St. John's wort relieves pain in an animal model of migraine
Bibliographic record
Abstract
BACKGROUND: Despite the substantial improvement that antimigraine drugs brought to migraineurs, there is the need for a long-acting and better tolerated migraine treatment than actual pharmacotherapy. St. John's wort (SJW), a medicinal plant endowed with a favourable tolerability profile, showed numerous bioactivities. We here investigated the pain-relieving property of SJW and its main components, hypericin and flavonoids, in a mouse model induced by nitric oxide (NO) donors administration. METHODS: The NO donors nitroglycerin and sodium nitroprusside (SNP) induced allodynia (cold plate test) and hyperalgesia (hot plate test). Western blotting experiments were performed to detect c-Fos and protein kinase C (PKC) expression within periaqueductal grey matter (PAG). RESULTS: A single oral administration of an SJW dried extract (5 mg/kg p.o.) produced a prolonged relief from pain hypersensitivity. Similarly, preventive SJW administration increased the latency to the induction of hyperalgesia and reduced the duration of the painful symptomatology. Among SJW main components, hypericin showed a similar profile of activity, whereas flavonoids were devoid of any antihyperalgesic effect. To clarify the cellular pathways involved in the SJW mechanism of action, we examined the effects induced by the herbal drug on PKC. NO donors' administration upregulated and increased phosphorylation of PKCγ and PKCε isoforms within PAG that was prevented by SJW treatment. The absence of behavioural side effects or altered animals' locomotor activity by SJW was demonstrated. CONCLUSIONS: These results suggest SJW as a safe therapeutic perspective for migraine pain, and indicate PKC as an innovative target for antimigraine therapy.
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 | 0.013 | 0.001 |
| 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) | 0.000 | 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".