| 摘要: |
| 目的 应用核磁共振一维氢谱（1HNMR）的代谢组学技术区分早期肾透明细胞癌（ccRCC）患者和健康人的血清代谢物差异。方法 选取11例低级ccRCC患者（均为Ⅰ～Ⅱ级）和16例健康人的血清，用Bruker 600 MHz核磁共振谱仪采用cpmgpr1d脉冲序列并做单脉冲压制水峰检测1HNMR。用主成分分析法（PCA）和偏最小二乘判别分析法(PLS-DA)分析血清代谢物的改变。结果 结合PCA和PLS-DA统计方法 ，结果 表明与健康人比较，低级ccRCC患者血清中的低密度脂蛋白（LDL）、极低密度脂蛋白（VLDL）、异亮氨酸、丙氨酸、N-乙酰糖蛋白（NAC）、乙酰乙酸、谷氨酰胺、牛磺酸、1-甲基组氨酸和苯丙氨酸的含量升高(P<0.05或P<0.01)；乳酸、醋酸盐、丙酮酸、胆碱类物质、甘油和葡萄糖的含量降低(P<0.05或P<0.01)。结论 1HNMR技术能显著区分早期的ccRCC患者和健康人的血清代谢物差异，为ccRCC的早期诊断提供了一种新的有效方法 。 |
| 关键词: 磁共振波谱学 代谢 肾透明细胞癌 诊断 |
| DOI：10.3724/SP.J.1008.2012.067 |
| 投稿时间：2011-11-21修订日期：2011-12-09 |
| 基金项目: |
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| Analysis of serum metabolite composition in patients with early stage clear cell renal cell carcinoma by 1HNMR spectroscopy metabonomic study |
| LI Yu,ZHAO Jing-xia,YANG Gen-jin,HANG Wei,LOU Zi-yang* |
(Pharmaceutical Analysis Center, School of Pharmacy, Second Military Medical University, Shanghai 200433, China
*Corresponding author.) |
| Abstract: |
| Objective To characterize the serum metabolite composition of patients with clear cell renal cell carcinoma (ccRCC) by using nuclear magnetic resonance 1H (1HNMR) spectroscopy. Methods The 1HNMR spectra were obtained for the serum samples of 11 patients with low grade（Ⅰ-Ⅱ） ccRCC and 16 healthy humans, and the spectra data were analyzed by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) to demonstrate the metabonomic changes. Results PCA and PLS-DA results showed that there were noticeable differences in metabonomics between the ccRCC patients and healthy controls. The levels of low-density lipoprotein, very low-density lipoprotein, isoleucine, alanine, N-acetylglycoprotein, acetoacetate, glutamine, taurine, 1-methylhistidine, and phenylalanine were significantly increased in the ccRCC patients (P<0.05, P<0.01); and lactate, acetate, pyruvate, choline, glycerol, and glucose were significantly decreased compared with those in the healthy controls (P<0.05, P<0.01). Conclusion Serum 1HNMR spectroscopy combined with PCA and PLS-DA can identify the difference in serum metabonomes between ccRCC patients and healthy controls, which may offer a novel way for diagnosis of ccRCC. |
| Key words: magnetic resonance spectroscopy metabolism clear cell renal cell carcinoma diagnosis |
