Metabolomic profiling of severe mental disorders using Nuclear Magnetic Ressonance (NMR)

• Grant number: 14/18938-8
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2015
• End date: July 31, 2017
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Organic Chemistry
• Principal Investigator: Ljubica Tasic
• Grantee: Ljubica Tasic
• Host Institution: Instituto de Química (IQ). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• City of the host institution: Campinas
• Associated researchers: Acioly Luiz Tavares de Lacerda ; Elisa Brietzke ; Mirian Akemi Furuie Hayashi ; Ronei Jesus Poppi

Abstract

The metabolomics is the newest "omics" platform applied in chemical and biochemical studies of organisms, which enables the detection of specific metabolic changes caused by disease states or by pharmacological and/or therapeutic interventions. Although psychiatric illnesses such as schizophrenia and bipolar disorder have been associated with metabolic changes, metabolomics studies in these populations are still scarce. The aim of this research proposal is to compare the metabolic profiles of individuals with schizophrenia and bipolar disorder with healthy controls, and also to investigate the metabolic profile differences between the animal models of schizophrenia and control animals using Nuclear Magnetic Resonance (NMR), principally 1H NMR, and chemometrics. We shall use human and animal plasma samples for NMR analyses and principal component analysis (PCA) and supervised partial least-squares discriminate analysis (PLS-DA) for NMR data treatment. One hundred (150) subjects with psychiatric disorders (50 with schizophrenia, 50 with bipolar disorder, and 50 crack users) will be compared with 50 healthy subjects (control group). Diagnosis will be performed through clinical interview using the Structured Clinical Interview Semi-DSM-IV (SCID). The analysis of the severity of symptoms will be done by using the following instruments: Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (Ham-D), and Young Mania Rating Scale (YMRS). We expect to identify differences among metabolomic profiles of individuals affected by major psychiatric disorders, namely schizophrenia, bipolar disorder and crack users, and the healthy controls. Also, a thorough analysis of differences between the animal model for schizophrenia and control animals using NMR metabolomics will be done, enabling translational studies for posterior follow-up of pharmacological and/or therapeutic interventions. (AU)

Scientific publications

(9)

(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)

TASIC, LJUBICA; LARCERDA, ACIOLY L. T.; PONTES, JOAO G. M.; DA COSTA, TASSIA B. B. C.; NANI, V, JOAO; MARTINS, LUCAS GELAIN; SANTOS, LEONARDO A.; NUNES, MARIELLE F. Q.; ADELINO, MARCELO P. M.; PEDRINI, MARIANA; et al. Peripheral biomarkers allow differential diagnosis between schizophrenia and bipolar disorder. JOURNAL OF PSYCHIATRIC RESEARCH, v. 119, p. 67-75, DEC 2019. (14/50867-3, 14/50891-1, 14/18938-8)

STANISIC, DANIJELA; FREGONESI, NATALIA L.; BARROS, CAIO H. N.; PONTES, JOAO G. M.; FULAZ, STEPHANIE; MENEZES, ULISSES J.; NICOLETI, JORGE L.; CASTRO, THIAGO L. P.; SEYFFERT, NUBIA; AZEVEDO, VASCO; et al. NMR insights on nano silver post-surgical treatment of superficial caseous lymphadenitis in small ruminants. RSC ADVANCES, v. 8, n. 71, p. 40778-40786, 2018. (15/12534-5, 14/18938-8, 18/06510-4)

COSTA, TASSIA B. B. C.; LACERDA, ACIOLY L. T.; DAL MAS, CAROLINE; BRIETZKE, ELISA; PONTES, JOAO G. M.; MARINS, LUCAS A. N.; MARTINS, LUCAS G.; NUNES, MARCEL V.; PEDRINI, MARIANA; CARVALHO, MICHELLE S. C.; et al. Insights into the Effects of Crack Abuse on the Human Metabolome Using a NMR Approach. JOURNAL OF PROTEOME RESEARCH, v. 18, n. 1, p. 341-348, JAN 2019. (14/18938-8, 14/50867-3)

RODRIGUEZ, BENJAMIN; NANI, JOAO VICTOR; ALMEIDA, PRISCILA G. C.; BRIETZKE, ELISA; LEE, RICHARD S.; HAYASHI, MIRIAN A. F.. Neuropeptides and oligopeptidases in schizophrenia. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, v. 108, p. 679-693, JAN 2020. (14/50867-3, 14/50891-1, 17/02413-1, 14/18938-8, 19/09207-3)

TASIC, LJUBICA; PONTES, JOAO G. M.; CARVALHO, MICHELLE S.; CRUZ, GUILHERME; DAL MAS, CAROLINES; SETHI, SUMIT; PEDRINI, MARIANA; RIZZO, LUCAS B.; ZENI-GRAIFF, MAIARA; ASEVEDO, ELSON; et al. Metabolomics and lipidomics analyses by H-1 nuclear magnetic resonance of schizophrenia patient serum reveal potential peripheral biomarkers for diagnosis. SCHIZOPHRENIA RESEARCH, v. 185, p. 182-189, JUL 2017. (13/13392-4, 14/18938-8)

SETHI, SUMIT; PEDRINI, MARIANA; RIZZO, LUCAS B.; ZENI-GRAIFF, MAIARA; DAL MAS, CAROLINE; CASSINELLI, ANA CLAUDIA; NOTO, MARIANE N.; ASEVEDO, ELSON; CORDEIRO, QUIRINO; PONTES, JOAO G. M.; et al. H-1-NMR, H-1-NMR T-2-edited, and 2D-NMR in bipolar disorder metabolic profiling. INTERNATIONAL JOURNAL OF BIPOLAR DISORDERS, v. 5, JUN 4 2017. (14/18938-8)

SETHI, SUMIT; HAYASHI, MIRIAN A.; SUSSULINI, ALESSANDRA; TASIC, LJUBICA; BRIETZKE, ELISA. Analytical approaches for lipidomics and its potential applications in neuropsychiatric disorders. WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY, v. 18, n. 7, p. 506-520, 2017. (14/18938-8)

RIBEIRO, HENRIQUE C.; KLASSEN, ALINE; PEDRINI, MARIANA; CARVALHO, MICHELLE S.; RIZZO, LUCAS B.; NOTO, MARIANE N.; ZENI-GRAIFF, MAIARA; SETHI, SUMIT; FONSECA, FRANCISCO A. H.; TASIC, LJUBICA; et al. A preliminary study of bipolar disorder type I by mass spectrometry-based serum lipidomics. PSYCHIATRY RESEARCH, v. 258, p. 268-273, DEC 2017. (15/13229-1, 14/18938-8)

TASIC, LJUBICA; DE MORAES PONTES, JOAO GUILHERME; DE SOUZA, RAFAEL NOGUEIRA; MARREIRO BRASIL, ANTONIO JADSON; DE FARIA CRUZ, GUILHERME CRISPIM; ASEVEDO, ELSON; DAL MAS, CAROLINE; POPPI, RONEI JESUS; BRIETZKE, ELISA; FURUIE HAYASHI, MIRIAN AKEMI; et al. NMR Spectroscopy Metabolomics Applied to Crack Cocaine Users and Patients with Schizophrenia: Similar Behavior but Different Molecular Causes. CHEMISTRYSELECT, v. 2, n. 10, p. 2927-2930, APR 3 2017. (14/18938-8)

Filed patent(s) as a result of this research project