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Female germline stem cells: aging and anti-aging

Wenli Hong, Baofeng Wang, Yasha Zhu, Jun’e Wu, Qiu Li, Shuyi Ling, Ziqiong Zhou, Yuqing Dai, Zhisheng Zhong, Yuehui Zheng

Journal of Ovarian Research · 2022 · ▲ 27 citations

Abstract

The delay of ovarian aging and the fertility preservation of cancer patients are the eternal themes in the field of reproductive medicine. Acting as the pacemaker of female physiological aging, ovary is also considered as the principle player of cancer, cardiovascular diseases, cerebrovascular diseases, neurodegenerative diseases and etc. However, its aging mechanism and preventive measures are still unclear. Some researchers attempt to activate endogenous ovarian female germline stem cells (FGSCs) to restore ovarian function, as the most promising approach. FGSCs are stem cells in the adult ovaries that can be infinitely self-renewing and have the potential of committed differention. This review aims to elucidate FGSCs aging mechanism from multiple perspectives such as niches, immune disorder, chronic inflammation and oxidative stress. Therefore, the rebuilding nichs of FGSCs, regulation of immune dysfunction, anti-inflammation and oxidative stress remission are expected to restore or replenish FGSCs, ultimately to delay ovarian aging.

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Provenance

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OpenAlex
DOI
10.1186/s13048-022-01011-2
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2026-10-24 MST

Cite this

APA
Hong, W., Wang, B., Zhu, Y., Wu, J., Li, Q., Ling, S., Zhou, Z., Dai, Y., Zhong, Z., &amp; Zheng, Y. (2022). Female germline stem cells: aging and anti-aging. <em>Journal of Ovarian Research</em>. https://doi.org/10.1186/s13048-022-01011-2
Vancouver
Hong W, Wang B, Zhu Y, Wu J, Li Q, Ling S, et al. Female germline stem cells: aging and anti-aging. Journal of Ovarian Research. 2022. doi:10.1186/s13048-022-01011-2.
BibTeX
@article{wenli2022Female, title = {Female germline stem cells: aging and anti-aging}, author = {Wenli Hong and Baofeng Wang and Yasha Zhu and Jun’e Wu and Qiu Li and Shuyi Ling and Ziqiong Zhou and Yuqing Dai and Zhisheng Zhong and Yuehui Zheng}, journal = {Journal of Ovarian Research}, year = {2022}, doi = {10.1186/s13048-022-01011-2}, }

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