# The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Project 2: Preclinical Model for Antiepileptogenic Therapy Screening in Post-traumatic Epilepsy

> **NIH NIH U54** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2020 · $1,695,679

## Abstract

ABSTRACT– PROJECT 2 – PRECLINICAL MODEL FOR ANTIEPILEPTOGENIC THERAPY SCREENING
IN POST-TRAUMATIC EPILEPSY
There is currently no validated antiepileptogenic therapy for acquired epilepsies, such as post-traumatic
epilepsy. Despite the grave human cost of post-traumatic epilepsy, undertaking the effort to perform a clinical
antiepileptogenesis trial is currently hugely difficult, due to the significant cost, time to follow up, and very high
numbers of subjects needed to treat to eventually observe antiepileptogenic effect. The availability of a
biomarker that predicts, at an early stage, who will develop epilepsy and who might benefit from the
antiepileptogenic effect of a treatment would significantly accelerate and de-risk the process of identifying an
antiepileptogenic therapy. Furthermore, the concern that animal studies report several promising discoveries
that do not always translate into clinically relevant findings has discouraged efforts to sponsor rigorous
antiepileptogenesis trials in humans, when there is a significant risk of failure. In this study, Project 2 of the
EpiBioS4Rx Center Without Walls, we aim to create a rigorous and effective preclinical model to screen
antiepileptogenic therapies for posttraumatic epilepsy by trying to fill two important gaps (a) identify and
validate a biomarker of posttraumatic epileptogenesis that can predict the antiepileptogenic effect of a
treatment and (b) enhance the reproducibility of the study by creating the first multicenter, double-blinded,
vehicle controlled, randomized preclinical antiepileptogenesis study following the high standards of rigor
advocated by NINDS, the AES/ILAE Translational Research Task Force and the ARRIVE guidelines. We have
formed a collaborative group of four international preclinical testing centers (Albert Einstein College of
Medicine, University of Melbourne, UCLA, University of Eastern Finland), supported by experts in
pharmacokinetic modeling (University of Minnesota), and experts in peripheral electrophysiology and imaging
biomarker discovery, as well as neurotherapeutics. A preclinical Data Safety Monitoring Board will be
overseeing the progress and advise on strategies and the preparation of a clinical cohort for the future clinical
trial. We have selected 5 novel treatments that target different mechanisms and using a multimodal screening
process for target engagement and modification of candidate biomarkers of posttraumatic epileptogenesis, we
aim to identify (a) at least one treatment to screen in this rigorous model for its antiepileptogenic potential, and
(b) at least one biomarker of posttraumatic epileptogenesis that can predict early the antiepileptogenic effect.
Our investigators work closely with Project 1 (discovery of biomarkers of epileptogenesis in animals), Project 3
(discovery of biomarkers of epileptogenesis in humans), the Informatics and Analytics Core, and the Public
Engagement Core.

## Key facts

- **NIH application ID:** 9849340
- **Project number:** 5U54NS100064-04
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Aristea S Galanopoulou
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,695,679
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9849340

## Citation

> US National Institutes of Health, RePORTER application 9849340, The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) Project 2: Preclinical Model for Antiepileptogenic Therapy Screening in Post-traumatic Epilepsy (5U54NS100064-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9849340. Licensed CC0.

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