Understanding the contribution of Guyton's large circulatory model to long‐term control of arterial pressure
Open accessAbstract
With the publication in 1972 of a large computer model of circulatory control, Guyton and colleagues challenged the then prevailing views on how blood pressure and cardiac output were controlled. At that time, it was widely accepted that the heart controlled cardiac output and that peripheral resistance controlled arterial blood pressure. By incorporating the empirically demonstrated concepts of blood flow autoregulation and the pressure–natriuresis relationship into their mathematical model, Guyton and colleagues were able to develop a number of revolutionary concepts. Guyton's circulatory model was particularly instrumental in exploring the linkage between blood pressure and sodium balance and in demonstrating an overriding importance of renal salt and water balance in setting the long‐term blood pressure level. In both the model and experimental data, any long‐lasting imbalance between salt intake and salt excretion leads to a progressive alteration of the degree of filling of the vascular system and thus to parallel changes in blood pressure. In turn, changes in blood pressure alter sodium excretion, opposing the initial salt imbalance. Although Guyton's model does not include the most recent cardiovascular discoveries, the concepts underlying the basic functioning of the cardiovascular system can serve as a well‐built basis for the development of new, large and integrative cardiovascular models.
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The Guyton model's application for research purposes is difficult due to model complexity, lack of complete detailed description, physiological limitations for some parameters, and some misconceptions.
“However, its application for research purposes is difficult due to the model complexity, the lack of a complete detailed description, physiological limitations for some parameters, and some misconceptions (Montani and Vliet, 2009).”
From Thoroughly Calibrated Modular Agent-Based Model of the Human Cardiovascular and Renal Systems for Blood Pressure Regulation in Health and Disease (2021) · cites this paper as Montani and Vliet, 2009
In “Some common misconceptions in understanding Guyton’s model” (page not provided), the paper says the model’s complexity has led to misconceptions. The editorial comment (page not provided) also identifies inaccessible code as an obstacle to modelling research. The passages do not establish a lack of a complete detailed description or physiological limitations of specific parameters; the editorial comment says a detailed description was published in 1972. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMontani and Van Vliet identified the pressure-natriuresis relationship and blood flow autoregulation as central features of the 1972 Guyton model that continued as core concepts during its evolution.
“Specifically, Montani and Van Vliet noted that the “pressure-natriuresis relationship” and “blood flow autoregulation” are main features of the 1972 Guyton model that “remained as core concepts” as the model evolved.9”
From Testing Computer Models Predicting Human Responses to a High-Salt Diet: Implications for Understanding Mechanisms of Salt-Sensitive Hypertension (2018) · cites this paper as [9]
According to Montani and Van Vliet, the Guyton model's core and basic concepts remained unchanged as it evolved into more elaborate versions.
“According to a 2009 publication by Montani and Van Vliet, as the Guyton model evolved into more elaborate versions over the years, “the core of the model and the basic concepts remained untouched.”9”
From Testing Computer Models Predicting Human Responses to a High-Salt Diet: Implications for Understanding Mechanisms of Salt-Sensitive Hypertension (2018) · cites this paper as [9]
Montani and Van Vliet stated that Guyton considered a model's most helpful contribution to be when it failed to correctly predict an empirical outcome, because that revealed a limitation in understanding.
“In a discussion of the relevance of the 1972 Guyton model to modern cardiovascular physiology, Montani and Van Vliet state that “As Guyton pointed out, the most helpful contribution of the model is when it failed to correctly predict an empirical outcome, since that clearly indicated a limitation in our understanding of the system.”9”
From Testing Computer Models Predicting Human Responses to a High-Salt Diet: Implications for Understanding Mechanisms of Salt-Sensitive Hypertension (2018) · cites this paper as [9]
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- Authors
- Montani, J., & Van Vliet, B. N.
- Affiliations
- University of Fribourg (CH)
- Venue
- Experimental Physiology
- Publisher
- Wiley
- Published
- 2009-03-12
- Volume
- 94
- Issue
- 4
- Pages
- 382-388
- ISSN
- 0958-0670 (ISSN-L)
- 1469-445X
- OpenAlex
- W1894009041
- Cited by
- 100
- References
- 61
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 8 · 2020: 5 · 2019: 2 · 2018: 5 · 2017: 7 · 2016: 4 · 2015: 8 · 2014: 10 · 2013: 9 · 2012: 8
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- public-domain
- onlinelibrary.wiley.com/termsAndConditions#vor (vor)
- Locations
- Experimental Physiology (publishedVersion, public-domain)
- PubMed (publishedVersion)
- reroDoc Digital Library (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- blood pressure homeostasis, autoregulation of blood flow, sodium balance, cardiac output control, systemic vascular resistance, vascular filling
- MeSH terms
- Animals, Arteries, Blood Pressure, Blood Volume, Cardiac Output, Computer Simulation, Homeostasis, Humans, Hypertension, Kidney, Models, Cardiovascular, Natriuresis, Sympathetic Nervous System, Reproducibility of Results
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