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Analysis Of Systems Influencing Renal Hemodynamics And Sodium Excretion. I. Biochemical Systems Theory


Enviado por   •  23 de Junio de 2015  •  334 Palabras (2 Páginas)  •  152 Visitas

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SHARON L. REILLY, CHARLES F. SING, AND MICHAEL A. SAVAGEAU

University of Michigan Medical School, Ann Arbor

and

STEPHEN T. TURNER

Dept. of lnternal Medicine, Mayo Clinic

Abstract--In this article we present a new methodology--Biochemical Systems Theory

and Analysis---as an alternative to traditional parametric statistical procedures for investigating

differences between risk groups in a population. We review the systems theory and

how it can be used to represent a model of processes influencing renal hemodynamics and

sodium (Na § excretion. We also discuss the potential for new measures of the biology of

common diseases that can emerge from a synergism between systems theory and population-

based statistical approaches.

Key Words: Systems theory, Hypertension, Renal Hemodynamics, Genetics, Common

Diseases

Introduction

Common diseases, such as hypertension, coronary artery disease, and cancer, are the

clearest examples of biological complexity. One property of complex systems that all

common diseases share is a complex etiological hierarchy (Sing and Reilly, 1993). This

hierarchy consists of many genes (level I) determining the biochemical, physiological and

anatomical systems (level II) that are associated with the initiation, progression, and manifestation

of the disease (level III). Environmental factors, such as diet and lifestyle, also

play a key role in determining risk of disease since they influence each of these etiological

levels. As information at these etiological levels continues to accumulate there is an increasing

need to determine if this piecewise knowledge can be integrated to simultaneously

model the relationship within and between the three levels for a common disease.

Systems analysis is one class of quantitative methods that has been successful in modeling

many different types of physiological and biochemical processes (level II) and their

impact on traits associated with a particular disease (level III) (Guyton et

...

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