Cytotoxic Activity of the New Molecular Complex DHMEQ and Ammonium Glycyrrhizinate
Bibliographic record
Abstract
Objective: This study aimed to investigate the cytotoxic activity of a new molecular complex consisting of DHMEQ and ammonium glycyrrhizinate, as well as its effect on the transcription factor NF-κB. Cytotoxicity was assessed using the PrestoBlue® viability assay in HEK293, A-549, and MCF-7 cell lines. NF-κB inhibition was evaluated via a luciferase reporter assay in HEK293 cells. The complex was prepared at a 1:4 molar ratio (DHMEQ:ammonium glycyrrhizinate), and its structure was confirmed using spectroscopic methods and electron microscopy. Statistical analysis was performed using one-way ANOVA followed by Dunnett’s post hoc test. Results: DHMEQ demonstrated high cytotoxic activity (IC50 = 13.82 ± 3.71 µM in HEK293 cells). The DHMEQ/ammonium glycyrrhizinate complex maintained comparable activity (IC50 = 10.39 ± 1.84 µM for HEK293) but showed reduced efficacy against A-549 and MCF-7 tumor cells. DHMEQ strongly inhibited NF-κB activity (IC50 = 0.83 ± 0.51 µM), while the complex required significantly higher concentrations (IC50 = 21.79 ± 6.24 µM) to achieve a similar inhibitory effect. Conclusion: The DHMEQ–ammonium glycyrrhizinate complex preserved the main biological properties of DHMEQ while improving its solubility and stability. This approach shows potential for developing DHMEQ-based drug formulations targeting NF-κB, but further optimization and in vivo validation are required before clinical application.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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".