# "Clinical Trials" on a Premature Vascular Aging-on-a-Chip Model

> **NIH NIH UG3** · BRIGHAM AND WOMEN'S HOSPITAL · 2021 · $89,500

## Abstract

Abstract
Hutchinson-Gilford progeria syndrome (HGPS) is a genetic disorder that results in premature and accelerated
aging, while accumulation of progerin also occurs during physiological aging. Our paratal project seeks to
optimize a biomimetic HGPS-on-a-chip system generated with patient-derived fibroblasts (FBs), smooth
muscle cells (SMCs), and endothelial cells (ECs) that allow application of relevant cyclic stretch for performing
‘clinical trials’ or informing clinical trial designs for HGPS patients. This supplement further aims at developing
in-house protocols for streamlining experimental designs as they relate to data-generation, collection,
analyses, storage, as well as deposition into the MPS-Db, specific to the parental grant and in the most
meaningful way to the MPS-Db. We anticipate that we will be able to succeed in formulating these streamlined
protocols within the 1-year supplement project period that will allow us to both start depositing any data
generated in Y2 of the parental project or beyond as soon as they become available, without having to
spending additional dedicated efforts in bridging the laboratory-generated data with the MPS-Db.

## Key facts

- **NIH application ID:** 10432667
- **Project number:** 3UG3TR003274-02S1
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Y. Shrike Zhang
- **Activity code:** UG3 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $89,500
- **Award type:** 3
- **Project period:** 2021-08-25 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10432667

## Citation

> US National Institutes of Health, RePORTER application 10432667, "Clinical Trials" on a Premature Vascular Aging-on-a-Chip Model (3UG3TR003274-02S1). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10432667. Licensed CC0.

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