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This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Congenital Zika virus (ZIKV) exposure results in a spectrum of disease ranging from severe birth defects to delayed onset neurodevelopmental deficits. ZIKV-related neuropathogenesis, predictors of birth defects, and neurodevelopmental deficits are not well defined in people. Here we assess the methodological and statistical feasibility of a congenital ZIKV exposure macaque model for identifying infant neurobehavior and brain abnormalities that may underlie neurodevelopmental deficits. We inoculated five pregnant macaques with ZIKV and mock-inoculated one macaque in the first trimester. Following birth, growth, ocular structure/function, brain structure, hearing, histopathology, and neurobehavior were quantitatively assessed during the first week of life. We identified the typical pregnancy outcomes of congenital ZIKV infection, with fetal demise and placental abnormalities. We estimated sample sizes needed to define differences between groups and demonstrated that future studies quantifying brain region volumes, retinal structure, hearing, and visual pathway function require a sample size of 14 animals per group (14 ZIKV, 14 control) to detect statistically significant differences in at least half of the infant exam parameters. Establishing the parameters for future studies of neurodevelopmental outcomes following congenital ZIKV exposure in macaques is essential for robust and rigorous experimental design.

Details

Title
Quantitative definition of neurobehavior, vision, hearing and brain volumes in macaques congenitally exposed to Zika virus
Author
Koenig, Michelle R; Razo, Elaina; Mitzey, Ann; Newman, Christina M; Dudley, Dawn M; Breitbach, Meghan E; Semler, Matthew R; Stewart, Laurel M; Weiler, Andrea M; Rybarczyk, Sierra; Bach, Kathryn M; Mohns, Mariel S; Simmons, Heather A; Mejia, Andres; Fritsch, Michael; Dennis, Maria; Teixeira, Leandro B C; Schotzko, Michele L; Nork, T Michael; Rasmussen, Carol A; Katz, Alex; Nair, Veena; Hou, Jiancheng; Hartman, Amy; James Ver Hoeve; Kim, Charlene; Schneider, Mary L; Ausderau, Karla; Kohn, Sarah; Jaeger, Anna S; Aliota, Matthew T; Hayes, Jennifer M; Schultz-Darken, Nancy; Eickhoff, Jens; Antony, Kathleen M; Noguchi, Kevin; Zeng, Xiankun; Permar, Sallie; Prabhakaran, Vivek; Capuano, Saverio, III; Friedrich, Thomas C; Golos, Thaddeus G; David H O’Connor; Mohr, Emma L
First page
e0235877
Section
Research Article
Publication year
2020
Publication date
Oct 2020
Publisher
Public Library of Science
e-ISSN
19326203
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2453674944
Copyright
This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.