ArticlePeerJ2022
Recapitulating human ovarian aging using random walks.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- The human ovarian reserve: the narrative and the science.Human reproduction update · 2026Review
- Evaluating Selective Quality Control in Mammalian Oogenesis: Evidence and Opportunities.Annual review of genetics · 2025Review
- Engineering strategies and challenges in building the follicular microenvironment for a bioprosthetic ovary.Best practice & research. Clinical obstetrics & gynaecology · 2025Review
- Modeling the extension of ovarian function after therapeutic targeting of the primordial follicle reserve.Human reproduction update · 2025Review
- Non-coding RNA-mediated granulosa cell dysfunction during ovarian aging: From mechanisms to potential interventions.Non-coding RNA research · 2025Review
- Stochastic analysis of human ovarian aging and menopause timing.Biophysical journal · 2025Article
- Modeling delay of age at natural menopause with planned tissue cryopreservation and autologous transplantation.American journal of obstetrics and gynecology · 2024Article
- Mathematical recapitulation of the end stages of human ovarian aging.Science advances · 2024Article
- Making a good egg: human oocyte health, aging, and in vitro development.Physiological reviews · 2023Review
- Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanism(s) that control whether individual human primordial ovarian follicles (PFs) remain dormant, or begin to grow, are all but unknown. One of our groups has recently shown that activation of the Integrated Stress Response (ISR) pathway can slow follicular granulosa cell proliferation by activating cell cycle checkpoints. Those data suggest that the ISR is active and fluctuates according to local conditions in dormant PFs. Because cell cycle entry of (pre)granulosa cells is required for PF growth activation (PFGA), we propose that rare ISR checkpoint resolution allows individual PFs to begin to grow. Fluctuating ISR activity within individual PFs can be described by a random process. In this article, we model ISR activity of individual PFs by one-dimensional random walks (RWs) and monitor the rate at which simulated checkpoint resolution and thus PFGA threshold crossing occurs. We show that the simultaneous recapitulation of (i) the loss of PFs over time within simulated subjects, and (ii) the timing of PF depletion in populations of simulated subjects equivalent to the distribution of the human age of natural menopause can be produced using this approach. In the RW model, the probability that individual PFs grow is influenced by regionally fluctuating conditions, that over time manifests in the known pattern of PFGA. Considered at the level of the ovary, randomness appears to be a key, purposeful feature of human ovarian aging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.