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肝细胞癌、肝硬化患者血清中代谢物组研究

Study on Metabonome in Human Serum with Hepatocellular Carcinoma or Liver Cirrhosis

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【作者】 陆强黄一红丛辉刘霞高红昌林东海王惠民

【Author】 LU Qiang1,HUANG Yi-Hong1,CONG Hui1,LIU Xia2,GAO Hong-Chang2,LIN Dong-Hai2,WANG Hui-Min11(Affiliated Hospital of Nantong University,Medical Laboratory Department of Nantong University,Key Science of Jiangsu Laboratory Diagnostics,Nantong 226001)2(Shanghai Institute of Materia Medica,Chinese Academy of Sciences,Shanghai 201203)

【机构】 南通大学附属医院,南通大学检验系,江苏省实验诊断学重点学科中国科学院上海药物研究所

【摘要】 采用核磁共振方法检测肝硬化、肝细胞癌(简称肝癌)患者和健康人血清中代谢物,研究3组血清代谢物组的差异。利用偏最小二乘法-判别式分析(partial least square-discriminant analysis,PLS-DA)对NMR谱数据进行模式识别分析,探讨利用基于1HNMR代谢组学技术诊断肝癌的可行性。结果表明,与健康人相比,肝硬化、肝癌患者血清中脂质(低密度脂蛋白和极低密度脂蛋白)、胆碱、乙酰乙酸等含量减少,谷氨酰胺、丙酮酸、苯丙氨酸、酪氨酸等含量增加。PLS-DA分析结果显示肝癌患者可与健康人、肝硬化患者鉴别开来,肝癌诊断灵敏度达92.1%,假阳性率为5.7%,优于血清甲胎蛋白(alpha-fetoprotein,AFP)检测。研究结果表明,基于1HNMR代谢组学技术结合PLS-DA的方法具有灵敏、准确、重复性好等优点,有助于肝癌早期诊断。

【Abstract】 A comparison for the metabonome in serum samples from patients of LC(liver cirrhosis),HCC(hepatocellular carcinoma)and healthy volunteers were studied with the method of NMR(nuclear magnetic resonance spectroscopy).To explore the potential of applying 1H NMR-based metabonomics to diagnose HCC,PLS-DA(partial least square-discriminant analysis)was employed to perform the pattern recognition analysis of NMR spectra.In comparison with healthy volunteers,the result show that patients of LC and HCC were characterized by depleted levels of lipids(LDL,low-density lipoprotein and VLDL,very low-density lipoprotein),choline,acetoacetate,etc.and by elevated levels of glutamine,pyruvate,phenylalanine,tyrosine,etc..The results of PLS-DA analysis shows that HCC patients could be discriminated from healthy volunteers and LC patients with diagnositic sensitivity of 92.1% and false positive rate of 5.7% These were better than the results of serum AFP(alpha-fetoprotein)detection.The results also show that 1H NMR-based metabonomics couple with PLS-DA analysis is useful for clinical diagnosis of HCC,and the method has the superiorities of sensitiveness,accuracy and good reproducibility.

【基金】 江苏省医学重点建设学科(No.XK200723)资助
  • 【文献出处】 分析化学 ,Chinese Journal of Analytical Chemistry , 编辑部邮箱 ,2009年02期
  • 【分类号】R735.7;R575.2
  • 【被引频次】34
  • 【下载频次】876
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