Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-18T08:50:05.623Z Has data issue: false hasContentIssue false

2566 Personalized models of distal airway epithelial-stromal unit in COPD

Published online by Cambridge University Press:  21 November 2018

Seyed B. Mahjour
Affiliation:
Department of Medicine, Weill Cornell Medical College, New York, NY, USA Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA Marsico Lung Institute/Cystic Fibrosis Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Kazunori Gomi
Affiliation:
Department of Medicine, Weill Cornell Medical College, New York, NY, USA
Busub Lee
Affiliation:
Department of Medicine, Weill Cornell Medical College, New York, NY, USA
Olivier Elemento
Affiliation:
Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA
Scott Randell
Affiliation:
Marsico Lung Institute/Cystic Fibrosis Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Renat Shaykhiev
Affiliation:
Department of Medicine, Weill Cornell Medical College, New York, NY, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

OBJECTIVES/SPECIFIC AIMS: The objective of this study is to develop patient-derived “personalized” organotypic models of human distal airways, in which basal stem cells (BCs) isolated from the pre-/terminal conducting airway region are co-cultured with autologous stromal cells from the same region to reproduce patient-specific distal airway epithelial-stromal units and their remodeling in COPD. METHODS/STUDY POPULATION: We established a protocol to isolate and propagate epithelial BCs, fibroblasts, and endothelial cells from the distal airways of normal and COPD lung donors. Heterogeneous cellular and molecular phenotypes in the human distal airways were characterized using immunofluorescence and single-cell RNA sequencing. Patient-specific distal airway epithelial-stromal units were reconstructed by co-culturing BCs and autologous stromal cells using an air-liquid interface-based airway wall model and a bronchosphere-based 3D distal airway organoid assay. RESULTS/ANTICIPATED RESULTS: Histologic analysis of derived epithelial-stromal units revealed heterogeneous patient-specific phenotypes characterized by hypo-/hyper-/metaplastic lesions (hypo-regenerative phenotype, mucous cell hyperplasia, squamous metaplasia, distal-to-proximal repatterning) in the epithelial compartment, accompanied, in some samples, by stromal remodeling. Candidate epithelial-stromal cross-talk mechanisms were identified using quantitative real-time RT-PCR analysis of autologous epithelial and stromal compartments of established patient-specific distal airway unit models. DISCUSSION/SIGNIFICANCE OF IMPACT: Epithelial and stromal cells isolated from distal airways of subjects with and without COPD can be assembled into functional, organ-level tissue which mimics the architecture of human distal airways and, in patients with COPD, reproduces several distal airway remodeling phenotypes. Patient-specific models of distal airway epithelial-stromal cross-talk established in this study can be used to identify candidate pathways that mediate disease-relevant airway remodeling and potentially utilized as pre-clinical platforms for developing personalized therapeutic approaches to suppress the progression of distal airway remodeling in chronic lung diseases, including COPD.

Type
Basic/Translational Science/Team Science
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2018