TY - JOUR

T1 - A light scatter based model relating erythrocyte vesiculation to lifetime in circulation

AU - Yastrebova, Ekaterina S

AU - Gisich, Alla V

AU - Nekrasov, Vyacheslav M

AU - Gilev, Konstantin V

AU - Strokotov, Dmitry I

AU - Chernyshev, Andrei V

AU - Karpenko, Andrey A

AU - Maltsev, Valeri P

N1 - This work was supported by the Russian Science Foundation (grant no. 23‐25‐00337). © 2023 International Society for Advancement of Cytometry.

PY - 2023/9

Y1 - 2023/9

N2 - Methods for measuring erythrocyte age distribution are not available as a simple analytical tool. Most of them utilize the fluorescence or radioactive isotopes labeling to construct the age distribution and support physicians with aging indices of donor's erythrocytes. The age distribution of erythrocyte may be a useful snapshot of patient state over 120-days period of life. Previously, we introduced the enhanced assay of erythrocytes with measurement of 48 indices in four categories: concentration/content, morphology, aging and function (10.1002/cyto.a.24554). The aging category was formed by the indices based on the evaluation of the derived age of individual cells. The derived age does not exactly mean the real age of erythrocytes and its evaluation utilizes changes of cellular morphology during a lifespan. In this study, we are introducing the improved methodological approach that allows us to retrieve the derived age of individual erythrocytes, to construct the aging distribution, and to reform the aging category consisting of 8 indices. The approach is based on the analysis of the erythrocyte vesiculation. The erythrocyte morphology is analyzed by scanning flow cytometry that measures the primary characteristics (diameter, thickness and waist) of individual cells. The surface area (S) and sphericity index (SI) are calculated from the primary characteristics and the scattering diagram SI versus S is used in the evaluation of the derived age of each erythrocyte in a sample. We developed the algorithm to evaluate the derived age that provides eight indices in the aging category based on a model using light scatter features. The novel erythrocyte indices were measured for simulated cells and blood samples of 50 donors. We determined the first-ever reference intervals for these indices. This article is protected by copyright. All rights reserved.

AB - Methods for measuring erythrocyte age distribution are not available as a simple analytical tool. Most of them utilize the fluorescence or radioactive isotopes labeling to construct the age distribution and support physicians with aging indices of donor's erythrocytes. The age distribution of erythrocyte may be a useful snapshot of patient state over 120-days period of life. Previously, we introduced the enhanced assay of erythrocytes with measurement of 48 indices in four categories: concentration/content, morphology, aging and function (10.1002/cyto.a.24554). The aging category was formed by the indices based on the evaluation of the derived age of individual cells. The derived age does not exactly mean the real age of erythrocytes and its evaluation utilizes changes of cellular morphology during a lifespan. In this study, we are introducing the improved methodological approach that allows us to retrieve the derived age of individual erythrocytes, to construct the aging distribution, and to reform the aging category consisting of 8 indices. The approach is based on the analysis of the erythrocyte vesiculation. The erythrocyte morphology is analyzed by scanning flow cytometry that measures the primary characteristics (diameter, thickness and waist) of individual cells. The surface area (S) and sphericity index (SI) are calculated from the primary characteristics and the scattering diagram SI versus S is used in the evaluation of the derived age of each erythrocyte in a sample. We developed the algorithm to evaluate the derived age that provides eight indices in the aging category based on a model using light scatter features. The novel erythrocyte indices were measured for simulated cells and blood samples of 50 donors. We determined the first-ever reference intervals for these indices. This article is protected by copyright. All rights reserved.

KW - erythrocyte indices

KW - light scattering

KW - scanning flow cytometry

KW - vesiculation

KW - Humans

KW - Erythrocytes

KW - Flow Cytometry/methods

KW - Erythrocyte Indices

KW - Infant

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85159848633&origin=inward&txGid=2ae7788f3ff95bd3053bca26b50ba75c

UR - https://www.mendeley.com/catalogue/0ebaf0e0-63b8-3e88-9fc2-b57dc624609e/

U2 - 10.1002/cyto.a.24765

DO - 10.1002/cyto.a.24765

M3 - Article

C2 - 37195007

VL - 103

SP - 712

EP - 722

JO - Cytometry. Part A : the journal of the International Society for Analytical Cytology

JF - Cytometry. Part A : the journal of the International Society for Analytical Cytology

SN - 1552-4922

IS - 9

ER -