ABSTRACT
Stable isotope tracer metabolomics tracks and analyzes the whole metabolic process of the body through the tracer atoms, which belongs to the frontier technology in the field of biomedicine. This technology is of great significance and value for explaining the pathogenesis of diseases, finding biomarkers of diseases and drug action targets. Taking the mechanism of glucose catabolism disorder in depression as an example, this paper systematically expounds the stable isotope tracer metabolomics technology and its application. The research idea of stable isotope tracer metabolomics based on unmarked metabolomics was put forward, and the research strategy of biological significance interpretation from four dimensions of metabolite isotope abundance, key metabolic enzymes, metabolic flow direction and metabolite flow was given, which broke through the bottleneck of stable isotope tracer metabolomics research technology based on overall animal experiment, and provided scientific basis for the promotion and application of this technology.
ABSTRACT
With the wide application of stable isotope tracer metabolomics technology, its comprehensive analysis and in-depth mining of data are particularly important, and metabolic flux analysis is one of the main technical means, especially in the study of glucose metabolism. Metabolic flux analysis technology combines isotope tracing with mathematical models to deduce and calculate the metabolic flux between metabolites. The metabolic flux provides more information for research and reflects a dynamic metabolic process more clearly and specifically. This paper reviews the basic process, precautions, and application examples of metabolic flux analysis in glucose metabolism research, and provides a reference for the application of metabolic flux analysis based on stable isotope tracer metabolomics in glucose metabolism research.
ABSTRACT
With the rapid development of high sensitivity detection techniques such as nuclear magnetic resonance and mass spectrometry, stable isotope-resolved metabolomics has been widely used in elucidating the regulatory mechanism of metabolic pathways and metabolic flow analysis, and some breakthroughs have been made. In this paper the application of stable isotope-resolved metabolomics in glucose catabolic regulation, metabolic flow analysis and functional interpretation of key metabolic pathways is reviewed, providing references for the wider use and application of this technology.
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate the effect of surgical manipulation on the dissemination of cancer cells into blood circulation in patients with gastric cancer and to analyze its risk factors.</p><p><b>METHODS</b>This study included 45 consecutive patients with gastric cancer undergoing curative resection and 13 control cases (10 healthy persons and 3 patients with peptic ulcer receiving gastrectomy). Peripheral blood was obtained preoperatively and just after surgical manipulation. The mRNA levels of carcinoembryonic antigen (CEA) from the blood samples were assayed by reverse transcription-polymerase chain reaction(RT-PCR) and compared between the 2 groups.</p><p><b>RESULTS</b>CEA mRNA was negative in all control cases. Of the 45 gastric cancer patients, the preoperative positive rate of CEA mRNA was 8.9%, while the postoperative positive rate was 48.9%, which was significantly higher than that of preoperation (P=0.000). Multivariable Logistic regression analysis showed that operative duration (P=0.014) and tumor depth (P=0.010) were independent risk factors for cancer cell dissemination. Furthermore, the operative duration in patients with positive postoperative CEA mRNA was markedly longer than that in patients with negative postoperative CEA mRNA (P=0.000), and positive rate of postoperative CEA mRNA in advanced gastric cancer was higher compared with that in early gastric cancer (P=0.034).</p><p><b>CONCLUSIONS</b>Surgical manipulation of curative gastrectomy can provoke dissemination of cancer cells into blood circulation, and the operative duration and tumor invasion depth may be 2 of the risk factors for cancer cell dissemination.</p>