Evidence map›Paper›PMID 40886429›Full record

ReviewSeminars in cell & developmental biology2025

Biophysical, cellular, and mouse model approaches to investigate the mechanical regulation of folliculogenesis.

Sara Pietroforte, Farners Amargant

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sara PietroforteDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA.
Farners AmargantDepartment of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: farners@wustl.edu.

Funding

Mechanotransduction mechanisms of ovarian agingR00HD108424 · NICHD · WASHINGTON UNIVERSITY · PI AMARGANT I RIERA, FARNERS · 2023 to 2025
$630k
NICHD NIH HHS R00 HD108424
6 · The paper itself

Abstract

Folliculogenesis, which is the process by which ovarian follicles develop to support oogenesis and hormone production, is essential for female fertility. Although hormonal and biochemical signaling pathways regulating folliculogenesis have been extensively studied, increasing evidence suggests that mechanical cues within the ovary also play a critical role. The ovary is composed of follicles, corpora lutea, and stroma, each contributing to a biomechanical microenvironment that might change across the reproductive lifespan. Additionally, the spatial organization of the ovary, with a collagen-rich cortex and a softer medulla, may influence follicle activation and growth. This review explores the hypothesis that mechanical properties of the ovary regulate folliculogenesis, integrating current knowledge on ovarian architecture, extracellular matrix composition, and mechanotransduction pathways. We highlight recent findings supporting mechanical regulation of folliculogenesis, discuss contradictory data, and describe the tools and models used to investigate this concept. By considering mechanical forces alongside hormonal and biochemical signals, we propose a more integrated view of the factors governing follicle development, with implications for understanding ovarian physiology and pathology.

Indexed as

Mechanotransduction, CellularOvarian FollicleAnimalsBiomechanical PhenomenaExtracellular MatrixFemaleHumansMiceModels, AnimalOogenesisBiomechanicsFolliculogenesisMechanotransductionOocyte qualityOvary

Identifiers

PMID40886429
PMCPMC13060751

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.