Optimized Parameters for Combined HPA and SA Axis Stress Model

Helen A. Harris provides optimized parameter values for a differential equation model of the combined hypothalamic-pituitary-adrenal and sympathoadrenal axes. The model was estimated using constrained optimization against time series data of cortisol and catecholamine dynamics under acute physical stress. The dataset is a small 5.5 KB XLS file containing the derived parameter sets.

Use Cases

• Calibrate the combined HPA and SA axis differential equation model using the provided optimized parameter values.
• Perform sensitivity analysis on the stress response model using the estimated parameters for cortisol and catecholamine dynamics.
• Validate the proposed mathematical model's qualitative agreement with acute physical stress data using the subject-specific parameter estimations.

Strengths

• Parameters are derived from constrained optimization against experimental time series data for cortisol and catecholamines.
• The model uniquely combines the HPA and SA axes, extending previous HPA-only models.
• Dataset is shared under a permissive CC BY 4.0 license.

Limitations

• The dataset is extremely small at 5.5 KB, indicating limited scope, likely containing only a few parameter sets without raw data.
• Model parameters are subject-specific, limiting generalizability without further estimation.
• Underlying time series data and model code are not included, restricting reproducibility and extension.

Provenance

Source

Helen A. Harris via figshare

Collection Method

Parameters estimated via constrained optimization of a differential equation model against experimental time series data.

Time Range

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Freshness

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