Literature and Experimental Study on the Establishment of Functional Constipation Model in Rats
Objective Based on the result of the literature analysis,we explored the establishment of FC model in rats to provide areference for future animal experiments related to constipation.Method The experiment was divided into two parts.Firstly,28 rats were randomly divided into blank group(8 rats),compound diphenoxylate group(10 rats)and loperamide group(10 rats).The blank group was given 0.9%sodium chloride solution.The experimental groups were given 10 mg/kg compound diphenoxylate or loperamide to establish FC rat model.After 14 days,the differences of the first black stool discharge time,the number of 24 h defecation and fecal water content of the three groups were observed.In the second experiment,thirty rats were randomly divided into blank group,low-dose group and high-dose group.The experimental groups were given different doses of compound diphenoxylate by gavage,and the related gastrointestinal motility indexes were observed after 14 days.Result The result of the first experiment showed that there was no significant difference in the indexes among the three groups(P>0.05);the result of the second experiment showed that,compared with the blank group,the time of the first black stool discharge was prolonged in the high-dose group,and the fecal water content,the number of 24 h defecation,the rate of small intestinal propulsion,and the rate of gastric emptying were decreased(P<0.05);compared with the small-dose group,the time of the first black stool discharge was prolonged in the high-dose group,and the fecal water content,24 h defecation number,small intestinal propulsion rate,and gastric emptying rate decreased,among which the differences in 24 h defecation number and gastric emptying rate were statistically significant(P<0.05).Conclusion Oral administration of 10 mg/kg and 15 mg/kg compound diphenoxylate and 10 mg/kg loperamide failed to establish FC model.20 mg/kg compound diphenoxylate could establish FC model successfully.
NETL
NSTL
万方数据
维普
