# CD10-bound Exosomes from IFP-MSC Degrade Substance P Controlling OA Inflammation and Pain

> **NIH NIH R21** · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · 2023 · $202,620

## Abstract

PROJECT SUMMARY
 Osteoarthritis (OA) ‘clinical phenotypes’ have similar clinical end-points (pain, stiffness, joint damage,
etc.), and a common activation of local inflammatory/immune cascades. Synovitis/infrapatellar fat pad (IFP)
fibrosis participate in OA, with Substance P (SP) neuropeptide mediating pain perception and local
immune/inflammatory responses. IFP-derived Mesenchymal Stem Cells (IFP-MSC) enriched for CD10 induce
SP degradation in vitro and in vivo significantly reversing synovitis/IFP fibrosis and attenuating articular cartilage
degradation. IFP-MSC supernatant comparably degrades SP via the release of CD10-bound exosomes
extracellular microvesicles. This project aims at generating exosomes with varying CD10 levels (Unfractionated-
, CD10High-, CD10Low-, and siCD10-bound exosomes) from immunophenotypically sorted IFP-MSC under
regulatory-compliant practices. The generated exosomes groups will be tested for their SP degradation effects
in vitro and in vivo, and their therapeutic effects to simultaneously target synovitis/IFP fibrosis together with
attenuation of joint pain and AC degradation in vivo.

## Key facts

- **NIH application ID:** 10667619
- **Project number:** 5R21AR080388-02
- **Recipient organization:** UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
- **Principal Investigator:** DIMITRIOS KOUROUPIS
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $202,620
- **Award type:** 5
- **Project period:** 2022-07-18 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10667619

## Citation

> US National Institutes of Health, RePORTER application 10667619, CD10-bound Exosomes from IFP-MSC Degrade Substance P Controlling OA Inflammation and Pain (5R21AR080388-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10667619. Licensed CC0.

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