Líffræðifélag Íslands - biologia.is
Líffræðiráðstefnan 2017
Erindi/veggspjald / Talk/poster V32
Höfundar / Authors: Aarash Bordbar (1), Pär I. Johansson (2), Giuseppe Paglia (3), Scott J. Harrison (4), Kristine Wichuk (3), Manuela Magnusdottir (3), Sóley Valgeirsdottir (3), Mikkel Gybel-Brask (2), Sisse R. Ostrowski (2), Sirus Palsson (1,3), Ottar Rolfsson (3), Olafur E. Sigurjónsson (5,6), Morten B. Hansen (2), Sveinn Gudmundsson (5) and Bernhard O. Palsson (3)
Starfsvettvangur / Affiliations: 1. Sinopia Biosciences, San Diego, California, 2. Section for Transfusion Medicine, Capital Region Blood Bank, Rigshopitalet, University of Copenhagen, Copenhagen, Denmark, 3. Center for Systems Biology, University of Iceland, Reykjavik, Iceland. 4. Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark, 5. Blood Bank, Landspitali-University Hospital, 6. School of Science and Engineering, Reykjavik University, Reykjavik, Iceland
Kynnir / Presenter: Ólafur E. Sigurjónsson
Background
There has been interest in determining whether older red blood cell (RBC) units have negative clinical effects. Numerous observational studies have shown that older RBC units are an independent factor for patient mortality. However, recently published randomized clinical trials have shown no difference of clinical outcome for patients receiving old or fresh RBCs. An overlooked but essential issue in assessing RBC unit quality and ultimately designing the necessary clinical trials is a metric for what constitutes an old or fresh RBC unit.
Aims
In this study, we utilized comprehensive metabolite profiling and systems biology methods to determine the biochemical changes of stored RBCs.
Study design and methods
Twenty RBC units were profiled using quantitative metabolomics over 42 days of storage in SAGM with 3- to 4-day time intervals. Metabolic pathway usage during storage was assessed using systems biology methods. The detected time intervals of the metabolic states were compared to clinical outcomes.
Results
Using multivariate statistics, we identified a nonlinear decay process exhibiting three distinct metabolic states (Days 0-10, 10-17, and 17-42). Systemic changes in pathway usage occurred between the three states, with key pathways changing in both magnitude and direction. Finally, an association was found between the time periods of the metabolic states with the clinical outcomes of more than 280,000 patients in the country of Denmark transfused over the past 15 years and endothelial damage markers in healthy volunteers undergoing autologous transfusions.
Conclusion
The state of RBC metabolism may be a better indicator of cellular quality than traditional hematologic variables.