Patient specific modeling of the HPA axis related to clinical diagnosis of depression

Elisabeth Bangsgaard, Johnny T. Ottesen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

A novel model of the hypothalamic-pituitary-adrenal axis is presented. The axis is an endocrine system responsible for coping with stress and it is likely to be involved in depression. The dynamics of the system is studied and existence, uniqueness and positivity of the solution and the existence of an attracting trapping region are proved. The model is calibrated and compared to data for healthy and depressed subjects. A sensitivity analysis resulting in a set of identifiable physiological parameters is provided. A subset is selected for parameter estimation and a reduced version of the model is stated and an approximated version is discussed. The model is physiologically based, thus parameters are representative for gland functions or elimination processes. Hence the model may be used for pointing out pathologies by parameter estimation and hypothesis testing whereby it may be used as an objective and refined method for diagnosing depression and suggesting individual treatment protocols. Finally, the method may inspire pharmaceutical companies to develop target specific psychopharmaca for more effective and individual treatment.
OriginalsprogEngelsk
TidsskriftMathematical Biosciences
Vol/bind287
Sider (fra-til)24-35
Antal sider12
ISSN0025-5564
DOI
StatusUdgivet - 2017

Emneord

  • Depression
  • HPA axis
  • Patient specific
  • Mathematical modeling
  • Non-linear ODE model
  • Parameter estimation
  • Clinical impact
  • Bio-marker

Citer dette

@article{8e28f9b9f3314e24aacbe7cb1af01b51,
title = "Patient specific modeling of the HPA axis related to clinical diagnosis of depression",
abstract = "A novel model of the hypothalamic-pituitary-adrenal axis is presented. The axis is an endocrine system responsible for coping with stress and it is likely to be involved in depression. The dynamics of the system is studied and existence, uniqueness and positivity of the solution and the existence of an attracting trapping region are proved. The model is calibrated and compared to data for healthy and depressed subjects. A sensitivity analysis resulting in a set of identifiable physiological parameters is provided. A subset is selected for parameter estimation and a reduced version of the model is stated and an approximated version is discussed. The model is physiologically based, thus parameters are representative for gland functions or elimination processes. Hence the model may be used for pointing out pathologies by parameter estimation and hypothesis testing whereby it may be used as an objective and refined method for diagnosing depression and suggesting individual treatment protocols. Finally, the method may inspire pharmaceutical companies to develop target specific psychopharmaca for more effective and individual treatment.",
keywords = "Depression, HPA axis, Patient specific, Mathematical modeling, Non-linear ODE model, Parameter estimation, Clinical impact, Bio-marker, Depression, HPA axis, Patient specific, Mathematical modeling, Non-linear ODE model, Parameter estimation, Clinical impact, Bio-marker",
author = "Elisabeth Bangsgaard and Ottesen, {Johnny T.}",
year = "2017",
doi = "10.1016/j.mbs.2016.10.007",
language = "English",
volume = "287",
pages = "24--35",
journal = "Mathematical Biosciences",
issn = "0025-5564",
publisher = "Elsevier Inc.",

}

Patient specific modeling of the HPA axis related to clinical diagnosis of depression. / Bangsgaard, Elisabeth; Ottesen, Johnny T.

I: Mathematical Biosciences, Bind 287, 2017, s. 24-35.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Patient specific modeling of the HPA axis related to clinical diagnosis of depression

AU - Bangsgaard, Elisabeth

AU - Ottesen, Johnny T.

PY - 2017

Y1 - 2017

N2 - A novel model of the hypothalamic-pituitary-adrenal axis is presented. The axis is an endocrine system responsible for coping with stress and it is likely to be involved in depression. The dynamics of the system is studied and existence, uniqueness and positivity of the solution and the existence of an attracting trapping region are proved. The model is calibrated and compared to data for healthy and depressed subjects. A sensitivity analysis resulting in a set of identifiable physiological parameters is provided. A subset is selected for parameter estimation and a reduced version of the model is stated and an approximated version is discussed. The model is physiologically based, thus parameters are representative for gland functions or elimination processes. Hence the model may be used for pointing out pathologies by parameter estimation and hypothesis testing whereby it may be used as an objective and refined method for diagnosing depression and suggesting individual treatment protocols. Finally, the method may inspire pharmaceutical companies to develop target specific psychopharmaca for more effective and individual treatment.

AB - A novel model of the hypothalamic-pituitary-adrenal axis is presented. The axis is an endocrine system responsible for coping with stress and it is likely to be involved in depression. The dynamics of the system is studied and existence, uniqueness and positivity of the solution and the existence of an attracting trapping region are proved. The model is calibrated and compared to data for healthy and depressed subjects. A sensitivity analysis resulting in a set of identifiable physiological parameters is provided. A subset is selected for parameter estimation and a reduced version of the model is stated and an approximated version is discussed. The model is physiologically based, thus parameters are representative for gland functions or elimination processes. Hence the model may be used for pointing out pathologies by parameter estimation and hypothesis testing whereby it may be used as an objective and refined method for diagnosing depression and suggesting individual treatment protocols. Finally, the method may inspire pharmaceutical companies to develop target specific psychopharmaca for more effective and individual treatment.

KW - Depression

KW - HPA axis

KW - Patient specific

KW - Mathematical modeling

KW - Non-linear ODE model

KW - Parameter estimation

KW - Clinical impact

KW - Bio-marker

KW - Depression

KW - HPA axis

KW - Patient specific

KW - Mathematical modeling

KW - Non-linear ODE model

KW - Parameter estimation

KW - Clinical impact

KW - Bio-marker

U2 - 10.1016/j.mbs.2016.10.007

DO - 10.1016/j.mbs.2016.10.007

M3 - Journal article

VL - 287

SP - 24

EP - 35

JO - Mathematical Biosciences

JF - Mathematical Biosciences

SN - 0025-5564

ER -