Evidence map›Paper›PMID 30353560›Full record

ArticleTransfusion2019

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.

Angelo D'Alessandro, Rachel Culp-Hill, Julie A Reisz, Mikayla Anderson, Xiaoyun Fu, Travis Nemkov, Sarah Gehrke, Connie Zheng, Tamir Kanias, Yuelong Guo and 8 more

Abstract read
In one paragraph

Article in Transfusion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. HypomorphicHemaSphere · 2026
    Article
  9. Red Blood Cell Storage and Post-transfusion Recovery.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. 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
  17. Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Angelo D'AlessandroDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Rachel Culp-HillDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Julie A ReiszDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Mikayla AndersonBloodWorks Northwest, Seattle, Washington.
Xiaoyun FuBloodWorks Northwest, Seattle, Washington.
Travis NemkovDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Sarah GehrkeDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Connie ZhengDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado.
Tamir KaniasUniversity of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0001-6558-0913
Yuelong GuoRTI, Pittsburgh, Pennsylvania.
Grier PageRTI, Pittsburgh, Pennsylvania.
Mark T GladwinUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Steve KleinmanBlood Systems Research Institute, Denver, Colorado.
Marion LanteriBlood Systems Research Institute, San Francisco, California.
Mars StoneBlood Systems Research Institute, San Francisco, California.ORCID 0000-0001-5619-2767
Michael BuschBlood Systems Research Institute, San Francisco, California.
James C ZimringBloodWorks Northwest, Seattle, Washington.
Recipient Epidemiology and Donor Evaluation Study-III (REDS-III)

Funding

Storage Lesion in Banked Blood Due to Disruption of Nitric Oxide HomeostasisR01HL098032 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Mark T Gladwin · 2009 to 2026
$12.5M
Translational Pulmonary Vascular Biology ProgramT32HL007171 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Sonia Castro Flores, Tim Lahm · 1985 to 2026
$9.4M
Quadrupole-Orbitrap Mass SpectrometerS10OD021641 · OD · UNIVERSITY OF COLORADO DENVER · PI HANSEN, KIRK C · 2017 to 2017
$600k
NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009INHLBI NIH HHS R01 HL098032NHLBI NIH HHS T32 HL007171NIH HHS S10 OD021641
6 · The paper itself

Abstract

backgroundBiological and technical variability has been increasingly appreciated as a key factor impacting red blood cell (RBC) storability and, potentially, transfusion outcomes. Here, we performed metabolomics analyses to investigate the impact of factors other than storage duration on the metabolic phenotypes of stored RBC in a multicenter study. STUDY DESIGN AND

methodsWithin the framework of the REDS-III (Recipient Epidemiology and Donor Evaluation Study-III) RBC-Omics study, 13,403 donors were enrolled from four blood centers across the United States and tested for the propensity of their RBCs to hemolyze after 42 days of storage. Extreme hemolyzers were recalled and donated a second unit of blood. Units were stored for 10, 23, and 42 days prior to sample acquisition for metabolomics analyses.

resultsUnsupervised analyses of metabolomics data from 599 selected samples revealed a strong impact (14.2% of variance) of storage duration on metabolic phenotypes of RBCs. The blood center collecting and processing the units explained an additional 12.2% of the total variance, a difference primarily attributable to the storage additive (additive solution 1 vs. additive solution 3) used in the different hubs. Samples stored in mannitol-free/citrate-loaded AS-3 were characterized by elevated levels of high-energy compounds, improved glycolysis, and glutathione homeostasis. Increased methionine metabolism and activation of the transsulfuration pathway was noted in samples processed in the center using additive solution 1.

conclusionBlood processing impacts the metabolic heterogeneity of stored RBCs from the largest multicenter metabolomics study in transfusion medicine to date. Studies are needed to understand if these metabolic differences influenced by processing/storage strategies impact the effectiveness of transfusions clinically.

Indexed as

Analysis of VarianceBlood PreservationErythrocytesGlycolysisHumansIn Vitro TechniquesMetabolomicsMethionineMultivariate AnalysisTime FactorsMethionine

Identifiers

PMID30353560
PMCPMC6322946

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.