Literature DB >> 9435593

Erythrocyte aggregation tendency and cellular properties in horse, human, and rat: a comparative study.

O K Baskurt1, R A Farley, H J Meiselman.   

Abstract

Horse blood has a higher tendency to form red blood cell (RBC) aggregates compared with human blood, with this enhanced aggregation previously attributed to differences in plasma factors. Our results confirm this observation and further indicate that washed horse RBC also have a significantly higher aggregation tendency in dextran 70 solutions (i.e., horse RBC have a higher "aggregability"). In contrast, the aggregation tendency of rat RBC, both in autologous plasma and in dextran 70, is significantly less compared with human and horse RBC. Other rheological findings for horse and rat RBC include smaller changes in RBC deformation indexes over the same shear stress range and a lower RBC shape recovery time constant. Rat RBC also had higher two-phase aqueous polymer partition coefficients, suggesting a higher surface charge. Membrane protein analysis by sodium dodecyl sulfate-polyacrylamide gel electrophoresis revealed marked differences: 1) band 4.2 protein was lacking in horse RBC membranes, and 2) carbohydrate groups have different distributions in human, rat, and horse RBC, as indicated by different patterns in periodic acid-Schiff-stained protein bands. Our results clearly indicate significant differences in RBC aggregability among the three species and indicate that cellular factors contribute importantly to these differences. Furthermore, they suggest that systematic studies of blood and RBC from different species should provide insight into the mechanism(s) of RBC aggregation.

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Year:  1997        PMID: 9435593     DOI: 10.1152/ajpheart.1997.273.6.H2604

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  20 in total

1.  A comparative protein profile of mammalian erythrocyte membranes identified by mass spectrometry.

Authors:  Savita Sharma; Vinny Punjabi; Surekha M Zingde; Sadashiv M Gokhale
Journal:  J Membr Biol       Date:  2014-08-24       Impact factor: 1.843

2.  Changes in velocity profile according to blood viscosity in a microchannel.

Authors:  Eunseop Yeom; Yang Jun Kang; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2014-06-09       Impact factor: 2.800

3.  van der Waals forces influencing adhesion of cells.

Authors:  K Kendall; A D Roberts
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-02-05       Impact factor: 6.237

4.  Aggregation of erythrocytes in burn disease.

Authors:  Grigory Y Levin; Marpha N Egorihina
Journal:  Int J Burns Trauma       Date:  2011-09-03

5.  Synthesis, biophysical properties and pharmacokinetics of ultrahigh molecular weight tense and relaxed state polymerized bovine hemoglobins.

Authors:  Paul W Buehler; Yipin Zhou; Pedro Cabrales; Yiping Jia; Guoyong Sun; David R Harris; Amy G Tsai; Marcos Intaglietta; Andre F Palmer
Journal:  Biomaterials       Date:  2010-02-10       Impact factor: 12.479

6.  Blast Scaling Parameters: Transitioning from Lung to Skull Base Metrics.

Authors:  Brandon P Lucke-Wold; Ryan C Turner; Aric Flint Logsdon; Charles L Rosen; Rabia Qaiser
Journal:  J Surg Emerg Med       Date:  2017-01-10

7.  Influence of a moderate physical activity intervention on red cell deformability in patients suffering from chronic obstructive pulmonary disease (COPD).

Authors:  Basit Ahmad; Nina Ferrari; Georgina Montiel; Wilhelm Bloch; Anke Raabe-Oetker; Nina Skrobala; Klara Brixius
Journal:  Wien Med Wochenschr       Date:  2013-02-20

Review 8.  Jugular thrombophlebitis in horses: a review of fibrinolysis, thrombus formation, and clinical management.

Authors:  Deborah Penteado Martins Dias; José Corrêa de Lacerda Neto
Journal:  Can Vet J       Date:  2013-01       Impact factor: 1.008

9.  Deformability analysis of sickle blood using ektacytometry.

Authors:  Miklos Rabai; Jon A Detterich; Rosalinda B Wenby; Tatiana M Hernandez; Kalman Toth; Herbert J Meiselman; John C Wood
Journal:  Biorheology       Date:  2014       Impact factor: 1.875

10.  Two-phase model for prediction of cell-free layer width in blood flow.

Authors:  Bumseok Namgung; Meongkeun Ju; Pedro Cabrales; Sangho Kim
Journal:  Microvasc Res       Date:  2012-10-29       Impact factor: 3.514

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