Evidence map›Paper›PMID 26921359›Full record

ArticleHaematologica2016

Metabolic pathways that correlate with post-transfusion circulation of stored murine red blood cells.

Karen de Wolski, Xiaoyoun Fu, Larry J Dumont, John D Roback, Hayley Waterman, Katherine Odem-Davis, Heather L Howie, James C Zimring

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
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

48 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
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  4. HypomorphicHemaSphere · 2026
    Article
  5. Review
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  7. 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
  8. Article
  9. Superoxide measurement as a novel probe of red blood cell storage quality.Blood transfusion = Trasfusione del sangue · 2023
    Article
  10. 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
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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

8 authors at 2 institutions in 1 country.

Karen de WolskiBloodworks NW Research Institute, Seattle, WA, USA.
Xiaoyoun FuBloodworks NW Research Institute, Seattle, WA, USA University of Washington Department of Internal Medicine, Division of Hematology, Seattle, WA, USA.
Larry J DumontGeisel School of Medicine at Dartmouth, Lebanon.
John D RobackDepartment of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Hayley WatermanBloodworks NW Research Institute, Seattle, WA, USA.
Katherine Odem-DavisBloodworks NW Research Institute, Seattle, WA, USA.
Heather L HowieBloodworks NW Research Institute, Seattle, WA, USA.
James C ZimringBloodworks NW Research Institute, Seattle, WA, USA University of Washington Department of Internal Medicine, Division of Hematology, Seattle, WA, USA University of Washington Department of Laboratory Medicine and Department of Internal Medicine, Division of Hematology, Seattle, WA, USA jzimring@BloodworksNW.org.
Bloodworks Northwest · USEmory University · US

Funding

Serious Hazards of Transfusion & Cellular Therapies: Mechanisms and InterventionP01HL086773 · NHLBI · EMORY UNIVERSITY · PI ROBACK, JOHN D · 2008 to 2019
$17.9M
Adverse effects of RBC transfusions: A unifying hypothesisR01HL095479 · NHLBI · EMORY UNIVERSITY · PI ROBACK, JOHN D · 2009 to 2017
$5.2M
NHLBI NIH HHS P01 HL086773NHLBI NIH HHS R01 HL095479
6 · The paper itself

Abstract

Transfusion of red blood cells is a very common inpatient procedure, with more than 1 in 70 people in the USA receiving a red blood cell transfusion annually. However, stored red blood cells are a non-uniform product, based upon donor-to-donor variation in red blood cell storage biology. While thousands of biological parameters change in red blood cells over storage, it has remained unclear which changes correlate with function of the red blood cells, as opposed to being co-incidental changes. In the current report, a murine model of red blood cell storage/transfusion is applied across 13 genetically distinct mouse strains and combined with high resolution metabolomics to identify metabolic changes that correlated with red blood cell circulation post storage. Oxidation in general, and peroxidation of lipids in particular, emerged as changes that correlated with extreme statistical significance, including generation of dicarboxylic acids and monohydroxy fatty acids. In addition, differences in anti-oxidant pathways known to regulate oxidative stress on lipid membranes were identified. Finally, metabolites were identified that differed at the time the blood was harvested, and predict how the red blood cells perform after storage, allowing the potential to screen donors at time of collection. Together, these findings map out a new landscape in understanding metabolic changes during red blood cell storage as they relate to red blood cell circulation.

Indexed as

Blood PreservationMetabolic Networks and PathwaysAnimalsAntioxidantsBlood TransfusionErythrocytesErythrocyte TransfusionFemaleGenetic Association StudiesGlucoseMaleMetabolomeMetabolomicsMiceMice, Inbred StrainsOxidation-ReductionAntioxidantsGlucose

Identifiers

PMID26921359
PMCPMC5004382
OpenAlexW2295035322

What OpenQuestion holds

Textmetadata
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.