The Experts below are selected from a list of 9 Experts worldwide ranked by ideXlab platform
James B. Bassingthwaighte - One of the best experts on this subject based on the ideXlab platform.
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Simple accurate mathematical models of blood HbO_2 and HbCO_2 dissociation curves at varied physiological conditions: evaluation and comparison with other models
European Journal of Applied Physiology, 2016Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO_2) and Carbaminohemoglobin (HbCO_2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O_2–CO_2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data. Methods and results To this end, we have revisited, simplified, and extended our previous models of blood HbO_2 and HbCO_2 dissociation curves (Dash and Bassingthwaighte, Ann Biomed Eng 38:1683–1701, 2010 ), validated wherever possible by available experimental data, so that the models now accurately fit the low HbO_2 saturation ( $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 ) range over a wide range of values of $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 , pH, 2,3-DPG, and temperature. Our new equations incorporate a novel $$P_{{{\text{O}}_{ 2} }}$$ P O 2 -dependent variable cooperativity hypothesis for the binding of O_2 to Hb, and a new equation for P _50 of O_2 that provides accurate shifts in the HbO_2 and HbCO_2 dissociation curves over a wide range of physiological conditions. The accuracy and efficiency of these equations in computing $$P_{{{\text{O}}_{ 2} }}$$ P O 2 and $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 from the $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 levels using simple iterative numerical schemes that give rapid convergence is a significant advantage over alternative $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models. Conclusion The new $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models have significant computational modeling implications as they provide high accuracy under non-physiological conditions, such as ischemia and reperfusion, extremes in gas concentrations, high altitudes, and extreme temperatures.
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Simple accurate mathematical models of blood HbO2 and HbCO2 dissociation curves at varied physiological conditions: evaluation and comparison with other models.
European Journal of Applied Physiology, 2015Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO2) and Carbaminohemoglobin (HbCO2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O2–CO2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data.
Ranjan K. Dash - One of the best experts on this subject based on the ideXlab platform.
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Simple accurate mathematical models of blood HbO_2 and HbCO_2 dissociation curves at varied physiological conditions: evaluation and comparison with other models
European Journal of Applied Physiology, 2016Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO_2) and Carbaminohemoglobin (HbCO_2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O_2–CO_2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data. Methods and results To this end, we have revisited, simplified, and extended our previous models of blood HbO_2 and HbCO_2 dissociation curves (Dash and Bassingthwaighte, Ann Biomed Eng 38:1683–1701, 2010 ), validated wherever possible by available experimental data, so that the models now accurately fit the low HbO_2 saturation ( $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 ) range over a wide range of values of $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 , pH, 2,3-DPG, and temperature. Our new equations incorporate a novel $$P_{{{\text{O}}_{ 2} }}$$ P O 2 -dependent variable cooperativity hypothesis for the binding of O_2 to Hb, and a new equation for P _50 of O_2 that provides accurate shifts in the HbO_2 and HbCO_2 dissociation curves over a wide range of physiological conditions. The accuracy and efficiency of these equations in computing $$P_{{{\text{O}}_{ 2} }}$$ P O 2 and $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 from the $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 levels using simple iterative numerical schemes that give rapid convergence is a significant advantage over alternative $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models. Conclusion The new $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models have significant computational modeling implications as they provide high accuracy under non-physiological conditions, such as ischemia and reperfusion, extremes in gas concentrations, high altitudes, and extreme temperatures.
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Simple accurate mathematical models of blood HbO2 and HbCO2 dissociation curves at varied physiological conditions: evaluation and comparison with other models.
European Journal of Applied Physiology, 2015Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO2) and Carbaminohemoglobin (HbCO2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O2–CO2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data.
Ben Korman - One of the best experts on this subject based on the ideXlab platform.
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Simple accurate mathematical models of blood HbO_2 and HbCO_2 dissociation curves at varied physiological conditions: evaluation and comparison with other models
European Journal of Applied Physiology, 2016Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO_2) and Carbaminohemoglobin (HbCO_2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O_2–CO_2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data. Methods and results To this end, we have revisited, simplified, and extended our previous models of blood HbO_2 and HbCO_2 dissociation curves (Dash and Bassingthwaighte, Ann Biomed Eng 38:1683–1701, 2010 ), validated wherever possible by available experimental data, so that the models now accurately fit the low HbO_2 saturation ( $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 ) range over a wide range of values of $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 , pH, 2,3-DPG, and temperature. Our new equations incorporate a novel $$P_{{{\text{O}}_{ 2} }}$$ P O 2 -dependent variable cooperativity hypothesis for the binding of O_2 to Hb, and a new equation for P _50 of O_2 that provides accurate shifts in the HbO_2 and HbCO_2 dissociation curves over a wide range of physiological conditions. The accuracy and efficiency of these equations in computing $$P_{{{\text{O}}_{ 2} }}$$ P O 2 and $$P_{{{\text{CO}}_{ 2} }}$$ P CO 2 from the $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 levels using simple iterative numerical schemes that give rapid convergence is a significant advantage over alternative $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models. Conclusion The new $$S_{{{\text{HbO}}_{ 2} }}$$ S HbO 2 and $$S_{{{\text{HbCO}}_{ 2} }}$$ S HbCO 2 models have significant computational modeling implications as they provide high accuracy under non-physiological conditions, such as ischemia and reperfusion, extremes in gas concentrations, high altitudes, and extreme temperatures.
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Simple accurate mathematical models of blood HbO2 and HbCO2 dissociation curves at varied physiological conditions: evaluation and comparison with other models.
European Journal of Applied Physiology, 2015Co-Authors: Ranjan K. Dash, Ben Korman, James B. BassingthwaighteAbstract:Purpose Equations for blood oxyhemoglobin (HbO2) and Carbaminohemoglobin (HbCO2) dissociation curves that incorporate nonlinear biochemical interactions of oxygen and carbon dioxide with hemoglobin (Hb), covering a wide range of physiological conditions, are crucial for a number of practical applications. These include the development of physiologically-based computational models of alveolar-blood and blood-tissue O2–CO2 transport, exchange, and metabolism, and the analysis of clinical and in vitro data.
Joseph Feher - One of the best experts on this subject based on the ideXlab platform.
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Oxygen and Carbon Dioxide Transport
Quantitative Human Physiology, 2020Co-Authors: Joseph FeherAbstract:The transport of O 2 as dissolved O 2 is small because the solubility of O 2 is small. Most O 2 is bound to hemoglobin. The oxygen saturation curve is shown, along with the Hill equation to fit the data to an equation. Oxygen binds to hemoglobin in the lungs, nearly saturating it, and desorbs in the tissue but only partially deoxygenating the blood. Oxygen delivery to the tissues is calculated as the cardiac output times the arteriovenous difference in total oxygen content of the blood. The oxygen consumption calculated from the respiratory rate times the difference in oxygen content of inspired and expired air match. The oxygen gradients to the tissues are discussed. Temperature, decreased pH, increased P CO 2 P CO 2 P CO 2 P CO 2 , and increased 2,3-diphosphoglycerate all shift the O 2 saturation curve to the right. CO 2 is carried as dissolved CO 2 (10%), HCO 3 − (85%), and as Carbaminohemoglobin (5%).