Saturday, January 24, 2009

Model-Based Therapeutic Correction of Hypothalamic-Pituitary-Adrenal Axis Dysfunction

Model-Based Therapeutic Correction of Hypothalamic-Pituitary-Adrenal Axis Dysfunction

Journal: PLoS Comput Biol. 2009 Jan;5(1):e1000273. Epub 2009 Jan 23.

Authors: Ben-Zvi A, Vernon SD, Broderick G.

Affiliations:
[1] Department of Chemical and Materials Engineering, University of
Alberta, Edmonton, Alberta, Canada,
[2] The CFIDS Association of America, Charlotte, North Carolina,
United States of America,
[3] Department of Medicine, University of Alberta, Edmonton, Alberta, Canada

NLM Citation: PMID: 19165314


The hypothalamic-pituitary-adrenal (HPA) axis is a major system  maintaining body homeostasis by regulating the neuroendocrine and  sympathetic nervous systems as well modulating immune function.  Recent work has shown that the complex dynamics of this system  accommodate several stable steady states, one of which corresponds to
the hypocortisol state observed in patients with chronic fatigue  syndrome (CFS). At present these dynamics are not formally considered in the development of treatment strategies.

Here we use model-based predictive control (MPC) methodology to  estimate robust treatment courses for displacing the HPA axis from an  abnormal hypocortisol steady state back to a healthy cortisol level.  This approach was applied to a recent model of HPA axis dynamics  incorporating glucocorticoid receptor kinetics. A candidate treatment  that displays robust properties in the face of significant biological variability and measurement uncertainty requires that cortisol be further suppressed for a short period until adrenocorticotropic  hormone levels exceed 30% of baseline. Treatment may then be  discontinued, and the HPA axis will naturally progress to a stable attractor defined by normal hormone levels.

Suppression of biologically available cortisol may be achieved  through the use of binding proteins such as CBG and certain  metabolizing enzymes, thus offering possible avenues for deployment  in a clinical setting. Treatment strategies can therefore be designed  that maximally exploit system dynamics to provide a robust response to treatment and ensure a positive outcome over a wide range of conditions.

Perhaps most importantly, a treatment course involving further  reduction in cortisol, even transient, is quite counterintuitive and  challenges the conventional strategy of supplementing cortisol  levels, an approach based on steady-state reasoning.

    

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