The Nose and the Lung: United Airway Disease?

Licari, Amelia; Castagnoli, Riccardo; Denicolò, Chiara Francesca; Rossini, Linda; Marseglia, Gian Luigi; Marseglia, Gian Luigi

doi:10.3389/fped.2017.00044

Cited by 105 publications

(78 citation statements)

References 45 publications

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“…17,18 The interrelation between the lower and upper airways has been argued repeatedly in the past; they can be unified by the concept of a "united airway." 22,23 Much research has demonstrated that most patients with allergic asthma have concomitant nasal symptoms as well as sinus mucosal disease, 24,25 and chronic rhinitis has also been proven to be a risk factor for asthma development. 22,23 Much research has demonstrated that most patients with allergic asthma have concomitant nasal symptoms as well as sinus mucosal disease, 24,25 and chronic rhinitis has also been proven to be a risk factor for asthma development.…”

Section: Discussionmentioning

confidence: 99%

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNA

Liu

Fang

et al. 2018

J of Cellular Biochemistry

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Background Allergic asthma is a lower respiratory tract disease of Th2 inflammation with multiple molecular mechanisms. The upper and lower airways can be unified by the concept of a united airway and, as such, gene expression studies of upper epithelial cells may provide effective surrogate biomarkers for the prognostic study of allergic asthma. Objective To identify surrogate biomarkers in upper airway epithelial cells for the prognostic study of allergic asthma. Methods Nasal epithelial cell gene expression in 40 asthmatic and 17 healthy control subjects were analyzed by weighted gene coexpression network analysis (WGCNA) to identify gene network modules and profiles in allergic asthma. Functional enrichment analysis was performed on the coexpression genes in certain highlighted modules. Results A total of 13 coexpression modules were constructed by WGCNA from 2804 genes in nasal epithelial brushing samples of the 40 asthmatic and 17 healthy subjects. The number of genes in these modules ranged from 1086 (Turquoise module) to 45 (Salmon). Eight coexpression modules were found to be significantly correlated (P < 0.05) with two clinic traits, namely disease status, and severity. Four modules were positively correlated ( P < 0.05) with the traits and these, therefore, contained genes that are mostly overexpressed in asthma. Contrastingly, the four other modules were found to be negatively correlated with the clinic traits. Functional enrichment analysis of the positively correlated modules showed that one (Magenta) was mainly enriched in mast cell activation and degranulation; another (Pink) was largely involved in immune cell response; the third (Yellow) was predominantly enriched in transmembrane signal pathways; and the last (Blue) was mainly enriched in substructure components of the cells. The hub genes in the modules were KIT, KITLG, GATA2, CD44, PTPRC, and CFTR, and these were confirmed as having significantly higher expression in the nasal epithelial cells. Combining the six hub genes enabled a relatively high capacity for discrimination between asthmatics and healthy subjects with an area under the receiver operating characteristic (ROC) curve of 0.924. Conclusions Our findings provide a framework of coexpression gene modules from nasal epithelial brushing samples that could be used for the prognostic study of allergic asthma.

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Section: Discussionmentioning

confidence: 99%

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNA

Liu

Fang

et al. 2018

J of Cellular Biochemistry

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“…Anatomically, a ciliated epithelium with mucinous glands, a rich vascularity and a dense adrenergic and vagal innervation feature the surface of the whole respiratory tract [8].…”

Section: Rhinitis and Asthma: A Continuum Of Diseasementioning

confidence: 99%

“…When physical triggers (e.g. air pollution, cold air, physical exercise, and professional exposure) affects the upper respiratory tract functions, such as nasal filter, resonance, air humidification, and heating, an increase in nasal resistance and an alteration of the homeostasis of the lower respiratory tract can occur [8]. Also, nasal exposure to numerous triggers (e.g.…”

Section: Rhinitis and Asthma: A Continuum Of Diseasementioning

confidence: 99%

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What are the effects of rhinitis on patients with asthma?

Licari

Manti

Ciprandi

2019

Expert Review of Respiratory Medicine

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“…Histologically, both nose and bronchi are composed of pseudostratified respiratory epithelium with columnar ciliated cells. The basement membrane and ciliary epithelium with glands and goblet cells are present through the whole respiratory tree, all the way to the passage in the respiratory bronchioles with the air cells [16]. This complex anatomical structure makes it necessary to humidify, temper, filter, and supply the air with nitric oxide before entering the gas-exchange region of the lung, protecting the lower respiratory tract from potentially harmful external agents.…”

Section: Anatomical Evidencementioning

confidence: 99%

Rhinosinutis and Asthma in Children

et al. 2018

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Rhinosinusitis and asthma are two comorbid conditions that lead to pathological and clinical diseases affecting the respiratory tract. They are connected by significant anatomical, epidemiological, pathophysiological, and clinical evidence, and also share therapeutic principles. The aim of this review is to provide an updated overview of the existing link between rhinosinusitis and asthma focusing on the pediatric age.

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The Nose and the Lung: United Airway Disease?

Cited by 105 publications

References 45 publications

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNA

Identification of surrogate prognostic biomarkers for allergic asthma in nasal epithelial brushing samples by WGCNA

What are the effects of rhinitis on patients with asthma?

Rhinosinutis and Asthma in Children

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