The Aqueous Extract of Cocos nucifera L. (Arecaceae) Effectively Treat Induced Anemia. Experimental Study on Wistar Rats
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Bibliographic record
Abstract
<p class="1Body">Anaemia is a serious public health problem especially in developing countries as Benin. <em>Cocos nucifera</em> is one of medicinal plants used in Benin to treat anemia. This study aimed to test its therapeutic efficacy in anemia treatment. <strong>Method:</strong> Five groups of five <em>Wistar</em> rats each were formed. The rats of four groups were rendered anemic by injection of phenylhydrazine (hemolysis) in the first two days D0 and D1. From the second to the fifteenth day (D2 to D15), anemic groups were gavaged either by the aqueous extract of <em>Cocos nucifera</em> at 200 or 300 mg / kg body weight/day, or by vitafer, a reference drug against anemia. The last anemic group was not treated. The group of non-anemic rats served as a control. Blood samples were collected for all rats on days D0, D2, D7, D10 and D15 to assess blood count and osmotic resistance of red blood cells. <strong>Results:</strong> The phytochemical analysis revealed the presence of tannins, flavonoids, leucoanthocyanes, steroids, quinone derivatives, reducing compounds and mucilage. The extract like the vitafer corrected completely anemia before two weeks by stimulating hemoglobin synthesis, production and early release of immature red cells in the blood stream. Its effect was dose dependent, quite specific and did not affect platelet lineage. <strong>Conclusion:</strong> <em>Cocos nucifera</em> has a good therapeutic efficacy and may be considered for transformation into improved traditional medicines (ITM) after study of its biological tolerance and appropriate clinical trials.</p>
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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 | 0.000 | 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 it