Literature DB >> 26749434

Identified metabolic signature for assessing red blood cell unit quality is associated with endothelial damage markers and clinical outcomes.

Aarash Bordbar1, Pär I Johansson2, Giuseppe Paglia3, Scott J Harrison4, Kristine Wichuk3, Manuela Magnusdottir3, Sóley Valgeirsdottir3, Mikkel Gybel-Brask2, Sisse R Ostrowski2, Sirus Palsson1,3, Ottar Rolfsson3, Olafur E Sigurjónsson5,6, Morten B Hansen2, Sveinn Gudmundsson5, Bernhard O Palsson3.   

Abstract

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. 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). Hematologic variables traditionally measured in the transfusion setting (e.g., pH, hemolysis, RBC indices) did not distinguish these three states. 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.
© 2016 AABB.

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Year:  2016        PMID: 26749434     DOI: 10.1111/trf.13460

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


  36 in total

1.  Big Data: Challenges and opportunities for clinical pharmacology.

Authors:  David Flockhart; Robert R Bies; Marc R Gastonguay; Sorell L Schwartz
Journal:  Br J Clin Pharmacol       Date:  2016-03-04       Impact factor: 4.335

2.  A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways.

Authors:  Travis Nemkov; Kirk C Hansen; Angelo D'Alessandro
Journal:  Rapid Commun Mass Spectrom       Date:  2017-04-30       Impact factor: 2.419

Review 3.  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

4.  Interpreting the deluge of omics data: new approaches offer new possibilities.

Authors:  Aarash Bordbar
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

Review 5.  Purinergic control of red blood cell metabolism: novel strategies to improve red cell storage quality.

Authors:  Kaiqi Sun; Angelo D'alessandro; Yang Xia
Journal:  Blood Transfus       Date:  2017-04-12       Impact factor: 3.443

6.  Red blood cells ageing markers: a multi-parametric analysis.

Authors:  Manon Bardyn; Benjamin Rappaz; Keyvan Jaferzadeh; David Crettaz; Jean-Daniel Tissot; Inkyu Moon; Gerardo Turcatti; Niels Lion; Michel Prudent
Journal:  Blood Transfus       Date:  2017-05       Impact factor: 3.443

Review 7.  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

Review 8.  Red blood cell storage time and transfusion: current practice, concerns and future perspectives.

Authors:  María García-Roa; María Del Carmen Vicente-Ayuso; Alejandro M Bobes; Alexandra C Pedraza; Ataúlfo González-Fernández; María Paz Martín; Isabel Sáez; Jerard Seghatchian; Laura Gutiérrez
Journal:  Blood Transfus       Date:  2017-05       Impact factor: 3.443

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.  Effects of shorter versus longer storage time of transfused red blood cells in adult ICU patients: a systematic review with meta-analysis and Trial Sequential Analysis.

Authors:  Sofie L Rygård; Andreas B Jonsson; Martin B Madsen; Anders Perner; Lars B Holst; Pär I Johansson; Jørn Wetterslev
Journal:  Intensive Care Med       Date:  2018-01-25       Impact factor: 17.440

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