A semi-mechanistic mathematical model on the interactions between the ovulatory-menstrual cycle and the metabolic and cardiovascular system

Abstract: The female body, especially the sex hormones and their dynamic interactions with the rest of the body, have been historically understudied. Many disruptions happen precisely in the interactions between two or more subsystems, but systemic interactions that sustain health or pathological states are often overlooked. Consequently, diagnosis and treatments barely take them into consideration. Mathematical modelling allows to study dynamic interactions to better understand the system as a whole. The aim of the current research is to build a semi-mechanistic mathematical model based on physical principles to describe the interactions between the Ovulatory-Menstrual Cycle (OMC), the metabolic and the cardiovascular system. Here, we show preliminary simulation results from coupling Glucose-Insulin (G-I) dynamics to estradiol (E2) and progesterone (P4) levels. The model also includes endometrial tissue growth coupled to the Hypothalamus-Pituitary-Ovary (HPO) axis dynamics throughout the ovulatory cycle. Regarding the cardiovascular system, we model it from a fluid mechanics perspective as a closed loop, to explore the impact of E2 and P4 on blood tension and volumetric flows.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14277916
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
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article

A semi-mechanistic mathematical model on the interactions between the ovulatory-menstrual cycle and the metabolic and cardiovascular system

Zenodo (CERN European Organization for Nuclear Research)
Ovarian function and disorders
article

A semi-mechanistic mathematical model on the interactions between the ovulatory-menstrual cycle and the metabolic and cardiovascular system

article en

Abstract

Abstract: The female body, especially the sex hormones and their dynamic interactions with the rest of the body, have been historically understudied. Many disruptions happen precisely in the interactions between two or more subsystems, but systemic interactions that sustain health or pathological states are often overlooked. Consequently, diagnosis and treatments barely take them into consideration. Mathematical modelling allows to study dynamic interactions to better understand the system as a whole. The aim of the current research is to build a semi-mechanistic mathematical model based on physical principles to describe the interactions between the Ovulatory-Menstrual Cycle (OMC), the metabolic and the cardiovascular system. Here, we show preliminary simulation results from coupling Glucose-Insulin (G-I) dynamics to estradiol (E2) and progesterone (P4) levels. The model also includes endometrial tissue growth coupled to the Hypothalamus-Pituitary-Ovary (HPO) axis dynamics throughout the ovulatory cycle. Regarding the cardiovascular system, we model it from a fluid mechanics perspective as a closed loop, to explore the impact of E2 and P4 on blood tension and volumetric flows.

Zenodo (CERN European Organization for Nuclear Research)
Universidad Nacional de Colombia (CO), University of Bergen (NO)
Openalex Percentile: Top 56%
Ovarian function and disorders
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