A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy

Bindellini, D. orcid.org/0009-0000-0758-5951, Michelet, R. orcid.org/0000-0002-5485-607X, Aulin, L.B.S. orcid.org/0000-0003-4840-5704 et al. (7 more authors) (2024) A quantitative modeling framework to understand the physiology of the hypothalamic-pituitary-adrenal axis and interaction with cortisol replacement therapy. Journal of Pharmacokinetics and Pharmacodynamics, 51 (6). pp. 809-824. ISSN 1567-567X

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Item Type: Article
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© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Congenital adrenal hyperplasia; Circadian rhythm; Cortisol; ACTH; Modeling; Cortisol replacement therapy
Dates:
  • Published: December 2024
  • Published (online): 8 July 2024
  • Accepted: 30 June 2024
  • Submitted: 21 February 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION - FP6/FP7
TAIN - 281654
Depositing User: Symplectic Sheffield
Date Deposited: 25 Nov 2024 16:14
Last Modified: 25 Nov 2024 16:14
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1007/s10928-024-09934-7
Open Archives Initiative ID (OAI ID):

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