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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Noto, Cristiano [1, 2, 3] ; Maes, Michael [4, 5] ; Ota, Vanessa Kiyomi [2] ; Teixeira, Antonio Lucio [6] ; Bressan, Rodrigo Affonseca [2, 3] ; Gadelha, Ary [2, 3] ; Brietzke, Elisa [2]
Total Authors: 7
Affiliation:
[1] Fac Ciencias Med Santa Casa Sao Paulo, Episode Psychosis Program 1, Sao Paulo - Brazil
[2] Univ Fed Sao Paulo UNIFESP, LiNC Interdisciplinary Lab Clin Neurosci, Sao Paulo - Brazil
[3] Univ Fed Sao Paulo UNIFESP, Programa Esquizofrenia PROESQ, Sao Paulo - Brazil
[4] Chulalongkorn Univ, Dept Psychiat, Bangkok - Thailand
[5] State Univ Londrina UEL, Hlth Sci Ctr, Hlth Sci Grad Program, Sao Paulo - Brazil
[6] Univ Fed Minas Gerais, Translat Psychoneuroimmunol Grp, Belo Horizonte, MG - Brazil
Total Affiliations: 6
Document type: Journal article
Source: WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY; v. 16, n. 6, p. 422-429, 2015.
Web of Science Citations: 22
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-1 alpha, sTNF-R1 and sTNF-R2 levels, and decreased levels of IP-10, TNF-alpha, 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. (AU)

FAPESP's process: 10/19176-3 - Gene expression and DNA methylation analysis in drug-naive first episode of psychosis patients
Grantee:Vanessa Kiyomi Ota Kuniyoshi
Support Opportunities: Scholarships in Brazil - Doctorate