Human Homeostatic Control Matrix in Norm

• Main Authors: Alexander G. Kruglov, Valery N. Utkin, Alexander Yu. Vasilyev, Veronica A. Sherman
• Format: Article
• Language: English
• Published: International Medical Research and Development Corporation 2016-09-01
• Series: International Journal of Biomedicine
• Subjects: homeostasis; control matrix; coronary sinus; cerebral blood flow; hepatic blood flow
• Online Access: http://ijbm.org/articles/IJBM_6(3)_OA5.pdf
• ISSN: 2158-0510; 2158-0529

We undertook our research to study and systemize the relationship between hemodynamics and biochemical parameters of arterial and venous blood in healthy people. Hemodynamic and biochemical characteristics were obtained through a probe by using catheterization in various vascular areas (aorta, brain, heart, lungs, and liver). Correlation and factor analyses were conducted to study the relationship between the obtained characteristics of the regional and systemic blood flow. Due to the nature of the correlation analysis, the significant (p<0.05) relation signs (+, 0, -) without regard to their power were considered. The obtained results suggested that there are sets of both intra-organ and system regulatory relationships between metabolic and hemodynamic characteristics. The complex of relationships among the studied parameters makes it possible to maintain the homeostatic equilibrium in the body. The psychophysiological control system includes the subsystems we described: 1) the cardiac-hepatic-pulmonary complex having properties of the metabolic and hemodynamic information field providing biological stability of the homeostasis; any significant imbalance of its elements triggers afferent information flows actualizing an afferent synthesis; 2) the mind forming gradient patterns of targeted behavior to eliminate metabolic imbalance, to achieve goals both as coded biological parameters and as the highest forms of behavior, to reach the ultimate goal: parametric, homeostatic equilibrium in the “biosphere” of the human body. By using the results of our research and the complex of dynamic relationships in human homeostasis, we built a homeostatic control matrix (HCM).