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Usage Information

IL-1 receptor antagonist therapy mitigates placental dysfunction and perinatal injury following Zika virus infection
Jun Lei, Meghan S. Vermillion, Bei Jia, Han Xie, Li Xie, Michael W. McLane, Jeanne S. Sheffield, Andrew Pekosz, Amanda Brown, Sabra L. Klein, Irina Burd
Jun Lei, Meghan S. Vermillion, Bei Jia, Han Xie, Li Xie, Michael W. McLane, Jeanne S. Sheffield, Andrew Pekosz, Amanda Brown, Sabra L. Klein, Irina Burd
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Research Article Reproductive biology

IL-1 receptor antagonist therapy mitigates placental dysfunction and perinatal injury following Zika virus infection

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Abstract

Zika virus (ZIKV) infection during pregnancy causes significant adverse sequelae in the developing fetus, and results in long-term structural and neurologic defects. Most preventive and therapeutic efforts have focused on the development of vaccines, antivirals, and antibodies. The placental immunologic response to ZIKV, however, has been largely overlooked as a target for therapeutic intervention. The placental inflammatory response, specifically IL-1β secretion and signaling, is induced by ZIKV infection and represents an environmental factor that is known to increase the risk of perinatal developmental abnormalities. We show in a mouse model that maternally administrated IL-1 receptor antagonist (IRA; Kineret, or anakinra), following ZIKV exposure, can preserve placental function (by improving trophoblast invasion and placental vasculature), increase fetal viability, and reduce neurobehavioral deficits in the offspring. We further demonstrate that while ZIKV RNA is highly detectable in placentas, it is not correlated with fetal viability. Beyond its effects in the placenta, we show that IL-1 blockade may also directly decrease fetal neuroinflammation by mitigating fetal microglial activation in a dose-dependent manner. Our studies distinguish the role of placental inflammation during ZIKV-infected pregnancies, and demonstrate that maternal IRA may attenuate fetal neuroinflammation and improve perinatal outcomes.

Authors

Jun Lei, Meghan S. Vermillion, Bei Jia, Han Xie, Li Xie, Michael W. McLane, Jeanne S. Sheffield, Andrew Pekosz, Amanda Brown, Sabra L. Klein, Irina Burd

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Usage data is cumulative from March 2025 through March 2026.

Usage JCI PMC
Text version 1,008 61
PDF 176 26
Figure 333 2
Table 55 0
Supplemental data 185 10
Citation downloads 156 0
Totals 1,913 99
Total Views 2,012
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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