Literature DB >> 24565079

Metabolomic profiling of schizophrenia patients at risk for metabolic syndrome.

R Madelaine Paredes1, Marlon Quinones1, Ketan Marballi2, Xiaoli Gao3, Celina Valdez1, Seema S Ahuja4, Dawn Velligan1, Consuelo Walss-Bass1.   

Abstract

Second-generation antipsychotics (SGAs) are commonly used to treat schizophrenia. However, SGAs cause metabolic disturbances that can manifest as metabolic syndrome (MetS) in a subset of patients. The causes for these metabolic disturbances remain unclear. We performed a comprehensive metabolomic profiling of 60 schizophrenia patients undergoing treatment with SGAs that puts them at high (clozapine, olanzapine), medium (quetiapine, risperidone), or low (ziprasidone, aripiprazole) risk for developing MetS, compared to a cohort of 20 healthy controls. Multiplex immunoassays were used to measure 13 metabolic hormones and adipokines in plasma. Mass spectrometry was used to determine levels of lipids and polar metabolites in 29 patients and 10 controls. We found that levels of insulin and tumor necrosis factor alpha (TNF-α) were significantly higher (p < 0.005) in patients at medium and high risk for MetS, compared to controls. These molecules are known to be increased in individuals with high body fat content and obesity. On the other hand, adiponectin, a molecule responsible for control of food intake and body weight, was significantly decreased in patients at medium and high risk for MetS (p < 0.005). Further, levels of dyacylglycerides (DG), tryacylglycerides (TG) and cholestenone were increased, whereas α-Ketoglutarate and malate, important mediators of the tricarboxylic acid (TCA) cycle, were significantly decreased in patients compared to controls. Our studies suggest that high- and medium-risk SGAs are associated with disruption of energy metabolism pathways. These findings may shed light on the molecular underpinnings of antipsychotic-induced MetS and aid in design of novel therapeutic approaches to reduce the side effects associated with these drugs.

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Year:  2014        PMID: 24565079     DOI: 10.1017/S1461145714000157

Source DB:  PubMed          Journal:  Int J Neuropsychopharmacol        ISSN: 1461-1457            Impact factor:   5.176


  19 in total

1.  Body and liver fat content and adipokines in schizophrenia: a magnetic resonance imaging and spectroscopy study.

Authors:  Jong-Hoon Kim; Jung-Hyun Kim; Pil-Whan Park; Jürgen Machann; Michael Roden; Sheen-Woo Lee; Jong-Hee Hwang
Journal:  Psychopharmacology (Berl)       Date:  2017-03-18       Impact factor: 4.530

2.  Targeted High Performance Liquid Chromatography Tandem Mass Spectrometry-based Metabolomics differentiates metabolic syndrome from obesity.

Authors:  Fanyi Zhong; Mengyang Xu; Richard S Bruno; Kevin D Ballard; Jiangjiang Zhu
Journal:  Exp Biol Med (Maywood)       Date:  2017-01-01

3.  X-Aptamer Technology Identifies C4A and ApoB in Blood as Potential Markers for Schizophrenia.

Authors:  Consuelo Walss-Bass; Ganesh L R Lokesh; Elena Dyukova; David G Gorenstein; David L Roberts; Dawn Velligan; David E Volk
Journal:  Mol Neuropsychiatry       Date:  2018-10-10

4.  The tryptophan catabolite or kynurenine pathway in schizophrenia: meta-analysis reveals dissociations between central, serum, and plasma compartments.

Authors:  Abbas F Almulla; Asara Vasupanrajit; Chavit Tunvirachaisakul; Hussein K Al-Hakeim; Marco Solmi; Robert Verkerk; Michael Maes
Journal:  Mol Psychiatry       Date:  2022-04-14       Impact factor: 15.992

5.  Quality of Life and Hormonal, Biochemical, and Anthropometric Profile Between Olanzapine and Risperidone Users.

Authors:  Aurigena Antunes de Araújo; Susana Barbosa Ribeiro; Ana Cely Souza Dos Santos; Telma Maria Araújo Moura Lemos; Caroline Addison Xavier Medeiros; Gerlane Coelho Bernardo Guerra; Raimundo Fernandes de Araújo Júnior; Antoni Serrano-Blanco; Maria Rubio-Valera
Journal:  Psychiatr Q       Date:  2016-06

6.  Transcriptome alterations of mitochondrial and coagulation function in schizophrenia by cortical sequencing analysis.

Authors:  Kuo-Chuan Huang; Ko-Chun Yang; Han Lin; Theresa Tsun-Hui Tsao; Sheng-An Lee
Journal:  BMC Genomics       Date:  2014-12-08       Impact factor: 3.969

7.  c-Myc and AMPK Control Cellular Energy Levels by Cooperatively Regulating Mitochondrial Structure and Function.

Authors:  Lia R Edmunds; Lokendra Sharma; Huabo Wang; Audry Kang; Sonia d'Souza; Jie Lu; Michael McLaughlin; James M Dolezal; Xiaoli Gao; Susan T Weintraub; Ying Ding; Xuemei Zeng; Nathan Yates; Edward V Prochownik
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

8.  Metabolomic Profiling of Post-Mortem Brain Reveals Changes in Amino Acid and Glucose Metabolism in Mental Illness Compared with Controls.

Authors:  Rong Zhang; Tong Zhang; Ali Muhsen Ali; Mohammed Al Washih; Benjamin Pickard; David G Watson
Journal:  Comput Struct Biotechnol J       Date:  2016-02-26       Impact factor: 7.271

Review 9.  Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders.

Authors:  Sumit Sethi; Elisa Brietzke
Journal:  Int J Neuropsychopharmacol       Date:  2015-10-09       Impact factor: 5.176

10.  Increased Circulating Levels of Alpha-Ketoglutarate in Morbidly Obese Women with Non-Alcoholic Fatty Liver Disease.

Authors:  Gemma Aragonès; Teresa Auguet; Alba Berlanga; Esther Guiu-Jurado; Salomé Martinez; Sandra Armengol; Fàtima Sabench; Rosa Ras; Mercè Hernandez; Carmen Aguilar; Josep Colom; Joan Josep Sirvent; Daniel Del Castillo; Cristóbal Richart
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

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