Research Paper Volume 15, Issue 20 pp 10856—10874
Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes
- 1 IVIRMA Global Research Alliance, IVI Foundation, Valencia 46026, Spain
- 2 Department of Pediatrics, Obstetrics and Gynecology, School of Medicine, University of Valencia, Valencia 46010, Spain
- 3 Reproductive Medicine Research Group, Instituto Investigación Sanitaria La Fe (IIS La Fe), Valencia 46026, Spain
- 4 IVIRMA Valencia, Valencia 46015, Spain
- 5 IVIRMA Rome, Rome 00197, Italy
Received: April 19, 2023 Accepted: September 8, 2023 Published: October 16, 2023
https://doi.org/10.18632/aging.205086How to Cite
Copyright: © 2023 Marchante et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
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.