Literature DB >> 1728314

Characteristics of red blood cell populations fractionated with a combination of counterflow centrifugation and Percoll separation.

F H Bosch1, J M Werre, B Roerdinkholder-Stoelwinder, T H Huls, F L Willekens, M R Halie.   

Abstract

Red blood cell (RBC) fractions were studied after separation of whole blood by means of counterflow centrifugation, Percoll column (Pharmacia, Uppsala, Sweden), and a combination of both separation techniques. Mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC), mean corpuscular hemoglobin (MCH), and hemoglobin A1c (HbA1c) were measured in each fraction. From the results it was obvious that the combination of both techniques was the best separation technique of these three. MCV had a good correlation with cell age as measured with HbA1c concentration gradient; MCH and MCHC less so. MCV and MCH decreased in parallel to an increase in HbA1c. MCHC increased with increasing HbA1c. From these data it is concluded that there is a steadily ongoing loss of cellular hemoglobin and proportionally more cellular water during the life of the RBC.

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Year:  1992        PMID: 1728314

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  31 in total

Review 1.  Aging and death signalling in mature red cells: from basic science to transfusion practice.

Authors:  Marianna H Antonelou; Anastasios G Kriebardis; Issidora S Papassideri
Journal:  Blood Transfus       Date:  2010-06       Impact factor: 3.443

2.  Inappropriately low glycated hemoglobin values and hemolysis in HIV-infected patients.

Authors:  Marie-Emilienne Diop; Jean-Philippe Bastard; Natacha Meunier; Sandrine Thévenet; Mustapha Maachi; Jacqueline Capeau; Gilles Pialoux; Corinne Vigouroux
Journal:  AIDS Res Hum Retroviruses       Date:  2006-12       Impact factor: 2.205

3.  Red blood cell subpopulations in freshly drawn blood: application of proteomics and metabolomics to a decades-long biological issue.

Authors:  Angelo D'Alessandro; Barbara Blasi; Gian Maria D'Amici; Cristina Marrocco; Lello Zolla
Journal:  Blood Transfus       Date:  2012-07-11       Impact factor: 3.443

4.  Donor-dependent aging of young and old red blood cell subpopulations: Metabolic and functional heterogeneity.

Authors:  Olga Mykhailova; Carly Olafson; Tracey R Turner; Angelo DʼAlessandro; Jason P Acker
Journal:  Transfusion       Date:  2020-08-19       Impact factor: 3.157

5.  Red blood cell populations and membrane levels of peroxiredoxin 2 as candidate biomarkers to reveal blood doping.

Authors:  Cristina Marrocco; Valeria Pallotta; Angelo D'alessandro; Gilda Alves; Lello Zolla
Journal:  Blood Transfus       Date:  2012-05       Impact factor: 3.443

6.  Alterations of red blood cell metabolome in overhydrated hereditary stomatocytosis.

Authors:  Dhouha Darghouth; Bérengère Koehl; Jean François Heilier; Geoffrey Madalinski; Petra Bovee; Giel Bosman; Jean Delaunay; Christophe Junot; Paul-Henri Roméo
Journal:  Haematologica       Date:  2011-08-22       Impact factor: 9.941

7.  Acetylcholinesterase provides new insights into red blood cell ageing in vivo and in vitro.

Authors:  Joames K Freitas Leal; Merel J W Adjobo-Hermans; Roland Brock; Giel J C G M Bosman
Journal:  Blood Transfus       Date:  2017-05       Impact factor: 3.443

Review 8.  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

9.  In vivo analysis of Pim-1 deficiency.

Authors:  P W Laird; N M van der Lugt; A Clarke; J Domen; K Linders; J McWhir; A Berns; M Hooper
Journal:  Nucleic Acids Res       Date:  1993-10-11       Impact factor: 16.971

10.  A1C underestimates glycemia in HIV infection.

Authors:  Peter S Kim; Christian Woods; Patrick Georgoff; Dana Crum; Alice Rosenberg; Margo Smith; Colleen Hadigan
Journal:  Diabetes Care       Date:  2009-06-05       Impact factor: 19.112

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