The microbiota extends the reproductive lifespan by safeguarding the ovarian reserve
Munyoki, S. K.; Goff, J. P.; Reshke, A.; Wilderoter, E.; Mafarachisi, N.; Kolobaric, A.; Sheng, Y.; Mullett, S.; King, G.; DeSchepper, J.; Bookser, R.; Castro, C. A.; Gelhaus, S.; Grizotte-Lake, M.; Morrison, K. E.; Zeleznik, A. J.; Hand, T. W.; Brieno-Enriquez, M.; Jasarevic, E.
Show abstract
Infertility is a devastating condition affecting one in six people globally. In many cases, the underlying causes are unknown. Emerging evidence suggests that the microbiota influences reproduction, yet the mechanistic link between the microbiota, ovarian function, and length of the fertile lifespan remain unexplored. Here we report that the microbiota controls the length of the reproductive lifespan by maintaining the primordial follicle pool, a process mediated by microbiota-derived short chain fatty acids modulating gene regulatory networks crucial for the survival of the ovarian reserve. Dietary perturbation of the microbiota during a critical developmental window is sufficient to diminish the ovarian reserve, reduce oocyte retrieval, and impair preimplantation embryo viability, mirroring challenges in human fertility treatments. Targeted interventions to restore microbiota improve assisted reproductive outcomes, particularly when implemented early. These findings reveal a novel contribution of host-microbe interactions in mammalian reproduction and demonstrate that the microbiota impacts ovarian function and fertility.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Maternal undernutrition exacerbates microbiota-driven growth stunting through pre and postnatal effects 94%
- Integrated Stress Response signaling acts as a metabolic sensor in fat tissues to regulate oocyte maturation and ovulation 93%
- Gestationally-Dependent Immune Organization at the Maternal-Fetal Interface 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.