Literature DB >> 2248988

Dynamics of oxygen unloading from sickle erythrocytes.

V B Makhijani1, G R Cokelet, A Clark.   

Abstract

The objective of this work is to theoretically model oxygen unloading in sickle red cells. This has been done by combining into a single model diffusive transport mechanisms, which have been well-studied for normal red cells, and the hemoglobin polymerization process, which has been previously been studied for deoxyhemoglobin-S solutions and sickle cells in near-equilibrium situations. The resulting model equations allow us to study the important processes of oxygen delivery and polymerization simultaneously. The equations have been solved numerically by a finite-difference technique. The oxygen unloading curve for sickle erythrocytes is biphasic in nature. The rate of unloading depends in a complicated way on (a) the kinetics of hemoglobin S polymerization, (b) the kinetics of hemoglobin deoxygenation, and (c) the diffusive transport of both free oxygen and oxy-hemoglobin. These processes interact. For example, the hemoglobin S polymer interferes with the transport of both free oxygen and unpolymerized oxy-hemoglobin, and this is accounted for in the model by diffusivities which depend on the polymer and solution hemoglobin concentration. Other parameters which influence the interaction of these processes are the concentration of 2,3-diphosphoglycerate and total hemoglobin concentration. By comparing our model predictions for oxygen unloading with simpler predictions based on equilibrium oxygen affinities, we conclude that the relative rate of oxygen unloading of cells with different physical properties cannot be correctly predicted from the equilibrium affinities. To describe the unloading process, a kinetic calculation of the sort we give here is required.

Entities:  

Mesh:

Substances:

Year:  1990        PMID: 2248988      PMCID: PMC1281047          DOI: 10.1016/S0006-3495(90)82446-2

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  47 in total

1.  Studies on abnormal hemoglobins. VIII. The gelling phenomenon of sickle cell hemoglobin: its biologic and diagnostic significance.

Authors:  K SINGER; L SINGER
Journal:  Blood       Date:  1953-11       Impact factor: 22.113

Review 2.  Kinetic models and the pathophysiology of sickle cell disease.

Authors:  F A Ferrone
Journal:  Ann N Y Acad Sci       Date:  1989       Impact factor: 5.691

3.  Physiological factors affecting O2 transport by hemoglobin in an in vitro capillary system.

Authors:  D D Lemon; P K Nair; E J Boland; J S Olson; J D Hellums
Journal:  J Appl Physiol (1985)       Date:  1987-02

Review 4.  Hemoglobin S gelation and sickle cell disease.

Authors:  W A Eaton; J Hofrichter
Journal:  Blood       Date:  1987-11       Impact factor: 22.113

5.  Kinetics of sickle hemoglobin polymerization. I. Studies using temperature-jump and laser photolysis techniques.

Authors:  F A Ferrone; J Hofrichter; W A Eaton
Journal:  J Mol Biol       Date:  1985-06-25       Impact factor: 5.469

6.  Delay time of hemoglobin S polymerization prevents most cells from sickling in vivo.

Authors:  A Mozzarelli; J Hofrichter; W A Eaton
Journal:  Science       Date:  1987-07-31       Impact factor: 47.728

7.  Kinetics of domain formation by sickle hemoglobin polymers.

Authors:  S Basak; F A Ferrone; J T Wang
Journal:  Biophys J       Date:  1988-11       Impact factor: 4.033

8.  Oxygen transport studies of normal and sickle red cell suspensions in artificial capillaries.

Authors:  N A Stathopoulos; P K Nair; J D Hellums
Journal:  Microvasc Res       Date:  1987-09       Impact factor: 3.514

9.  Kinetics of sickle hemoglobin polymerization. II. A double nucleation mechanism.

Authors:  F A Ferrone; J Hofrichter; W A Eaton
Journal:  J Mol Biol       Date:  1985-06-25       Impact factor: 5.469

10.  The effect of 2,3-diphosphoglycerate on the solubility of deoxyhemoglobin S.

Authors:  W N Poillon; B C Kim; E V Welty; J A Walder
Journal:  Arch Biochem Biophys       Date:  1986-09       Impact factor: 4.013

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.