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Association between Chromatin Structural Organization of Peripheral Blood Neutrophils and Self-Perceived Mental Stress: Gray-Level Co-occurrence Matrix Analysis

Published online by Cambridge University Press:  02 August 2021

Nikola Topalovic
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Medical Physiology, Visegradska 26/II, RS-11129, Belgrade, Serbia
Sanja Mazic
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Medical Physiology, Visegradska 26/II, RS-11129, Belgrade, Serbia
Dejan Nesic
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Medical Physiology, Visegradska 26/II, RS-11129, Belgrade, Serbia
Olivera Vukovic
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Mental Health, Palmoticeva 37, RS-11000, Belgrade, Serbia
Jelena Cumic
Affiliation:
University of Belgrade, Faculty of Medicine, University Clinical Centre of Serbia, Dr. Koste Todorovica 8, RS-11129, Belgrade, Serbia
Darko Laketic
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Anatomy, Dr Subotica 4/2, RS-11129, Belgrade, Serbia
Ivana Stasevic Karlicic
Affiliation:
Clinic for Mental Disorders Dr Laza Lazarevic, Visegradska 26, RS-11129, Belgrade, Serbia
Igor Pantic*
Affiliation:
University of Belgrade, Faculty of Medicine, Institute of Medical Physiology, Visegradska 26/II, RS-11129, Belgrade, Serbia University of Haifa, 199 Abba Hushi Blvd. Mount Carmel, HaifaIL-3498838, Israel
*
*Corresponding author: Igor Pantic, E-mail: [email protected]; [email protected]
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Abstract

Methods based on the evaluation of textural patterns in microscopy, such as the “gray-level co-occurrence matrix” (GLCM) analysis are modern and innovative computer and mathematical algorithms that can be used to quantify subtle structural changes in cells and their organelles. Potential application of GLCM method in the fields of psychophysiology and psychiatry to this date has not been systematically investigated. The main objective of our study was to test the existence and strength of the association between chromatin structural organization of peripheral blood neutrophils and levels of self-perceived mental stress. The research was done on a sample of 100 healthy student athletes, and the Depression, Anxiety, and Stress Scales (DASS-21) were used for the estimation of psychological distress. Chromatin textural homogeneity and uniformity were negatively correlated (p < 0.01) with mental distress and had relatively good discriminatory power in differentiating participants with normal and elevated stress levels. As an addition, we propose the creation of a machine learning model based on binomial logistic regression that uses these and other GLCM features to predict stress elevation. To the best of our knowledge, these results are one of the first to establish the link between neutrophil chromatin structural organization quantified by the GLCM method and indicators of normal psychological functioning.

Type
Biological Applications
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

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