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A humanized mouse model system mimics prenatal Zika infection and reveals premature differentiation

Horvath, A. R.; Abdelmalek, C. M.; Park, E.; Alexander, A. P.; Maheswaran, S. A.; Patel, A. H.; Patel, N. G.; Ruan, J. E.; Adeyemo, A. T.; Li, E. C.; Helmicki, K. E.; Lin, S.; Wang, P. C.; Li, Z.; Wang, L.; Gordish-Dressman, H. A.; Haydar, T. F.; Mansour, T. A.; Kousa, Y.

2025-02-25 neuroscience
10.1101/2025.02.21.639556 bioRxiv
Show abstract

Zika, a mosquito-borne flavivirus, has been found in 87 countries and territories. Global outbreaks peaked in 2016. Prenatal infection of Zika virus was found to be associated with microcephaly, arthrogryposis, intracranial calcifications, fetal growth restriction, and fetal demise. The most severely affected children were diagnosed with congenital Zika syndrome, which impacts thousands worldwide. With no approved treatment or preventative measures for Zika, future viral outbreaks have the potential to cause epidemic levels of prenatal brain injury, as seen over the past 70 years. Therefore, there is a great need for a reliable and clinically translational experimental system that mimics the human condition of prenatal Zika infection. To this end, we developed a humanized, immunocompetent mouse model system of virally induced brain injury from prenatal Zika infection, which ranges from mild to severe. Here, we describe the extent to which this system mirrors the human phenotypic spectrum. Using our thorough preclinical system, we find that prenatal Zika infection of mice impacts survival rate, anthropometric measurements, tissue formation, and neurological outcomes, all of which are typical of prenatal infection. Single-cell RNA sequencing of the Zika-infected cerebral cortex reveals severely disrupted transcriptome profiles and suggests that these injuries are a result of a depletion of neural stem cells. Current and future applications include the identification of genetic or environmental modifiers of brain injury, molecular or mechanistic studies of pathogenesis, and preclinical evaluation of future therapies.

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