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High predictive value of immune-inflammatory biomarkers for schizophrenia diagnosis and association with treatment resistance.
Noto, Cristiano; Maes, Michael; Ota, Vanessa Kiyomi; Teixeira, Antônio Lúcio; Bressan, Rodrigo Affonseca; Gadelha, Ary; Brietzke, Elisa.
Afiliação
  • Noto C; a LiNC-Interdisciplinary Laboratory of Clinical Neuroscience, Universidade Federal de São Paulo (UNIFESP) , Brazil.
  • Maes M; b First Episode Psychosis Program, Faculdade de Ciências Médicas da Santa Casa de São Paulo (FCMSCSP) , São Paulo , Brazil.
  • Ota VK; c Programa de Esquizofrenia (PROESQ), Universidade Federal de São Paulo (UNIFESP) , Brazil.
  • Teixeira AL; d Department of Psychiatry , Chulalongkorn University , Bangkok , Thailand.
  • Bressan RA; e Health Sciences Graduate Program, Health Sciences Center, State University of Londrina (UEL) , Brazil.
  • Gadelha A; a LiNC-Interdisciplinary Laboratory of Clinical Neuroscience, Universidade Federal de São Paulo (UNIFESP) , Brazil.
  • Brietzke E; f Translational Psychoneuroimmunology Group, Universidade Federal de Minas Gerais , Belo Horizonte , Brazil.
World J Biol Psychiatry ; 16(6): 422-429, 2015 Sep.
Article em En | MEDLINE | ID: mdl-26212792
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Biol Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: World J Biol Psychiatry Assunto da revista: PSIQUIATRIA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido