University of Exeter
Browse

Quantitative approaches in clinical reproductive endocrinology

Download (838.42 kB)
journal contribution
posted on 2025-08-01, 15:32 authored by M Voliotis, S Hanassab, A Abbara, T Heinis, WS Dhillo, K Tsaneva-Atanasova
Understanding the human hypothalamus-pituitary-gonadal (HPG) axis presents a major challenge for medical science. Dysregulation of the HPG axis is linked to infertility and a thorough understanding of its dynamic behaviour is necessary to both aid diagnosis and to identify the most appropriate hormonal interventions. Here, we review how quantitative models are being used in the context of clinical reproductive endocrinology to: 1. analyse the secretory patterns of reproductive hormones; 2. evaluate the effect of drugs in fertility treatment; 3. aid in the personalization of assisted reproductive technology (ART). In this review, we demonstrate that quantitative models are indispensable tools enabling us to describe the complex dynamic behaviour of the reproductive axis, refine treatment of fertility disorders, and predict clinical intervention outcomes.

Funding

BB/S000550/1

BB/S001255/1

Biotechnology and Biological Sciences Research Council (BBSRC)

CS-2018-18-ST2-002

EP/N014391/1

EP/T017856/1

Engineering and Physical Sciences Research Council (EPSRC)

National Institute for Health Research (NIHR)

P/S023283/1

UKRI

History

Related Materials

Rights

© 2022 The Author(s). Published by Elsevier Ltd. Open access under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/

Notes

This is the author accepted manuscript. The final version is available on open access from Elsevier via the DOI in this record Data availability: No data was used for the research described in the article.

Journal

Current Opinion in Endocrine and Metabolic Research

Pagination

100421-

Publisher

Elsevier

Version

  • Accepted Manuscript

Language

en

FCD date

2022-10-13T10:50:11Z

FOA date

2022-10-13T10:56:56Z

Citation

Article 100421

Department

  • Mathematics and Statistics

Usage metrics

    University of Exeter

    Categories

    No categories selected

    Keywords

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC