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Testing Computer Models Predicting Human Responses to a High-Salt Diet
Theodore W Kurtz1, Stephen E DiCarlo2, Michal Pravenec3
1From the Department of Laboratory Medicine (T.W.K.), School of Medicine, University of California, San Francisco.
Hypertension (Dallas, Tex. : 1979)
|December 21, 2018
Summary
Mathematical models based on Guyton
Area of Science:
- Human integrative physiology
- Cardiovascular modeling
- Hypertension research
Background:
- Guyton's 1972 model of circulation is foundational for investigating salt sensitivity.
- Mathematical models are used to explore mechanisms of salt-induced hypertension.
Purpose of the Study:
- Validate two advanced Guyton model derivatives (Quantitative Cardiovascular Physiology-2005 and HumMod-3.0.4).
- Assess model accuracy in predicting normal physiological responses to increased salt intake.
Main Methods:
- Performed validation testing on Quantitative Cardiovascular Physiology-2005 and HumMod-3.0.4.
- Compared model predictions against known physiological responses in humans to salt loading.
Main Results:
- Neither the original Guyton model nor its derivatives accurately predict sodium balance, cardiac output, or systemic vascular resistance changes with realistic salt intake.
- Significant inconsistencies exist between the contemporary models regarding sodium balance and hemodynamic responses.
- The models demonstrate limitations in representing normal salt-resistant human responses to salt loading.
Conclusions:
- Current Guyton-derived models have significant limitations in explaining normal salt balance and hemodynamic regulation.
- These findings raise concerns about using these models to interpret studies on salt sensitivity.
- There is a need for developing alternative models with different mechanistic concepts for blood pressure regulation.
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