Monoammonium glycyrrhizate suppresses tumor necrosis factor-α induced chemokine production in HMEC-1 cells, possibly by blocking the translocation of nuclear factor-κB into the nucleus
Bibliographic record
Abstract
Monoammonim glycyrrhizate (MAG) derived from licorice has been shown to have anti-inflammatory properties. Chemokines are vital inflammatory mediators that are involved with endothelial damage from leukocyte infiltrates in various inflammatory skin diseases. In this study, we investigated the anti-inflammatory effects and mechanisms of MAG on tumor necrosis factor-α (TNF-α) induced chemokine production in a human dermal microvascular endothelial cell line (HMEC-1). HMEC-1 cells were treated with TNF-α, with or without MAG. The results showed that MAG suppressed TNF-α-induced chemokine (including CXCL8, CX3CL1, and CXCL16) mRNA expression in HMEC-1 cells, in a dose-dependent manner, and reduced the secretion of these chemokines in culture supernatant. Moreover, endothelial activation in the presence of MAG blocked the chemotactic activities of TNF-α-stimulated HMEC-1 cell supernatant on the migration of primary neutrophils and primary monocytes. In addition, Western blot and immunofluorescence data revealed that MAG inhibited nuclear translocation of nuclear factor-κB p65 (NF-κB p65). It is the first report to demonstrate that MAG suppresses TNF-α-induced chemokine production in HMEC-1 cells, and that the mechanism may be inhibiting the translocation of NF-κB p65 into the nucleus to prevent the starting of inflammatory signaling pathway. Our results revealed that MAG is a potential anti-inflammatory agent capable of improving inflammatory skin diseases.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".