Harnessing omics data for drug discovery and development in ovarian aging.

Fengyu Zhang, Ming Zhu, Yi Chen, Guiquan Wang, Haiyan Yang, Xinmei Lu, Yan Li, Hsun-Ming Chang, Yang Wu, Yunlong Ma, Shuai Yuan, Wencheng Zhu, Xi Dong, Yue Zhao, Yang Yu, Jia Wang, Liangshan Mu

Reproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China.Reproductive Medicine Center, Zhongshan Hospital, Fudan University, Shanghai, China. · pubmed

Paper

Abstract

Ovarian aging occurs earlier than the aging of many other organs and has a lasting impact on women's overall health and well-being. However, effective interventions to slow ovarian aging remain limited, primarily due to an incomplete understanding of the underlying molecular mechanisms and drug targets. Recent advances in omics data resources, combined with innovative computational tools, are offering deeper insight into the molecular complexities of ovarian aging, paving the way for new opportunities in drug discovery and development.

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 paper claims that advances in omics data and computational tools can lead to new opportunities in drug discovery for ovarian aging. This research is relevant as it addresses the molecular mechanisms of ovarian aging, which is a critical aspect of women's health and longevity.

Author of this paper? Send a correction.