High predictive value of immune-inflammatory biomarkers for schizophrenia diagnosis and association with treatment resistance

Abstract

OBJECTIVES: Recent schizophrenia (SCZ) research aims to establish biomarkers with high predictive value for the diagnosis, severity of illness or treatment resistance. SCZ is accompanied by activated immune-inflammatory pathways, including increased levels of cytokines and chemokines, but few studies tried to identify predictive properties of such measures. METHODS: We included 54 medicated SCZ patients and 118 healthy controls and examined 15 cytokines and chemokines. Possible associations between these immune-inflammatory biomarkers and the diagnosis of SCZ, severity of illness and treatment resistance were investigated. RESULTS: SCZ is associated with a specific cytokine - chemokine profile, i.e., increased CCL11, MIP-1α, sTNF-R1 and sTNF-R2 levels, and decreased levels of IP-10, TNF-α, IL-2 and IL-4. The combination of five biomarkers (sTNF-R1, sTNF-R2, CCL11, IP-10, IL-4) may predict the diagnosis of SCZ with a sensitivity of 70.0% and a specificity of 89.4%. There was a weak association between the negative symptoms and biomarkers, i.e., IL-2 (inversely) and CCL11 (positively). Patients with treatment resistance showed increased levels of sTNF-R1, sTNF-R2 and MCP-1. CONCLUSIONS: The findings of this study reinforce that SCZ is associated with a pro-inflammatory profile and suggest that some immune mediators may be used as reliable biomarkers for the diagnosis of SCZ and treatment resistance.