Human Chorionic Gonadotropin Regulates Endothelial Cell Responsiveness to Interleukin 1 and Amplifies the Cytokine‐Mediated Effect on Cell Proliferation, Migration and the Release of Angiogenic Factors
Bibliographic record
Abstract
PROBLEM: Successful embryonic implantation requires an appropriate communication network between the embryo and its near environment within the implantation site. Herein, we examined whether human chorionic gonadotropin (hCG), the major embryonic signal, targets endothelial cells and regulate their responsiveness to interleukin 1 (IL1), one of the earliest signals released by embryonic cells. METHOD OF STUDY: Human microvascular endothelial cell proliferation and migration following exposure to various concentrations of hCG and/or IL1B for different time periods were analyzed by BrdU incorporation and wound healing assays. The expression of soluble (s) and membrane-bound (mb) IL1 receptors (IL1Rs), IL1R antagonist (IL1RN), luteinizing hormone/choriogonadotropin receptor (LHCGR), and IL8 was determined by real-time PCR, Western blot, and ELISA. RESULTS: Cell proliferation and migration increased in response to IL1B and further in the presence of hCG. IL1B up-regulated both the signaling IL1R1 and the inhibitory IL1R2, while adding hCG further increased IL1R1 and significantly downregulated IL1R2. This translated into an increased secretion of IL8, which was inhibited in cells where IL1R2 was overexpressed. CONCLUSIONS: These findings reveal a new mechanism by which hCG may target endothelial cells to directly stimulate angiogenesis and favor embryonic growth.
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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".