Abstract
Schizophrenia is an incurable and debilitating mental disorder which affects approximately 1% of world population. It is a multifactorial disease involving exogenous and endogenous factors since the neurodevelopment. The molecular mechanisms of the disease are still to be unraveled for an integrated comprehension of the pathobiology. Additionally, biomarkers for diagnosis and for the likelihood of a successful treatment are not existent. Proteomics is, by definition, a suitable tool for investigating multifactorial disorders as schizophrenia. Proteins differentially expressed identified in a given biological condition may pinpoint which pathways are altered leading to a better comprehension of the disorder, and can be used as potential biomarker candidates. This project will perform a pioneer proteome analyses of plasma collected in vivo from patients and controls before and after medication. Our main goals are unraveling biochemical pathways modulated by the medication as well as revealing for the first time proteins that can act as potential biomarkers, which may indicate the likelihood of a successful treatment. Biomarker candidates will be combined in a mass spectrometry-based molecular assay to be evaluated as the first clinical test ever to determine medication response. Furthermore, we intend to contribute in the comprehension of the molecular aspects of schizophrenia. Based in our previous results, we will investigate the sub-proteomes of gray and white matter of four different brain regions from postmortem brains of schizophrenia patients and controls as well as preclinical models such as cultured oligodendrocytes. Our objective is to reveal differentially expressed proteins and their biochemical pathways for understanding their role in the establishment and maintenance of schizophrenia. This project will shed light in the comprehension of the molecular bases of schizophrenia and goes towards the development of a personalized medicine strategy with potential clinical implementation. (AU)
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MÉTODO PREDITIVO DE AVALIAÇÃO DA RESPOSTA DE PACIENTES AO TRATAMENTO COM ANTIPSICÓTICOS BR 10 2017 025852 1 - Universidade Estadual de Campinas Unicamp . Daniel Martins De Souza; Adriano Aquino; Guilherme Leonello Alexandrino; Johann Anton Christian Steiner; Michael Murgu; Alexandre Ferreira Gomes; Fabio Augusto - January 2017, 01