Flavonoid-lnduced Gastroprotection in Rats: Role of Blood Flow and Leukocyte Adherence
Bibliographic record
Abstract
To elucidate the mechanisms of flavonoid-induced protection against nonsteroidal anti-inflammatory drug (indomethacin)-induced acute gastric damage, the effects of 5-methoxyflavone and 5-methoxyflavanone on the gastric vasculature were compared both in vivo (using laser Doppler flowmetry in anesthetized rats) and in vitro on rat superior mesenteric arteries. The effects of the compounds on indomethacin-induced leukocyte adherence to mesenteric venules were investigated by intravital videomicroscopy. Oral 5-methoxyflavone reduced indomethacin-induced macroscopic damage by 38 to 99% (ED50 = 5.5 mg/kg). Damage was not significantly reduced by 5-methoxyflavanone. Light microscopy studies also demonstrated a reduction in damage severity. 5-Methoxyflavone, but not 5-methoxyflavanone, increased the gastric conductance significantly. The effects on isolated mesenteric arteries correlated with the effects on in vivo conductance. Finally, indomethacin-induced leukocyte adherence was inhibited to a greater extent by 5-methoxyflavone than by 5-methoxyflavanone. In conclusion, the flavonoid 5-methoxyflavone provides gastroprotection against nonsteroidal anti-inflammatory drug-induced gastric damage. A structurally similar compound, 5-methoxyflavanone, demonstrated minimal gastroprotective activity, suggesting that the double bond of 5-methoxyflavone is required for biological activity. The finding that 5-methoxyflavone (but not 5-methoxyflavanone) significantly increased gastric vascular perfusion and reduced leukocyte adherence to mesenteric venules suggests that these mechanisms may contribute to the flavonoid's gastroprotective activity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".