Computational Models of Adrenal Hormone Signalling

Updated: Apr 29

Image. 1. Static depiction of the the Hypothalamic-Pituitary-Adrenal Axis.

In-silico modelling is frequently employed alongside in-vitro and in-vivo studies to improve hypotheses and optimize methodology. Complex biosynthesis pathways can be depicted in a streamlined model, then manipulated to predict results of future tests suggested in an experiment.

This comprehensive model has been built and parametrised to mimic the Hypothalamic-Pituitary-Adrenal- Axis (Image. 1.).

Image. 2. Fluctuations of corticosterone as predicted by computational modelling.

Our computational model is able to recapitulate fluctuating corticosterone levels (Image. 2.) as seen in vivo offering an opportunity to run simulations of potential treatments which will set the benchmark for understanding drug manipulation in vitro and in vivo (as seen in video below).

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