JOURNAL ARTICLE
Oscillatory mechanism in menstrual cycle model regulated by negative feedback loops with two time delays.
Published In: International Journal of Biomathematics, 2026, v. 19, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Wang, Yao; Yu, Feng; Yang, Ling 3 of 3
Abstract
The menstrual cycle of fertile female is regulated by multiple organs and hormones, controlling the reproductive health and fertility of females. This paper is dedicated to exploring how two negative feedback loops regulate and influence the dynamic behavior of the menstrual cycle. We simplified the regulation circuit of the menstrual cycle into a nonlinear differential equation with two time delays. This simplified mathematical model integrates the hypothalamus–pituitary–ovary primary negative feedback loop and the negative feedback auxiliary loop between the ovary and the pituitary. We investigated the delay-dependent conditions for the stability of the model's equilibrium points and also demonstrated the presence of Hopf bifurcations. Theoretical analysis suggests that the primary feedback loop is the major factor driving oscillation in the system. Further numerical simulations indicate that the negative feedback auxiliary loop allows the system to adjust its amplitude while maintaining the robustness of the cycle length. Consequently, the results obtained from this model provide new insights into the regulation of oscillations in menstrual cycle irregularities. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Biomathematics. 2026/01, Vol. 19, Issue 1, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2026
- ISSN:1793-5245
- DOI:10.1142/S1793524524500505
- Accession Number:191010044
- Copyright Statement:Copyright of International Journal of Biomathematics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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