Literature DB >> 28370161

Metabolomics comparison of red cells stored in four additive solutions reveals differences in citrate anticoagulant permeability and metabolism.

Ó Rolfsson1,2, Ó E Sigurjonsson3,4, M Magnusdottir1, F Johannsson1,2, G Paglia1,5, S Guðmundsson3, A Bordbar6, S Palsson6, S Brynjólfsson1, S Guðmundsson3, B Palsson1.   

Abstract

BACKGROUND AND OBJECTIVES: Metabolomics studies have revealed transition points in metabolic signatures of red cells during storage in SAGM, whose clinical significance is unclear. We set out to investigate whether these transition points occur independent of storage media and define differences in the metabolism of red cells in additive solutions.
MATERIALS AND METHODS: Red cell concentrates were stored in SAGM, AS-1, AS-3 or PAGGSM, and sampled fourteen times spanning Day 1-46. Following quality control, the samples were split into extracellular and intracellular aliquots. These were analysed with ultra-high-performance liquid chromatography coupled to mass spectrometry analysis affording quantitative metabolic profiles of both intra- and extracellular red cell metabolites.
RESULTS: Differences were observed in glycolysis, purine salvage, glutathione synthesis and citrate metabolism on account of the storage solutions. Donor variability however hindered the accurate characterization of metabolic transition time-points. Intracellular citrate concentrations were increased in red cells stored in AS-3 and PAGGSM media. The metabolism of citrate in red cells in SAGM was subsequently confirmed using 13 C citrate isotope labelling and shown to originate from citrate anticoagulant.
CONCLUSION: Metabolic signatures that discriminate between 'fresh' and 'old' stored red cells are dependent upon additive solutions. Specifically, the incorporation and metabolism of citrate in additive solutions with lower chloride ion concentration is altered and impacts glycolysis.
© 2017 International Society of Blood Transfusion.

Entities:  

Keywords:  SAGM; citrate; metabolomics; red cell storage; storage lesion

Mesh:

Substances:

Year:  2017        PMID: 28370161     DOI: 10.1111/vox.12506

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  17 in total

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Review 2.  Protect, repair, destroy or sacrifice: a role of oxidative stress biology in inter-donor variability of blood storage?

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Review 3.  Red blood cell storage lesion: causes and potential clinical consequences.

Authors:  Tatsuro Yoshida; Michel Prudent; Angelo D'alessandro
Journal:  Blood Transfus       Date:  2019-01       Impact factor: 3.443

4.  Effects of aged stored autologous red blood cells on human plasma metabolome.

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Journal:  Blood Adv       Date:  2019-03-26

5.  Effects of red blood cell (RBC) transfusion on sickle cell disease recipient plasma and RBC metabolism.

Authors:  Rachel Culp-Hill; Amudan J Srinivasan; Sarah Gehrke; Reed Kamyszek; Andrea Ansari; Nirmish Shah; Ian Welsby; Angelo D'Alessandro
Journal:  Transfusion       Date:  2018-09-28       Impact factor: 3.157

6.  Nicotine exposure increases markers of oxidant stress in stored red blood cells from healthy donor volunteers.

Authors:  Davide Stefanoni; Xiaoyun Fu; Julie A Reisz; Tamir Kanias; Travis Nemkov; Grier P Page; Larry Dumont; Nareg Roubinian; Mars Stone; Steve Kleinman; Michael Busch; James C Zimring; Angelo D'Alessandro
Journal:  Transfusion       Date:  2020-05-08       Impact factor: 3.157

7.  Ethyl glucuronide, a marker of alcohol consumption, correlates with metabolic markers of oxidant stress but not with hemolysis in stored red blood cells from healthy blood donors.

Authors:  Angelo D'Alessandro; Xiaoyun Fu; Julie A Reisz; Mars Stone; Steve Kleinman; James C Zimring; Michael Busch
Journal:  Transfusion       Date:  2020-05-08       Impact factor: 3.157

8.  Red Blood Cell Metabolic Responses to Torpor and Arousal in the Hibernator Arctic Ground Squirrel.

Authors:  Sarah Gehrke; Sarah Rice; Davide Stefanoni; Rebecca B Wilkerson; Travis Nemkov; Julie A Reisz; Kirk C Hansen; Alfredo Lucas; Pedro Cabrales; Kelly Drew; Angelo D'Alessandro
Journal:  J Proteome Res       Date:  2019-02-28       Impact factor: 4.466

9.  Heterogeneity of blood processing and storage additives in different centers impacts stored red blood cell metabolism as much as storage time: lessons from REDS-III-Omics.

Authors:  Angelo D'Alessandro; Rachel Culp-Hill; Julie A Reisz; Mikayla Anderson; Xiaoyun Fu; Travis Nemkov; Sarah Gehrke; Connie Zheng; Tamir Kanias; Yuelong Guo; Grier Page; Mark T Gladwin; Steve Kleinman; Marion Lanteri; Mars Stone; Michael Busch; James C Zimring
Journal:  Transfusion       Date:  2018-10-24       Impact factor: 3.157

10.  Stored RBC metabolism as a function of caffeine levels.

Authors:  Angelo D'Alessandro; Xiaoyun Fu; Julie A Reisz; Tamir Kanias; Grier P Page; Mars Stone; Steve Kleinman; James C Zimring; Michael Busch
Journal:  Transfusion       Date:  2020-05-11       Impact factor: 3.157

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