Quantitative proteomic analysis of pathological and physiological ovarian aging: model evaluation, molecular mechanisms, and identification of early biomarkers and therapeutic targets.

Mengying Bai, Liujuan Zhang, Wenbo Wu, Ruoxin Weng, Haifeng Wu, Yuan Li, Shuyi Ling, Yuehui Zheng

Reproductive Health Department, The Fourth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, Guangdong, China.Reproductive Health Department, The Fourth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, Guangdong, China. · pubmed

Paper

Abstract

Ovarian aging is considered the "pacemaker" and "biological clock" of systemic female aging, with early manifestations that are often insidious. In this study, we analyzed the shared and distinct molecular signatures between physiological and pathological ovarian aging models using proteomic approaches, with the aim of identifying early predictive markers and therapeutic targets for ovarian aging, evaluating model fidelity, and elucidating underlying molecular mechanisms.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The study aims to identify early predictive markers and therapeutic targets for ovarian aging. This research is relevant as it addresses the molecular mechanisms of ovarian aging, which is a critical aspect of female reproductive aging and its implications for overall longevity.

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