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Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide
Exhaled breath carbon monoxide (eCO) is a candidate biomarker for non-invasive assessment of oxidative stress and respiratory diseases. Standard end-tidal CO analysis, however, cannot distinguish, whether eCO reflects endogenous CO production, lung diffusion properties or exogenous sources, and is u...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077244/ https://www.ncbi.nlm.nih.gov/pubmed/30104980 http://dx.doi.org/10.3389/fphys.2018.00927 |
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author | Ghorbani, Ramin Blomberg, Anders Schmidt, Florian M. |
author_facet | Ghorbani, Ramin Blomberg, Anders Schmidt, Florian M. |
author_sort | Ghorbani, Ramin |
collection | PubMed |
description | Exhaled breath carbon monoxide (eCO) is a candidate biomarker for non-invasive assessment of oxidative stress and respiratory diseases. Standard end-tidal CO analysis, however, cannot distinguish, whether eCO reflects endogenous CO production, lung diffusion properties or exogenous sources, and is unable to resolve a potential airway contribution. Coupling real-time breath gas analysis to pulmonary gas exchange modeling holds promise to improve the diagnostic value of eCO. A trumpet model with axial diffusion (TMAD) is used to simulate the dynamics of CO gas exchange in the respiratory system and corresponding eCO concentrations for the first time. The mass balance equation is numerically solved employing a computationally inexpensive routine implementing the method of lines, which provides the distribution of CO in the respiratory tract during inhalation, breath-holding, and exhalation with 1 mm spatial and 0.01 s temporal resolution. Initial estimates of the main TMAD parameters, the maximum CO fluxes and diffusing capacities in alveoli and airways, are obtained using healthy population tissue, blood and anatomical data. To verify the model, mouth-exhaled expirograms from two healthy subjects, measured with a novel, home-built laser-based CO sensor, are compared to single-exhalation profiles simulated using actual breath sampling data, such as exhalation flow rate (EFR) and volume. A very good agreement is obtained in exhalation phases I and III for EFRs between 55 and 220 ml/s and after 10 and 20 s of breath-holding, yielding a unique set of TMAD parameters. The results confirm the recently observed EFR dependence of CO expirograms and suggest that measured end-tidal eCO is always lower than alveolar and capillary CO. Breath-holding allows the observation of close-to-alveolar CO concentrations and increases the sensitivity to the airway TMAD parameters in exhalation phase I. A parametric simulation study shows that a small increase in airway flux can be distinguished from an increase in alveolar flux, and that slight changes in alveolar flux and diffusing capacity have a significantly different effect on phase III of the eCO profiles. |
format | Online Article Text |
id | pubmed-6077244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60772442018-08-13 Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide Ghorbani, Ramin Blomberg, Anders Schmidt, Florian M. Front Physiol Physiology Exhaled breath carbon monoxide (eCO) is a candidate biomarker for non-invasive assessment of oxidative stress and respiratory diseases. Standard end-tidal CO analysis, however, cannot distinguish, whether eCO reflects endogenous CO production, lung diffusion properties or exogenous sources, and is unable to resolve a potential airway contribution. Coupling real-time breath gas analysis to pulmonary gas exchange modeling holds promise to improve the diagnostic value of eCO. A trumpet model with axial diffusion (TMAD) is used to simulate the dynamics of CO gas exchange in the respiratory system and corresponding eCO concentrations for the first time. The mass balance equation is numerically solved employing a computationally inexpensive routine implementing the method of lines, which provides the distribution of CO in the respiratory tract during inhalation, breath-holding, and exhalation with 1 mm spatial and 0.01 s temporal resolution. Initial estimates of the main TMAD parameters, the maximum CO fluxes and diffusing capacities in alveoli and airways, are obtained using healthy population tissue, blood and anatomical data. To verify the model, mouth-exhaled expirograms from two healthy subjects, measured with a novel, home-built laser-based CO sensor, are compared to single-exhalation profiles simulated using actual breath sampling data, such as exhalation flow rate (EFR) and volume. A very good agreement is obtained in exhalation phases I and III for EFRs between 55 and 220 ml/s and after 10 and 20 s of breath-holding, yielding a unique set of TMAD parameters. The results confirm the recently observed EFR dependence of CO expirograms and suggest that measured end-tidal eCO is always lower than alveolar and capillary CO. Breath-holding allows the observation of close-to-alveolar CO concentrations and increases the sensitivity to the airway TMAD parameters in exhalation phase I. A parametric simulation study shows that a small increase in airway flux can be distinguished from an increase in alveolar flux, and that slight changes in alveolar flux and diffusing capacity have a significantly different effect on phase III of the eCO profiles. Frontiers Media S.A. 2018-07-30 /pmc/articles/PMC6077244/ /pubmed/30104980 http://dx.doi.org/10.3389/fphys.2018.00927 Text en Copyright © 2018 Ghorbani, Blomberg and Schmidt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Ghorbani, Ramin Blomberg, Anders Schmidt, Florian M. Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title | Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title_full | Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title_fullStr | Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title_full_unstemmed | Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title_short | Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide |
title_sort | modeling pulmonary gas exchange and single-exhalation profiles of carbon monoxide |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6077244/ https://www.ncbi.nlm.nih.gov/pubmed/30104980 http://dx.doi.org/10.3389/fphys.2018.00927 |
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