Abstract

 
 
 
 Purpose: To investigate spleen deficiency and excess dampness syndrome (SDES) in primary liver cancer (PLC) and the underlying mechanism using ultra pressure liquid chromatography-mass spectrometry (UPLC-MS).
 Methods: Ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) was used to detect urine metabolites from untreated and IPED-treatment PLC-SDES patients. The metabolites were annotated using Kyoto Encyclopedia of Genes and Genomes (KEGG), Human Metabolome Database (HMDB), and Lipidmaps. Principle component analysis (PCA) and partial least squares to latent structure-discriminant analysis (PLS-DA) models were built to reveal the metabolic differences between untreated, IPED-treated patients and healthy controls. The differential metabolites in PLC-SDES patients were screened according to variables important in the project (VIP) and p-value.
 Results: In urine, 537 metabolites (256 in negative and 281 in positive mode) were considered differential in PLC-SDES patients when compared to healthy controls. In untreated patients, 100 metabolites (38 in negative and 62 in positive mode) were differential when compared to IPED-treatment patients. The urine of PLC-SDES patients showed overlap of 32 metabolites.
 Conclusion: The results reveal comprehensive urine metabonomic changes in PLC-SDES patients, relative to healthy controls and IPED-treated patients. The identified metabolites may be potential biomarkers for diagnosis and IPED therapy.
 
 
 
Highlights
Primary liver cancer (PLC) is one of the most malignant carcinomas in the world, and its occurrence is strongly associated with eating habits and lifestyles [1]
The experimental methods used in metabonomics include nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS) [9]
Ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) is a powerful technique for metabonomic studies, because it allows metabolites to be tested in liquids such as urine
Summary
Primary liver cancer (PLC) is one of the most malignant carcinomas in the world, and its occurrence is strongly associated with eating habits and lifestyles [1]. The clustering analysis unambiguously showed that the metabolic pattern of urine components in PLC-SDES patients differed from that of healthy controls (Figure 4). In the present study, common metabonomic methods, including UPLC-MS coupled with PCA analysis and the use of PLS-DA models, were used to improve the understanding of spleen deficiency and excess-dampness syndrome in primary liver cancer patients. The results of PCA and PLS-DA models, based on the UPLC-MS data shown, S2, and S3, indicated that the PLCSDES patients were well separated from the healthy controls.
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