Mood‐Enhancing Antidepressant St. John's Wort Inhibits the Activation of Human Immunodeficiency Virus Gene Expression by Ultraviolet Light
Bibliographic record
Abstract
Ultraviolet (UV) radiation is a potent activator of the human immunodeficiency virus (HIV) gene expression in a HeLa cell clone with stably integrated copies of the HIVcat reporter construct. Recently, we have shown that activation of p38 MAP kinase and NF-kappaB is necessary but not sufficient for triggering efficient HIV gene expression in response to UV. Here we demonstrate that St. John's wort is a potent inhibitor of the UV-induced activation of HIV gene expression in HeLa cells. Stably transfected HIVcat/HeLa cells were preincubated with different amounts (25-100 microl) of St. John's wort or gingko biloba extracts for 30 min, then irradiated with UV (30 J/m2). In contrast to ginkgo biloba, St. John's wort inhibited the UV-induced HIV gene expression in a dose-dependent manner. Furthermore, preincubation with St. John's wort (10, 20, and 30 microl) for 30 min before UV (30 J/m2) irradiation, PMA- and UV-induced NF-kappaB activation was completely blocked, whereas ginkgo biloba did not affect the PMA- and UV-induced NF-kappaB activation in HeLa cells. UV activation of p38 MAP kinase was not inhibited by St. John's wort or by ginkgo biloba. However, we found that p38 MAP kinase and JNK1 and -2 were activated by St. John's wort, but p44/42 MAP kinase was not activated by St. John's wort in HeLa cells. Hypericin an active ingredient in St. John's wort also inhibited the UV activation of HIV gene expression in HeLa cells. These results firmly confirm that St. John's wort is a potent inhibitor of the UV-induced activation of HIV gene expression in HeLa cells.
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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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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".