Blood transfusions are beneficial in many clinical circumstances, however they temporarily improve the physical state of the patients but exert wide spread effects on immune and non-immune systems. Recently, data has accumulated to suggest that allogeneic blood transfusions are connected with regulations in the immune functions, which have increased rate of recurrence of cancer. Nevertheless, to date, little is known about the global metabolomic alterations that indicate the possible reasons for hidden risks about blood transfusion. As a discipline focused on comprehensive analysis of small molecule metabolites, metabolomics provides a powerful approach to seek out biomarkers in biosystem. In this thesis, we attempt to investigate the metabolite changings generated by allogeneic blood transfusion based on rat model through using metabolomics technology, and explored potential negative impacts associated with these biomarkers on cancer patients who received allogeneic blood transfusion during surgery. To further profile the ;;metabolome” after blood transfusions, we used both liquid chromatography-quadrupole time-of-flight high definition mass spectrometry and gas chromatography mass spectrometry. The level of total twelve metabolites were found significantly changed in allogeneic groups compared to autologous groups by performing principal component analysis (PCA) coupled with partial least squares-discriminant analysis (PLS-DA). The results showed that two groups were clearly discriminated from each other and metabolic variations may have correlations with cancer occurrence, leading to a better understanding of blood transfusion and its significance for recurrence after cancer surgery.
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HPLC-QTOF-MS and GC-MS based metabolomics on blood transfusion study
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