Literature DB >> 30910637

CT and Functional MRI to Evaluate Airway Mucus in Severe Asthma.

Sarah Svenningsen1, Ehsan Haider2, Colm Boylan2, Manali Mukherjee3, Rachel L Eddy4, Dante P I Capaldi4, Grace Parraga4, Parameswaran Nair3.   

Abstract

BACKGROUND: Intraluminal contributor(s) to airflow obstruction in severe asthma are patient-specific and must be evaluated to personalize treatment. The occurrence and functional consequence of airway mucus in the presence or absence of airway eosinophils remain undetermined.
OBJECTIVE: The objective of this study was to understand the functional consequence of airway mucus in the presence or absence of eosinophils and to identify biomarkers of mucus-related airflow obstruction.
METHODS: Mucus plugs were quantified on CT scans, and their contribution to ventilation heterogeneity (using MRI ventilation defect percent [VDP]) was evaluated in 27 patients with severe asthma. Patients were dichotomized based on sputum eosinophilia such that the relationship between mucus, eosinophilia, and ventilation heterogeneity could be investigated. Fractional exhaled nitric oxide (Feno) and related cytokines in sputum were measured.
RESULTS: Mucus plugging was present in 100% of asthma patients with sputum eosinophils and 36% of those without sputum eosinophils (P = .0006) and was correlated with MRI VDP prebronchodilator (r = 0.68; P = .0001) and postbronchodilator (r = 0.72; P < .0001). In a multivariable regression, both mucus and eosinophils contributed to the prediction of postbronchodilator MRI VDP (R2 = 0.75; P < .0001). Patients with asthma in whom the mucus score was high had raised Feno (P = .03) and IL-4 (P = .02) values. Mucus plugging correlated with Feno (r = 0.63; P = .005).
CONCLUSIONS: Both airway eosinophils and mucus can contribute to ventilation heterogeneity in patients with severe asthma. Patients in whom mucus is the dominant cause of airway obstruction have evidence of an upregulated IL-4/IL-13 pathway that could be identified according to increased Feno level.
Copyright © 2019 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT scan; MRI; mucus plugs; severe asthma; sputum eosinophils

Mesh:

Substances:

Year:  2019        PMID: 30910637     DOI: 10.1016/j.chest.2019.02.403

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  18 in total

1.  Lung parenchymal and airway changes on CT imaging following allergen challenge and bronchoalveolar lavage in atopic and asthmatic subjects.

Authors:  Dexter P Mendoza; Puja Kohli; John W Nance; Ramandeep Singh; Josalyn Cho; Jason Griffith; R Scott Harris; Vanessa J Kelly; Andrew D Luster; Benjamin Medoff; Subba R Digumarthy
Journal:  Ann Transl Med       Date:  2020-07

2.  Mucus Plugs in Asthma at CT Associated with Regional Ventilation Defects at 3He MRI.

Authors:  David G Mummy; Eleanor M Dunican; Katherine J Carey; Michael D Evans; Brett M Elicker; John D Newell; David S Gierada; Scott K Nagle; Mark L Schiebler; Ronald L Sorkness; Nizar N Jarjour; Loren C Denlinger; John V Fahy; Sean B Fain
Journal:  Radiology       Date:  2021-12-21       Impact factor: 29.146

3.  Ventilation defects on hyperpolarized helium-3 MRI in asthma are predictive of 2-year exacerbation frequency.

Authors:  David G Mummy; Katherine J Carey; Michael D Evans; Loren C Denlinger; Mark L Schiebler; Ronald L Sorkness; Nizar N Jarjour; Sean B Fain
Journal:  J Allergy Clin Immunol       Date:  2020-03-13       Impact factor: 10.793

4.  Illuminating Lung Inflammation at the Alveolar Capillary Interface.

Authors:  David Mummy; Bastiaan Driehuys
Journal:  J Magn Reson Imaging       Date:  2020-02-12       Impact factor: 4.813

5.  Luminal Plugging on Chest CT Scan: Association With Lung Function, Quality of Life, and COPD Clinical Phenotypes.

Authors:  Yuka Okajima; Carolyn E Come; Pietro Nardelli; Sushil K Sonavane; Andrew Yen; Hrudaya P Nath; Nina Terry; Scott A Grumley; Asmaa Ahmed; Seth Kligerman; Kathleen Jacobs; David A Lynch; Barry J Make; Edwin K Silverman; George R Washko; Raúl San José Estépar; Alejandro A Diaz
Journal:  Chest       Date:  2020-02-01       Impact factor: 9.410

6.  Mucociliary Clearance Differs in Mild Asthma by Levels of Type 2 Inflammation.

Authors:  Timothy E Corcoran; Alex S Huber; Sherri L Hill; Landon W Locke; Lawrence Weber; Ashok Muthukrishnan; Elisa M Heidrich; Sally Wenzel; Mike M Myerburg
Journal:  Chest       Date:  2021-05-21       Impact factor: 9.410

7.  Mucins and Asthma: Are We Headed to the Revolutionary Road?

Authors:  Pierachille Santus; Dejan Radovanovic; Davide Alberto Chiumello
Journal:  J Clin Med       Date:  2019-11-13       Impact factor: 4.241

Review 8.  In vivo methods and applications of xenon-129 magnetic resonance.

Authors:  Helen Marshall; Neil J Stewart; Ho-Fung Chan; Madhwesha Rao; Graham Norquay; Jim M Wild
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2020-12-09       Impact factor: 9.795

9.  Measures of ventilation heterogeneity mapped with hyperpolarized helium-3 MRI demonstrate a T2-high phenotype in asthma.

Authors:  W Gerald Teague; Jaime Mata; Kun Qing; Nicholas J Tustison; John P Mugler; Craig H Meyer; Eduard E de Lange; Yun M Shim; Kristin Wavell; Talissa A Altes
Journal:  Pediatr Pulmonol       Date:  2021-02-23

10.  Deep learning model to predict the need for mechanical ventilation using chest X-ray images in hospitalised patients with COVID-19.

Authors:  Anoop R Kulkarni; Ambarish M Athavale; Ashima Sahni; Shashvat Sukhal; Abhimanyu Saini; Mathew Itteera; Sara Zhukovsky; Jane Vernik; Mohan Abraham; Amit Joshi; Amatur Amarah; Juan Ruiz; Peter D Hart; Hemant Kulkarni
Journal:  BMJ Innov       Date:  2021-03-02
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