Garlic-Derived Allicin Modulates Expression of the SARS-CoV-2 Spike Receptor-Binding Domain in Human Splenic Fibroblasts
Bibliographic record
Abstract
Abstract Allicin, a natural sulfur-rich compound, is formed when garlic is crushed or chopped. It has been used for centuries as a natural defence against bacteria and fungi. However, we do not fully understand how well it works against viruses, such as SARS-CoV-2. In this study, we investigated the effect of allicin on the expression of the SARS-CoV-2 receptor-binding domain of the spike protein in human primary splenic fibroblasts. These cells were transfected with a plasmid encoding RBD-S protein fused to a superfolder green fluorescent protein (sfGFP), a bright, stable marker. When cells were treated with 50□µM allicin, either 30 min before or 6 h after transfection, a pronounced drop in fluorescence was observed, indicating reduced spike protein expression. Interestingly, the cell morphology, growth, and behavior remained normal, indicating that allicin could minimize spike protein levels without being toxic to the cells. These results open the door to the use of allicin as a gentle, natural antiviral agent and raise critical questions regarding the regulation of protein expression after transcription. Further research is required to understand these effects better.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".