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Development of approaches to stratification of patients with schizophrenia based on cytokine levels using cluster analysis

Published online by Cambridge University Press:  01 September 2022

E. Ermakov ,
A. Boiko ,
D. Parshukova ,
E. Dmitrieva ,
S. Ivanova  and
V. Buneva
E. Ermakov
Affiliation:
Institute of Chemical Biology and Fundamental Medicine, Laboratory Of Repair Enzymes, Novosibirsk, Russian Federation
A. Boiko
Affiliation:
Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Laboratory Of Molecular Genetics And Biochemistry, Tomsk, Russian Federation
D. Parshukova
Affiliation:
Tomsk National Research Medical Center of the Russian Academy of Sciences, Mental Health Research Institute, Tomsk, Russian Federation
E. Dmitrieva*
Affiliation:
Tomsk National Research Medical Center of the Russian Academy of Sciences, Mental Health Research Institute, Tomsk, Russian Federation
S. Ivanova
Affiliation:
Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Laboratory Of Molecular Genetics And Biochemistry, Tomsk, Russian Federation
V. Buneva
Affiliation:
Institute of Chemical Biology and Fundamental Medicine, Laboratory Of Repair Enzymes, Novosibirsk, Russian Federation
*
*Corresponding author.

Abstract

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Introduction

Alterations in a variety of immune parameters, including abnormal cytokine levels, are known to be found in schizophrenia. These changes can be useful in identifying patients with the most severe immune abnormalities.

Objectives

To develop approaches to stratification of schizophrenia patients based on cytokine levels using cluster analysis.

Methods

We recruited 53 patients (25 women/28 men) with a verified diagnosis of simple or paranoid schizophrenia and 37 healthy individuals (19 women/18 men) in our study. Serum levels of IL-1β, IL-2, IL-4, IL-6, TNFα, INFα, BAFF, GM-CSF, NGFβ, NRG1, and GDNF were determined using a MAGPIX multiplex analyzer (Luminex, USA). Statistical analysis was performed in Statistica 10.

Results

Principal component analysis and partial least-squares discriminant analysis showed that the combined multi-cytokine profiles of the studied groups differ. The results of the k-means cluster analysis are presented in Table 1 The most reliable results are obtained by a combination of 4 variable: IL-1β, IL- 4, BAFF and GDNF. Table 1 Percent of individuals classified in different clusters depending of number of parameters using for classification.

Number of variables for classificationHealthy individualsSchizophrenia patients
Cluster 1Cluster 2Cluster 1Cluster 2
10 variables5,496,426,473,6
4 variables010011,188,9
3 variables2,797,329,670,4
2 variables8,191,920,479,6

Conclusions

A subgroup (сluster 1) of schizophrenic patients with severe immune abnormalities was identified using data on the levels of IL-1β, IL-4, BAFF and GDNF. Anti-inflammatory therapy is recommended for this subgroup of patients. Support by Grant of RSF № 21-75-00102.

Disclosure

No significant relationships.

Keywords

schizophreniacytokines
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S777
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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