title: The role of the autonomic nervous system in hypertension: a bond graph model study.
abstract: A bond graph model of the cardiovascular system with embedded autonomic nervous regulation was developed for a better understanding of the role of the autonomic nervous system (ANS) in hypertension. The model is described by a pump model of the heart and a detailed representation of the head and neck, pulmonary, coronary, abdomen and extremity circulation. It responds to sympathetic and parasympathetic activities by modifying systemic peripheral vascular resistance, heart rate, ventricular end-systolic elastance and venous unstressed volumes. The impairment of ANS is represented by an elevation of the baroreflex set point. The simulation results show that, compared with normotensive, in hypertension the systolic and diastolic blood pressure (SBP/DBP) rose from 112/77 mmHg to 144/94 mmHg and the left ventricular wall thickness (LVWT) increased from 10 mm to 12.74 mm. In the case that ANS regulation was absent, both the SBP and DBP further increased by 8 mmHg and the LVWT increased to 13.22 mm. The results also demonstrate that when ANS regulation is not severely damaged, e.g. the baroreflex set point is 97 mmHg, it still has an effect in preventing the rapid rise of blood pressure in hypertension; however, with the worsening of ANS regulation, its protective role weakens. The results agree with human physiological and pathological features in hemodynamic parameters and carotid baroreflex function curves, and indicate the role of ANS in blood pressure regulation and heart protection. In conclusion, the present model may provide a valid approach to study the pathophysiological conditions of the cardiovascular system and the mechanism of ANS regulation.
authors.affiliation: Department of Biomedical Engineering, Zhejiang University (Yuquan Campus), Zheda Road 38, 310027 Hangzhou, People's Republic of China.
authors.forename: Shuzhen
authors.initials: S
authors.lastname: Chen
authors.forename: Shaowen
authors.initials: S
authors.lastname: Zhang
authors.forename: Yuexian
authors.initials: Y
authors.lastname: Gong
authors.forename: Kaiyong
authors.initials: K
authors.lastname: Dai
authors.forename: Meirong
authors.initials: M
authors.lastname: Sui
authors.forename: Yi
authors.initials: Y
authors.lastname: Yu
authors.forename: Gangmin
authors.initials: G
authors.lastname: Ning
mesh_terms: D000465:Algorithms; D001341:Autonomic Nervous System / Q000503:physiopathology*; D017704:Baroreflex / Q000502:physiology; D003326:Coronary Circulation / Q000502:physiology; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D006973:Hypertension / Q000503:physiopathology*; D015233:Models, Statistical; D009434:Neural Pathways / Q000502:physiology; D010101:Oxygen Consumption / Q000502:physiology; D012039:Regional Blood Flow / Q000502:physiology; D013318:Stroke Volume / Q000502:physiology; D014630:Vagus Nerve / Q000502:physiology; D014655:Vascular Resistance / Q000502:physiology; D016277:Ventricular Function, Left / Q000502:physiology