Computerized Morphometric Analysis of Eryptosis.

Autor:	Jacob SS; Department of Physiology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, India., Prasad K; School of Information Sciences, Manipal Academy of Higher Education, Manipal, India., Rao P; Department of Biochemistry, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, India., Kamath A; Department of Statistics, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India., Hegde RB; School of Information Sciences, Manipal Academy of Higher Education, Manipal, India.; Nitte Mahalinga Adyanthaya Memorial Institute of Technology, NITTE, Karkala, India., Baby PM; Department of Physiology, Melaka Manipal Medical College (Manipal Campus), Manipal Academy of Higher Education, Karnataka, India., Rao RK; Department of Physiology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, India.
Jazyk:	angličtina
Zdroj:	Frontiers in physiology [Front Physiol] 2019 Sep 24; Vol. 10, pp. 1230. Date of Electronic Publication: 2019 Sep 24 (Print Publication: 2019).
DOI:	10.3389/fphys.2019.01230
Abstrakt:	Eryptosis is the suicidal destruction-process of erythrocytes, much like apoptosis of nucleated cells, in the course of which the stressed red cell undergoes cell-shrinkage, vesiculation and externalization of membrane phosphatidylserine. Currently, there exist numerous methods to detect eryptosis, both morphometrically and biochemically. This study aimed to design a simple but sensitive, automated computerized approach to instantaneously detect eryptotic red cells and quantify their hallmark morphological characteristics. Red cells from 17 healthy volunteers were exposed to normal Ringer and hyperosmotic stress with sodium chloride, following which morphometric comparisons were conducted from their photomicrographs. The proposed method was found to significantly detect and differentiate normal and eryptotic red cells, based on variations in their structural markers. The receiver operating characteristic curve analysis for each of the markers showed a significant discriminatory accuracy with high sensitivity, specificity and area under the curve values. The software-based technique was then validated with RBCs in malaria. This model, quantifies eryptosis morphometrically in real-time, with minimal manual intervention, providing a new window to explore eryptosis triggered by different stressors and diseases and can find wide application in laboratories of hematology, blood banks and medical research. (Copyright © 2019 Jacob, Prasad, Rao, Kamath, Hegde, Baby and Rao.)
Databáze:	MEDLINE
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