Literature DB >> 33021211

Investigating the relationship between breath aerosol size and exhaled breath condensate (EBC) metabolomic content.

Alexander J Schmidt1, Eva Borras1, Nicholas J Kenyon2,3,4, Cristina E Davis1,3.   

Abstract

Exhaled breath aerosols contain valuable metabolomic content due to gas exchange with blood at the alveolar capillary interface in the lung. Passive and selective filtering of these aerosols and droplets may reduce the amount of saliva contaminants and serve as an aid to enhance targeted metabolomic content when sampled in exhaled breath condensate (EBC). It is currently unknown if breath aerosol size distribution affects the types or abundances of metabolites sampled through EBC. This pilot study uses a previously described hand-held human breath sampler device with varying notch filter geometries to redirect the trajectory of breath aerosols based on size. Ten notch filter lengths were simulated with the device to calculate the effect of filter length on the breath aerosol size distribution and the proportion of aerosols which make their way through to an EBC collection tube. From three notch filter lengths, we investigate metabolite content of various aerosol fractions. We analyzed the non-volatile fraction of breath condensate with high performance liquid chromatography-mass spectrometry for broad metabolite coverage. We hypothesize that: (1) increasing the length of the notch filter in this device will prevent larger aerosols from reaching the collection tube thus altering the breath aerosol size distribution sampled in EBC; and (2) there is not a systematic large-scale difference in EBC metabolomic content that correlates with breath aerosol size. From simulation results, particles typically larger than 10 µm were filtered out. This indicates that a longer notch filter in this device prevents larger particles from reaching the collection tube thus altering the aerosol particle size distribution. Most compounds were commonly present in all three filter lengths tested, and we did not see strong statistical evidence of systematic metabolite differences between breath aerosol size distributions.

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Year:  2020        PMID: 33021211      PMCID: PMC7880424          DOI: 10.1088/1752-7163/abb764

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


  24 in total

1.  Breathing pattern associated with respiratory comfort during automatic tube compensation and pressure support ventilation in normal subjects.

Authors:  G Mols; E Rohr; A Benzing; C Haberthür; K Geiger; J Guttmann
Journal:  Acta Anaesthesiol Scand       Date:  2000-03       Impact factor: 2.105

2.  Exhaled breath condensate: methodological recommendations and unresolved questions.

Authors:  I Horváth; J Hunt; P J Barnes; K Alving; A Antczak; E Baraldi; G Becher; W J C van Beurden; M Corradi; R Dekhuijzen; R A Dweik; T Dwyer; R Effros; S Erzurum; B Gaston; C Gessner; A Greening; L P Ho; J Hohlfeld; Q Jöbsis; D Laskowski; S Loukides; D Marlin; P Montuschi; A C Olin; A E Redington; P Reinhold; E L J van Rensen; I Rubinstein; P Silkoff; K Toren; G Vass; C Vogelberg; H Wirtz
Journal:  Eur Respir J       Date:  2005-09       Impact factor: 16.671

3.  Human breath metabolomics using an optimized non-invasive exhaled breath condensate sampler.

Authors:  Konstantin O Zamuruyev; Alexander A Aksenov; Alberto Pasamontes; Joshua F Brown; Dayna R Pettit; Soraya Foutouhi; Bart C Weimer; Michael Schivo; Nicholas J Kenyon; Jean-Pierre Delplanque; Cristina E Davis
Journal:  J Breath Res       Date:  2016-12-22       Impact factor: 3.262

4.  Exhaled breath aerosol (EBA): the simplest non-invasive medium for public health and occupational exposure biomonitoring.

Authors:  Joachim D Pleil; M Ariel Geer Wallace; Michael C Madden
Journal:  J Breath Res       Date:  2018-02-06       Impact factor: 3.262

5.  Characterization of exhaled breath particles collected by an electret filter technique.

Authors:  Åsa Danielsson Tinglev; Shahid Ullah; Göran Ljungkvist; Emilia Viklund; Anna-Carin Olin; Olof Beck
Journal:  J Breath Res       Date:  2016-03-17       Impact factor: 3.262

6.  Origin of exhaled breath particles from healthy and human rhinovirus-infected subjects.

Authors:  Patricia Fabian; Joseph Brain; E Andres Houseman; James Gern; Donald K Milton
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2011-03-01       Impact factor: 2.849

7.  Inhaling to mitigate exhaled bioaerosols.

Authors:  David A Edwards; Jonathan C Man; Peter Brand; Jeffrey P Katstra; K Sommerer; Howard A Stone; Edward Nardell; Gerhard Scheuch
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-06       Impact factor: 11.205

8.  The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission.

Authors:  Valentyn Stadnytskyi; Christina E Bax; Adriaan Bax; Philip Anfinrud
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-13       Impact factor: 11.205

9.  Airflow dynamics of human jets: sneezing and breathing - potential sources of infectious aerosols.

Authors:  Julian W Tang; Andre D Nicolle; Christian A Klettner; Jovan Pantelic; Liangde Wang; Amin Bin Suhaimi; Ashlynn Y L Tan; Garrett W X Ong; Ruikun Su; Chandra Sekhar; David D W Cheong; Kwok Wai Tham
Journal:  PLoS One       Date:  2013-04-01       Impact factor: 3.240

10.  The scientific rationale for the use of simple masks or improvised facial coverings to trap exhaled aerosols and possibly reduce the breathborne spread of COVID-19.

Authors:  Joachim D Pleil; Jonathan D Beauchamp; Terence H Risby; Raed A Dweik
Journal:  J Breath Res       Date:  2020-04-30       Impact factor: 3.262

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