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Record W4414473756 · doi:10.47363/jgrrr/2025(7)221

Folliculogenesis and Abnormalities

2025· article· en· W4414473756 on OpenAlexaff
Gianluca Raffaello Damiani

Bibliographic record

VenueJournal of Gynecology Research Reviews & Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsFolliculogenesisParacrine signallingFollicular phaseOocyteThecaOvarian follicleAutocrine signallingOogenesis

Abstract

fetched live from OpenAlex

Research on oocytes and their associated follicles has advanced significantly over the past two decades, shedding light on the fragility of the processes governing their active life. The ovarian follicles and the germ cells within them are crucial to understand conception, growth, and survival mechanisms. Folliculogenesis, the process by which ovarian follicles develop, starts with the primordial follicle, which contains oocytes arrested in meiotic division. These follicles are crucial for the ovarian reserve and serve as the sole source of oocytes throughout a woman’s life. Follicle maturation is regulated by a series of biochemical signals involving granulosa and theca cells, as well as hormones like FSH and AMH. This process begins during fetal development and continues until menopause, with primordial follicles being activated and transitioning into primary follicles. Each stage of follicular maturation is linked to meiotic events that drive the oocyte’s progressive development. Despite the continuous loss of primordial follicles, these cells retain autocrine and paracrine factors that regulate their activation, promoting oocyte growth and supporting both spontaneous and assisted reproduction. The early stages of folliculogenesis involve critical signaling pathways and growth factors such as mTOR, PI3K, and Hippo, which regulate follicle development even before gonadotropin involvement. Initially, follicular growth is influenced by local growth factors like activins and AMH, with gonadotropins playing a larger role as the follicle progresses. Follicles develop through four stages—primary, secondary, tertiary, and Graafian—each regulated by intra-ovarian mechanisms. Oocytes also actively contribute to folliculogenesis by secreting growth factors that interact with granulosa and theca cells. As follicles grow, the oocyte is suspended in follicular fluid and surrounded by granulosa cells forming a structure called the corona radiata. Meiosis begins in fetal life but is arrested until puberty when it resumes just before ovulation. However, not all oocytes will be ovulated; many undergo atresia through apoptosis. Abnormalities in signaling pathways or follicle development can lead to reproductive disorders, highlighting the importance of understanding the molecular mechanisms involved in ovarian function.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.439
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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