基于ICP-MS的高脂血症潜在元素标志物研究

Hyperlipidemia Potential Biomarkers of Rat by ICP-MS

为研究高脂血症模型大鼠毛发中无机元素的含量变化,基于毛发样品筛选高脂血症疾病诊断的潜在元素标志物.采用高脂乳剂灌胃的方式建立高脂血症大鼠模型,取健康对照组与高脂血症模型组大鼠背部毛发进行微波消解,采用电感耦合等离子体质谱(ICP-MS)建立毛发无机元素表达谱,分析模型组与对照组差异.对毛发中75种无机元素的相对含量进行检测,通过主成分分析(PCA)获得得分图和载荷图,筛选差异元素,并使用SPSS统计软件对差异元素进行独立样本t检验.结果显示,对照组与模型组毛发无机元素表达谱存在一定差异,PCA得分图中两组聚类明显,具有生物学功能的差异元素有Mg、Al、Cr、Cu、Zn等,毛发中上述元素相对含量在模型组中显著升高(P<0.001).基于ICP-MS技术从毛发中发现了高脂血症的潜在元素标志物,为深入研究高脂血症疾病机制及其临床诊断提供了新的研究思路和科学依据.

To explore the changes in the content of inorganic elements in the hair of hyperlipidemia model rats and screen the potential element markers for the diagnosis of hyperlipidemia. Hyperlipidemia model of rats was established by high fat emulsion administration, taking the health control group of mice with hyperlipidemia model back hair for microwave digestion, using inductively coupled plasma mass spectrometry(ICP-MS) method to establish hair inorganic element expression, to detect the contents of inorganic elements, through the principal component analysis(PCA) combined with load figure(Loading) find out the differences between elements, and use of SPSS statistical software for independent samples t test.The results showed that there was a reliable difference between the control group and the model group in the expression profile of inorganic elements. The life elements that contributed significantly to clustering in the two groups in PCA were Mg, Al, Cr, Cu, Zn, Se, etc. The response of the above elements in hair was significantly increased in the model group(P<0.001). Based on ICP-MS technology, this study found potential element markers of hyperlipidemia from hair, which provided a new research idea and scientific basis for in-depth research on the disease mechanism and clinical diagnosis of hyperlipidemia.