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Communications in Mathematical Biology and Neuroscience ISSN 2052-2541

Archives › Volume 2018 (2018)

Commun. Math. Biol. Neurosci. 2018 (2018), Article ID 18

A simplification and analysis of the HPA axis model

Pengcheng Xiao, Adam Lonnberg, Tuan Nguyen

PDF (312.4 KB) https://doi.org/10.28919/cmbn/3763

Abstract

The human stress response is controlled largely by the hypothalamic pituitary adrenal (HPA) axis. Models predicting the levels of the hormones involved are very often not analytically solvable because of nonlinear complexity. A simplified HPA axis model with the minimum nonlinear terms including the glucocorticoid receptor (GR) is proposed. Quantitative analysis and numerical simulation related oscillating solutions are both investigated in this model.

Published
12 September 2018
Volume
2018 (2018)
License
CC BY 3.0

Copyright © 2018 Pengcheng Xiao, Adam Lonnberg, Tuan Nguyen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

P. Xiao, A. Lonnberg, T. Nguyen, A simplification and analysis of the HPA axis model, Commun. Math. Biol. Neurosci. 2018 (2018), 18. https://doi.org/10.28919/cmbn/3763

BibTeX
@article{Xiao2018,
  author  = {Xiao, Pengcheng and Lonnberg, Adam and Nguyen, Tuan},
  title   = {A simplification and analysis of the HPA axis model},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2018},
  year    = {2018},
  pages   = {18},
  doi     = {10.28919/cmbn/3763}
}