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Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes
Female fertility is negatively correlated with age, with noticeable declines in oocyte quantity and quality until menopause. To understand this physiological process and evaluate human approaches for treating age-related infertility, preclinical studies in appropriate animal models are needed. Thus,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637815/ https://www.ncbi.nlm.nih.gov/pubmed/37847151 http://dx.doi.org/10.18632/aging.205086 |
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author | Marchante, María Ramirez-Martin, Noelia Buigues, Anna Martinez, Jessica Pellicer, Nuria Pellicer, Antonio Herraiz, Sonia |
author_facet | Marchante, María Ramirez-Martin, Noelia Buigues, Anna Martinez, Jessica Pellicer, Nuria Pellicer, Antonio Herraiz, Sonia |
author_sort | Marchante, María |
collection | PubMed |
description | Female fertility is negatively correlated with age, with noticeable declines in oocyte quantity and quality until menopause. To understand this physiological process and evaluate human approaches for treating age-related infertility, preclinical studies in appropriate animal models are needed. Thus, we aimed to characterize an immunodeficient physiological aging mouse model displaying ovarian characteristics of different stages during women's reproductive life. NOD/SCID mice of different ages (8-, 28-, and 36–40-week-old) were employed to mimic ovarian phenotypes of young, Advanced Maternal Age (AMA), and old women (~18–20-, ~36–38-, and >45-years-old, respectively). Mice were stimulated, mated, and sacrificed to recover oocytes and embryos. Then, ovarian reserve, follicular growth, ovarian stroma, mitochondrial dysfunction, and proteomic profiles were assessed. Age-matched C57BL/6 mice were employed to cross-validate the reproductive outcomes. The quantity and quality of oocytes were decreased in AMA and Old mice. These age-related effects associated spindle and chromosome abnormalities, along with decreased developmental competence to blastocyst stage. Old mice had less follicles, impaired follicle activation and growth, an ovarian stroma inconducive to growth, and increased mitochondrial dysfunctions. Proteomic analysis corroborated these histological findings. Based on that, NOD/SCID mice can be used to model different ovarian aging phenotypes and potentially test human anti-aging treatments. |
format | Online Article Text |
id | pubmed-10637815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-106378152023-11-15 Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes Marchante, María Ramirez-Martin, Noelia Buigues, Anna Martinez, Jessica Pellicer, Nuria Pellicer, Antonio Herraiz, Sonia Aging (Albany NY) Research Paper Female fertility is negatively correlated with age, with noticeable declines in oocyte quantity and quality until menopause. To understand this physiological process and evaluate human approaches for treating age-related infertility, preclinical studies in appropriate animal models are needed. Thus, we aimed to characterize an immunodeficient physiological aging mouse model displaying ovarian characteristics of different stages during women's reproductive life. NOD/SCID mice of different ages (8-, 28-, and 36–40-week-old) were employed to mimic ovarian phenotypes of young, Advanced Maternal Age (AMA), and old women (~18–20-, ~36–38-, and >45-years-old, respectively). Mice were stimulated, mated, and sacrificed to recover oocytes and embryos. Then, ovarian reserve, follicular growth, ovarian stroma, mitochondrial dysfunction, and proteomic profiles were assessed. Age-matched C57BL/6 mice were employed to cross-validate the reproductive outcomes. The quantity and quality of oocytes were decreased in AMA and Old mice. These age-related effects associated spindle and chromosome abnormalities, along with decreased developmental competence to blastocyst stage. Old mice had less follicles, impaired follicle activation and growth, an ovarian stroma inconducive to growth, and increased mitochondrial dysfunctions. Proteomic analysis corroborated these histological findings. Based on that, NOD/SCID mice can be used to model different ovarian aging phenotypes and potentially test human anti-aging treatments. Impact Journals 2023-10-16 /pmc/articles/PMC10637815/ /pubmed/37847151 http://dx.doi.org/10.18632/aging.205086 Text en Copyright: © 2023 Marchante et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Marchante, María Ramirez-Martin, Noelia Buigues, Anna Martinez, Jessica Pellicer, Nuria Pellicer, Antonio Herraiz, Sonia Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title | Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title_full | Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title_fullStr | Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title_full_unstemmed | Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title_short | Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes |
title_sort | deciphering reproductive aging in women using a nod/scid mouse model for distinct physiological ovarian phenotypes |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637815/ https://www.ncbi.nlm.nih.gov/pubmed/37847151 http://dx.doi.org/10.18632/aging.205086 |
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