MétaCan
Menu
Back to cohort
Record W2596055789 · doi:10.1093/biolreprod/81.s1.559

Effect of Angiotensin II on Bovine Follicular Growth and mRNA Encoding Steroidogenic Enzymes, Gonadotrophin Receptors, and Tissue Development Genes.

2009· article· en· W2596055789 on OpenAlexaff
Rogério Ferreira, Bernardo Garziera Gasperin, Monique Tomazele Rovani, Joabel Tonellotto dos Santos, Alfredo Quites Antoniazzi, Gustavo Zamberlam, João Francisco Coelho de Oliveira, Christopher A. Price, Paulo Bayard Dias Gonçalves

Bibliographic record

VenueBiology of Reproduction · 2009
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité de MontréalCegep de Saint Hyacinthe
Fundersnot available
KeywordsFollicular phaseInternal medicineEndocrinologyAngiotensin IIBiologyOvulationOvarian follicleFollicular fluidOocyteHormoneCell biologyMedicine

Abstract

fetched live from OpenAlex

Angiotensin II (AngII) has been shown to be involved in the regulatory mechanism of ovulation and oocyte nuclear and cytoplasmic maturation in cattle. In rats, AngII induces apoptosis in granulosa cells and atresia of antral follicles during follicular development. However, the angiotensin converting enzyme (ACE) mRNA expression increases at the end of follicular maturation, suggesting a possible modulatory role of AngII for ovulation in cows. In addition, the expression of AngII type 2 receptors (AGTR2) is higher in healthy than in atretic follicles and, in vitro, is stimulated by FSH in bovine granulosa cell culture. Based on this evidence, this study was carried out to establish the role of AngII during the follicular growth and the effect of AngII inhibition on steroid secretion and follicular cell gene expression profile. Cows were pre-synchronized to induce a new follicular wave and the largest follicle was injected with saralasin (AngII inhibitor; 10μM), AngII (10μM) or saline when it reached 7-8mm diameter. The intrafollicular injections were performed through a double-needle system and guided by a 7.5 MHz vaginal ultrasound probe. All follicles were monitored by ultrasonography for 96 hours after intrafollicular injection. Follicles injected with saline (control group) reached ovulatory size and ovulated after a challenge with the GnRH agonist gonadorelin, demonstrating that the intrafollicular injection did not affect follicular growth. Saralasin inhibited follicular growth in all treated cows (4/4), suggesting that AngII is essential for follicular growth in 7-8mm follicles. However, intrafollicular injection of AngII affected neither follicular growth nor the pattern of follicular dynamics, which were similar to control cows. These results imply that bovine ovarian follicles contain sufficient AngII for follicle development. In a second experiment, a single follicle of each cow was injected with saralasin or saline and cows were ovariectomized 24h later. The follicular fluid was aspirated to determine steroid concentrations, and granulosa and theca cells were recovered for gene expression measurement. Estradiol concentration in follicular fluid was determined by radioimmunoassay. Messenger RNA levels were analyzed by real-time RT-PCR and are expressed relative to cyclophilin. The inhibition of AngII action decreased abundance of mRNA encoding aromatase (CYP19), 3β-hydroxysteroid dehydrogenase (3β HSD), LH receptor, SerpinE2 and cyclinD2 in granulosa cells but not StAR, 17β HSD, FSH receptor, growth arrest and DNA damage inducible (GADD45b) or X-linked inhibitor of apoptosis protein (XIAP). In theca cells, the inhibition of AngII decreased the expression of AGTR2 but not the expression of steroidogenic enzymes genes. Taken together, these results show that AngII is essential for follicular growth, and plays important role in regulating genes involved in granulosa cell proliferation and differentiation, which are necessary for development of the dominant follicle. These data suggest that AngII signaling is involved in follicle growth and dominance in cattle. (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)0.001
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 score0.232
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.263
Teacher spread0.250 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBiology of ReproductionSame topicReproductive Biology and FertilityFrench-language works237,207