MétaCan
Menu
Back to cohort
Record W1948609303 · doi:10.1093/biolreprod/81.s1.556

Regulation of Fibroblast Growth Factor 22 and Fibroblast Growth Factor Receptor 1b in Bovine Antral Follicles.

2009· article· en· W1948609303 on OpenAlexaff
J. Buratini, A. C. S. Castilho, Mariana Fernandes Machado, Ester Siqueira Caixeta, Diego Marcondes Guerra, Christopher A. Price

Bibliographic record

VenueBiology of Reproduction · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicKruppel-like factors research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiologyAntral follicleFolliculogenesisInternal medicineThecaFollicleEndocrinologyFGF10Fibroblast growth factorFollicular phaseFollicular fluidOvarian follicleAndrologyReceptorOocyteCell biologyEmbryoEmbryogenesis

Abstract

fetched live from OpenAlex

Fibroblast growth factors (FGF) are grouped into several FGF families according to structural and functional properties, and play a number of different physiological roles including regulation of folliculogenesis. Two of the three members of the FGF7 family (FGF7, 10 and 22) were previously assessed in the follicle; FGF7 and 10 were principally located in theca cells (TC) and inhibited estradiol production from granulosa cells (GC). FGF10 expression was lowest in atretic follicles and was negatively correlated with estradiol secretion in transitional and healthy follicles, whereas FGF7 expression appears not to be developmentally regulated in the follicle. This family acts through receptors FGFR2B, which is principally expressed by GC of healthy estrogenic follicles, and FGFR1B. The first aim of this study was to determine the spatial and temporal patterns of FGF22 and FGFR1B mRNA expression in bovine antral follicles. As FGF22 and FGFR1B expression was altered by follicle status, we then used culture studies to assess regulation of gene expression by gonadotropins and IGF1 in GC and TC. Antral follicles greater than 5mm in diameter were dissected from abattoir ovaries, GC and TC separated and total RNA extracted. Estradiol (E) and progesterone (P) concentrations of the follicular fluid were measured by RIA and follicles were grouped according to E:P ratios of <0.01 (atretic, n=15), 0.01-1 (transitional, n=13) and >1 (healthy, n=15). Cumulus-oocyte complexes (COCs) were aspirated from morphologically healthy follicles grouped by size (1-3, 3.1 to 6, 6.1 to 8 and >8mm; n=4); oocytes and cumulus cells were separated and total RNA extracted from pools of each cell type obtained from 20 COCs. Effects of FSH and IGF1 on GC gene expression and effects of LH on TC gene expression were tested; GC and TC from small follicles (2-5 mm) were cultured in serum-free medium with either FSH (0, 0.05, 0.1, 0.5 or 1 ng/ml), IGF1 analog (0, 5, 10, 50 or 100ng/ml) or LH (0, 1, 10, or 100 ng/ml). Expression of FGF22 and FGFR1B mRNA was assessed by real time RT-PCR using bovine-specific primers and GAPDH, PP1A and H2AFZ as endogenous controls. Relative expression was determined by the Pfaffl equation. FGF22 and FGFR1B mRNA was detected in TC, GC and cumulus cells but not in oocytes. Expression of both target genes was higher in atretic follicles compared with transitional and healthy follicles (P< 0.01), and did not vary with follicle size in cumulus cells. In GC, IGF1 inhibited FGF22 and FGFR1B expression at 5 and 10ng/ml, respectively (P<0.05), but FSH did not alter mRNA abundance. In TC, LH increased FGFR1B expression at 100 ng/ml (P=0.01), but did not change FGF22 expression. In conclusion, expression of both FGF22 ligand and receptor is increased in atretic follicles and is inhibited by IGF1 in GC from healthy follicles. Unlike the other members of the FGF7 family, FGF22 appears to play a specific role in the control of follicle atresia through activation of FGFR1B. Supported by FAPESP. (poster)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.294
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.013
GPT teacher head0.264
Teacher spread0.252 · 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 teacher head, 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBiology of ReproductionSame topicKruppel-like factors researchFrench-language works237,207