Líffræðifélag Íslands - biologia.is
Líffræðiráðstefnan 2017
Erindi/veggspjald / Talk/poster V31
Höfundar / Authors: Giuseppe Paglia (1), Angelo D’Alessandro (2), Óttar Rolfsson (3), Ólafur E. Sigurjónsson (4,5), Aarash Bordbar (6), Sirus Palsson (6), Travis Nemkov (2), Kirk C. Hansen (2), Sveinn Gudmundsson (4) and Bernhard O. Palsson (3)
Starfsvettvangur / Affiliations: 1. Center for Biomedicine, European Academy of Bolzano/Bozen, Bolzano, Italy, 2. Department of Biochemistry and Molecular Genetics, University of Colorado Denver School of Medicine, University of Colorado 3. Center for Systems Biology, University of Iceland, Reykjavik, Iceland; 4. The Blood Bank, Landspitali-University Hospital, Reykjavik, Iceland 5. School of Science and Engineering, Reykjavik University, Reykjavik, Iceland; and 6. Sinopia Biosciences, San Diego, California.
Kynnir / Presenter: Ólafur E. Sigurjónsson
Background
More than 100 million red blood cell (RBC) units are collected yearly worldwide. Processing strategies, storage solutions, and maximum allowed shelf-lives are not universal and vary across regions. Refrigerated storage promotes the onset of complex biochemical and physiological changes to RBCs, collectively known as the “storage lesion.Metabolomic investigations of packed red blood cells (RBCs) stored under refrigerated conditions in saline adenine glucose mannitol (SAGM) additives have revealed the presence of 3 distinct metabolic phases, occurring on days 0-10, 10-18, and after day 18 of storage.
Aims
Here we used receiving operating characteristics curve analysis to identify biomarkers that can differentiate between the 3 metabolic states.
Study design and methods
308 samples coming from RBC concentrates stored in SAGM and additive solution 3 using Ultra high performance liquid chromatography (UHPLC)-MS metabolomics analysis.
Results
We found that 8 extracellular compounds (lactic acid, nicotinamide, 5-oxoproline, xanthine, hypoxanthine, glucose, malic acid, and adenine) form the basis for an accurate classification/regression model and are able to differentiate among the metabolic phases. This model was then validated by analyzing an additional 49 samples obtained by preparing 7 new RBC concentrates in SAGM. Despite the technical variability associated with RBC processing strategies, verification of these markers was independently confirmed in 2 separate laboratories with different analytical setups and different sample sets.
Conclusion
The 8 compounds proposed here highly correlate with the metabolic age of packed RBCs, and can be prospectively validated as biomarkers of the RBC metabolic lesion.