高脂血症血清脂肪酸标志物的筛选研究
[Abstract]:According to the relevant data, the number of hyperlipidemia patients in China is very large, and the amount of medical resources and financial resources that the country spends on such diseases is huge every year. Even so, our country is still in a passive state of coping with hyperlipidemia so far, which can not effectively solve the health problems besetting the masses of the people. The main reason is the lack of effective early detection and discrimination methods. Early detection and early intervention can stifle the disease in its cradle. And if you stay until biochemical tests find abnormal, by that time the body is in a state of illness, can only be treated with drugs. So we need to find a way to check and judge at the beginning of the disease, not after the disease. The appearance of lipid genomics satisfies this requirement. It is committed to detecting abnormal metabolites in the early stages of the disease, and then using diet to prevent the disease, rather than drug control and treatment after the disease occurs. In this paper, we choose the GC-MS technique to detect the dynamic changes of serum fatty acids in the dynamic model of hyperlipidemia, and hope to observe the difference of the fatty acids in the serum of the dynamic model mice. Find some basic information about hyperlipidemia. The conclusions of this paper are as follows: (1) by biochemical detection of serum at different time points and pathological section of liver of experimental mice at corresponding time points, it can be clearly observed that the time of feeding high fat feed is lengthened. The symptom of hyperlipidemia in experimental mice was more and more obvious, which indicated that the time dynamic model of hyperlipidemia was established successfully. (2) the serum of experimental mice was detected by GC-MS. This time, the hyperlipidemia symptoms were produced a dynamic process by feeding hyperlipidemia feed for different time. The results of analysis showed that the fatty acid contents of each group were different and had some significance, but only three kinds of fatty acids were regular and consistent with the time dynamics. The three fatty acids were: C16: 1, C18: 1 and C22: 6. (3) on the basis of laboratory experiments, the serum of mice in high fat group, basic group and hyperlipidemic group were detected by GC-MS. By feeding different feed, the dynamic effect of each group was also produced, which was contrasted with the time dynamic model. The results showed that there were some differences in serum fatty acid contents among the three groups, but C16: 1C18: 1: C22: 6 had significant difference among the three groups, and had certain regularity, which might be a potential biomarker.
【学位授予单位】:武汉轻工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:R589.2
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