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 chromatography-mass 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.
题目: 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.
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识别分析各代谢物的变化.
结果: MM患者血清标本中尿酸的代谢变化倍数是健康志愿者的9.39倍，反式痘苗酸的代谢变化倍数是健康志愿者的2.77倍，二种含量均明显高于健康者，比较差异有统计学意义（P＜0.01），提示健康人和多发性骨髓瘤患者之间代谢水平存在差异.
结论: 尿酸、反式痘苗酸有望作为MM诊断、预后判断、疗效评估的重要代谢学指标，进而为研究MM的发病机制提供线索.