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Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study

Long-term exposure to intermittent hypoxia and sleep fragmentation introduced by recurring obstructive sleep apnea (OSA) has been linked to subsequent cardiovascular disease and Type 2 diabetes. The underlying mechanisms remain unclear, but impairment of the normal interactions among the systems tha...

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Autores principales: Cheng, Limei, Khoo, Michael C. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250672/
https://www.ncbi.nlm.nih.gov/pubmed/22291654
http://dx.doi.org/10.3389/fphys.2011.00111
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author Cheng, Limei
Khoo, Michael C. K.
author_facet Cheng, Limei
Khoo, Michael C. K.
author_sort Cheng, Limei
collection PubMed
description Long-term exposure to intermittent hypoxia and sleep fragmentation introduced by recurring obstructive sleep apnea (OSA) has been linked to subsequent cardiovascular disease and Type 2 diabetes. The underlying mechanisms remain unclear, but impairment of the normal interactions among the systems that regulate autonomic and metabolic function is likely involved. We have extended an existing integrative model of respiratory, cardiovascular, and sleep–wake state control, to incorporate a sub-model of glucose–insulin–fatty acid regulation. This computational model is capable of simulating the complex dynamics of cardiorespiratory control, chemoreflex and state-related control of breath-to-breath ventilation, state-related and chemoreflex control of upper airway potency, respiratory and circulatory mechanics, as well as the metabolic control of glucose–insulin dynamics and its interactions with the autonomic control. The interactions between autonomic and metabolic control include the circadian regulation of epinephrine secretion, epinephrine regulation on dynamic fluctuations in glucose and free-fatty acid in plasma, metabolic coupling among tissues and organs provided by insulin and epinephrine, as well as the effect of insulin on peripheral vascular sympathetic activity. These model simulations provide insight into the relative importance of the various mechanisms that determine the acute and chronic physiological effects of sleep-disordered breathing. The model can also be used to investigate the effects of a variety of interventions, such as different glucose clamps, the intravenous glucose tolerance test, and the application of continuous positive airway pressure on OSA subjects. As such, this model provides the foundation on which future efforts to simulate disease progression and the long-term effects of pharmacological intervention can be based.
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spelling pubmed-32506722012-01-30 Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study Cheng, Limei Khoo, Michael C. K. Front Physiol Physiology Long-term exposure to intermittent hypoxia and sleep fragmentation introduced by recurring obstructive sleep apnea (OSA) has been linked to subsequent cardiovascular disease and Type 2 diabetes. The underlying mechanisms remain unclear, but impairment of the normal interactions among the systems that regulate autonomic and metabolic function is likely involved. We have extended an existing integrative model of respiratory, cardiovascular, and sleep–wake state control, to incorporate a sub-model of glucose–insulin–fatty acid regulation. This computational model is capable of simulating the complex dynamics of cardiorespiratory control, chemoreflex and state-related control of breath-to-breath ventilation, state-related and chemoreflex control of upper airway potency, respiratory and circulatory mechanics, as well as the metabolic control of glucose–insulin dynamics and its interactions with the autonomic control. The interactions between autonomic and metabolic control include the circadian regulation of epinephrine secretion, epinephrine regulation on dynamic fluctuations in glucose and free-fatty acid in plasma, metabolic coupling among tissues and organs provided by insulin and epinephrine, as well as the effect of insulin on peripheral vascular sympathetic activity. These model simulations provide insight into the relative importance of the various mechanisms that determine the acute and chronic physiological effects of sleep-disordered breathing. The model can also be used to investigate the effects of a variety of interventions, such as different glucose clamps, the intravenous glucose tolerance test, and the application of continuous positive airway pressure on OSA subjects. As such, this model provides the foundation on which future efforts to simulate disease progression and the long-term effects of pharmacological intervention can be based. Frontiers Research Foundation 2012-01-04 /pmc/articles/PMC3250672/ /pubmed/22291654 http://dx.doi.org/10.3389/fphys.2011.00111 Text en Copyright © 2012 Cheng and Khoo. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Physiology
Cheng, Limei
Khoo, Michael C. K.
Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title_full Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title_fullStr Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title_full_unstemmed Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title_short Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study
title_sort modeling the autonomic and metabolic effects of obstructive sleep apnea: a simulation study
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250672/
https://www.ncbi.nlm.nih.gov/pubmed/22291654
http://dx.doi.org/10.3389/fphys.2011.00111
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