# Pulmonary valved conduit xenograft with regeneration potential

> **NIH NIH R41** · ANNOVIANT, INC · 2020 · $55,000

## Abstract

The objective of our predicate STTR Phase 1 grant (#1R41HL147771-01) activated in July 2019 is to
confirm proof of concept and conduct initial feasibility studies to commercialize patented technologies
(US Patents # 9,795,573 & 9,283,241), hereafter referred a TxGuardTM, for pulmonary valved conduits
needed for children with congenital heart disease (CHD). CHD affects approximately 40,000 newborns
each year in the United States. According to CDC studies, there are estimated more than 2.5 million
patients with CHD living the US. The new TxGuardTM device has a potential to overcome the clinical
deficiencies (calcification, thrombogenicity, durability, stiffness, susceptibility to infection, etc.) with the
commercial products. The novelty of the technology lies in the physically crosslinked decellularized
tissue that provides adequate mechanical property at the beginning of the implant and slow
degradability as the host cells repopulate the tissue.
TGen Tech has assembled a team for the I-Corps at NIH program that exhibits necessary relevant
experience to commercialize the technology. The team is eager to learn through I-Corp program about
the specific steps required for commercialization, specifically IP and regulatory risk for our project, and
validate the customer needs.

## Key facts

- **NIH application ID:** 10086830
- **Project number:** 3R41HL147771-01S1
- **Recipient organization:** ANNOVIANT, INC
- **Principal Investigator:** Naren R Vyavahare
- **Activity code:** R41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $55,000
- **Award type:** 3
- **Project period:** 2020-03-02 → 2021-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10086830

## Citation

> US National Institutes of Health, RePORTER application 10086830, Pulmonary valved conduit xenograft with regeneration potential (3R41HL147771-01S1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10086830. Licensed CC0.

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