Animals used
Male and female Wistar rats having 8 to 12 weeks old and weighing between 100 and 150 g were used. These animals came from the Applied Biomedical Sciences Institute of University of Abomey-Calavi. These animals were acclimatized to the conditions of the animal house for a week before experiments.
Plants used
The whole plants of Euphorbia hirta (E. hirta) and Heterotis rotundifolia (H. rotundifolia) and the leaves of Citrus aurantifolia (C. aurantifolia) were used. They were harvested and confirmed at the national herbarium of University of Abomey-Calavi. These plants were dried and powdered in laboratory. The powders were used to make ethanolic extracts.
Ethanolic extracts preparation
The ethanolic extracts are obtained by maceration of 50 g of powder of each plant in 500 ml of 96% ethanol for 48 h with continuous stirring. The mixture was then filtered twice on hydrophilic cotton and once on No1 Whatman paper before being concentrated in rotavapor at 50°C. The concentrates were deposited in an oven at 50°C until obtained a dry mass which constitutes the ethanolic extract [14].
In vivo anti-inflammatory activity of extracts
The method used here has been inspired by that of Sy et al. [15] with some modifications. Thus, 5 groups of 6 rats each were formed and fasted 15 hours before experimentation. The treatment was done orally as follows :
- The first animals group were used as controls and they received only physiological water at 1 ml/100 g body weight (b.w.) ;
- The second animals group were used as a reference and they received diclofenac at 50 mg/kg b.w ;
- The other three animal’s groups received ethanolic extracts of hirta (EE-Eh), C. aurantifolia (EE-Ca) and H. rotundifolia (EE-Hr) at 200 mg/kg b.w. respectively.
One hour after treatments, 0.1 ml of 2% formalin solution was injected into each rat under foot pad of the right hind paw. The paw diameter at the arch was measured every hour until fifth hour. Edema increase (EAP) and inhibition (EIP) percentages were calculated from the following formulas:
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)
Where Dt: Mean diameter of the right hind paw at time t; Do: M ean diameter of the right hind paw at time 0 (before treatment).
![](data:image/png;base64,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)
Analgesic activity of extracts
Writhing test
The method proposed by Koster et al. [16] and taken over by Sy et al. [15] was used. Thus, 5 groups of 6 rats each were formed and treated in the same way as before. But the reference animals group used here received acetylsalicylic acid (ASA) at 200 mg/kg b.w. Thirty minutes after treatments, 0.1 ml of 3% acetic acid solution was injected intraperitoneally to all rats and the twisting for each rat was counted over 30 minutes. Cramping inhibition percentage (CIP) was calculated according formula :
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)
Where TCc : Mean of twisting count of control group ; TCt : Mean of twisting count of treated groups
Tail immersion method
To evaluate analgesic effect of extracts by this approach, the method described by Gbenou et al. [17] was used with some modifications. The rats were arranged and treated as in the writhing test. Thirty minutes after treatments, the tail of each animal was immersed in hot water at 50°C and the reaction time was recorded.
Antipyretic effect of extracts
Pyrexia was induced in 5 groups of 6 rats each with a 20% beer yeast suspension. 24 hours after this induction, rats that showed an increase in temperature were treated with extracts and ASA as described above. The anal temperature of each rat was recorded every hour for 4 hours [18]. Pyrexia inhibition percentage (PIP) was calculeted ccording formula :
Where T°o : Temperature before pyrexia induction ; T°t : Temperature after pyrexia induction and treatment at time t
Euthanasia
At the end of the experiments, all rats were euthanized in a specially designed enclosure. Euthanasia by inhalation of CO2 with progressive filling (80%) of the enclosure was used under ethics committee control.
Statistical data processing
GraphPad Prism 7 software was used to perform graphs and statistical analyzes. A comparison of mean was made with analysis of variances (ANOVA) followed by tukey's multiple comparison test. The differences are considered significant if p-value < 0.05 and very significant if p-value < 0.001.