# Pathways Regulating Lung Transplant Tolerance.

> **NIH NIH P01** · WASHINGTON UNIVERSITY · 2021 · $1,561,764

## Abstract

PROJECT SUMMARY/ABSTRACT
Lung transplantation remains the only available treatment for many patients, who suffer from end-
stage pulmonary disease. Outcomes after lung transplantation, however, continue to be far worse
compared to those after transplantation of other organs. Current immunosuppression for lung
transplant patients are based on protocols that have been developed for patients receiving other
organs. However, such approaches do not take unique immunological features of lungs into
consideration that differ substantially from other commonly transplanted organs. Utilizing new
clinically relevant mouse models of lung transplantation we have uncovered that induction and
maintenance of tolerance to pulmonary grafts is regulated locally through interactions of immune
cells within the graft. Tolerant lung grafts develop tertiary lymphoid organs that are enriched in
immunoregulatory cell populations that maintain a quiescent state. This proposal explores
mechanisms how tolerance is regulated after pulmonary transplantation. We examine pathways
that result in graft failure when the tolerant state is disrupted. Insights gained from this application
will allow for the development of new therapeutic strategies for lung transplant patients.

## Key facts

- **NIH application ID:** 10197013
- **Project number:** 5P01AI116501-07
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Daniel Kreisel
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,561,764
- **Award type:** 5
- **Project period:** 2015-05-12 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10197013

## Citation

> US National Institutes of Health, RePORTER application 10197013, Pathways Regulating Lung Transplant Tolerance. (5P01AI116501-07). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10197013. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*