# Neuroregeneration after stroke using Vascular Guidance

> **NIH NIH R21** · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · 2024 · $221,120

## Abstract

Project summary
 This study addresses the challenge of improving neural progenitor (NP) survival and migration in the context of
neurodegenerative diseases and brain injuries. It investigates the potential of adult CNS endothelial cells (ECs) to express
developmental genes following epigenetic reprogramming, aiming to guide NP migration and enhance neurovascular
communication. The research also delves into the capacity of CNS vessels, induced with developmental gene cohorts, to
boost NP survival and migration in stroke-affected brains. Specific aims include comprehensive migration assays and the
evaluation of post-stroke brain recovery through detailed assessments of NP survival, migration, and differentiation. The
anticipated outcomes seek to contribute fundamental knowledge and potentially transform neural progenitor treatment
strategies, proposing a novel approach that combines vascular rejuvenation with NP transplantation for improved
cognitive and motor skills and overall enhanced clinical outcomes. If successful, the results of this application will
significantly influence the design of neural progenitor (NP) transplant-treatment strategies for neurological disorders,
including stroke.

## Key facts

- **NIH application ID:** 10986876
- **Project number:** 1R21NS135176-01A1
- **Recipient organization:** UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
- **Principal Investigator:** Peeyush Kumar Thankamani Pandit
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $221,120
- **Award type:** 1
- **Project period:** 2024-09-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10986876

## Citation

> US National Institutes of Health, RePORTER application 10986876, Neuroregeneration after stroke using Vascular Guidance (1R21NS135176-01A1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10986876. Licensed CC0.

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