本文選題：代謝組學(xué) + 主成分分析法　； 參考：《燕山大學(xué)》2009年碩士論文

【摘要】： 代謝組學(xué)是后基因組時(shí)代新發(fā)展起來(lái)的一門(mén)學(xué)科,它以組群指標(biāo)分析為基礎(chǔ),以高通量檢測(cè)和數(shù)據(jù)處理為手段,以信息建模與系統(tǒng)整合為目標(biāo),是系統(tǒng)生物學(xué)的重要組成部分。該學(xué)科通過(guò)對(duì)生物體內(nèi)所有低分子量代謝物進(jìn)行定性和定量分析,尋找代謝物與生理病理變化的關(guān)系;代謝組學(xué)中核磁共振技術(shù)(NMR)和質(zhì)譜技術(shù)(MS)是應(yīng)用最廣泛的兩種技術(shù),在數(shù)據(jù)分析過(guò)程中,模式識(shí)別技術(shù)例如主成分分析(PCA)、聚類(lèi)分析(HCA)、偏最小二乘法(PLS)和人工神經(jīng)網(wǎng)絡(luò)(ANN)等常用來(lái)進(jìn)行數(shù)據(jù)的壓縮和提取。 本課題用釓作為毒性材料處理大鼠,對(duì)實(shí)驗(yàn)組大鼠注入不同劑量的GdCl3,并用核磁共振技術(shù)分析其肝臟和腎臟組織提取物,即可找到與釓的毒性效應(yīng)相關(guān)的重要的代謝物標(biāo)記物。 采用三種模式識(shí)別方法(主成分分析法,系統(tǒng)聚類(lèi)分析法和模糊c均值聚類(lèi)分析法)對(duì)大鼠肝臟和腎臟中GdCl3毒性效應(yīng)的標(biāo)記物數(shù)據(jù)進(jìn)行分析。結(jié)果表明,肝臟中GdCl3毒性的生物標(biāo)記物表現(xiàn)為琥珀酸、乳酸、丙氨酸、甜菜堿等濃度的升高和肝糖原濃度的降低。在腎臟中肌酸、乳酸濃度的升高和谷氨酰胺、丙氨酸、磷酸膽堿、糖磷脂、甜菜堿、肌醇以及氮氧三甲胺(TMAO)的濃度的降低,即為腎臟受損的生物標(biāo)記物。通過(guò)本研究可以看出代謝組學(xué)在毒理學(xué)研究中的潛在應(yīng)用性和高度的可靠性。
[Abstract]:Metabonomics is a newly developed discipline in the post-genome era. It is an important component of system biology, which is based on cluster index analysis, takes high-throughput detection and data processing as a means, and aims at information modeling and system integration. The subject explores the relationship between metabolites and physiological and pathological changes by qualitative and quantitative analysis of all low molecular weight metabolites in organisms; nuclear magnetic resonance (NMR) and mass spectrometry (MS) are two of the most widely used metabolites in metabolomics. Pattern recognition techniques such as principal component analysis (PCA), clustering analysis (HCA), partial least squares (PLS) and artificial neural network (Ann) are often used to compress and extract data. In this study, gadolinium was used as a toxic material to treat rats, and different doses of GdCl _ 3 were injected into the experimental group rats. The liver and kidney tissue extracts were analyzed by nuclear magnetic resonance (NMR), and the important metabolite markers related to the toxic effect of gadolinium were found. Three kinds of pattern recognition methods (principal component analysis, systematic cluster analysis and fuzzy c-means clustering analysis) were used to analyze the marker data of GdCl _ 3 toxicity in rat liver and kidney. The results showed that the concentrations of succinic acid, lactic acid, alanine and betaine in liver were increased and the concentration of liver glycogen was decreased. The increase of creatine, lactic acid concentration and the decrease of glutamine, alanine, choline phosphate, phospholipid, betaine, inositol and trimethylamine (TMAO) in the kidney are the biomarkers of kidney damage. The potential application and high reliability of metabonomics in toxicological research can be seen from this study.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2009
【分類(lèi)號(hào)】：R341

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