| 基于液相色谱-质谱技术的多发性骨髓瘤患者血清代谢组学分析 |
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| 引用本文： | 徐小梦,孔祥图,于慧,陈晓丽,姜鹏君,倪海雯. 基于液相色谱-质谱技术的多发性骨髓瘤患者血清代谢组学分析[J]. 中国实验血液学杂志, 2021, 0(2): 520-524 |
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| 作者姓名： | 徐小梦 孔祥图 于慧 陈晓丽 姜鹏君 倪海雯 |
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| 作者单位： | 南京中医药大学;南京中医药大学附属医院 |
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| 基金项目： | 江苏省中医药管理局课题(No.YB2017014);国家中医药管理局第四批全国中医优秀人才研修项目(国中医药办人教函[2017]24号);江苏省卫健委333人才六一工程项目(LGY201707)。 |
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| 摘 要： | 目的:应用代谢组学方法观察多发性骨髓瘤(MM)患者的血清代谢产物变化规律,探索MM诊断、预后判断及病情进展的潜在生物标志物.方法:收集MM患者26例和健康人50例的血清标本.将液相色谱-质谱检测所得的数据输入SIMCA-14.0软件,进行多变量统计分析.用主成分分析法、偏最小二乘法判别分析和正交偏最小二乘法判别分析模式...
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| 关 键 词： | 代谢组学 多发性骨髓瘤 血清 差异性代谢物 液相色谱-质谱 |
Analysis of Serum Metabonomics in Patients with Multiple Myeloma Based on Liquid Chromatography-Mass Spectrometry |
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| XU Xiao-Meng,KONG Xiang-Tu,YU Hui,CHEN Xiao-Li,JIANG Peng-Jun,NI Hai-Wen. Analysis of Serum Metabonomics in Patients with Multiple Myeloma Based on Liquid Chromatography-Mass Spectrometry[J]. Journal of experimental hematology, 2021, 0(2): 520-524 |
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| Authors: | XU Xiao-Meng KONG Xiang-Tu YU Hui CHEN Xiao-Li JIANG Peng-Jun NI Hai-Wen |
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| Affiliation: | (Nanjing University of Chinese Medicine;Department of Hematology,Affiliated Hospital of Nanjing University of Chinese Medicine,Jiangsu Province Hospital of Chinese Medicine,Nanjing 210029,Jiangsu Province,China) |
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| Abstract: | Objective:To observe the changes of serum metabolites in patients with multiple myeloma(MM)by metabonomics,and explore the potential biomarkers for diagnosis,prognosis,and progression of MM.Methods:Serum samples were collected from 26 patients with MM and 50 healthy controls.The data detected by liquid chromatographymass spectrometry(LC-MS)was input into SIMCA-14.0 software for multivariate statistical analysis.Principal component analysis(PCA),partial least squares discriminant analysis(PLS-DA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were used to analyze the changes of metabolites.Results:The metabolic change of uric acid and trans-vaccenic acid in serum samples of MM patients was 9.39 times and 2.77 times of these in healthy people,respectively,which were significantly higher than those of healthy people,and the difference was statistically significant P<0.01).Conclusion:Uric acid and trans-vaccenic acid are expected to be important metabolic indicators for the diagnosis,prognosis,and efficacy evaluation of MM,thus providing some clues for the pathogenesis of MM. |
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| Keywords: | metabonomics multiple myeloma serum differential metabolites liquid chromatography-mass spectrometry |
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