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Sonic hedgehog signalling as a potential endobronchial biomarker in COPD

Abstract : Abstract Background The hedgehog (HH) pathway has been associated with chronic obstructive pulmonary disease (COPD) in genome-wide association studies and recent studies suggest that HH signalling could be altered in COPD. We therefore used minimally invasive endobronchial procedures to assess activation of the HH pathway including the main transcription factor, Gli2, and the ligand, Sonic HH (Shh). Methods Thirty non-COPD patients and 28 COPD patients were included. Bronchial brushings, bronchoalveolar lavage fluid (BALF) and bronchial biopsies were obtained from fiberoptic bronchoscopy. Characterization of cell populations and subcellular localization were evaluated by immunostaining. ELISA and RNAseq analysis were performed to identify Shh proteins in BAL and transcripts on lung tissues from non-COPD and COPD patients with validation in an external and independent cohort. Results Compared to non-COPD patients, COPD patients exhibited a larger proportion of basal cells in bronchial brushings (26 ± 11% vs 13 ± 6%; p < 0.0001). Airway basal cells of COPD subjects presented less intense nuclear staining for Gli2 in bronchial brushings and biopsies ( p < 0.05). Bronchial BALF from COPD patients contained lower Shh concentrations than non-COPD BALF (12.5 vs 40.9 pg/mL; p = 0.002); SHH transcripts were also reduced in COPD lungs in the validation cohort ( p = 0.0001). Conclusion This study demonstrates the feasibility of assessing HH pathway activation in respiratory samples collected by bronchoscopy and identifies impaired bronchial epithelial HH signalling in COPD.
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Contributor : Arnaud Bonnomet Connect in order to contact the contributor
Submitted on : Thursday, September 2, 2021 - 11:34:23 AM
Last modification on : Thursday, October 14, 2021 - 1:10:15 PM

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Julien Ancel, Randa Belgacemi, Jeanne-Marie Perotin, Zania Diabasana, Sandra Dury, et al.. Sonic hedgehog signalling as a potential endobronchial biomarker in COPD. Respiratory Research, BioMed Central, 2020, 21 (1), ⟨10.1186/s12931-020-01478-x⟩. ⟨hal-03331896⟩



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