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Strategies for measuring airway mucus and mucins

Mucus secretion and mucociliary transport are essential defense mechanisms of the airways. Deviations in mucus composition and secretion can impede mucociliary transport and elicit airway obstruction. As such, mucus abnormalities are hallmark features of many respiratory diseases, including asthma,...

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Autores principales: Atanasova, Kalina R., Reznikov, Leah R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873701/
https://www.ncbi.nlm.nih.gov/pubmed/31752894
http://dx.doi.org/10.1186/s12931-019-1239-z
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author Atanasova, Kalina R.
Reznikov, Leah R.
author_facet Atanasova, Kalina R.
Reznikov, Leah R.
author_sort Atanasova, Kalina R.
collection PubMed
description Mucus secretion and mucociliary transport are essential defense mechanisms of the airways. Deviations in mucus composition and secretion can impede mucociliary transport and elicit airway obstruction. As such, mucus abnormalities are hallmark features of many respiratory diseases, including asthma, cystic fibrosis and chronic obstructive pulmonary disease (COPD). Studying mucus composition and its physical properties has therefore been of significant interest both clinically and scientifically. Yet, measuring mucus production, output, composition and transport presents several challenges. Here we summarize and discuss the advantages and limitations of several techniques from five broadly characterized strategies used to measure mucus secretion, composition and mucociliary transport, with an emphasis on the gel-forming mucins. Further, we summarize advances in the field, as well as suggest potential areas of improvement moving forward.
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spelling pubmed-68737012019-11-25 Strategies for measuring airway mucus and mucins Atanasova, Kalina R. Reznikov, Leah R. Respir Res Review Mucus secretion and mucociliary transport are essential defense mechanisms of the airways. Deviations in mucus composition and secretion can impede mucociliary transport and elicit airway obstruction. As such, mucus abnormalities are hallmark features of many respiratory diseases, including asthma, cystic fibrosis and chronic obstructive pulmonary disease (COPD). Studying mucus composition and its physical properties has therefore been of significant interest both clinically and scientifically. Yet, measuring mucus production, output, composition and transport presents several challenges. Here we summarize and discuss the advantages and limitations of several techniques from five broadly characterized strategies used to measure mucus secretion, composition and mucociliary transport, with an emphasis on the gel-forming mucins. Further, we summarize advances in the field, as well as suggest potential areas of improvement moving forward. BioMed Central 2019-11-21 2019 /pmc/articles/PMC6873701/ /pubmed/31752894 http://dx.doi.org/10.1186/s12931-019-1239-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Atanasova, Kalina R.
Reznikov, Leah R.
Strategies for measuring airway mucus and mucins
title Strategies for measuring airway mucus and mucins
title_full Strategies for measuring airway mucus and mucins
title_fullStr Strategies for measuring airway mucus and mucins
title_full_unstemmed Strategies for measuring airway mucus and mucins
title_short Strategies for measuring airway mucus and mucins
title_sort strategies for measuring airway mucus and mucins
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873701/
https://www.ncbi.nlm.nih.gov/pubmed/31752894
http://dx.doi.org/10.1186/s12931-019-1239-z
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