found significant dysregulation of the sub-networks associated with brain development, immune response, cell death, microglial cell activation, and autophagy amongst others. We provided detailed analysis of the related complicated gene networks and the links between them. Additionally, we analyzed the signaling pathways that were likely to be involved. This report provides systemic insights into not only the pathogenesis, but also a path to the development of prophylactic and therapeutic strategies against ZIKV infection.
寨卡病毒（ZIKV）感染与小头畸形的关联在全球范围内引起了警报。不同的动物模型感染 ZIKV 已经证实了它们之间存在因果关系。然而，寨卡病毒发病机制的分子机制还远不清楚。因此，我们对感染寨卡病毒的小鼠大脑进行了全基因表达分析，以揭示导致小头畸形的生物学和分子网络。我们发现与大脑发育、免疫反应、细胞死亡、小胶质细胞激活和自噬等相关的子网络显著失调。我们对相关复杂基因网络及其之间的联系进行了详细分析。此外，我们还分析了可能参与的信号通路。本报告不仅系统地阐述了寨卡病毒的发病机制，还为开发针对寨卡病毒感染的预防和治疗策略提供了途径。
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