Literature DB >> 15039013

Estimation of erythrocyte population state by the spherical index distribution.

O I Gordiyenko1, Yu E Gordiyenko, V O Makedonska.   

Abstract

The densities of cell distributions by spherical index (SI) in erythrocyte populations from healthy adults and donors with endocrine pathologies were determined via the developed method. The investigation shows that this characteristic varies for different donors, thereby reflecting the erythrocyte population state of an individual donor. Individual distribution curves obtained from healthy donors are close to Gaussian and are characterized by smooth curve plot with one maximum. Cells distribution by SI in donors with endocrine pathologies has a polymodal character. Our research shows that the developed method for determining erythrocyte distribution density by SI is a sensitive and informative test for quantitative evaluation of an erythrocyte population state. Moreover, this characteristic has clear physical and physiological significance, because an erythrocyte shape is strongly conditioned by the cell age and influences the ability to pass through microcapillaries in blood circulation.

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Year:  2004        PMID: 15039013     DOI: 10.1016/j.bioelechem.2003.08.004

Source DB:  PubMed          Journal:  Bioelectrochemistry        ISSN: 1567-5394            Impact factor:   5.373


  2 in total

1.  The effects of incubation media on the assessment of the shape of human erythrocytes by flow cytometry: a contribution to mathematical data interpretation to enable wider application of the method.

Authors:  Ivana Drvenica; Slavko Mojsilović; Ana Stančić; Dragana Marković; Marijana Kovačić; Irina Maslovarić; Ivana Rapajić; Dušan Vučetić; Vesna Ilić
Journal:  Eur Biophys J       Date:  2021-04-04       Impact factor: 1.733

2.  Individual osmotic fragility distribution: a new parameter for determination of the osmotic properties of human red blood cells.

Authors:  Tomasz Walski; Ludmiła Chludzińska; Małgorzata Komorowska; Wojciech Witkiewicz
Journal:  Biomed Res Int       Date:  2014-01-02       Impact factor: 3.411

  2 in total

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