Evaluation of the Anti-Sickle Cell Activity of Uvaria Chamea P. Beauv. Roots Aqueous Extract
Bibliographic record
Abstract
Sickle cell disease was a very common hemoglobinosis in tropical countries. Several plants were used in traditional Beninese medicine to relieve sickle cell crises. The present work was carried out to test the efficiency of Uvaria chamea roots aqueous extract in the treatment of sickle cell crises. Methods: Uvaria chamea roots aqueous extract was preincubated at different concentrations with blood cells from SS red blood cells before or after the Emmel Test. Intra-erythrocyte oxidative stress was measured by methaemoglobin assay after incubation of the extract with hemoglobin. In vivo, the action of the extract on Hemoglobin level, Mean Corpuscular Volume, and platelet count was measured in Wistar rats. Results: The extract significantly prevented the formation of sickle cells at doses of 40 and 20 mg / ml of blood (P <0.05) and significantly reduced sickle cells to the normal biconcave form at the dose of 40 mg / ml (P <0.05). It lowered the production of methemoglobin at a dose of 10 mg / ml, suggesting antioxidant activity. Hemoglobin level, Mean Corpuscular Volume, and platelet count did not significantly increase in treated rats, indicating that the extract did not stimulate erythropoiesis or thrombopoiesis. Conclusion: Uvaria chamea extract inhibited dose-dependent sickling of red blood cells. It reduced intraerythrocyte oxidative stress but did not show hematopoietic activity. It could therefore be considered in the preventive or curative management of sickle cell crises, but not against anemia.
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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) | 0.000 | 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 | 0.000 |
| 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".