Yale Image Finder

Search the actual image content of 481,751 (and growing!) Open Access images and figures from PubMed Central.


Search: Image Text (High Recall) Image Text (High Precision) Caption Abstract Title Full Text

Related Figures


Figure 2 Stability, homeostasis, and robustness. ...

Figure 7 Steady state analysis in SBML-SAT. Stead...

Figure 2 Steady state behavior of ScbA/ScbR syste...

Figure 2 Ventilatory stabilityAn initial perturba...

Figure 4 Dependence on initial values for steady-...

Figure 6 Response of the system to clonal perturb...

Figure 2 The prediction of bistability in complex...

Figure 6 Two-phase pattern of invasion where the ...

Figure 3 Stability of the steady states of the co...

Figure 4 The steady state probability landscape o...

Figure 1: Steady states of the HPA axis system.Steady-state concentration of CRH (x1), ACTH (x2), GR (x3) and cortisol (x4) as a function of the external stressor f for the model expressed as system H. The system naturally accommodates 3 stable steady states at rest f = 0 and over a broad range of increasing values for f.

Image Text (High Precision): ACTH CRH concentration cortisol stress stressor

Other Images from "Model-Based Therapeutic Correction of Hypothalamic-Pituitary-Adrenal Axis Dysfunction":


Figure 3 Idealized corrective control action.Conc...

Figure 4 A suboptimal but clinically realistic co...

Figure 2 Migration of cortisol concentration from...

Figure 1 Steady states of the HPA axis system.Ste...

Figure 5 Balancing intensity and duration of trea...

[Full Text] [PDF]

Abstract

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.


Search: Image Text (High Recall) Image Text (High Precision) Caption Abstract Title Full Text

All images and content copyright their respective owners. All else copyright ©2007-2008, Krauthammer Lab, Yale University.

Sign up for Yale Image Finder announcements:

Email: