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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Peripheral biomarkers allow differential diagnosis between schizophrenia and bipolar disorder

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Tasic, Ljubica [1] ; Larcerda, Acioly L. T. [2, 3] ; Pontes, Joao G. M. [1] ; da Costa, Tassia B. B. C. [1] ; Nani, V, Joao ; Martins, Lucas Gelain [1] ; Santos, Leonardo A. [2] ; Nunes, Marielle F. Q. [2, 3] ; Adelino, Marcelo P. M. [2, 3] ; Pedrini, Mariana [3] ; Cordeiro, Quirino [4] ; de Santana, Felipe Bachion [5] ; Poppi, Ronei J. [5] ; Brietzke, Elisa [3] ; Furuie Hayashi, Mirian Akemi [6, 7]
Total Authors: 15
[1] Univ Estadual Campinas, Inst Chem, Dept Organ Chem, UNICAMP, Chem Biol Lab, Campinas, SP - Brazil
[2] Inst Bairral Psiquiatria, Ctr Res & Clin Trials Sinapse Bairral, Itapira, SP - Brazil
[3] Univ Fed Sao Paulo UNIFESP, Dept Psychiat, EPM, Sao Paulo, SP - Brazil
[4] Univ Estadual Campinas, Inst Chem, Lab Quimiometria Quim Analit, Dept Analyt Chem, Campinas, SP - Brazil
[5] CNPq, Natl Inst Translat Med INCT TM, Brasilia, DF - Brazil
[6] Nani, Joao, V, Univ Fed Sao Paulo UNIFESP, Dept Pharmacol, EPM, Sao Paulo, SP - Brazil
[7] Nani, Joao, V, ISCMSP, Sao Paulo, SP - Brazil
Total Affiliations: 7
Document type: Journal article
Source: JOURNAL OF PSYCHIATRIC RESEARCH; v. 119, p. 67-75, DEC 2019.
Web of Science Citations: 0

Schizophrenia (SCZ) and bipolar disorder (BD) are severe mental disorders that pose important challenges for diagnosis by sharing common symptoms, such as delusions and hallucinations. The underlying pathophysiology of both disorders remains largely unknown, and the identification of biomarkers with potential to support diagnosis is highly desirable. In a previous study, we successfully discriminated SCZ and BD patients from healthy control (HC) individuals by employing proton magnetic resonance spectroscopy (H-1-NMR). In this study, H-1-NMR data treated by chemometrics, principal component analysis (PCA) and supervised partial least-squares discriminant analysis (PLS-DA), provided the identification of metabolites present only in BD (as for instance the 2,3-diphospho-D-glyceric acid, N-acetyl aspartyl-glutamic acid, monoethyl malonate) or only in SCZ (as isovaleryl carnitine, pantothenate, mannitol, glycine, GABA). This may represent a set of potential biomarkers to support the diagnosis of these mental disorders, enabling the discrimination between SCZ and BD, and among these psychiatric patients and HC (as 6-hydroxydopamine was present in BD and SCZ but not in HC). The presence or absence of these metabolites in blood allowed the categorization of 182 independent subjects into one of these three groups. In addition, the presented data suggest disturbances in metabolic pathways in SCZ and BD, which may provide new and important information to support the elucidation and/or new insights into the neurobiology underlying these mental disorders. (AU)

FAPESP's process: 14/50867-3 - INCT 2014: National Institute of Science and Technology in Bioanalysis
Grantee:Lauro Tatsuo Kubota
Support type: Research Projects - Thematic Grants
FAPESP's process: 14/50891-1 - INCT 2014: Translational Medicine
Grantee:Jaime Eduardo Cecilio Hallak
Support type: Research Projects - Thematic Grants
FAPESP's process: 14/18938-8 - Metabolomic profiling of severe mental disorders using Nuclear Magnetic Ressonance (NMR)
Grantee:Ljubica Tasic
Support type: Regular Research Grants