Show simple item record

dc.contributor.authorPaglia, Giuseppe
dc.contributor.authorD'Alessandro, Angelo
dc.contributor.authorRolfsson, Óttar
dc.contributor.authorSigurjónsson, Ólafur E
dc.contributor.authorBordbar, Aarash
dc.contributor.authorPalsson, Sirus
dc.contributor.authorNemkov, Travis
dc.contributor.authorHansen, Kirk C
dc.contributor.authorGudmundsson, Sveinn
dc.contributor.authorPalsson, Bernhard O
dc.date.accessioned2016-11-11T13:09:08Z
dc.date.available2016-11-11T13:09:08Z
dc.date.issued2016-09-29
dc.date.submitted2016
dc.identifier.citationBiomarkers defining the metabolic age of red blood cells during cold storage. 2016, 128 (13):e43-50 Blooden
dc.identifier.issn1528-0020
dc.identifier.pmid27554084
dc.identifier.doi10.1182/blood-2016-06-721688
dc.identifier.urihttp://hdl.handle.net/2336/620059
dc.descriptionTo access publisher's full text version of this article click on the hyperlink at the bottom of the pageen
dc.description.abstractMetabolomic 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. Here we used receiving operating characteristics curve analysis to identify biomarkers that can differentiate between the 3 metabolic states. We first recruited 24 donors and analyzed 308 samples coming from RBC concentrates stored in SAGM and additive solution 3. 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. 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.
dc.description.sponsorshipinfo:eu-repo/grantAgreement/EC/FP7/232816 National Blood Foundation Linda Crnic Instituteen
dc.languageENG
dc.language.isoenen
dc.publisherAmer Soc Hematologyen
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/232816en
dc.relation.urlhttp://dx.doi.org/ 10.1182/blood-2016-06-721688en
dc.relation.urlhttp://www.bloodjournal.org/content/bloodjournal/128/13/e43.full.pdfen
dc.rightsclosedAccessen
dc.subjectBlóðgjöfen
dc.subjectNAF12
dc.subjectBAB12
dc.subject.meshBlood Preservationen
dc.subject.meshMeta-Analysis as Topicen
dc.subject.meshBlood Transfusionen
dc.subject.meshTimeen
dc.titleBiomarkers defining the metabolic age of red blood cells during cold storage.en
dc.typearticleen
dc.contributor.department[ 1 ] European Acad Bozen Bolzano, Ctr Biomed, Via Galvani 31, I-39100 Bolzano, Italy [ 2 ] Univ Colorado Denver, Sch Med, Dept Biochem & Mol Genet, Aurora, CO USA [ 3 ] Univ Iceland, Ctr Syst Biol, Reykjavik, Iceland [ 4 ] Landspitali Univ Hosp, Blood Bank, Reykjavik, Iceland   Organization-Enhanced Name(s)      Landspitali National University Hospital [ 5 ] Reykjavik Unvers, Sch Sci & Engn, Reykjavik, Iceland [ 6 ] Sinopia Biosci, San Diego, CA USAen
dc.identifier.journalBlooden
dc.rights.accessOpen Access - Opinn aðganguren
html.description.abstractMetabolomic 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. Here we used receiving operating characteristics curve analysis to identify biomarkers that can differentiate between the 3 metabolic states. We first recruited 24 donors and analyzed 308 samples coming from RBC concentrates stored in SAGM and additive solution 3. 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. 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.


This item appears in the following Collection(s)

Show simple item record