| 阵发性心房颤动患者血清代谢组学初步研究 |
| 投稿时间：2017-05-31 修订日期：2017-06-20 点此下载全文 |
| 引用本文：潘扬,苟小军,朱坚.阵发性心房颤动患者血清代谢组学初步研究[J].医学研究杂志,2018,47(3):41-47 |
| DOI：
10.11969/j.issn.1673-548X.2018.03.012 |
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| 基金项目:国家自然科学基金资助项目（81473475）；上海市卫生和计划生育委员会科研基金资助项目（20154Y0148） |
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| 中文摘要:目的 采用代谢组学方法分析阵发性心房颤动患者血清中低分子代谢物的变化。方法 采用气相色谱-质谱联用技术（GC-MS）检测15例阵发性心房颤动患者（病理组）和同期20例健康者（对照组）血清中代谢物，采用正交偏最小二乘法（OPLSA）的方法比较两组代谢谱的变化。结果 对照组和病例组的代谢谱分离趋势明显，利用Wiley和NIST质谱库及本课题组建立的标准品谱库鉴定了29个具有统计学意义的差异代谢物。并对29个差异代谢物进行了ROC曲线绘制，计算ROC曲线下的面积，得出甘油曲线下的面积为0.937，丝氨酸曲线下的面积为0.853，天冬氨酸曲线下的面积为0.933，苏氨酸曲线下的面积为0.823，色氨酸曲线下的面积为1。结论 心房颤动患者血清中低分子代谢产物与正常人存在差异，心房颤动患者血清中甘油、丝氨酸、天冬氨酸、苏氨酸以及色氨酸可能成为心房颤动诊断标志物。 |
| 中文关键词:代谢组学 血清 生物标志物 心房颤动 |
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| A Primary Study of Serum Metabonomic in Patients with Paroxysmal Atrial Fibrillation |
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| Abstract:Objective To investigate the changes of metabolites in serum of paroxysmal patients with atrial fibrillation based on metabonomics. Methods The metabolites of serum in 15 patients with atrial fibrillation (case group) and 20 healthy subjects (control group) were measured by gas chromatography-mass spectrometry (GC-MS) group.The metabolic profile difference in the two groups was analyzed and compared by orthogonal design method (OPLS). Results The metabolic profile of the control and case groups was significantly distinguished, and 29 statistically significant differences metabolites were identified using commercially available metabolite libraries (such as the Wiley and NIST mass pools) and the standard metabolite library established in our laboratory, The areas under the ROC curve of 29 metabolites were calculated. The area under the curve of glycerol was 0.937, the area under the serine curve was 0.853, the area under the curve of aspartic acid was 0.933, the area of threonine was 0.823, the area of tryptophan was 1. Conclusion There exist differences in serum of sma]l molecular metabolites between patients with atrial fibrillation and normal healthy people. Glycerol, serine, aspartic acid, threonine and tryptophan of serum in patients with atrial fibrillation may be biomarkers of diagnosis of atrial fibrillation. |
| keywords:Metabolomics Serum Biomarkers Atrial fibrillation |
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