A serum metabonomic study on the difference between alcohol- and HBV-induced liver cirrhosis by ultraperformance liquid chromatography coupled to mass spectrometry plus quadrupole time-of-flight mass spectrometry / 中华医学杂志(英文版)

ABSTRACT

<p><b>BACKGROUND</b>Liver cirrhosis is the fatal consequence of chronic hepatitis, making early diagnosis of liver cirrhosis critical. Liver biopsy is still the standard diagnostic method for liver cirrhosis, although its use in a broad population with alcoholism or hepatitis B virus (HBV) infection remains difficult. In this study, we used a metabonomic approach to detect potential biomarkers for early diagnosis of liver cirrhosis.</p><p><b>METHODS</b>Serum specimens were collected prospectively from normal control subjects (n = 22) and patients with alcoholic cirrhosis (n = 18) or HBV-induced cirrhosis (n = 19). The serum metabonome was analyzed using ultraperformance liquid chromatography (LC)/time-of-flight mass spectrometry (MS) integrated with chemometrics. The acquired LC-MS data were normalized and processed using principal component analysis (PCA) and partial least squares discrimination analysis (PLS-DA).</p><p><b>RESULTS</b>Significant differences in the metabonomics among the three groups were observed. Lysophosphatidyl cholines (LPCs) (LPC C160, LPC C180, LPC C182, LPC C183, LPC C203, LPC C205) were decreased in the serum of patients with hepatic cirrhosis, whereas bile acids (glycocholic acid, glycochenodeoxycholic acid), hypoxanthine, and stearamide were increased in the serum of patients with hepatic cirrhosis. These metabolites are considered "common" biomarkers for hepatic cirrhosis. Oleamide and myristamide were increased in the serum of patients with alcoholic cirrhosis but decreased in those with HBV-induced cirrhosis. These could be specific biomarkers for differential diagnosis between alcohol- and HBV-induced hepatic cirrhosis.</p><p><b>CONCLUSIONS</b>There are significant metabonomic differences between alcohol- and HBV-induced liver cirrhosis. Metabonomics is a top-down systems biology tool for conducting research on clinical problems.</p>