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Accelerated clearance of human red blood cells in a rat transfusion model

Overview of attention for article published in Intensive Care Medicine Experimental, September 2015
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Title
Accelerated clearance of human red blood cells in a rat transfusion model
Published in
Intensive Care Medicine Experimental, September 2015
DOI 10.1186/s40635-015-0064-z
Pubmed ID
Authors

M. Straat, TRL Klei, D. de Korte, R. van Bruggen, NP Juffermans

Abstract

Animal models are valuable in transfusion research. Use of human red blood cells (RBCs) in animal models facilitates extrapolation of the impact of storage conditions to the human condition but may be hampered by the use of cross species. Investigation of clearance and posttransfusion recovery in a rat model using fresh and stored human RBCs. Directly following transfusion, human RBCs could be detected in the circulation of all recipients, with higher recovery rates for stored RBCs than for fresh RBCs. After 24 h following transfusion, no donor RBCs could be detected in the circulation, but donor RBCs could be detected in all organs of all recipients. The use of human donor RBCs in a rat transfusion model resulted in clearance from cells from the circulation. Donor cells were found in different organs of the recipients. Rat transfusion models are thus not appropriate to study the efficacy of human RBC transfusion.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Other 3 14%
Librarian 1 5%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 10 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Immunology and Microbiology 2 9%
Chemical Engineering 1 5%
Computer Science 1 5%
Other 3 14%
Unknown 11 50%