Lithium Chloride Increases COX-2 Expression and PGE2 Production in a Human Granulosa-Lutein SVOG Cell Line Via a GSK-3β/β-Catenin Signaling Pathway
Bibliographic record
Abstract
Lithium chloride (LiCl) is widely prescribed for the treatment of bipolar disorders and is associated with a higher incidence of reproductive adverse effects. Cyclooxygenase (COX)-2 and its derivative, prostaglandin E2 (PGE2), play regulatory roles in the human ovulatory process. Whether LiCl affects ovulation by regulating COX2 expression and PGE2 production in the human ovary is still largely unknown. The aim of this study was to investigate the effect of LiCl on the expression of COX-2 and production of PGE2 in human granulosa-lutein (hGL) cells, as well as the mechanisms underlying this effect. Both immortalized and primary hGL cells were used as research models. Using dual inhibition approaches, our results show that LiCl initiates the hGL cellular action by inhibiting the activity of glycogen synthase kinase-3β [GSK-3β (phosphorylation of GSK-3β)] and activation of extracellular signal-regulated kinase 1/2 (ERK1/2), but not by affecting protein kinase B or cAMP response element binding protein signaling. Additionally, the phosphorylation of GSK-3β, but not ERK1/2, resulted in the stabilization and nuclear localization of β-catenin. Furthermore, knockdown of either β-catenin or GSK-3β reversed the LiCl-induced upregulation of COX-2 expression. These results indicate that LiCl upregulates the expression of COX-2 and the subsequent production of PGE2 through the canonical GSK-3β/β-catenin signaling pathway in hGL cells.
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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".