The components of the angiotensin-(1-7) system are differentially expressed during follicular wave in cattle
Bibliographic record
Abstract
INTRODUCTION: This study was based on the hypothesis that some components of the angiotensin-(1-7) (Ang-(1-7)) system are differentially expressed during follicular development and can be involved in the follicular health/atresia transition in bovine. MATERIAL AND METHODS: The largest (F1) and second largest follicles (F2) were collected from cows before (Day 2), during (Day 3), or after (Day 4) the expected moment of follicular deviation. In the second experiment, F1 was induced to atresia through intrafollicular injection of fulvestrant (estrogen receptor-antagonist) and, in both experiments, mRNA expression of the Mas receptor, ACE2, NEP, and PEP was evaluated in the granulosa and theca cells. RESULTS: The mRNA expression of Mas receptor was upregulated in the granulosa cells of F2 after the establishment of follicular deviation, while PEP mRNA increased during and after the deviation process. The mRNA expression of ACE2 was upregulated in the granulosa cells of F1 during and after the follicular deviation. The mRNA expression of NEP was not regulated in F1 and F2. Mas receptor expression increased in the F1 induced to atresia. CONCLUSIONS: mRNA for Mas receptor, ACE2, and PEP are differentially expressed in granulosa cells throughout follicular development and the Mas receptor can be involved with the establishment of follicular dominance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".