Neuroimaging, genomics, transcriptomics and epigenomics: dealing with big data toward an integrative model of mental disorders

• Grant number: 16/04983-7
• Support Opportunities: Research Grants - eScience and Data Science Program - Regular Program Grants
• Start date: February 01, 2017
• End date: January 31, 2019
• Field of knowledge: Health Sciences - Medicine - Psychiatry
• Principal Investigator: Jair de Jesus Mari
• Grantee: Jair de Jesus Mari
• Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil
• City of the host institution: São Paulo
• Associated researchers: Andrea Parolin Jackowski ; Ary Gadelha de Alencar Araripe Neto ; Cristiano de Souza Noto ; Eurípedes Constantino Miguel Filho ; Giovanni Abrahão Salum Júnior ; João Ricardo Sato ; Luis Augusto Paim Rohde ; Marcelo Feijó de Mello ; Patrícia Natália Silva Moretti ; Paulo Bandiera Paiva ; Quirino Cordeiro Júnior ; Síntia Iole Nogueira Belangero ; Vanessa Kiyomi Ota Kuniyoshi
• Associated scholarship(s): 18/11241-2 - Establishment of a high performance system to process and analyse neuroimaging and genomic data, BP.TT; 18/03900-6 - Establishment of a high performance system to process and analyse neuroimaging and genomic data, BP.TT

Abstract

Mental disorders (MD) such as schizophrenia, bipolar disorder, major depressive disorder, and substance use disorders are among the largest sources of medical disability in the world, surpassing both cardiovascular disease and cancer. Together, they have an enormous impact on public health, representing 39% of the years lived with disability and a reduction of life expectancy of more than 15 years. The picture is even more dramatic in Brazil where neuropsychiatric disorders are responsible for 19% of the total burden of diseases, and the relative morbidity associated with MD is increasing, as a consequence of the improvement in general health indicators and longevity. A vast amount of research over the last twenty years converged into the perspective that MD are diseases of brain circuits. MD are complex, multifactorial genetic/epigenetic disorders, associated with brain changes that occur throughout neurodevelopment, under environmental influence Psychiatry needs to follow general medicine and focus on diagnosis, prevention and treatment strategies. However several challenges have to be tackled to reach prevention of MD among them limited biological knowledge and poor effectiveness of the available prevention and treatments strategies. In the last decades, the psychiatry area has gained important tools and methods, such as genetics and neuroimaging approaches, to help understanding the pathogenesis and progression of mental diseases and these methods have produced a huge volume of data, given their complexity. In this context, we highlight the present project as a multidisciplinary combining research in computer science, neuroimaging and genetics/epigenetics and as multistage project, since we will analyze data from patients in different stages of mental disorders. Here will use the Bioinformatics, which is an integration of computational science, statistics and mathematics to analyze and interpret biological data, in order to develop pipelines, algorithms and methods for solving biological problems of psychiatry. Our main goal is to develop tools and techniques regarding processing and storage of information of genomes and imaging from psychiatry patients in a way that other researchers can use, and this pipelines might be reproduced in a simple manner by other stakeholders. (AU)

Scientific publications

(12)

(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)

SPINDOLA, LETICIA M.; SANTORO, MARCOS L.; PAN, PEDRO M.; OTA, VANESSA K.; XAVIER, GABRIELA; CARVALHO, CAROLINA M.; TALARICO, FERNANDA; SLEIMAN, PATRICK; MARCH, MICHAEL; PELLEGRINO, RENATA; et al. Detecting multiple differentially methylated CpG sites and regions related to dimensional psychopathology in youths. CLINICAL EPIGENETICS, v. 11, n. 1, OCT 21 2019. (16/04983-7, 14/50917-0, 15/10733-0, 16/25374-9, 17/05339-7, 14/07280-1)

OTA, VANESSA KIYOMI; MORETTI, PATRICIA NATALIA; SANTORO, MARCOS LEITE; TALARICO, FERNANDA; SPINDOLA, LETICIA MARIA; XAVIER, GABRIELA; CARVALHO, CAROLINA MUNIZ; MARQUES, DIOGO FERRI; COSTA, GIOVANY OLIVEIRA; PELLEGRINO, RENATA; et al. Gene expression over the course of schizophrenia: from clinical high-risk for psychosis to chronic stages. NPJ SCHIZOPHRENIA, v. 5, MAR 28 2019. (14/50830-2, 11/00030-1, 14/07280-1, 10/08968-6, 17/25016-8, 16/04983-7, 11/50740-5)

SATO, JOAO RICARDO; BIAZOLI JR, CLAUDINEI EDUARDO; MOURA, LUCIANA MONTEIRO; CROSSLEY, NICOLAS; ZUGMAN, ANDRE; PICON, FELIPE ALMEIDA; HOEXTER, MARCELO QUEIROZ; AMARO JR, EDSON; MIGUEL, EURIPEDES CONSTANTINO; ROHDE, LUIS AUGUSTO; et al. Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents. BRAIN CONNECTIVITY, v. 9, n. 5, p. 379-387, JUN 1 2019. (16/04983-7, 13/08531-5, 18/21934-5, 14/50917-0, 18/04654-9)

TALARICO, FERNANDA; COSTA, GIOVANY OLIVEIRA; OTA, VANESSA KIYOMI; SANTORO, MARCOS LEITE; NOTO, CRISTIANO; GADELHA, ARY; BRESSAN, RODRIGO; AZEVEDO, HATYLAS; BELANGERO, SINTIA IOLE. Systems-Level Analysis of Genetic Variants Reveals Functional and Spatiotemporal Context in Treatment-resistant Schizophrenia. Molecular Neurobiology, v. 59, n. 5, p. 13-pg., 2022-03-12. (17/25016-8, 14/07280-1, 16/04983-7)

SPINDOLA, LETICIA M.; SANTORO, MARCOS L.; PAN, PEDRO M.; OTA, VANESSA K.; XAVIER, GABRIELA; CARVALHO, CAROLINA M.; TALARICO, FERNANDA; SLEIMAN, PATRICK; MARCH, MICHAEL; PELLEGRINO, RENATA; et al. Detecting multiple differentially methylated CpG sites and regions related to dimensional psychopathology in youths. CLINICAL EPIGENETICS, v. 11, n. 1, p. 16-pg., 2019-10-21. (15/10733-0, 17/05339-7, 16/04983-7, 14/50917-0, 14/07280-1, 16/25374-9)

SANTORO, MARCOS LEITE; OTA, VANESSA; DE JONG, SIMONE; NOTO, CRISTIANO; SPINDOLA, LETICIA M.; TALARICO, FERNANDA; GOUYEA, EDUARDO; LEE, SANG HYUCK; MORETTI, PATRICIA; CURTIS, CHARLES; et al. Polygenic risk score analyses of symptoms and treatment response in an antipsychotic-naive first episode of psychosis cohort. TRANSLATIONAL PSYCHIATRY, v. 8, AUG 31 2018. (14/50830-2, 14/07280-1, 14/22223-4, 12/12686-1, 10/08968-6, 16/13737-0, 16/04983-7, 11/50740-5)

BELANGERO, SINTIA IOLE; OTA, VANESSA KIYOMI; GADELHA, ARY; BERBERIAN, ARTHUR ALMEIDA; DE ASSUNCAO-LEME, IDAIANE BATISTA; NOTO, CRISTIANO; CHRISTOFOLINI, DENISE MARIA; BELLUCCO, FERNANDA TEIXEIRA; SANTORO, MARCOS LEITE; MAZZOTTI, DIEGO ROBLES; et al. DGCR2 influences cortical thickness through a mechanism independent of schizophrenia pathogenesis. PSYCHIATRY RESEARCH, v. 274, p. 391-394, APR 2019. (16/04983-7, 17/25016-8, 10/08968-6, 14/07280-1, 11/00030-1)

SATO, JOAO RICARDO; BIAZOLI, CLAUDINEI EDUARDO; BUENO, ANA PAULA ARANTES; CAYE, ARTHUR; PAN, PEDRO MARIO; SANTORO, MARCOS; HONORATO-MAUER, JESSICA; SALUM, GIOVANNI ABRAHAO; HOEXTER, MARCELO QUEIROZ; BRESSAN, RODRIGO AFFONSECA; et al. Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample. GENES BRAIN AND BEHAVIOR, v. N/A, p. 9-pg., 2023-02-21. (18/04654-9, 16/13737-0, 13/08531-5, 21/05332-8, 16/04983-7, 18/21934-5)

TALARICO, FERNANDA; SANTORO, MARCOS; OTA, VANESSA K.; GADELHA, ARY; PELLEGRINO, RENATA; HAKONARSON, HAKON; BRESSAN, RODRIGO; MARI, JAIR J.; BELANGERO, SINTIA. Implications of an admixed Brazilian population in schizophrenia polygenic risk score. SCHIZOPHRENIA RESEARCH, v. 204, p. 404-406, FEB 2019. (14/07280-1, 10/08968-6, 16/04983-7, 11/50740-5, 17/20059-0)

OTA, VANESSA KIYOMI; SANTORO, MARCOS LEITE; SPINDOLA, LETICIA MARIA; PAN, PEDRO MARIO; SIMABUCURO, ANDRESSA; XAVIER, GABRIELA; VIEIRA-FONSECA, TAMIRIS; ZANARDO, EVELIN ALINE; CAMARGO DOS SANTOS, FELIPE RODOLFO; SCHAFER, JULIA LUIZA; et al. Gene expression changes associated with trajectories of psychopathology in a longitudinal cohort of children and adolescents. TRANSLATIONAL PSYCHIATRY, v. 10, n. 1, MAR 17 2020. (16/04983-7, 08/57896-8, 14/50917-0, 14/07280-1, 17/05339-7)

MARQUES, DIOGO FERRI; OTA, VANESSA KIYOMI; SANTORO, MARCOS LEITE; TALARICO, FERNANDA; COSTA, GIOVANY OLIVEIRA; SPINDOLA, LETICIA MARIA; COGO-MOREIRA, HUGO; CARVALHO, CAROLINA MUNIZ; XAVIER, GABRIELA; CAVALCANTE, DANIEL AZEVEDO; et al. LINE-1 hypomethylation is associated with poor risperidone response in a first episode of psychosis cohort. Epigenomics, v. 12, n. 12, APR 2020. (16/04983-7, 11/50740-5, 16/02246-5, 17/25016-8, 10/08968-6, 14/07280-1)

DE ARAUJO, CELIA MARIA; SWARDFAGER, WALTER; ZUGMAN, ANDRE; COGO-MOREIRA, HUGO; BELANGERO, SINTIA I.; OTA, VANESSA K.; SPINDOLA, LETICIA M.; HAKONARSON, HAKON; PELLEGRINO, RENATA; GADELHA, ARY; et al. Are serum brain-derived neurotrophic factor concentrations related to brain structure and psychopathology in late childhood and early adolescence?. CNS SPECTRUMS, v. 25, n. 6, p. 790-796, DEC 2020. (14/07280-1, 13/08531-5, 16/04983-7, 14/50917-0)