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Metabolic Mechanisms and Potential Therapeutic Targets for Prevention of Ovarian Aging: Data from Up-to-Date Experimental Studies

Konstantinos Valtetsiotis, Georgios Valsamakis, Evangelia Charmandari, Nikolaos Vlahos

International Journal of Molecular Sciences · 2023 · ▲ 19 citations

Abstract

Female infertility and reproduction is an ongoing and rising healthcare issue, resulting in delaying the decision to start a family. Therefore, in this review, we examine potential novel metabolic mechanisms involved in ovarian aging according to recent data and how these mechanisms may be addressed through new potential medical treatments. We examine novel medical treatments currently available based mostly on experimental stem cell procedures as well as caloric restriction(definition) (CR), hyperbaric oxygen treatment and mitochondrial transfer. Understanding the connection between metabolic and reproductive pathways has the potential to offer a significant scientific breakthrough in preventing ovarian aging and prolonging female fertility. Overall, the field of ovarian aging is an emerging field that may expand the female fertility window and perhaps even reduce the need for artificial reproductive techniques.

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Provenance

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OpenAlex
DOI
10.3390/ijms24129828
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2026-06-30 MST

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APA
Valtetsiotis, K., Valsamakis, G., Charmandari, E., &amp; Vlahos, N. (2023). Metabolic Mechanisms and Potential Therapeutic Targets for Prevention of Ovarian Aging: Data from Up-to-Date Experimental Studies. <em>International Journal of Molecular Sciences</em>. https://doi.org/10.3390/ijms24129828
Vancouver
Valtetsiotis K, Valsamakis G, Charmandari E, Vlahos N. Metabolic Mechanisms and Potential Therapeutic Targets for Prevention of Ovarian Aging: Data from Up-to-Date Experimental Studies. International Journal of Molecular Sciences. 2023. doi:10.3390/ijms24129828.
BibTeX
@article{konstantinos2023Metabo, title = {Metabolic Mechanisms and Potential Therapeutic Targets for Prevention of Ovarian Aging: Data from Up-to-Date Experimental Studies}, author = {Konstantinos Valtetsiotis and Georgios Valsamakis and Evangelia Charmandari and Nikolaos Vlahos}, journal = {International Journal of Molecular Sciences}, year = {2023}, doi = {10.3390/ijms24129828}, }

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