Literature DB >> 27491795

Metabolic fate of adenine in red blood cells during storage in SAGM solution.

Giuseppe Paglia1,2, Ólafur E Sigurjónsson3,4, Aarash Bordbar5, Óttar Rolfsson6, Manuela Magnusdottir6, Sirus Palsson6,5, Kristine Wichuk6, Sveinn Gudmundsson3, Bernhard O Palsson6.   

Abstract

BACKGROUND: Red blood cells (RBCs) are routinely stored and transfused worldwide. Recently, metabolomics have shown that RBCs experience a three-phase metabolic decay process during storage, resulting in the definition of three distinct metabolic phenotypes, occurring between Days 1 and 10, 11 and 17, and 18 and 46. Here we use metabolomics and stable isotope labeling analysis to study adenine metabolism in RBCs. STUDY DESIGN AND METHODS: A total of 6 units were prepared in SAGM or modified additive solutions (ASs) containing 15 N5 -adenine. Three of them were spiked with 15 N5 -adenine on Days 10, 14, and 17 during storage. Each unit was sampled 10 times spanning Day 1 to Day 32. At each time point metabolic profiling was performed.
RESULTS: We increased adenine concentration in the AS and we pulsed the adenine concentration during storage and found that in both cases the RBCs' main metabolic pathways were not affected. Our data clearly show that RBCs cannot consume adenine after 18 days of storage, even if it is still present in the storage solution. However, increased levels of adenine influenced S-adenosylmethionine metabolism.
CONCLUSION: In this work, we have studied in detail the metabolic fate of adenine during RBC storage in SAGM. Adenine is one of the main substrates used by RBCs, but the metabolic shift observed during storage is not caused by an absence of adenine later in storage. The rate of adenine consumption strongly correlated with duration of storage but not with the amount of adenine present in the AS.
© 2016 AABB.

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Year:  2016        PMID: 27491795     DOI: 10.1111/trf.13740

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  18 in total

1.  Metabolic effect of alkaline additives and guanosine/gluconate in storage solutions for red blood cells.

Authors:  Angelo D'Alessandro; Julie A Reisz; Rachel Culp-Hill; Herbert Korsten; Robin van Bruggen; Dirk de Korte
Journal:  Transfusion       Date:  2018-04-06       Impact factor: 3.157

Review 2.  Omics markers of the red cell storage lesion and metabolic linkage.

Authors:  Angelo D'alessandro; Travis Nemkov; Julie Reisz; Monika Dzieciatkowska; Matthew J Wither; Kirk C Hansen
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

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.

Authors:  Angelo D'Alessandro; Julie A Reisz; Yingze Zhang; Sarah Gehrke; Keisha Alexander; Tamir Kanias; Darrell J Triulzi; Chenell Donadee; Suchitra Barge; Jessica Badlam; Shilpa Jain; Michael G Risbano; Mark T Gladwin
Journal:  Blood Adv       Date:  2019-03-26

5.  Electron paramagnetic resonance oximetry as a novel approach to monitor the effectiveness and quality of red blood cell transfusions.

Authors:  Huagang Hou; Jin H Baek; Hao Zhang; Francine Wood; Yamei Gao; Ann B Flood; Harold M Swartz; Paul W Buehler
Journal:  Blood Transfus       Date:  2019-05-16       Impact factor: 3.443

6.  Methylation of protein aspartates and deamidated asparagines as a function of blood bank storage and oxidative stress in human red blood cells.

Authors:  Julie A Reisz; Travis Nemkov; Monika Dzieciatkowska; Rachel Culp-Hill; Davide Stefanoni; Ryan C Hill; Tatsuro Yoshida; Andrew Dunham; Tamir Kanias; Larry J Dumont; Michael Busch; Elan Z Eisenmesser; James C Zimring; Kirk C Hansen; Angelo D'Alessandro
Journal:  Transfusion       Date:  2018-10-12       Impact factor: 3.157

7.  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

8.  Transition to 37°C reveals importance of NADPH in mitigating oxidative stress in stored RBCs.

Authors:  Aline Roch; Nicholas J Magon; Jessica Maire; Cacang Suarna; Anita Ayer; Sophie Waldvogel; Beat A Imhof; Mark J Koury; Roland Stocker; Marc Schapira
Journal:  JCI Insight       Date:  2019-11-01

9.  Pre-analytic evaluation of volumetric absorptive microsampling and integration in a mass spectrometry-based metabolomics workflow.

Authors:  Chiara Volani; Giulia Caprioli; Giovanni Calderisi; Baldur B Sigurdsson; Johannes Rainer; Ivo Gentilini; Andrew A Hicks; Peter P Pramstaller; Guenter Weiss; Sigurdur V Smarason; Giuseppe Paglia
Journal:  Anal Bioanal Chem       Date:  2017-08-17       Impact factor: 4.142

10.  Biomarkers are used to predict quantitative metabolite concentration profiles in human red blood cells.

Authors:  James T Yurkovich; Laurence Yang; Bernhard O Palsson
Journal:  PLoS Comput Biol       Date:  2017-03-06       Impact factor: 4.475

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