| Summary: | 碩士 === 中原大學 === 應用數學研究所 === 106 === Metabolic syndrome is a general term for the symptoms of a group of risk factors that cause cardiovascular disease to merge into a person. Common cardiovascular diseases include stroke, hypertension, heart disease, obstruction of coronary artery syndrome, etc. According to previous studies, rats were fed with 60% high fructose diets could induced obesity, hyperglycemia, hypertension, hyperinsulinemia, hypertriglyceridemia, and changes in oxidative stress. It is also observed that rats are similar in metabolism to humans and have multiple metabolic disorders such as glucose intolerance, adipose tissue hypertrophy, and accumulation of lipids in the liver. Therefore, it is often used in the development of metabolic syndrome-related drugs or health foods. However, 60% of the feeds in the aforementioned model are carbohydrates, and all carbohydrates are mainly fructose. In this case, if the health food contains carbohydrates, the metabolic syndrome will be induced success and affected use doubts, after adjusting the fructose ratio. In view of this, the master’s thesis of Chao-Jium Yen, a department of Chung Yuan Chirstian University Bioscience Technology student, was to explore this issue. The experiments were performed in male Sprague-Dawley rats that assigned to four groups: in control group (C), rats were maintained on standard chow and, in F40, F50, F60 group, rats were fed a 40%, 50%, 60% high-fructose diet respectively
during 13 weeks. Body weight and blood pressure were measured per week. Fasting blood was collected biweekly, and plasma glucose, insulin, triglyceride were examined. The oral glucose tolerance test were performed per month. At the end of the experiment, rats were killed by decapitation. Plasma was collected for further bioassay. The liver triglyceride, cholesterol, and TBARS were assayed as well. The experimental results showed that the rats’ blood pressure, glucose intolerance, blood glucose, insulin, triglyceride, and oxidative stress all increased significantly when the diet contained 40% fructose, which represented a phenomenon that induced metabolic syndrome, the same situation occurs at 50% fructose and 60% fructose.
However, when we examined Yen’s experimental data, there were some outliers and non-normal distribution including the data. Therefore, comparing two statistical analysis results and whether nonparametric statistics can prove the data that non-normal distribution and have more outliers by using One-Way ANOVA and nonparametric statistics in this paper. The results shown that, the outcomes of some factors were different in nonparametric statistics and mean of analysis. They were different that OGTT was significantly higher than control group when 50% fructose, plasma triglycerides were significantly higher than group F50 and group F60, respectively, when fructose was 40%, liver triglyceride was significantly higher than control group when fructose 40% and 50% respectively, the liver TBARS was significantly lower than F50 when fructose was 40%. These outcomes changed from no significant differences to significant differences. The conclusion is nonparametric statistic can improve these two defects and make the analysis more accurate if there were outliers in the data or non-normal distribution of the data.
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