Khasanova Aiperi K, Dobrodeeva Vera S, Shnayder Natalia A, Petrova Marina M, Pronina Elena A, Bochanova Elena N, Lareva Natalia V, Garganeeva Natalia P, Smirnova Daria A, Nasyrova Regina F
Institute of Personalized Psychiatry and Neurology, Shared Core Facilities, V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology, 192019 Saint Petersburg, Russia.
Shared Core Facilities Molecular and Cell Technologies, V.F. Voino-Yasenetsky Krasnoyarsk State Medical University, 660022 Krasnoyarsk, Russia.
Metabolites. 2022 Aug 5;12(8):726. doi: 10.3390/metabo12080726.
Metabolic syndrome (MetS) is a clustering of at least three of the following five medical conditions: abdominal obesity, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Antipsychotic (AP)-induced MetS (AIMetS) is the most common adverse drug reaction (ADR) of psychiatric pharmacotherapy. Herein, we review the results of studies of blood (serum and plasma) and urinary biomarkers as predictors of AIMetS in patients with schizophrenia (Sch). We reviewed 1440 studies examining 38 blood and 19 urinary metabolic biomarkers, including urinary indicators involved in the development of AIMetS. Among the results, only positive associations were revealed. However, at present, it should be recognized that there is no consensus on the role of any particular urinary biomarker of AIMetS. Evaluation of urinary biomarkers of the development of MetS and AIMetS, as one of the most common concomitant pathological conditions in the treatment of patients with psychiatric disorders, may provide a key to the development of strategies for personalized prevention and treatment of the condition, which is considered a complication of AP therapy for Sch in clinical practice.
代谢综合征(MetS)是以下五种医学状况中至少三种的聚集:腹部肥胖、高血压、高血糖、高血清甘油三酯和低血清高密度脂蛋白(HDL)。抗精神病药物(AP)诱发的代谢综合征(AIMetS)是精神科药物治疗中最常见的药物不良反应(ADR)。在此,我们综述了血液(血清和血浆)及尿液生物标志物作为精神分裂症(Sch)患者AIMetS预测指标的研究结果。我们检索了1440项研究,这些研究检测了38种血液和19种尿液代谢生物标志物,包括与AIMetS发生相关的尿液指标。在这些结果中,仅发现了正相关关系。然而,目前应该认识到,对于AIMetS的任何特定尿液生物标志物的作用尚无共识。评估MetS和AIMetS发生的尿液生物标志物,作为精神疾病患者治疗中最常见的伴随病理状况之一,可能为制定个性化的预防和治疗策略提供关键,在临床实践中,AIMetS被视为Sch患者AP治疗的一种并发症。