Clinical Management Area of Psychiatry and Mental Health, Psychiatric Service, 12 de Octubre University Hospital, Madrid, Spain.
Department of Psychiatry, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain.
Curr Pharm Des. 2021;27(39):4049-4061. doi: 10.2174/1381612827666210804110139.
Diagnosis of schizophrenia lacks reliable medical diagnostic tests and robust biomarkers applied to clinical practice. Schizophrenic patients undergoing treatment with antipsychotics suffer reduced life expectancy due to metabolic disarrangements that co-exist with their mental illness and predispose them to develop metabolic syndrome, which is also exacerbated by medication. Metabolomics is an emerging and potent technology able to accelerate this biomedical research.
This review focus on a detailed vision of the molecular mechanisms involved both in schizophrenia and antipsychotic-induced metabolic syndrome, based on innovative metabolites that consistently change in nascent metabolic syndrome, drug-naïve, first episode psychosis and/or schizophrenic patients compared to healthy subjects. Main Lines: Supported by metabolomic approaches, although not exclusively, noteworthy variations are reported mainly through serum samples of patients and controls in several scenes: 1) alterations in fatty acids, inflammatory response indicators, amino acids and biogenic amines, biometals, and gut microbiota metabolites (schizophrenia); 2) alterations in metabolites involved in carbohydrate and gut microbiota metabolism, inflammation and oxidative stress (metabolic syndrome), some of them shared with schizophrenia; 3) alterations of cytokines secreted by adipose tissue, phosphatidylcholines, acylcarnitines, Sirtuin 1, orexin-A, and changes in microbiota composition (antipsychotic-induced metabolic syndrome).
Novel insights into the pathogenesis of schizophrenia and metabolic side-effects associated with its antipsychotic treatment represent an urgent request for scientists and clinicians. Leptin, carnitines, adiponectin, insulin, or interleukin-6 represent some examples of candidate biomarkers. Cutting-edge technologies like metabolomics have the power to strengthen research for achieving preventive, diagnostic, and therapeutical solutions for schizophrenia.
精神分裂症缺乏可靠的医学诊断测试和可应用于临床实践的强大生物标志物。接受抗精神病药物治疗的精神分裂症患者由于与精神疾病并存的代谢紊乱而预期寿命缩短,并易患代谢综合征,而药物治疗又使这种情况恶化。代谢组学是一种新兴的强大技术,能够加速这一生物医学研究。
本综述聚焦于精神分裂症和抗精神病药引起的代谢综合征相关的分子机制的详细认识,基于创新性代谢物,这些代谢物在新生代谢综合征、药物初发精神病和/或精神分裂症患者中与健康受试者相比持续变化。主要内容:虽然不是排他性的,但代谢组学方法支持报告了一些显著的变化,主要通过患者和对照的血清样本在以下几个方面:1)脂肪酸、炎症反应指标、氨基酸和生物胺、生物金属和肠道微生物群代谢物的变化(精神分裂症);2)涉及碳水化合物和肠道微生物群代谢、炎症和氧化应激的代谢物的变化(代谢综合征),其中一些与精神分裂症共享;3)脂肪组织分泌的细胞因子、磷脂酰胆碱、酰基辅酶 A、Sirtuin 1、食欲素-A 的变化以及微生物群落组成的变化(抗精神病药引起的代谢综合征)。
对精神分裂症发病机制和与其抗精神病治疗相关的代谢副作用的新认识是科学家和临床医生的迫切要求。瘦素、肉碱、脂联素、胰岛素或白细胞介素-6 是一些候选生物标志物的例子。代谢组学等前沿技术具有增强研究的力量,以实现针对精神分裂症的预防、诊断和治疗解决方案。