Evidence map›Paper›PMID 26813021›Full record

ArticleTransfusion2016

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

Angelo D'Alessandro, Monika Dzieciatkowska, Ryan C Hill, Kirk C Hansen

Abstract read
In one paragraph

Article in Transfusion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. High-Throughput Metabolomics in Transfusion Medicine.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. It's in your blood: The impact of age, sex, genetic factors and exposures on stored red blood cell metabolism.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2024
    Review
  3. Red Blood Cell Omics and Machine Learning in Transfusion Medicine: Singularity Is Near.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  4. Hemorrhagic shock and tissue injury provoke distinct components of trauma-induced coagulopathy in a swine model.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Article
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  13. Observational
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  16. Red blood cells ageing markers: a multi-parametric analysis.Blood transfusion = Trasfusione del sangue · 2017
    Article
  17. Duration of red blood cell storage and inflammatory marker generation.Blood transfusion = Trasfusione del sangue · 2017
    Review
  18. Omics markers of the red cell storage lesion and metabolic linkage.Blood transfusion = Trasfusione del sangue · 2017
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Angelo D'AlessandroDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Monika DzieciatkowskaDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Ryan C HillDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Kirk C HansenDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.

Funding

Trauma Reprograms CellsP50GM049222 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI BANERJEE, ANIRBAN · 1993 to 2017
$26.1M
NIGMS NIH HHS P50 GM049222
6 · The paper itself

Abstract

backgroundLaboratory 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

methodsA 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).

resultsLeukoreduction-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.

conclusionA 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.

Indexed as

HemolysisBiomarkersBlood PreservationBlood ProteinsErythrocytesHumansLeukocyte Reduction ProceduresProteomicsTime FactorsBiomarkersBlood Proteins

Identifiers

PMID26813021
PMCPMC5957548

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.