Literature DB >> 24840017

Comprehensive metabolomic study of platelets reveals the expression of discrete metabolic phenotypes during storage.

Giuseppe Paglia1, Ólafur E Sigurjónsson, Óttar Rolfsson, Soley Valgeirsdottir, Morten Bagge Hansen, Sigurður Brynjólfsson, Sveinn Gudmundsson, Bernhard O Palsson.   

Abstract

BACKGROUND: Platelet (PLT) concentrates are routinely stored for 5 to 7 days. During storage they exhibit what has been termed PLT storage lesion (PSL), which is evident by a loss of hemostatic function when transfused into patients. The overall goal of this study was to obtain a comprehensive data set describing PLT metabolism during storage. STUDY DESIGN AND METHODS: The experimental approach adopted to achieve this goal combined a series of standard assays to monitor the quality of stored PLTs and a deep-coverage metabolomics study using liquid chromatography coupled with mass spectrometry performed on both the extracellular and the intracellular environments. During storage we measured 174 different variables in 6 PLT units, collected by apheresis. Samples were collected at eight different time points resulting in a data set containing more than 8000 measurements.
RESULTS: Stored PLTs did not undergo a monotonic decay, but experienced systematic changes in metabolism reflected in three discrete metabolic phenotypes: The first (Days 0-3) was associated with active glycolysis, pentose phosphate pathway, and glutathione metabolism and down regulation of tricarboxylic acid (TCA) cycle. The second (Days 4-6) was associated with a more active TCA cycle as well as increased purine metabolism. A third metabolic phenotype of less clinical relevance (Days 7-10) was associated with a faster decay of cellular metabolism.
CONCLUSION: PSL is not associated with a linear decay of metabolism, but rather with successive metabolic shifts. These findings may give new insight into the mechanisms underlying PSL and encourage the deployment of systems biology methods to PSL.
© 2014 AABB.

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Year:  2014        PMID: 24840017     DOI: 10.1111/trf.12710

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


  14 in total

1.  Flow cytometry analysis of platelet populations: usefulness for monitoringthe storage lesion in pooled buffy-coat platelet concentrates.

Authors:  Dušan Vučetić; Vesna Ilić; Danilo Vojvodić; Vesna Subota; Milena Todorović; Bela Balint
Journal:  Blood Transfus       Date:  2016-12-21       Impact factor: 3.443

2.  Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks.

Authors:  James T Yurkovich; Daniel C Zielinski; Laurence Yang; Giuseppe Paglia; Ottar Rolfsson; Ólafur E Sigurjónsson; Jared T Broddrick; Aarash Bordbar; Kristine Wichuk; Sigurður Brynjólfsson; Sirus Palsson; Sveinn Gudmundsson; Bernhard O Palsson
Journal:  J Biol Chem       Date:  2017-10-13       Impact factor: 5.157

3.  Metabolic tracing analysis reveals substrate-specific metabolic deficits in platelet storage lesion.

Authors:  Carrie Sims; Noelle Salliant; Andrew J Worth; Robert Parry; Clementina Mesaros; Ian A Blair; Nathaniel W Snyder
Journal:  Transfusion       Date:  2017-08-23       Impact factor: 3.157

4.  Dissecting the metabolic pathways controlling platelet survival in vivo: are our platelets what they eat?

Authors:  Shailaja Hegde; Jose A Cancelas
Journal:  Transfusion       Date:  2016-08       Impact factor: 3.157

5.  Metabolic phenotypes of standard and cold-stored platelets.

Authors:  Angelo D'Alessandro; Kimberly A Thomas; Davide Stefanoni; Fabia Gamboni; Susan M Shea; Julie A Reisz; Philip C Spinella
Journal:  Transfusion       Date:  2019-12-27       Impact factor: 3.157

Review 6.  Metabolomics in transfusion medicine.

Authors:  Travis Nemkov; Kirk C Hansen; Larry J Dumont; Angelo D'Alessandro
Journal:  Transfusion       Date:  2015-12-12       Impact factor: 3.157

7.  Unbiased Metabolomic Investigation of Alzheimer's Disease Brain Points to Dysregulation of Mitochondrial Aspartate Metabolism.

Authors:  Giuseppe Paglia; Matteo Stocchero; Stefano Cacciatore; Steven Lai; Peggi Angel; Mohammad Tauqeer Alam; Markus Keller; Markus Ralser; Giuseppe Astarita
Journal:  J Proteome Res       Date:  2016-01-12       Impact factor: 4.466

8.  Isotopically nonstationary 13C metabolic flux analysis in resting and activated human platelets.

Authors:  Cara L Sake; Alexander J Metcalf; Michelle Meagher; Jorge Di Paola; Keith B Neeves; Nanette R Boyle
Journal:  Metab Eng       Date:  2021-12-22       Impact factor: 9.783

9.  14-3-3ζ regulates the mitochondrial respiratory reserve linked to platelet phosphatidylserine exposure and procoagulant function.

Authors:  Simone M Schoenwaelder; Roxane Darbousset; Susan L Cranmer; Hayley S Ramshaw; Stephanie L Orive; Sharelle Sturgeon; Yuping Yuan; Yu Yao; James R Krycer; Joanna Woodcock; Jessica Maclean; Stuart Pitson; Zhaohua Zheng; Darren C Henstridge; Dianne van der Wal; Elizabeth E Gardiner; Michael C Berndt; Robert K Andrews; David E James; Angel F Lopez; Shaun P Jackson
Journal:  Nat Commun       Date:  2016-09-27       Impact factor: 14.919

10.  Monitoring storage induced changes in the platelet proteome employing label free quantitative mass spectrometry.

Authors:  Maaike Rijkers; Bart L van den Eshof; Pieter F van der Meer; Floris P J van Alphen; Dirk de Korte; Frank W G Leebeek; Alexander B Meijer; Jan Voorberg; A J Gerard Jansen
Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

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