Stochastic analysis sheds light on the aging of the ovaries and menopause time

Menopause, guided by the aging of the ovary and the exhaustion of the ovarian reserve, means the end of the fertility of a woman and although many aspects of these processes are well understood, general dynamics remains unclear. A new study of scientists from Rice University, published on February 10, introduces a new approach to solving complex adventure patterns using stochastic analysis, a mathematical approach that analyzes systems by assessing all potential results using a random probability.

The research team, led by Anatoly Kolomeisky, a professor of chemical and chemical and biomolecular engineering, developed a theoretical framework that quantitatively provides for menopause time. Analyzing how the ovarian follicles go to different stages, the scientists model explains why menopause occurs and sheds light on individual variability and differences in the sacred population. These observations can improve fertility planning, inform about healthcare decisions related to hormonal therapies and increase our understanding of age -related health threats related to the aging of the ovaries.

Considering menopause as a sequential process covering random passages of the bellows, we can better understand individual variability and trends in the entire population during menopause. “

Anatoly Kolomeisky, Professor of Chemistry and Chemical and Biomolecular Engineering, Rice University

The new theoretical model unlocks the secret of menopause

The research syndrome has hypothesized that the aging of the ovaries is in line with the stochastic sequential process, which is affected by follicles that have been affected by many developmental stages. Unlike previous studies focusing primarily on hormonal and genetic influences, in this study, clear analytical calculations supported by extensive computer simulations were used.

This approach allowed researchers to model the gradual exhaustion of ovarian bubble reserves, providing detailed quantitative frames that are in line with medical data from various populations.

“By using stochastic analysis, we can go beyond broad observations and develop precise, predictive insight into the time and variability of menopause,” said Kolomeisky.

Key findings Discover menopause time

Scientists have discovered a universal relationship between the three critical factors: the initial reserve of the bubbles, the ovarian exhaustion indicator and the threshold that causes menopause. Their model also revealed that menopause is present in a surprisingly narrow age range, a phenomenon that has not yet been fully explained.

“One of the most unexpected discoveries was the synchronization of bubbles that can regulate Menopause time“Said colomeks.” This suggests that the underlying biochemical processes ensure a relatively consistent age of menopause despite individual changes. “

Anupam Mondal, PhD student at the Center for Theoretical Biological Physics and student Evelina Tcheranniak from the Department of Biomolecular Engineering Co -author of the study, which was supported by the Welch Foundation and the Center for theoretical Biological Physics.