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高脂血癥血清脂肪酸標(biāo)志物的篩選研究

發(fā)布時間:2019-02-12 16:29
【摘要】:據(jù)有關(guān)數(shù)據(jù)顯示,我國高血脂患者的數(shù)量非常龐大,每年國家花費在此類疾病上的醫(yī)療資源和財力數(shù)額巨大。即使如此,我國對于高脂血癥到目前為止還是處于被動應(yīng)付的處境,無法有效解決困擾廣大人民群眾的健康問題。追其原因,主要是由于缺乏有效的早期檢查和判別的方法。如果能夠及早發(fā)現(xiàn)、及早干預(yù)治療,就可以將疾病扼殺在搖籃里。而如果一直待到生化指標(biāo)檢測發(fā)現(xiàn)異常時,那時人體已處于患病狀態(tài),只能接受藥物治療。因此我們需要找到在疾病初期就能夠檢查和評判的方法,而不是在疾病發(fā)生后進(jìn)行藥物治療。脂質(zhì)組學(xué)的出現(xiàn)滿足了這一要求,其致力于在疾病發(fā)生初期就檢測出異常代謝物,然后采用日常飲食調(diào)節(jié)來達(dá)到預(yù)防疾病目的,而不是在疾病發(fā)生后通過藥物進(jìn)行調(diào)控和治療。本論文采用脂質(zhì)組學(xué)的研究思路,選擇GC-MS檢測技術(shù),檢測高脂血癥動態(tài)模型中的小鼠血清脂肪酸的動態(tài)變化情況,希望通過觀測動態(tài)模型小鼠血清脂肪酸的差異,找到與高脂血癥有關(guān)的一些基礎(chǔ)信息。本論文得到了如下結(jié)論:(1)通過對不同時間點的實驗小鼠血清進(jìn)行生化檢測以及相應(yīng)時間點的實驗小鼠肝臟做病理切片,可以清晰的觀察到隨著飼喂高脂飼料的時間拉長,實驗小鼠高脂血癥癥狀越來越明顯,說明高脂血癥時間動態(tài)模型建立成功。(2)對前期建立的時間動態(tài)模型中的實驗小鼠血清進(jìn)行GC-MS檢測。此次采取的是通過飼喂高脂飼料時間不同,使各組之間高脂血癥癥狀產(chǎn)生一個動態(tài)過程。分析檢測結(jié)果,發(fā)現(xiàn)各組之間的脂肪酸含量都不相同,且都具有一定的顯著性,但是只有三種脂肪酸的變化是有規(guī)律性的,和時間動態(tài)是一致的,這三種脂肪酸是:C16:1、C18:1、C22:6。(3)在實驗室前期實驗的基礎(chǔ)上,對高脂組小鼠,基礎(chǔ)組小鼠,以及灌胃過有降脂功效的功能性油脂的高脂組小鼠血清進(jìn)行GC-MS檢測分析。此次是通過飼喂飼料不同,使各組之間也產(chǎn)生動態(tài)效果,與時間動態(tài)模型形成對照。得到各組之間血清脂肪酸含量都有一定的差異,但是其中C16:1、C18:1、C22:6三種脂肪酸在這三組之間的變化差異顯著,且具有一定的規(guī)律性,可能為潛在的生物標(biāo)志物。
[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.
【學(xué)位授予單位】:武漢輕工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:R589.2

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