Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Follow-up Study of Autologous Transplantation of P63+ Lung Progenitor Cells for Treatment of Bronchiectasis

Ruijin Hospital · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
na
This is the follow-up study of autologous transplantation of P63+ lung progenitor cells (LPCs) for treatment of bronchiectasis (NCT03655808). Bronchiectasis is the consequence of chronic suppurative inflammation and fibrosis of the bronchial tubes and the surrounding lung tissues. This seriously damages the muscular and elastic tissues of the bronchial walls, leading to deformation and permanent dilatation of the bronchial tubes. Histopathological damage to the patient's lungs is irremediable. However, there is no effective drug for rebuilding the damaged lung tissue structure, and thus cannot fully restore normal lung function. Lung progenitor cells, located in the basal position of the bronchial epithelium, express the P63 and Keratin-5 (KRT5) marker genes. These cells are active in division and migration, continuously generating new cells to replace other types of dead epithelial cells. They exhibit functional plasticity and can directly repair bronchial and alveolar structures. P63+ LPCs can be extracted by fibreoptic brushing and then isolated, purified and expanded on a large scale using appropriate methods. Currently, preclinical studies and some pilot clinical trials have shown that these cells can successfully repair damaged lungs, improve lung function and have a favourable safety profile. To further investigate the therapeutic mechanism of P63+ LPCs, RNA sequencing will be performed on the remaining LPCs previously transplanted back into the patients. Additionally, to confirm the existence of LPCs in the lung tissue of bronchiectasis patients, the pathological sections of lung tissue samples from patients who had received surgical resection of the lesions, will be subjected to fluorescence staining.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1173892
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive