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Unraveling the Pathogenesis of Asthma and Chronic Obstructive Pulmonary Disease Overlap: Focusing on Epigenetic Mechanisms.

Authors :
Chen, Yung-Che
Chang, Yu-Ping
Huang, Kuo-Tung
Hsu, Po-Yuan
Hsiao, Chang-Chun
Lin, Meng-Chih
Source :
Cells (2073-4409); Jun2022, Vol. 11 Issue 11, p1728-1728, 15p
Publication Year :
2022

Abstract

Asthma and COPD overlap (ACO) is characterized by patients presenting with persistent airflow limitation and features of both asthma and COPD. It is associated with a higher frequency and severity of exacerbations, a faster lung function decline, and a higher healthcare cost. Systemic inflammation in COPD and asthma is driven by type 1 T helper (Th1) and Th2 immune responses, respectively, both of which may contribute to airway remodeling in ACO. ACO-related biomarkers can be classified into four categories: neutrophil-mediated inflammation, Th2 cell responses, arachidonic acid-eicosanoids pathway, and metabolites. Gene–environment interactions are key contributors to the complexity of ACO and are regulated by epigenetic mechanisms, including DNA methylation, histone modifications, and non-coding RNAs. Thus, this review focuses on the link between epigenetics and ACO, and outlines the following: (I) inheriting epigenotypes without change with environmental stimuli, or epigenetic changes in response to long-term exposure to inhaled particles plus intermittent exposure to specific allergens; (II) epigenetic markers distinguishing ACO from COPD and asthma; (III) potential epigenetic drugs that can reverse oxidative stress, glucocorticoid insensitivity, and cell injury. Improved understanding of the epigenetic regulations holds great value to give deeper insight into the mechanisms, and clarify their implications for biomedical research in ACO. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734409
Volume :
11
Issue :
11
Database :
Complementary Index
Journal :
Cells (2073-4409)
Publication Type :
Academic Journal
Accession number :
157371055
Full Text :
https://doi.org/10.3390/cells11111728