Literature DB >> 18273894

A method for the continuous calculation of the age of labeled red blood cells.

Christopher J Lindsell1, Robert S Franco, Eric P Smith, Clinton H Joiner, Robert M Cohen.   

Abstract

New methods for labeling red blood cells (RBC) and monitoring their survival have made it possible to explore changes in the properties of RBC as they age in the circulation. We have adapted a method, originally developed for studying wild animals, to calculate the age of a random sample of labeled RBC from their survival curve. We also show how this method can be expanded to allow continuous calculation of the mean age of the labeled RBC population at any time after labeling. It is expected that this analytical approach will be useful in the study of age-dependent RBC changes. Copyright 2008 Wiley-Liss, Inc.

Mesh：

Year:  2008        PMID： 18273894     DOI： 10.1002/ajh.21148

Source DB:  PubMed          Journal:  Am J Hematol        ISSN： 0361-8609            Impact factor:   10.047


  17 in total

1.  Measurement of red cell lifespan and aging.

Authors:  Robert S Franco
Journal:  Transfus Med Hemother       Date:  2012-08-27       Impact factor: 3.747

2.  Physiologic Concepts That May Revise the Interpretation and Implications of HbA1C in Clinical Medicine: An American Perspective.

Authors:  Eric P Smith; Robert M Cohen
Journal:  J Diabetes Sci Technol       Date:  2015-02-17

3.  Mean remaining life span: a new clinically relevant parameter to assess the quality of transfused red blood cells.

Authors:  Denison J Kuruvilla; Demet Nalbant; John A Widness; Peter Veng-Pedersen
Journal:  Transfusion       Date:  2014-02-24       Impact factor: 3.157

Review 4.  Biologic variability in plasma glucose, hemoglobin A1c, and advanced glycation end products associated with diabetes complications.

Authors:  R David G Leslie; Robert M Cohen
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

5.  Biochemical surrogate markers of hemolysis do not correlate with directly measured erythrocyte survival in sickle cell anemia.

Authors:  Charles T Quinn; Eric P Smith; Shahriar Arbabi; Paramjit K Khera; Christopher J Lindsell; Omar Niss; Clinton H Joiner; Robert S Franco; Robert M Cohen
Journal:  Am J Hematol       Date:  2016-11-08       Impact factor: 10.047

6.  Use of an oral stable isotope label to confirm variation in red blood cell mean age that influences HbA1c interpretation.

Authors:  Paramjit K Khera; Eric P Smith; Christopher J Lindsell; Mary Colleen Rogge; Shannon Haggerty; David A Wagner; Mary B Palascak; Shilpa Mehta; Jacqueline M Hibbert; Clinton H Joiner; Robert S Franco; Robert M Cohen
Journal:  Am J Hematol       Date:  2015-01       Impact factor: 10.047

Review 7.  Measurement of posttransfusion red cell survival with the biotin label.

Authors:  Donald M Mock; John A Widness; Peter Veng-Pedersen; Ronald G Strauss; Jose A Cancelas; Robert M Cohen; Christopher J Lindsell; Robert S Franco
Journal:  Transfus Med Rev       Date:  2014-04-05

8.  Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c.

Authors:  Robert M Cohen; Robert S Franco; Paramjit K Khera; Eric P Smith; Christopher J Lindsell; Peter J Ciraolo; Mary B Palascak; Clinton H Joiner
Journal:  Blood       Date:  2008-08-11       Impact factor: 22.113

9.  Models for the red blood cell lifespan.

Authors:  Rajiv P Shrestha; Joseph Horowitz; Christopher V Hollot; Michael J Germain; John A Widness; Donald M Mock; Peter Veng-Pedersen; Yossi Chait
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-04-02       Impact factor: 2.745

10.  Mathematical modeling of erythrocyte chimerism informs genetic intervention strategies for sickle cell disease.

Authors:  Philipp M Altrock; Christian Brendel; Raffaele Renella; Stuart H Orkin; David A Williams; Franziska Michor
Journal:  Am J Hematol       Date:  2016-07-14       Impact factor: 10.047
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