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Pathophysiological features of disease in a large animal model of COPD

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https://www.ncbi.nlm.nih.gov/sra/SRP458692
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Background: Chronic obstructive pulmonary disease (COPD) is a serious chronic disease of the airways that affects many people worldwide and have limited treatment options. While small animal models provide a platform for therapeutic investigations into COPD, their deficiencies continue to impede clinical translation. Alternatively, as a large animal model, sheep have a respiratory system anatomically and physiologically similar to that of humans, encouraging their use in airway disease research. The aim of this study was to better understand disease pathology in a large animal (sheep) experimental model of COPD. Methods: COPD was induced in sheep following lung exposure to porcine elastase (PE) and repeated weekly lung exposures to lipopolysaccharide (LPS) over a period of 8 weeks. Bronchoalveolar fluid and blood samples were collected for immune analyses. Lung function was assessed and lung tissues were collected for histopathology and RNA sequencing. Results: Lung neutrophil levels were elevated in response to repeated airway exposure to PE/LPS, accompanied by a significant decline in ventilation over time. Histological evidence of COPD-like disease changes included chronic inflammation with increased airway and tissue inflammation scores, together with significantly larger airway wall area measures, increased connective tissue deposition and dysregulated gene expression. Conclusions: These studies demonstrate sustained chronic airway inflammation and pathophysiological lung changes in a sheep model of COPD, providing many similarities to that seen in COPD patients. This work opens a pathway for future translational studies using this unique large animal model of COPD, which will serve to bridge the gap between smaller animal models and humans. Overall design: Total RNA samples from Saline- and Porcine Elastase/LPS-exposed lung lobes sheep (n=7 in triplicate) sequenced after quality control analysis
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2023-12-31
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