1H-NMR, 1H-NMR T2-edited, and 2D-NMR in bipolar disorder metabolic profiling

CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOThe objective of this study was to identify molecular alterations in the human blood serum related to bipolar disorder, using nuclear magnetic resonance (NMR) spectroscopy and chemometrics. Methods. Metabolomic profiling, employing 1H-NMR, 1H-NMR T2-edit51CAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCAPES - COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL E NÍVEL SUPERIORFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOsem informação2014/18938-

Metabolomics and lipidomics analyses by 1H nuclear magnetic resonance of schizophrenia patient serum reveal potential peripheral biomarkers for diagnosis

Using 1H NMR-based metabolomics in association to chemometrics analysis, we analyzed here the metabolic differences between schizophrenia patients (SCZ) compared to healthy controls (HCs). HCs and SCZ patients underwent clinical interview using the Structured Clinical Interview for DSM Disorders (SCID). SCZ patients were further assessed by Positive and Negative Syndrome Scale (PANSS), Calgary Depression Scale, Global Assessment of Functioning Scale (GAF), and Clinical Global Impressions Scale (CGI). Using the principal component analysis (PCA) and supervised partial least-squares discriminate analysis (PLS-DA) in obtained NMR data, a clear group separation between HCs and SCZ patients was achieved. Interestingly, all metabolite compounds identified as exclusively present in the SCZ group, except for the gamma-aminobutyric acid (GABA), were never previously associated with mental disorders. Although the initial perception of an absence of obvious biological link among the different key molecules exclusively observed in each group, and no identification of any specific pathway yet, the present work represents an important contribution for the identification of potential biomarkers to inform diagnosis, as it was possible to completely separate the affected SCZ patients from HCs, with no outliers or exceptions. In addition, the data presented here reinforced the role of the modulation of glycolysis pathway and the loss of GABA interneuron/hyperglutamate hypothesis in SCZ. © 2016.Using 1H NMR-based metabolomics in association to chemometrics analysis, we analyzed here the metabolic differences between schizophrenia patients (SCZ) compared to healthy controls (HCs). HCs and SCZ patients underwent clinical interview using the Struct18518218

H-1-NMR, H-1-NMR T-2-edited, and 2D-NMR in bipolar disorder metabolic profiling

Background: The objective of this study was to identify molecular alterations in the human blood serum related to bipolar disorder, using nuclear magnetic resonance (NMR) spectroscopy and chemometrics. Methods: Metabolomic profiling, employing H-1-NMR, H-1-NMR -T-2-edited, and 2D-NMR spectroscopy and chemometrics of human blood serum samples from patients with bipolar disorder (n = 26) compared with healthy volunteers (n = 50) was performed. Results: The investigated groups presented distinct metabolic profiles, in which the main differential metabolites found in the serum sample of bipolar disorder patients compared with those from controls were lipids, lipid metabolism-related molecules (choline, myo-inositol), and some amino acids (N-acetyl-L-phenyl alanine, N-acetyl-L-aspartyl-L-glutamic acid, L-glutamine). In addition, amygdalin, alpha-ketoglutaric acid, and lipoamide, among other compounds, were also present or were significantly altered in the serum of bipolar disorder patients. The data presented herein suggest that some of these metabolites differentially distributed between the groups studied may be directly related to the bipolar disorder pathophysiology. Conclusions: The strategy employed here showed significant potential for exploring pathophysiological features and molecular pathways involved in bipolar disorder. Thus, our findings may contribute to pave the way for future studies aiming at identifying important potential biomarkers for bipolar disorder diagnosis or progression follow-up.Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq, Brasilia, Brazil)FAPESPUniv Fed Sao Paulo UNIFESP, Dept Psychiat, Rua Borges Lagoa 570, BR-04038020 Sao Paulo, BrazilUniv Fed Sao Paulo UNIFESP, Dept Pharmacol, Rua Tres Maio 100, BR-04044020 Sao Paulo, BrazilISCMSP, Dept Psychiat, Rua Major Maragliano 287, BR-04017030 Sao Paulo, BrazilUniv Estadual Campinas UNICAMP, Lab Quim Biol, Dept Organ Chem, Inst Chem, Caixa Postal 6154, BR-13083970 Sao Paulo, BrazilUniv Estadual Campinas UNICAMP, Dept Analyt Chem, Inst Chem, Caixa Postal 6154, BR-13083970 Sao Paulo, BrazilUniv Fed Sao Paulo UNIFESP, Dept Psychiat, Rua Borges Lagoa 570, BR-04038020 Sao Paulo, BrazilUniv Fed Sao Paulo UNIFESP, Dept Pharmacol, Rua Tres Maio 100, BR-04044020 Sao Paulo, BrazilCNPqFAPESP: 2014/18938-8Web of Scienc

Inflammation, neurotrophism and oxidative stress and childhood psychopathology in a large community sample

Objective: To investigate the association between peripheral biomarkers and child psychopathology in a large community sample. Method: A total of 625 aged 6- to 13-year old subjects were recruited from a community school-based study. Psychopathology was assessed using the Child Behaviour Checklist (CBCL). Psychiatric diagnosis was evaluated using the Development and Well-Being Assessment. The following biomarkers were examined in peripheral blood: brain-derived neurotrophic factor, cytokines (IL-2, IL-4, IL-6, IL-10, IL-17, IFN-g, and TNF-alpha), chemokines (eotaxin/CCL11, IP-10, MCP-1), cytokine receptors (sTNFR1 and sTNFR2), and the oxidative stress marker TBARS. Results: We found significant associations between sTNFR2, eotaxin/CCL11 and CBCL total score, as well as with specific dimensions of psychopathology. There were different patterns of association between these biomarkers and psychological and behavioural symptoms in children with and without a mental disorder. TBARS, IL-6 and MCP-1 were more specific to some clusters of symptoms in children with a psychiatric diagnosis. Conclusion: Our data support the potential use of biomarkers, especially those involved in immune-inflammatory pathways, in investigating neurodevelopmental psychopathology. Their association with different dimensions of symptoms might be of useful when analyzing illness severity and clusters of symptoms within specific disorders.National Institute of Developmental Psychiatry for Children and Adolescents, a science and technology institute - Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq)Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP; Research Support Foundation of the State of Sao Paulo)Natl Inst Dev Psychiat INPD, Sao Paulo, BrazilFed Univ Sao Paulo UNIFESP, Dept Psychiat, Program Recognit & Intervent Individuals At Risk, Sao Paulo, BrazilFed Univ Sao Paulo UNIFESP, Dept Psychiat, Interdisciplinary Lab Clin Neurosci LINC, Sao Paulo, BrazilPontificial Catolic Univ Rio Grande do Sul PUCRS, Postgraduat Program Psychol, Porto Alegre, RS, BrazilPontificial Catolic Univ Rio Grande do Sul PUCRS, Dev Cognit Neurosci Res Grp GNCD, Porto Alegre, RS, BrazilFed Univ Rio Grande do Sul UFRGS, Mol Psychiat Unit, Porto Alegre, RS, BrazilFed Univ Rio Grande do Sul UFRGS, Natl Sci & Technol Inst Translat Med INCT TM, Porto Alegre, RS, BrazilUniv Texas Hlth Sci Ctr Houston, Dept Psychiat & Behav Sci, UT Ctr Mol Psychiat, Houston, TX 77030 USAUniv Fed Minas Gerais, Translat Psychoneuroimmunol Grp, Belo Horizonte, MG, BrazilFed Univ Rio Grande do Sul UFRGS, Lab Mol Psychiat, Porto Alegre, RS, BrazilUniv Sao Paulo, Fac Med, Dept Psychiat, Sao Paulo, BrazilFed Univ Sao Paulo UNIFESP, Dept Psychiat, Program Recognit & Intervent Individuals At Risk, Sao Paulo, BrazilFed Univ Sao Paulo UNIFESP, Dept Psychiat, Interdisciplinary Lab Clin Neurosci LINC, Sao Paulo, BrazilCNPq: 573974/2008-0FAPESP: 2008/57896-8Web of Scienc

Obsessive-Compulsive Symptoms and Other Symptoms of the At-risk Mental State for Psychosis: A Network Perspective

© 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.Background: The high prevalence of obsessive-compulsive symptoms (OCS) among subjects at Ultra-High Risk (UHR) for psychosis is well documented. However, the network structure spanning the relations between OCS and symptoms of the at risk mental state for psychosis as assessed with the Comprehensive Assessment of At Risk Mental States (CAARMS) has not yet been investigated. This article aimed to use a network approach to investigate the associations between OCS and CAARMS symptoms in a large sample of individuals with different levels of risk for psychosis. Method: Three hundred and forty-one UHR and 66 healthy participants were included, who participated in the EU-GEI study. Data analysis consisted of constructing a network of CAARMS symptoms, investigating central items in the network, and identifying the shortest pathways between OCS and positive symptoms. Results: Strong associations between OCS and anxiety, social isolation and blunted affect were identified. Depression was the most central symptom in terms of the number of connections, and anxiety was a key item in bridging OCS to other symptoms. Shortest paths between OCS and positive symptoms revealed that unusual thought content and perceptual abnormalities were connected mainly via anxiety, while disorganized speech was connected via blunted affect and cognitive change. Conclusions: Findings provide valuable insight into the central role of depression and the potential connective component of anxiety between OCS and other symptoms of the network. Interventions specifically aimed to reduce affective symptoms might be crucial for the development and prospective course of symptom co-occurrence