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RESEARCH PAPER / 2025-11-17

Spatial Transcriptomic Characteristics of the Aging Human Ovary.

Meiling Zhang, Fanghao Guo, Qing Zhang, Qianhui Hu, Di Sun, Yongjian Ma, Yanquan Li, Mengxi Guo, Haixia Ding, Ying Guo, Baicai Yang, Songmao Li, Ningxia Sun, Yuxuan Zheng, Wen Li

Center for Reproductive Medicine & Fertility Preservation Program, International Peace Maternity and Child Health Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai, China.Center for Reproductive Medicine & Fertility Preservation Program, International Peace Maternity and Child Health Hospital, School of Medicine Shanghai Jiao Tong University, Shanghai, China. · pubmed

Abstract

Ovarian aging is a complex process that compromises fertility and elevates the risk of reproductive disorders. To elucidate its spatiotemporal dynamics, we integrated single-nucleus RNA sequencing and spatial transcriptomics to construct a comprehensive aging atlas of 12 human ovarian tissues spanning ages 12-54 (prepubertal, age 12, n = 1; young, ages 23-29, n = 4; middle-aged, ages 32-34, n = 2; and older-aged, ages 42-54, n = 5). Our analysis revealed aging-related transcriptomic shifts, including impaired mitochondrial oxidative phosphorylation and reproductive structure development in aged human ovaries. We identified a novel endothelial cell (EDC) subtype, CLDN5

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 to identify aging-related transcriptomic shifts in human ovaries, including impaired mitochondrial function. This research is relevant as it explores the biological mechanisms underlying ovarian aging, which is a critical aspect of reproductive aging and longevity.

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