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

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. 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.