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Peripheral markers of membrane metabolism: characterization of individuals at ultra-high risk for psychosis

Grant number: 17/26291-2
Support Opportunities:Scholarships in Brazil - Doctorate
Start date: May 01, 2018
End date: January 31, 2022
Field of knowledge:Health Sciences - Medicine - Psychiatry
Principal Investigator:Wagner Farid Gattaz
Grantee:Alana Caroline Costa
Host Institution: Instituto de Psiquiatria Doutor Antonio Carlos Pacheco e Silva (IPq). Hospital das Clínicas da Faculdade de Medicina da USP (HCFMUSP). Secretaria da Saúde (São Paulo - Estado). São Paulo , SP, Brazil

Abstract

Psychotic disorders are frequent conditions that affect around 3.5% of the general population. Schizophrenia (SCZ) - the most frequent psychotic disorder - affects about 1% of the population, tends to be chronic and disabling. Even before presenting psychosis sympthoms, patients present behavioral changes that allow to follow and track these individuals. Based on some clinical and demographic characteristics researchers brought up the Ultra High Risk (UHR) criteria for transition to psychosis. However, the conversion rates from UHR to psychosis vary widely. A great effort has been made to make such criteria more specific. Measurable biological changes may be an important tool in the characterization of UHR individuals.Changes in lipid metabolism and membrane composition have been described in different neuropsychiatric disorders, including schizophrenia. Studies in peripheral matrices and postmortem brain of patients with schizophrenia indicate an increase in PLA2 activity, as well as reductions in membrane phospholipids, increase in its metabolites and change in membrane fluidity. Moreover, the increase in brain PLA2 activity modifies neuronal membranes composition and generates or exacerbates psychotic symptoms. Our group have already described that PLA2 and the plasma level of metabolites may discriminate neuropsychiatric disorders. In a recent study we have described a CART-model to discriminate individuals in the first psychotic outbreak of schizophrenia and bipolar disorder with an accuracy of 87.1%.The main objective of the present project is to verify if the same model is useful to identify the conversion risk in UHR subjects. Thus, we will quantify, determine cut-offs and correlate levels of plasma metabolites and platelet PLA2 activity in UHR, psychotic and healthy controls subjects. The plasma metabolites will be quantified by liquid chromatography coupled to mass spectrometry and PLA2 activity will be determined by radio enzymatic assay. The results may help in the development of algorithms for the prevention of clinical manifestations of psychosis. (AU)

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Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALANA COSTA; MARCOS PAIS; JÚLIA LOUREIRO; FLORINDO STELLA; MÁRCIA RADANOVIC; WAGNER GATTAZ; ORESTES FORLENZA; LEDA TALIB. Decision tree-based classification as a support to diagnosis in the Alzheimer’s disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis. Revista Brasileira de Psiquiatria, v. 44, n. 4, p. 370-377, . (17/26291-2, 14/50873-3)
TALIB, LEDA L.; COSTA, ALANA C.; JOAQUIM, HELENA P. G.; PEREIRA, CICERO A. C.; VAN DE BILT, MARTINUS T.; LOCH, ALEXANDRE A.; GATTAZ, WAGNER F.. Increased PLA(2) activity in individuals at ultra-high risk for psychosis. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, v. 271, n. 8, p. 1593-1599, . (17/26291-2, 14/50873-3, 18/11414-4)
COSTA, ALANA C.; RICA, LARISSA B.; VAN DE BILT, MARTINUS; ZANDONADI, FLAVIA S.; GATTAZ, WAGNER F.; TALIB, LEDA L.; SUSSULINI, ALESSANDRA. Application of Lipidomics in Psychiatry: Plasma-Based Potential Biomarkers in Schizophrenia and Bipolar Disorder. METABOLITES, v. 13, n. 5, p. 15-pg., . (14/50867-3, 14/50873-3, 18/01525-3, 17/26291-2)
ALANA COSTA; MARCOS PAIS; JÚLIA LOUREIRO; FLORINDO STELLA; MÁRCIA RADANOVIC; WAGNER GATTAZ; ORESTES FORLENZA; LEDA TALIB. Decision tree-based classification as a support to diagnosis in the Alzheimer’s disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis. Revista Brasileira de Psiquiatria, . (17/26291-2, 14/50873-3)
TALIB, LEDA L.; COSTA, ALANA C.; JOAQUIM, HELENA P. G.; PEREIRA, CICERO A. C.; VAN DE BILT, MARTINUS T.; LOCH, ALEXANDRE A.; GATTAZ, WAGNER F.. Increased PLA(2) activity in individuals at ultra-high risk for psychosis. EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE, . (18/11414-4, 17/26291-2, 14/50873-3)
JOAQUIM, HELENA P. G.; COSTA, ALANA C.; PEREIRA, CICERO A. C.; TALIB, LEDA L.; BILT, V, MARTINUS M.; LOCH, ALEXANDRE A.; GATTAZ, WAGNER F.. lasmatic endocannabinoids are decreased in subjects with ultra-high risk of psychosi. European Journal of Neuroscience, v. 55, n. 4, SI, . (14/50873-3, 18/11414-4, 17/26291-2)
COSTA, ALANA; PAIS, MARCOS; LOUREIRO, JULIA; STELLA, FLORINDO; RADANOVIC, MARCIA; GATTAZ, WAGNER; FORLENZA, ORESTES; TALIB, LEDA. Decision tree-based classification as a support to diagnosis in the Alzheimer's disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis. Revista Brasileira de Psiquiatria, v. 44, n. 4, p. 8-pg., . (17/26291-2, 14/50873-3)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
COSTA, Alana Caroline. Peripheral markers of membrane metabolism: characterization of individuals at high risk for psychosis. 2023. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Medicina (FM/SBD) São Paulo.