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Serum metabolite profile associates with the development of metabolic co-morbidities in first-episode psychosis

机译:首次代谢性精神病患者的血清代谢物谱与代谢合并症的发展有关

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Psychotic patients are at high risk for developing obesity, metabolic syndrome and type 2 diabetes. These metabolic co-morbidities are hypothesized to be related to both treatment side effects as well as to metabolic changes occurring during the psychosis. Earlier metabolomics studies have shown that blood metabolite levels are predictive of insulin resistance and type 2 diabetes in the general population as well as sensitive to the effects of antipsychotics. In this study, we aimed to identify the metabolite profiles predicting future weight gain and other metabolic abnormalities in psychotic patients. We applied comprehensive metabolomics to investigate serum metabolite profiles in a prospective study setting in 36 first-episode psychosis patients during the first year of the antipsychotic treatment and 19 controls. While corroborating several earlier findings when comparing cases and controls and the effects of the antipsychotic medication, we also found that prospective weight gain in psychotic patients was associated with increased levels of triacylglycerols with low carbon number and double-bond count at baseline, that is, lipids known to be associated with increased liver fat. Our study suggests that metabolite profiles may be used to identify the psychotic patients most vulnerable to develop metabolic co-morbidities, and may point to a pharmacological approach to counteract the antipsychotic-induced weight gain.
机译:精神病患者罹患肥胖症,代谢综合征和2型糖尿病的风险很高。假设这些代谢合并症与治疗副作用以及精神病期间发生的代谢变化有关。较早的代谢组学研究表明,血液代谢物水平可预测普通人群中的胰岛素抵抗和2型糖尿病,并对抗精神病药的作用敏感。在这项研究中,我们旨在确定可预测精神病患者未来体重增加和其他代谢异常的代谢物谱。在一项前瞻性研究中,我们采用综合代谢组学方法研究了抗精神病药物治疗第一年期间的36名首发精神病患者和19名对照者的血清代谢物谱。在比较病例和对照以及抗精神病药物的效果时,证实了一些较早的发现,我们还发现,精神病患者的预期体重增加与基线时低碳数和双键计数的三酰基甘油水平升高有关,也就是说,已知与肝脏脂肪增加有关的脂质。我们的研究表明,代谢物谱可用于鉴定最容易发生代谢合并症的精神病患者,并且可能指向抵消抗精神病药物引起的体重增加的药理方法。

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