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Metabolomics Approach Based on Multivariate Techniques for Blood Transfusion Reactionsoa mark
  • Lee, Seul Ji ;
  • Wang, Haiping ;
  • Ahn, Soo Hyun ;
  • Son, Mi Kwon ;
  • Hyun, Gyu Hwan ;
  • Yoon, Sang Jun ;
  • Lee, Jeongmi ;
  • Park, Jeong Hill ;
  • Lim, Johan ;
  • Hong, Soon Sun ;
  • Kwon, Sung Won
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Publication Year
2019-12-01
Publisher
Nature Publishing Group
Citation
Scientific Reports, Vol.9
Mesh Keyword
Chromatography, High Pressure LiquidEnzyme-Linked Immunosorbent AssayGas Chromatography-Mass SpectrometryHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTransfusion Reaction
All Science Classification Codes (ASJC)
Multidisciplinary
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.
ISSN
2045-2322
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30587
DOI
https://doi.org/10.1038/s41598-018-37468-9
Fulltext

Type
Article
Funding
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education [grant number NRF-2017R1A6A3A11028026]; the Bio-Synergy Research Project of the Ministry of Science, ICT and Future Planning through the National Research Foundation (NRF-2012M3A9C4048796); the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2018R1A5A2024425). S.W.K. would like to thank H.J.S. for inspiring the experiment.
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Ahn, Soohyun안수현
Department of Mathematics
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