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Plasma metabonomics study of first-Episode schizophrenia treated with olanzapine in female patients.

Neuroscience letters | 2016

Schizophrenia is a persistent chronic mental illness with an unknown pathogenic mechanism; no empirical laboratory-based tests are available to support the diagnosis of schizophrenia or to identify biomarkers correlated with the therapeutic effect of olanzapine. For this study, 15 female first-episode, drug-naïve patients with schizophrenia and 15 healthy female volunteers were recruited. Tests for blood glucose and lipids were conducted at baseline and after 4 weeks of treatment with olanzapine. UPLC-MS based metabonomic analysis was performed on both case and control groups to identify biomarkers of schizophrenia at baseline and to explore which biomarkers correlated with the therapeutic effect of olanzapine after a 4-week treatment. Compared with the control group, the case group showed significant changes in plasma metabolites. Thirteen distinct metabolites were identified. Among all the therapeutically effective cases, levels of these metabolites appeared to shift towards the normal trend; 8 of the identified 13 metabolites changed dramatically. The metabolites that we found are potential biomarkers for the diagnosis and treatment of schizophrenia.

Pubmed ID: 26924724 RIS Download

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HMDB (tool)

RRID:SCR_007712

Curated collection of human metabolite and human metabolism data which contains records for endogenous metabolites, with each metabolite entry containing detailed chemical, physical, biochemical, concentration, and disease information. This is further supplemented with thousands of NMR and MS spectra collected on purified reference metabolites.

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METLIN (tool)

RRID:SCR_010500

A public repository of metabolite information as well as tandem mass spectrometry data is provided to facilitate metabolomics experiments. It contains structures and represents a data management system designed to assist in a broad array of metabolite research and metabolite identification. An annotated list of known metabolites and their mass, chemical formula, and structure are available. Each metabolite is linked to outside resources for further reference and inquiry. MS/MS data is also available on many of the metabolites.

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KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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