MétaCan
Menu
Back to cohort
Record W2156915320 · doi:10.1071/rd14096

Insulin regulates primordial-follicle assembly in vitro by affecting germ-cell apoptosis and elevating oestrogen

2014· article· en· W2156915320 on OpenAlexaff
Xin-Lei Feng, Yuan-Chao Sun, Min Zhang, Shun‐Feng Cheng, Yanni Feng, Jing‐Cai Liu, Honghui Wang, Lan Li, Guo‐Qing Qin, Wei Shen

Bibliographic record

VenueReproduction Fertility and Development · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsManitoba HydroResearch Manitoba
Fundersnot available
KeywordsFolliculogenesisInternal medicineBiologyEndocrinologyOvaryApoptosisInsulinFollicleIn vitroGerm cellOocyteOvarian follicleCell biologyAndrologyEmbryoEmbryogenesisMedicine

Abstract

fetched live from OpenAlex

Insulin is a protein secreted by pancreatic β-cells, which plays an important role in the regulation of ovarian function. However, the specific molecular mechanism of its function remains largely unknown. This study aimed to assess the effect of insulin on mouse folliculogenesis using an in vitro ovary-culture model. The results demonstrated that insulin promoted the proliferation of ovarian granulosa cells in vitro, and thereby accelerated the progress of folliculogenesis (the percentage of oocytes in cysts declined from 42.6% to 29.3%); however, the percentage of apoptotic oocytes increased after insulin treatment. Further investigation indicated that apoptosis occurred mainly in germ-cell cysts. After 3 days of insulin treatment, oestrogen in the culture medium of mouse ovaries significantly increased (P<0.01), while the lower dose of oestrogen promoted primordial-follicle assembly in vitro. In conclusion, insulin promoted folliculogenesis by facilitating germ-cell apoptosis within the cysts and upregulating oestrogen levels.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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 designBench or experimental
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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueReproduction Fertility and DevelopmentSame topicReproductive Biology and FertilityFrench-language works237,207