Cellular Localization of Gonadotropin-Releasing Hormone (GnRH) I and GnRH II in First-Trimester Human Placenta and Decidua
Bibliographic record
Abstract
There is increasing evidence to suggest that the classical form of GnRH (GnRH I) and the second mammalian form of this hormone, GnRH II, play regulatory roles in human implantation and placentation. To date, the cellular distribution of these two hormones at the maternal-fetal interface remains poorly characterized. In these studies, we localized GnRH I and GnRH II expression in human placenta and decidua to distinct subpopulations of cells isolated from these tissues and in a chorionic villous/decidual tissue coculture system that mimics many of the cellular events of early placentation. GnRH I and GnRH II mRNA transcripts were detected in first-trimester placenta, whereas only GnRH I was detected in tissues obtained at term. Both hormones were further immunolocalized to the mononucleate villous and distinct subpopulations of extravillous cytotrophoblasts of the placenta in vivo and in vitro. In contrast, GnRH I but not GnRH II was expressed in the outer multinucleated syncytial trophoblast layer of first trimester chorionic villi and in cultures of villous cytotrophoblasts allowed to undergo differentiation and fusion in vitro. GnRH I and GnRH II were also found to be coexpressed in first-trimester decidua and primary cultures of decidual stromal cells. Collectively, these observations demonstrate that GnRH I and GnRH II have both common and discrete cellular distributions in the placenta and decidua and suggest that these two hormones are capable of eliciting their biological actions in an autocrine and/or paracrine manner within and between these maternal and fetal cellular compartments.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".