# Interrogating the role of the novel synaptic protein Rogdi in GABAergic inhibition and epilepsy

> **NIH NIH F31** · DUKE UNIVERSITY · 2020 · $33,078

## Abstract

ABSTRACT
 The pathophysiology of epilepsy is intimately linked with imbalances of excitation and inhibition (E/I) in the
brain. Although the loss of GABAergic inhibition is strongly implicated as a mechanism by which E/I imbalances
arise in human epilepsy disorders, the molecular mechanisms that govern synaptic inhibition, and thereby
maintain E/I balance, have been largely obscure. Recently, we discovered a novel inhibitory synaptic protein,
Rogdi, whose gene is strongly linked to a human epilepsy disorder, Kohlschütter-Tönz syndrome. Preliminary
data indicate that Rogdi may function either at the pre- or postsynapse where I hypothesize that it may regulate
the synaptic vesicle cycle or protein trafficking. I propose to test this hypothesis and demonstrate Rogdi’s
functional role at inhibitory synapses. Importantly, I will also determine if the loss of Rogdi is causal for seizures
in mice. The successful completion of the proposed research will generate a new preclinical mouse model for
studying Kohlschütter-Tönz syndrome and can be expected to generate an understanding of Rogdi’s molecular
function and its contribution towards the etiology of a human epilepsy disorder.

## Key facts

- **NIH application ID:** 9988845
- **Project number:** 5F31NS113738-02
- **Recipient organization:** DUKE UNIVERSITY
- **Principal Investigator:** Tyler Wesley Bradshaw
- **Activity code:** F31 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $33,078
- **Award type:** 5
- **Project period:** 2019-07-01 → 2021-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9988845

## Citation

> US National Institutes of Health, RePORTER application 9988845, Interrogating the role of the novel synaptic protein Rogdi in GABAergic inhibition and epilepsy (5F31NS113738-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9988845. Licensed CC0.

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