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Zika Virus Infectious Cell Culture System and the In Vitro Prophylactic Effect of Interferons
Published on: August 23, 2016
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Transcriptomic Profile of Glioblastoma Cells Infected with Zika Virus: A Systematic Review and Pathway Analysis
Diego Menezes1, Clarisse Rezende Reis2, Izabela Mamede2,3
1Laboratory of Integrative Biology, Department of Genetics, Ecology and Evolution, ICB, UFMG, Belo Horizonte 31270-901, Brazil.
Viruses
|February 27, 2026
Summary
Zika virus shows promise against glioblastoma by altering gene expression, primarily through interferon signaling pathways. Further research is needed to understand these interactions and develop standardized protocols for Zika virus and glioblastoma studies.
Area of Science:
- Oncology
- Virology
- Genomics
Background:
- Glioblastoma (GBM) is an aggressive brain tumor with limited treatment options.
- Zika virus (ZIKV) exhibits potential anti-GBM activity, but the underlying cellular mechanisms are not fully understood.
Purpose of the Study:
- To systematically review and analyze differentially expressed genes (DEGs) in glioblastoma models infected with Zika virus.
- To identify key cellular pathways involved in the ZIKV-GBM interaction through pathway analysis of DEGs.
Main Methods:
- Systematic review of open-access primary studies using transcriptomic approaches to identify DEGs in ZIKV-infected GBM models.
- Pathway analysis of reported DEGs from eligible studies.
- Risk of bias assessment for included in vitro and in vivo studies.
Main Results:
- A total of 4360 genes were upregulated and 2072 downregulated in ZIKV-infected GBM models.
- Twelve genes, including DNAJB9, SESN2, and IFNB1, were consistently upregulated across studies.
- Pathway analysis revealed 23 commonly enriched pathways, predominantly related to interferon signaling.
Conclusions:
- Zika virus infection significantly alters gene expression in glioblastoma models, with a notable enrichment of interferon signaling pathways.
- Consistent upregulation of specific genes suggests potential therapeutic targets.
- Methodological heterogeneity among studies highlights the need for standardized protocols in ZIKV-GBM research.
