A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology.

ABSTRACT:

Background

The dynamic interplay of ovarian hormones is central to reproductive physiology, yet the complexity of their cyclic variations poses challenges for analysis, simulation, and teaching. This study presents a framework for generating physiologically constrained, multi-hormone synthetic time series that capture intra- and inter-individual variability across phenotypes.

Methods

We developed a semi-mechanistic mathematical framework to generate synthetic multi-hormone profiles (estradiol, FSH, LH, AMH, testosterone, GnRH) using parametric equations embedding known physiological feedbacks (e.g., estradiol-LH delay, estradiol suppression of FSH). Stochastic components were calibrated to reported physiological ranges. Eumenorrheic and PCOS-like phenotypes were defined thro

SUBMITTER: Vallee A 

PROVIDER: S-EPMC12395073 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature