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

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Marchante, M
  • Pellicer, N

Grupos

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.

Datos de la publicación

ISSN/ISSNe:
1945-4589, 1945-4589

Aging-US  IMPACT JOURNALS LLC

Tipo:
Article
Páginas:
10856-10874
DOI:
PubMed:
37847151
Factor de Impacto:
1,212 SCImago ℠
Cuartil:
Q2 SCImago ℠

Citas Recibidas en Web of Science: 13

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Keywords

  • age-related infertility; ovarian aging; mouse model; oocyte quality; embryo development; mitochondrial function

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