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急性前壁心肌梗死后心力衰竭代谢组学轮廓研究 被引量:4

Investigation of serum metabolic profiling in acute heart failure after anterior myocardial infarction
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摘要 目的分析急性前壁心肌梗死(acute anterior myocardial infarction,AAMI)后急性心力衰竭(acute heart failure,AHF)患者与未发生AHF患者血清代谢轮廓,寻找急性心肌梗死后心力衰竭发生原因高度相关的特征代谢物,对精准诊断和预后判断提供新的依据。方法收集住院确诊AAMI后并发AHF患者21例和AAMI后未发生AHF患者23例及同期体检的健康人25例,采用超高效液相色谱与质谱联用(UPLCMS)代谢组学研究平台筛选特征代谢产物,利用Graphpad软件进行系统分析。结果成功建立了主成分分析模型(R2X=42. 9%,Q2=9. 1%)及正交偏最小二乘法判别模型(R2X=59. 2%,R2Y=91. 9%,Q2=70. 3%),并从中筛选鉴定了18种差异代谢物。结论利用代谢轮廓分析方法所找到的特征代谢物具有很好的预示心力衰竭发生风险能力,为寻找新的治疗靶点、制定相应治疗方案及预后判断有较大的意义。 Objective To evaluate the serum metabolic profiling of acute heart failure( AHF) after anterior myocardial infarction( AAMI). Methods Twenty-one AHF patients,23 non-AHF patients and 25 healthy adults with physical examination from October 2016 to March 2017 at the Third Center Hospital of Tianjin were enrolled. Ultraperformance liquid chromatography-mass spectrometry( UPLC-MS) platform was used to screened the characteristic metabolites. Graphpad was used for statistical analysis. Results PCA( R2X = 42. 9%,Q2 = 9. 1%) model and OPLS-DA( R2 X = 59. 2%,R2 Y = 91. 9%,Q2 = 70. 3%) model were established,and 18 ions were identified. Conclusion Metabolites selected in metabolic profiling analysis show splendid ability in predicting the risk of AHF after AAMI.
作者 连烁 李彤 张磊 许文轩 稂与恒 胡晓旻 高文卿 宁萌 LIAN Shuo;LI Tong;ZHANG Lei;XU Wen-xuan;LANG Yu-heng;HU Xiao-rain;GAO Wen-qing;NING Meng(The Third Center Clinical College of Tianjin Medical University,Tianjin300170,China)
出处 《广东医学》 CAS 2018年第21期3197-3201,共5页 Guangdong Medical Journal
基金 天津市自然科学基金资助项目(编号:16JCQNJC11600) 天津市科技计划项目(编号:16YFZCSY01060) 天津市卫生行业重点攻关项目(编号:14KG112)
关键词 急性前壁心肌梗死后心力衰竭 色谱法 高压液相 质谱分析法 血清代谢组学 精准医疗 acute heart failure afteracute anterior myocardial infarction chromatography high pressure liquid mass spectrometry serum metabolomics precision medicine
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