Pathophysiology and genomics of bronchiectasis.
Journal
European respiratory review : an official journal of the European Respiratory Society
ISSN: 1600-0617
Titre abrégé: Eur Respir Rev
Pays: England
ID NLM: 9111391
Informations de publication
Date de publication:
Jul 2024
Jul 2024
Historique:
received:
18
03
2024
accepted:
02
05
2024
medline:
4
7
2024
pubmed:
4
7
2024
entrez:
3
7
2024
Statut:
epublish
Résumé
Bronchiectasis is a complex and heterogeneous inflammatory chronic respiratory disease with an unknown cause in around 30-40% of patients. The presence of airway infection together with chronic inflammation, airway mucociliary dysfunction and lung damage are key components of the vicious vortex model that better describes its pathophysiology. Although bronchiectasis research has significantly increased over the past years and different endotypes have been identified, there are still major gaps in the understanding of the pathophysiology. Genomic approaches may help to identify new endotypes, as has been shown in other chronic airway diseases, such as COPD.Different studies have started to work in this direction, and significant contributions to the understanding of the microbiome and proteome diversity have been made in bronchiectasis in recent years. However, the systematic application of omics approaches to identify new molecular insights into the pathophysiology of bronchiectasis (endotypes) is still limited compared with other respiratory diseases.Given the complexity and diversity of these technologies, this review describes the key components of the pathophysiology of bronchiectasis and how genomics can be applied to increase our knowledge, including the study of new techniques such as proteomics, metabolomics and epigenomics. Furthermore, we propose that the novel concept of trained innate immunity, which is driven by microbiome exposures leading to epigenetic modifications, can complement our current understanding of the vicious vortex. Finally, we discuss the challenges, opportunities and implications of genomics application in clinical practice for better patient stratification into new therapies.
Identifiants
pubmed: 38960613
pii: 33/173/240055
doi: 10.1183/16000617.0055-2024
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright ©The authors 2024.
Déclaration de conflit d'intérêts
Conflict of interest: L. Perea reports no conflicts of interest. R. Faner reports grants or contracts from AstraZeneca, Chiesi, GlaxoSmithKline, Menarini, Instituto de Salud Carlos III, European Research Council and Fondo Europeo de Desarrollo Regional (FEDER); lecture honoraria from AstraZeneca, Zambon and Chiesi; and consulting fees from AstraZeneca. J.D. Chalmers reports grants or contracts from AstraZeneca, Boehringer Ingelheim, Genentech, Gilead Sciences, GlaxoSmithKline, Grifols, Insmed, LifeArc and Novartis; and consulting fees from AstraZeneca, Chiesi, GlaxoSmithKline, Insmed, Grifols, Novartis, Boehringer Ingelheim, Pfizer, Janssen, Antabio and Zambon. O. Sibila reports no conflicts of interest.