Metabolomics Approach Based on Multivariate Techniques for Blood Transfusion Reactions View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Seul Ji Lee, Haiping Wang, Soo Hyun Ahn, Mi Kwon Son, Gyu Hwan Hyun, Sang Jun Yoon, Jeongmi Lee, Jeong Hill Park, Johan Lim, Soon-Sun Hong, Sung Won Kwon

ABSTRACT

Blood transfusions temporarily improve the physical state of the patient but exert widespread effects on immune and non-immune systems. Perioperative allogeneic blood transfusions (ABT) are associated with various risks, including coagulopathy, incompatibility, transmission of infectious agents, and allergic reactions. Nevertheless, little is known about the global metabolic alterations that reflect the possible reactions of blood transfusions. In this study, we investigated metabolite changes generated by ABT in a rat model using metabolomics technology. 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. ABT promoted a stimulatory microenvironment associated with a relative increase in glucose transporter 1/4 (GLUT1/GLUT4) expression. Supporting this result, glucose metabolism-related enzyme IRS1 and interleukin-6 (IL-6) were abnormally expressed, and levels of lysophosphatidylcholine (LysoPC) and its related enzyme phospholipase A2 (PLA2) were significantly altered in allogeneic groups compared to those in autologous groups. Finally, amino acid metabolism was also altered following ABT. Taken together, our results show a difference between autologous and allogeneic blood transfusions and demonstrate correlations with cancer-associated metabolic changes. Our data provide endogenous information for a better understanding of blood transfusion reactions. More... »

PAGES

1740

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37468-9

DOI

http://dx.doi.org/10.1038/s41598-018-37468-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112057152

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30741955


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