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Gastric cancer (GC) is one of the most common types of cancer in the world. A change in the metabolism of lipids in tumor cells could lead to the pathogenesis of cancer. In this study, we investigated fatty acid and fatty acid amide metabolic perturbations associated with GC morbidity.Gas chromatography/mass spectrometry (GC/MS) was utilized to analyze fatty acids (FAs) and fatty acid amides (FAAs) of GC tissues and matched normal mucosae from 30 GC patients. Acquired lipid data was analyzed using non parametric Wilcoxon rank sum test to find the differential biomarkers for GC and diagnostic models for GC were established by using orthogonal partial least squares discriminant analysis (OPLS-DA).A total of 13 FAs and 4 FAAs were detected using GC/MS and 5 differential FAs as well as oleamide were identified with significant difference (P0.05). The OPLS-DA model generated from lipid profile showed adequate discrimination of GC tissues from normal mucosae while the OPLS-DA model failed to separate GC specimens of different TNM stages. A total of 8 variables were obtained for their most contribution in the discriminating model (Variable importance in the projection (VIP) value1.0), five of which were detected with significant difference (P0.05).FA and FAA metabolic profiles have great potential in detecting GC and helping understand perturbations of lipid metabolism associated with GC morbidity.

Techniques for the fast and accurate detection of bacterial infection are critical for early diagnosis, prevention and treatment of bacterial translocation in clinical severe acute pancreatitis (SAP). In this study, the availability of a real-time PCR method in detection of bacterial colonization in SAP rat models was investigated.Samples of blood, mesenteric lymph nodes (MLN), pancreas and liver from 24 specific pathogen-free rats (8 in a control group, 16 in a SAP group) were detected for bacterial infection rates both by agar plate culture and a real-time PCR method, and the results were made contrast.Bacterial infection rates of the blood, MLN, pancreas and liver in the SAP group and the control group by the two different methods were almost the same, which were 5/16, 12/16, 15/16, 12/16 in the SAP group compared with 0/8, 1/8, 0/8, 0/8 in the control group by agar plate culture, while 5/16, 10/16, 13/16, 12/16 and 0/8, 1/8, 0/8, 0/8 respectively by a real-time PCR method. Bacterial number was estimated by real-time PCR, which showed that in the same mass of tissues, the pancreas contained more bacteria than the other three kinds of organs in SAP rats (P0.01), that may be due to the edema, necrosis and hemorrhage existing in the pancreas, making it easier for bacteria to invade and breed.Fast and accurate detection of bacterial translocation in SAP rat models could be carried out by a real-time PCR procedure.