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CC16 augmentation reduces exaggerated COPD-like disease in Cc16-deficient mice
Joselyn Rojas-Quintero, … , Francesca Polverino, Caroline A. Owen
Joselyn Rojas-Quintero, … , Francesca Polverino, Caroline A. Owen
Published February 14, 2023
Citation Information: JCI Insight. 2023;8(6):e130771. https://doi.org/10.1172/jci.insight.130771.
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Research Article Immunology Inflammation

CC16 augmentation reduces exaggerated COPD-like disease in Cc16-deficient mice

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Abstract

Low Club Cell 16 kDa protein (CC16) plasma levels are linked to accelerated lung function decline in patients with chronic obstructive pulmonary disease (COPD). Cigarette smoke–exposed (CS-exposed) Cc16–/– mice have exaggerated COPD-like disease associated with increased NF-κB activation in their lungs. It is unclear whether CC16 augmentation can reverse exaggerated COPD in CS-exposed Cc16–/– mice and whether increased NF-κB activation contributes to the exaggerated COPD in CS-exposed Cc16–/– lungs. CS-exposed WT and Cc16–/– mice were treated with recombinant human CC16 (rhCC16) or an NF-κB inhibitor versus vehicle beginning at the midpoint of the exposures. COPD-like disease and NF-κB activation were measured in the lungs. RhCC16 limited the progression of emphysema, small airway fibrosis, and chronic bronchitis-like disease in WT and Cc16–/– mice partly by reducing pulmonary inflammation (reducing myeloid leukocytes and/or increasing regulatory T and/or B cells) and alveolar septal cell apoptosis, reducing NF-κB activation in CS-exposed Cc16–/– lungs, and rescuing the reduced Foxj1 expression in CS-exposed Cc16–/– lungs. IMD0354 treatment reduced exaggerated lung inflammation and rescued the reduced Foxj1 expression in CS-exposed Cc16–/– mice. RhCC16 treatment reduced NF-κB activation in luciferase reporter A549 cells. Thus, rhCC16 treatment limits COPD progression in CS-exposed Cc16–/– mice partly by inhibiting NF-κB activation and represents a potentially novel therapeutic approach for COPD.

Authors

Joselyn Rojas-Quintero, Maria Eugenia Laucho-Contreras, Xiaoyun Wang, Quynh-Anh Fucci, Patrick R. Burkett, Se-Jin Kim, Duo Zhang, Yohannes Tesfaigzi, Yuhong Li, Abhiram R. Bhashyam, Zhang Li, Haider Khamas, Bartolome Celli, Aprile L. Pilon, Francesca Polverino, Caroline A. Owen

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