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A closed-loop model of the respiratory system: Focus on hypercapnia and active expiration

Molkov, YI and Shevtsova, NA and Park, C and Ben-Tal, A and Smith, JC and Rubin, JE and Rybak, IA (2014) A closed-loop model of the respiratory system: Focus on hypercapnia and active expiration. PLoS ONE, 9 (10).

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Abstract

© 2014, Public Library of Science. All rights reserved. Breathing is a vital process providing the exchange of gases between the lungs and atmosphere. During quiet breathing, pumping air from the lungs is mostly performed by contraction of the diaphragm during inspiration, and muscle contraction during expiration does not play a significant role in ventilation. In contrast, during intense exercise or severe hypercapnia forced or active expiration occurs in which the abdominal "expiratory" muscles become actively involved in breathing. The mechanisms of this transition remain unknown. To study these mechanisms, we developed a computational model of the closed-loop respiratory system that describes the brainstem respiratory network controlling the pulmonary subsystem representing lung biomechanics and gas (O2and CO2) exchange and transport. The lung subsystem provides two types of feedback to the neural subsystem: a mechanical one from pulmonary stretch receptors and a chemical one from central chemoreceptors. The neural component of the model simulates the respiratory network that includes several interacting respiratory neuron types within the Bötzinger and pre-Bötzinger complexes, as well as the retrotrapezoid nucleus/parafacial respiratory group (RTN/pFRG) representing the central chemoreception module targeted by chemical feedback. The RTN/pFRG compartment contains an independent neural generator that is activated at an increased CO2level and controls the abdominal motor output. The lung volume is controlled by two pumps, a major one driven by the diaphragm and an additional one activated by abdominal muscles and involved in active expiration. The model represents the first attempt to model the transition from quiet breathing to breathing with active expiration. The model suggests that the closed-loop respiratory control system switches to active expiration via a quantal acceleration of expiratory activity, when increases in breathing rate and phrenic amplitude no longer provide sufficient ventilation. The model can be used for simulation of closed-loop control of breathing under different conditions including respiratory disorders.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Molkov, YI
Shevtsova, NA
Park, C
Ben-Tal, A
Smith, JC
Rubin, JEjonrubin@pitt.eduJONRUBIN
Rybak, IA
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorKoval, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 10 October 2014
Date Type: Publication
Journal or Publication Title: PLoS ONE
Volume: 9
Number: 10
DOI or Unique Handle: 10.1371/journal.pone.0109894
Schools and Programs: Dietrich School of Arts and Sciences > Mathematics
Refereed: Yes
Other ID: NLM PMC4193835
PubMed Central ID: PMC4193835
PubMed ID: 25302708
Date Deposited: 12 May 2015 18:03
Last Modified: 02 Feb 2019 15:59
URI: http://d-scholarship.pitt.edu/id/eprint/24031

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