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

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 venti...

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Published in:PloS one Vol. 9; no. 10; p. e109894
Main Authors: Molkov, Yaroslav I, Shevtsova, Natalia A, Park, Choongseok, Ben-Tal, Alona, Smith, Jeffrey C, Rubin, Jonathan E, Rybak, Ilya A
Format: Journal Article
Language:English
Published: United States Public Library of Science 10-10-2014
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Abstract 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 (O2 and 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 CO2 level 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.
AbstractList 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 (O2 and 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 CO2 level 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.
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 (O 2 and CO 2 ) 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 CO 2 level 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.
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 (O 2 and CO 2 ) 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 CO 2 level 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.
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 (O.sub.2 and CO.sub.2) 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 CO.sub.2 level 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.
Audience Academic
Author Smith, Jeffrey C
Ben-Tal, Alona
Rybak, Ilya A
Rubin, Jonathan E
Molkov, Yaroslav I
Shevtsova, Natalia A
Park, Choongseok
AuthorAffiliation 5 Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
Emory University School of Medicine, United States of America
2 Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
3 Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
1 Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis, Indiana, United States of America
4 Institute of Information and Mathematical Sciences, Massey University, Albany, Auckland, New Zealand
AuthorAffiliation_xml – name: Emory University School of Medicine, United States of America
– name: 2 Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
– name: 3 Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
– name: 4 Institute of Information and Mathematical Sciences, Massey University, Albany, Auckland, New Zealand
– name: 5 Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
– name: 1 Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis, Indiana, United States of America
Author_xml – sequence: 1
  givenname: Yaroslav I
  surname: Molkov
  fullname: Molkov, Yaroslav I
  organization: Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis, Indiana, United States of America
– sequence: 2
  givenname: Natalia A
  surname: Shevtsova
  fullname: Shevtsova, Natalia A
  organization: Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
– sequence: 3
  givenname: Choongseok
  surname: Park
  fullname: Park, Choongseok
  organization: Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
– sequence: 4
  givenname: Alona
  surname: Ben-Tal
  fullname: Ben-Tal, Alona
  organization: Institute of Information and Mathematical Sciences, Massey University, Albany, Auckland, New Zealand
– sequence: 5
  givenname: Jeffrey C
  surname: Smith
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  organization: Cellular and Systems Neurobiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, United States of America
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  surname: Rubin
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  organization: Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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  givenname: Ilya A
  surname: Rybak
  fullname: Rybak, Ilya A
  organization: Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25302708$$D View this record in MEDLINE/PubMed
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– notice: 2014. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Contributed to the writing of the manuscript: IAR YIM JER. Conceived and designed the model: IAR YIM AB-T JER NAS JCS. Selected and adjusted model parameters: YIM AB-T NAS CP JCS IAR. Performed computer simulations: YIM NAS CP. Analyzed the results: IAR YIM JER JCS.
Current address: Department of Mathematics, North Carolina A&T State University, Greensboro, North Carolina, United States of America
Competing Interests: The authors have declared that no competing interests exist.
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Snippet 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...
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crossref
pubmed
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
StartPage e109894
SubjectTerms Abdomen
Active control
Analysis
Biology and Life Sciences
Biomechanics
Brain stem
Breathing
Carbon dioxide
Carbon dioxide exchange
Chemoreception (internal)
Chemoreceptors
Chemoreceptors (internal)
Closed loop systems
Computational neuroscience
Computer and Information Sciences
Computer simulation
Control systems
Controllers
Diaphragm
Diaphragm (anatomy)
Exhalation - physiology
Expiration
Feedback
Feedback, Physiological - physiology
Gases
Humans
Hypercapnia
Hypercapnia - physiopathology
Hypoxia
Lung - physiopathology
Lungs
Mathematics
Mechanical ventilation
Models, Biological
Muscle contraction
Muscles
Nervous system
Neurobiology
Neurons - physiology
Neurosciences
Pulmonary Gas Exchange - physiology
Receptors
Respiration
Respiratory Mechanics - physiology
Respiratory system
Respiratory System - physiopathology
Retrotrapezoid nucleus
Rhythm
Rodents
Stretch receptors
Switches
Ventilation
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Title A closed-loop model of the respiratory system: focus on hypercapnia and active expiration
URI https://www.ncbi.nlm.nih.gov/pubmed/25302708
https://www.proquest.com/docview/1610133704
https://search.proquest.com/docview/1612286241
https://pubmed.ncbi.nlm.nih.gov/PMC4193835
https://doaj.org/article/4ecf65fa2b9c489798fa7e5c54edd4ab
http://dx.doi.org/10.1371/journal.pone.0109894
Volume 9
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