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A Simple Mathematical Model Demonstrates the Potential for Cell-Based Hormone Therapy to Address Dysregulation of the Hypothalamus-Pituitary-Ovary Axis in Females with Loss of Ovarian Function.
Duke, Rachel E; Stanich, Nicholas J; Sittadjody, Sivanandane; Opara, Emmanuel C; Berberich, Jason A; Saul, Justin M.
Afiliação
  • Duke RE; Department of Chemical, Paper and Biomedical Engineering, Miami University, 650 East High Street, Oxford, OH, 45056, USA.
  • Stanich NJ; Department of Biology, Miami University, Oxford, OH, 45056, USA.
  • Sittadjody S; Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
  • Opara EC; Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
  • Berberich JA; Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA.
  • Saul JM; Department of Chemical, Paper and Biomedical Engineering, Miami University, 650 East High Street, Oxford, OH, 45056, USA. berberj@MiamiOH.edu.
Ann Biomed Eng ; 2023 Jul 12.
Article em En | MEDLINE | ID: mdl-37436565
ABSTRACT
Tissue-engineering and cell-based strategies provide an intriguing approach to treat complex conditions such as those of the endocrine system. We have previously developed a cell-based hormone therapy (cHT) to address hormonal insufficiency associated with the loss of ovarian function. To assess how the cHT strategy may achieve its efficacy, we developed a mathematical model to determine if known autocrine, paracrine, and endocrine effects of the native hypothalamus-pituitary-ovary (HPO) axis could explain our previously observed effects in ovariectomized rats following treatment with cHT. Our model suggests that cHT constructs participate in the complex machinery of the HPO axis. We were able to describe the in vivo behaviors of estrogen, progesterone, follicle-stimulating hormone (FSH), luteinizing hormone (LH), inhibin, and androgen with good accuracy. A sensitivity analysis indicated that some parameters impact the broader HPO system more than others, but that most changes in model parameters led to proportional changes in the system. We also conducted a predictive analysis on the effect of cHT dose on HPO axis hormones and found that, with the exception of estrogen, the other HPO hormones analyzed reach a saturation level within the physically possible number of constructs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article