*(N Monferini and P Dey contributed equally to this work)
Preantral follicles constitute the largest follicle reserve in the mammalian ovary. This study assesses a mechanical isolation method to maximize the number of follicles retrieved from a defined cortex volume.
Primordial, primary, and secondary follicles (collectively defined as preantral follicles) constitute the most abundant source of gametes inside the mammalian ovarian cortex. The massive isolation of preantral follicles and the refinement of stage-specific protocols for in vitro follicle growth would provide a powerful tool to boost the rescue and restoration of fertility in assisted reproduction interventions in human medicine, animal breeding, and vulnerable species preservation. Nevertheless, together with an efficient culture system, the most significant limitation to implementing in vitro follicle growth is the lack of an efficient method to isolate viable and homogeneous subpopulations of primordial, primary, and secondary follicles suitable for in vitro culture. Our study provides a strategy for high-yielding mechanical isolation of primordial, primary, and early secondary follicles from a limited portion of the ovarian cortex in the bovine animal model. In the first part of the study, we refined a mechanical isolation protocol of preantral follicles, adopting specific methodological strategies to separate viable and distinct subpopulations of primordial (oblate and prolate forms), primary, and early secondary follicles from 0.16 cm3 of the ovarian cortex. In the second part of the study, we tested the effectiveness of the isolation protocol, considering the individual’s age as a critical factor, bearing in mind the progressive decrease in the ovarian reserve that naturally accompanies the reproductive life span. Our study provides a way for designing quantitative and conservative fertility preservation approaches to preserve organ function and minimize the invasiveness of the interventions, also considering age-related differences.
Reproduction is committed to supporting researchers in demonstrating the impact of their articles published in the journal.
The two types of article metrics we measure are (i) more traditional full-text views and pdf downloads, and (ii) Altmetric data, which shows the wider impact of articles in a range of non-traditional sources, such as social media.
More information is on the Reasons to publish page.
| Sept 2018 onwards | Past Year | Past 30 Days | |
|---|---|---|---|
| Full Text Views | 209 | 209 | 4 |
| PDF Downloads | 271 | 271 | 4 |
Online ISSN: 1741-7899
Print ISSN: 1470-1626
Strengthening biomedical communities
to advance science and health
CONTACT US
Bioscientifica Ltd | Starling House | 1600 Bristol Parkway North | Bristol BS34 8YU | UK
Bioscientifica Ltd | Registered in England no 3190519
