Mapping fertility decline: a 3D tomographic reconstruction of the mouse ovary during aging
Description: In the field of female infertility, a growing problem affecting up to 15-20% of couples worldwide, an understanding of folliculogenesis and oocyte maturation within the ovary is critical. The mammalian ovary undergoes continuous histological reorganization from infancy to aging, with the follicle being the fundamental functional unit that determines the maturation and developmental competence of the female gamete. Recent advances in imaging techniques coupled with computational power have enabled the creation of in silico 3D organ models that integrate spatial and functional information of structures, cells, genes and proteins. While previous studies have attempted 3D imaging of the ovary using confocal techniques, limitations in generating accurate z-axis representations prompted our use of micro-computed tomography (micro-CT). Our pioneering work has successfully mapped follicle types and the ovarian vasculature in a true 3D format, paving the way for a better understanding of the internal architecture of the ovary and the exploration of its cellular and subcellular intricacies. Together with Dr. Fiorentino's expertise in developmental and reproductive biology and our strengths in imaging and interdisciplinary research, we aim to create a comprehensive functional model of the mammalian ovary that integrates spatial and temporal dynamics.Specifically, the proposed activities during this research visit will focus on investigating the 3D organization of mouse ovarian follicles at different aging intervals, capturing the gradual decline in organ activity. By collecting and analyzing data from aged ovaries, we aim to reveal changes in structural architecture, follicle distribution, vascular relationships, and age-dependent folliculogenesis activation processes. These investigations correspond to key milestones in human fertility and its decline, providing a critical link between our findings and human reproductive dynamics.Our partnership, with Dr. Fiorentino as a visiting scientist at Empa's Center for X-ray Analytics, represents an opportunity for mutual enrichment. By leveraging her expertise in reproductive biology and our capabilities in imaging and analysis, we aim to deepen our collective quest to understand ovarian aging. This collaboration represents an exchange of knowledge and resources, fostering continued progress toward common goals and setting the stage for impactful collaborations.
Amount: CHF 3,250
Funding type: grant
Funder scheme: Scientific Exchanges
Start date: 2024-05-01
End date: 2024-05-31
Investigator: Parrilli, Annapaola
Institution: Swiss Federal Laboratories for Materials Science and Technology – EMPA
Field: Medicine
Domain: Health Sciences
Funded outputs count: 1
Funder award ID: 224198
OpenAlex ID: G2984111153