# Microglial P2Y12 Receptors in Normal Developmental Physiology and Seizures

> **NIH NIH K22** · UNIVERSITY OF VIRGINIA · 2020 · $239,738

## Abstract

The overall goal of the proposed research for this K22 award is to test the hypothesis that
P2Y12 receptors regulate prime microglial cell function during normal development and
contribute to physiological neuronal excitability and consequently outcomes from a
developmental seizure disorder. In the mentored Phase I, I will develop technical skill in (i) high
resolution two photon in vivo imaging techniques in and (ii) electroencephalogram (EEG)
implantation seizure measurement in developing mice. Having developed these techniques, in
the independent Phase II, I will address the specific aims of this proposal including determining
the role of P2Y12 receptors in microglial colonization and phagocytosis in the developing brain
(Aim 1); determining the role of microglial P2Y12 receptors in synaptic structure and function
(Aim 2); and determining any contributions of microglial P2Y12 receptors in the seizure
phenotypes and outcomes in a developmental seizure model of Dravet Syndrome. When
completed, this proposal will provide an understanding of P2Y12 receptor roles in microglial
activities and its consequences on neuronal maturation and seizure phenotypes that could
inform future therapeutic approaches.

## Key facts

- **NIH application ID:** 9980516
- **Project number:** 5K22NS104392-05
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Ukpong Bassey Eyo
- **Activity code:** K22 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $239,738
- **Award type:** 5
- **Project period:** 2017-12-08 → 2021-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9980516

## Citation

> US National Institutes of Health, RePORTER application 9980516, Microglial P2Y12 Receptors in Normal Developmental Physiology and Seizures (5K22NS104392-05). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/9980516. Licensed CC0.

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