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The transcriptomic landscape of diffuse radiological bronchiectasis

Wei-jie Guan, Pei-cun Hu, Miguel Angel Martinez-Garcia
European Respiratory Journal 2023 61: 2201733; DOI: 10.1183/13993003.01733-2022
Wei-jie Guan
1State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
2Department of Thoracic Surgery, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
3Department of Respiratory and Critical Care Medicine, Foshan Second People's Hospital, Affiliated Foshan Hospital of Southern Medical University, Foshan, China
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  • For correspondence: battery203@163.com
Pei-cun Hu
3Department of Respiratory and Critical Care Medicine, Foshan Second People's Hospital, Affiliated Foshan Hospital of Southern Medical University, Foshan, China
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Miguel Angel Martinez-Garcia
4Pneumology Department, University and Politechnic La Fe Hospital, Valencia, Spain
5Centro de Investigación Biomédica En Red de Enfermedades Respiratorias – CIBERES – Instituto de Salud Carlos III, Madrid, Spain
6Senior author
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Extract

Bronchiectasis is a heterogeneous chronic structural lung disease in which four canonical elements of a vicious circle, i.e. recurrent airway infections, impaired mucociliary clearance, chronic airway inflammation and irreversible airway dilatation, have been implicated [1, 2]. Unravelling the underlying causes of bronchiectasis, which can only be ascertained in approximately 50% of patients despite exhaustive diagnostic efforts [3], is clinically relevant for optimising therapeutic interventions by targeting the core pathophysiology. There are a number of primary underlying causes, for instance, primary ciliary dyskinesia, which affects the motile cilia, cystic fibrosis, and congenital malformation. Several studies have indicated a role of genetic mutations in bronchiectasis [4–6], evidenced by the possible link with the clinical phenotypes and disease severity. These studies also suffered from a limited capacity of thoroughly identifying the genes broadly representative of pathophysiology.

Abstract

Transcriptomic profiling helps to unveil the pathophysiology of bronchiectasis https://bit.ly/3C1B6JA

Footnotes

  • Author contributions: W-J. Guan, P-C. Hu and M.A. Martinez-Garcia drafted and critically reviewed the manuscript. All authors have approved for the final submission.

  • Conflict of interest: All authors declare no potential conflict of interest related to this paper

  • Support statement: National Natural Science Foundation – Outstanding Youth Fund (number 82222001), National Natural Science Foundation (number 81870003), Guangdong Science and Technology Foundation (number 2019B030316028) and Zhongnanshan Medical Foundation of Guangdong Province (number ZNSA-2020013) (to W-J. Guan). M.A. Martinez-Garcia has no source of funding related to this paper. Funding information for this article has been deposited with the Crossref Funder Registry.

  • Received September 4, 2022.
  • Accepted September 16, 2022.
  • Copyright ©The authors 2023. For reproduction rights and permissions contact permissions{at}ersnet.org
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The transcriptomic landscape of diffuse radiological bronchiectasis
Wei-jie Guan, Pei-cun Hu, Miguel Angel Martinez-Garcia
European Respiratory Journal Jan 2023, 61 (1) 2201733; DOI: 10.1183/13993003.01733-2022

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The transcriptomic landscape of diffuse radiological bronchiectasis
Wei-jie Guan, Pei-cun Hu, Miguel Angel Martinez-Garcia
European Respiratory Journal Jan 2023, 61 (1) 2201733; DOI: 10.1183/13993003.01733-2022
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