Macaranga barteri stem bark extract exerts anti-inflammatory and anti-hyperalgesia activity in murine models
Bibliographic record
Abstract
This study was undertaken to evaluate the anti-inflammatory, anti-hyperalgesia and antioxidant activity of the hydro-alcoholic stem bark extract of Macaranga barteri (MBE). The carrageenan-induced foot oedema and Hargreaves thermal hyperalgesia models in rats were used to examine the anti-inflammatory and anti-hyperalgesic effects respectively. The 2, 2-diphenyl-2-picrylhydrazyl hydrate (DPPH) free radical scavenging and total antioxidant capacity assays were used to determine the antioxidant activity. In a curative protocol, MBE (30, 100, 300 mg kg-1, p.o.) dose dependently and significantly inhibited carrageenan-induced foot oedema by 37.01 ± 13.08, 53.01 ± 9.87 and 64.11 ± 9.05% respectively (ED50 = 89.37 ± 7.52 mg kg-1). The extract further attenuated cutaneous hyperalgesia by prolonging paw withdrawal latencies towards an external heat stimulus with an ED50 of 105.5 ± 4.22 mg kg-1. MBE was found to possess a total antioxidant capacity of 531.62 ± 10.98 mg g-1 dry weight (Gallic acid equivalent) and scavenged DPPH free radicals with an IC50 of 19.45 ± 1.46 µg/mL. The results provide the first report on the anti-inflammatory, analgesic and antioxidant activity of M. barteri stem bark and partly justify its traditional use in the management of inflammation and pain. This could be attributed to phytochemicals such as tannins, terpenoids, sterols, coumarins and flavonoids which were identified in preliminary phytochemical studies of the stem bark.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".