Modeling essential hypertension with a closed-loop mathematical model for the entire human circulation.

Area of Science:

• Cardiovascular Physiology
• Mathematical Modeling
• Computational Biology

Background:

• Arterial hypertension is a significant global health issue, leading to millions of deaths annually.
• Despite existing treatments, adequate blood pressure control remains a challenge for many hypertensive patients.
• Computational models offer a novel approach to dissect the complex cardiovascular dynamics in hypertension.

Purpose of the Study:

• To develop and utilize a multi-scale mathematical model of the entire human circulation.
• To simulate a hypertensive scenario by introducing relevant alterations into the model.
• To investigate the systemic impact of hypertension across different cardiovascular compartments.

Main Methods:

• A global, closed-loop, multi-scale mathematical model of the human circulatory system was employed.
• The model was adapted to represent key cardiovascular changes associated with hypertension.
• Simulations focused on alterations in systemic arteries, heart, microcirculation, pulmonary circulation, and venous system.

Main Results:

• The adapted model successfully reproduced a hypertensive physiological state.
• Simulations demonstrated the interconnected effects of hypertension across the entire cardiovascular system.
• Model outputs were validated against established knowledge of hypertension's impact.

Conclusions:

• Mathematical modeling provides a valuable tool for understanding hypertension's complex pathophysiology.
• The study highlights how hypertension affects multiple components of the cardiovascular system, not just major arteries.
• This approach can aid in better quantifying the role of various cardiovascular factors in hypertension.