Molecular mechanism of feedback regulation of 17β-estradiol on two <i>kiss</i> genes in the protogynous orange-spotted grouper (<i>Epinephelus coioides</i>)
Bibliographic record
Abstract
Kisspeptins are considered critical regulators in the hypothalamic-pituitary-gonadal axis because they can stimulate secretion of Gonadotropin-releasing hormone in mammals, and may also mediate the feedback regulation of sex steroids in the hypothalamus. Two kiss1 paralogues (kiss1 and kiss2) were identified in teleosts, hinting at their increased complexity of signaling for sex-steroid feedback regulation. In the present study, molecular pathways by which 17β-estradiol (E2) exerted feedback regulation on two kiss genes, via three types of estrogen receptors, were investigated in the protogynous orange-spotted grouper (Epinephelus coioides). kiss2 expression in the brain significantly increased in ovariectomized orange-spotted groupers, while E2 replacement in ovariectomized fish reversed these changes to levels in the sham-surgery group; conversely, kiss1 expression did not change. Dual-label in situ hybridization showed that kiss1 and kiss2 neurons express erα, erβ1, and erβ2, indicating that E2 may directly regulate kiss1 and kiss2. Indeed, E2 treatment of transiently transfected HEK293T cells decreased the activity of both kiss promoters in the presence of erβ1 and erβ2 rather than erα. Further deletion and site-directed mutagenesis of the kiss promoters indicated that kiss1 is regulated by E2 via an estrogen-responsive element (ERE)-dependent, classical pathway utilized by Erβ1, as well as via an Activator protein 1 (Ap1)-dependent, non-classical pathway utilized by Erβ2. kiss2 was also differently regulated by E2 through the Creb transcription factor, utilized by Erβ1 as well as a half-ERE-dependent, classical pathway utilized by Erβ2. Taken together, multiple signaling pathways in orange-spotted grouper are clearly involved in the feedback regulation of E2 on kiss genes via different estrogen receptors.
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 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".