Xue Ruyi, Dong Ling, Wu Hao, Liu Taotao, Wang Jiyao, Shen Xizhong
Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Clin Chem Lab Med. 2009;47(3):305-10. doi: 10.1515/CCLM.2009.083.
Metabolomic studies have been applied to disease biomarkers selection. With the metabolomic technique, gas chromatography/mass spectrometry (GC/MS), human serum metabolites can be detected and identified. The purpose of this study was to investigate the serum metabolic profile of hepatitis B virus (HBV) infected cirrhosis patients and to detect disease biomarkers.
HBV infected non-cirrhosis male subjects (n=20) and HBV infected cirrhosis male patients (n=20) participated in this experiment. Serum metabolome was detected through chemical derivatization followed by GC/MS. The high-flux metabolomic data were analyzed by stepwise discriminant analysis.
Out of the 41 metabolites detected in serum, we selected metabolites, including acetic acid, sorbitol, D-lactic acid, hexanoic acid, 1-naphthalenamine, butanoic acid, phosphoric acid, D-glucitol, and glucose, which in combination with each other could segregate the two groups. The error count was 0% for the non-cirrhosis group and 25% for the cirrhosis group.
This technique can be used to select biomarkers for hepatic cirrhosis.
代谢组学研究已应用于疾病生物标志物的筛选。利用代谢组学技术,即气相色谱/质谱联用(GC/MS),可以检测和鉴定人血清代谢物。本研究的目的是调查乙型肝炎病毒(HBV)感染的肝硬化患者的血清代谢谱,并检测疾病生物标志物。
HBV感染的非肝硬化男性受试者(n = 20)和HBV感染的肝硬化男性患者(n = 20)参与了本实验。血清代谢组通过化学衍生化后采用GC/MS进行检测。高通量代谢组学数据通过逐步判别分析进行分析。
在血清中检测到的41种代谢物中,我们选择了包括乙酸、山梨醇、D-乳酸、己酸、1-萘胺、丁酸、磷酸、D-葡萄糖醇和葡萄糖在内的代谢物,它们相互组合可以区分这两组。非肝硬化组的错误计数为0%,肝硬化组为25%。
该技术可用于选择肝硬化的生物标志物。