Literature DB >> 26813021

Supernatant protein biomarkers of red blood cell storage hemolysis as determined through an absolute quantification proteomics technology.

Angelo D'Alessandro1, Monika Dzieciatkowska1, Ryan C Hill1, Kirk C Hansen1.   

Abstract

BACKGROUND: Laboratory technologies have highlighted the progressive accumulation of the so-called "storage lesion," a wide series of alterations to stored red blood cells (RBCs) that may affect the safety and effectiveness of the transfusion therapy. New improvements in the field are awaited to ameliorate this lesion, such as the introduction of washing technologies in the cell processing pipeline. Laboratory studies that have tested such technologies so far rely on observational qualitative or semiquantitative techniques. STUDY DESIGN AND METHODS: A state-of-the-art quantitative proteomics approach utilizing quantitative concatamers (QconCAT) was used to simultaneously monitor fluctuations in the abundance of 114 proteins in AS-3 RBC supernatants (n = 5; 11 time points, including before and after leukoreduction, at 3 hours, on Days 1 and 2, and weekly sampling from Day 7 through Day 42).
RESULTS: Leukoreduction-dependent depletion of plasma proteins was observed at the earliest time points. A subset of proteins showed very high linear correlation (r(2)  > 0.9) not only with storage time, but also with absolute levels of hemoglobin α1 and β, a proxy for RBC hemolysis and vesiculation. Linear regression was performed to describe the temporal relationship between these proteins. Our findings suggest a role for supernatant glyceraldehyde-3-phosphate dehydrogenase; peroxiredoxin-1, -2, and -6; carbonic anhydrase-1 and -2; selenium binding protein-1; biliverdin reductase; aminolevulinate dehydratase; and catalase as potential biomarkers of RBC quality during storage.
CONCLUSION: A targeted proteomics technology revealed novel biomarkers of the RBC storage lesion and promises to become a key analytical readout for the development and testing of alternative cell processing strategies.
© 2016 AABB.

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Year:  2016        PMID: 26813021      PMCID: PMC5957548          DOI: 10.1111/trf.13483

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


  45 in total

1.  Red blood cell storage in additive solution-7 preserves energy and redox metabolism: a metabolomics approach.

Authors:  Angelo D'Alessandro; Travis Nemkov; Kirk C Hansen; Zbigniew M Szczepiorkowski; Larry J Dumont
Journal:  Transfusion       Date:  2015-08-14       Impact factor: 3.157

2.  Proteomic analysis of supernatants of stored red blood cell products.

Authors:  Angela M Anniss; Kristen M Glenister; Jessica J Killian; Rosemary L Sparrow
Journal:  Transfusion       Date:  2005-09       Impact factor: 3.157

3.  In-depth analysis of the membrane and cytosolic proteome of red blood cells.

Authors:  Erica M Pasini; Morten Kirkegaard; Peter Mortensen; Hans U Lutz; Alan W Thomas; Matthias Mann
Journal:  Blood       Date:  2006-08-01       Impact factor: 22.113

Review 4.  An update on red blood cell storage lesions, as gleaned through biochemistry and omics technologies.

Authors:  Angelo D'Alessandro; Anastasios G Kriebardis; Sara Rinalducci; Marianna H Antonelou; Kirk C Hansen; Issidora S Papassideri; Lello Zolla
Journal:  Transfusion       Date:  2014-08-06       Impact factor: 3.157

5.  Routine storage of red blood cell (RBC) units in additive solution-3: a comprehensive investigation of the RBC metabolome.

Authors:  Angelo D'Alessandro; Travis Nemkov; Marguerite Kelher; F Bernadette West; Rani K Schwindt; Anirban Banerjee; Ernest E Moore; Christopher C Silliman; Kirk C Hansen
Journal:  Transfusion       Date:  2014-12-30       Impact factor: 3.157

6.  Quantotypic properties of QconCAT peptides targeting bovine host response to Streptococcus uberis.

Authors:  Stine L Bislev; Ulrike Kusebauch; Marius C Codrea; Robert J Beynon; Victoria M Harman; Christine M Røntved; Ruedi Aebersold; Robert L Moritz; Emøke Bendixen
Journal:  J Proteome Res       Date:  2012-02-08       Impact factor: 4.466

Review 7.  The red blood cell proteome and interactome: an update.

Authors:  Angelo D'Alessandro; Pier Giorgio Righetti; Lello Zolla
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

8.  Experimental prestorage filtration removes antibodies and decreases lipids in RBC supernatants mitigating TRALI in vivo.

Authors:  Christopher C Silliman; Marguerite R Kelher; Samina Y Khan; Monica LaSarre; F Bernadette West; Kevin J Land; Barbara Mish; Linda Ceriano; Samuel Sowemimo-Coker
Journal:  Blood       Date:  2014-04-18       Impact factor: 22.113

9.  2015 proceedings of the National Heart, Lung, and Blood Institute's State of the Science in Transfusion Medicine symposium.

Authors:  Steven L Spitalnik; Darrell Triulzi; Dana V Devine; Walter H Dzik; Anne F Eder; Terry Gernsheimer; Cassandra D Josephson; Daryl J Kor; Naomi L C Luban; Nareg H Roubinian; Traci Mondoro; Lisbeth A Welniak; Shimian Zou; Simone Glynn
Journal:  Transfusion       Date:  2015-08-10       Impact factor: 3.157

10.  Progressive oxidation of cytoskeletal proteins and accumulation of denatured hemoglobin in stored red cells.

Authors:  Anastasios G Kriebardis; Marianna H Antonelou; Konstantinos E Stamoulis; Effrosini Economou-Petersen; Lukas H Margaritis; Issidora S Papassideri
Journal:  J Cell Mol Med       Date:  2007 Jan-Feb       Impact factor: 5.310

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  18 in total

Review 1.  Protect, repair, destroy or sacrifice: a role of oxidative stress biology in inter-donor variability of blood storage?

Authors:  Angelo D'Alessandro; Kirk C Hansen; Elan Z Eisenmesser; James C Zimring
Journal:  Blood Transfus       Date:  2019-06-06       Impact factor: 3.443

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.  Duration of red blood cell storage and inflammatory marker generation.

Authors:  Caroline Sut; Sofiane Tariket; Ming Li Chou; Olivier Garraud; Sandrine Laradi; Hind Hamzeh-Cognasse; Jerard Seghatchian; Thierry Burnouf; Fabrice Cognasse
Journal:  Blood Transfus       Date:  2017-03       Impact factor: 3.443

Review 4.  Unraveling the Gordian knot: red blood cell storage lesion and transfusion outcomes.

Authors:  Vassilis L Tzounakas; Anastasios G Kriebardis; Jerard Seghatchian; Issidora S Papassideri; Marianna H Antonelou
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

Review 6.  Cumulative erythrocyte damage in blood storage and relevance to massive transfusions: selective insights into serial morphological and biochemical findings.

Authors:  Jeffrey S Putter; Jerard Seghatchian
Journal:  Blood Transfus       Date:  2017-04-10       Impact factor: 3.443

7.  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

8.  Freeze-dried plasma enhances clot formation and inhibits fibrinolysis in the presence of tissue plasminogen activator similar to pooled liquid plasma.

Authors:  Benjamin R Huebner; Ernest E Moore; Hunter B Moore; Angela Sauaia; Gregory Stettler; Monika Dzieciatkowska; Kirk Hansen; Anirban Banerjee; Christopher C Silliman
Journal:  Transfusion       Date:  2017-05-12       Impact factor: 3.157

Review 9.  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

10.  Systemic hyperfibrinolysis after trauma: a pilot study of targeted proteomic analysis of superposed mechanisms in patient plasma.

Authors:  Anirban Banerjee; Christopher C Silliman; Ernest E Moore; Monika Dzieciatkowska; Marguerite Kelher; Angela Sauaia; Kenneth Jones; Michael P Chapman; Eduardo Gonzalez; Hunter B Moore; Angelo D'Alessandro; Erik Peltz; Benjamin E Huebner; Peter Einerson; James Chandler; Arsen Ghasabayan; Kirk Hansen
Journal:  J Trauma Acute Care Surg       Date:  2018-06       Impact factor: 3.313

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