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Metabolic fate of adenine in red blood cells during storage in SAGM solution

Overview of attention for article published in Transfusion, August 2016
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Article details
Title
Metabolic fate of adenine in red blood cells during storage in SAGM solution
Published in
Transfusion, August 2016
DOI 10.1111/trf.13740
Pubmed ID
Authors
Abstract

Red blood cells (RBCs) are routinely stored and transfused worldwide. Recently, metabolomics have shown that RBCs experience a three-phase metabolic decay process during storage, resulting in the definition of three distinct metabolic phenotypes, occurring between Days 1 and 10, 11 and 17, and 18 and 46. Here we use metabolomics and stable isotope labeling analysis to study adenine metabolism in RBCs. A total of 6 units were prepared in SAGM or modified additive solutions (ASs) containing (15) N5 -adenine. Three of them were spiked with (15) N5 -adenine on Days 10, 14, and 17 during storage. Each unit was sampled 10 times spanning Day 1 to Day 32. At each time point metabolic profiling was performed. We increased adenine concentration in the AS and we pulsed the adenine concentration during storage and found that in both cases the RBCs' main metabolic pathways were not affected. Our data clearly show that RBCs cannot consume adenine after 18 days of storage, even if it is still present in the storage solution. However, increased levels of adenine influenced S-adenosylmethionine metabolism. In this work, we have studied in detail the metabolic fate of adenine during RBC storage in SAGM. Adenine is one of the main substrates used by RBCs, but the metabolic shift observed during storage is not caused by an absence of adenine later in storage. The rate of adenine consumption strongly correlated with duration of storage but not with the amount of adenine present in the AS.

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The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Other 2 6%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 12 34%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Agricultural and Biological Sciences 4 11%
Medicine and Dentistry 4 11%
Engineering 2 6%
Nursing and Health Professions 1 3%
Other 1 3%
Unknown 15 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2016.
All research outputs
#21,938,746
of 24,477,448 outputs
Outputs from Transfusion
#4,183
of 4,483 outputs
Outputs of similar age
#332,821
of 375,015 outputs
Outputs of similar age from Transfusion
#47
of 53 outputs
Altmetric has tracked 24,477,448 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,483 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.