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DOI 10.18632/aging.205086

Медицинская библиотека · Aging · 2023

Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes.

Hale Andrew T, Kundishora Adam J, Kalailingam Pazhanichamy, Barak Tanyeri, Duy Phan Q, Ramundo Christopher M, Fan Baojian, Li Qiang, Brastianos Priscilla K, Shankar Ganesh M, Alper Seth L, Kleinstiver Benjamin P, Musolino Patricia L, Kahle Kristopher T

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

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.

Для цитирования: Hale Andrew T, Kundishora Adam J, Kalailingam Pazhanichamy, Barak Tanyeri, Duy Phan Q, Ramundo Christopher M, Fan Baojian, Li Qiang, Brastianos Priscilla K, Shankar Ganesh M, Alper Seth L, Kleinstiver Benjamin P, Musolino Patricia L, Kahle Kristopher T. Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes.. Aging. 2023. DOI: 10.18632/aging.205086.

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