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.

(1) Introduction: Extrapyramidal disorders form the so-called extrapyramidal syndrome (EPS), which is characterized by the occurrence of motor disorders as a result of damage to the basal ganglia and the subcortical-thalamic connections. Often, this syndrome develops while taking medications, in particular antipsychotics (APs). (2) Purpose: To review studies of candidate genes encoding dopamine receptors as genetic predictors of development of AP-induced parkinsonism (AIP) and AP-induced tardive dyskinesia (AITD) in patients with schizophrenia. (3) Materials and Methods: A search was carried out for publications of PubMed, Web of Science, Springer, and e-Library databases by keywords and their combinations over the last 10 years. In addition, the review includes earlier publications of historical interest. Despite extensive searches of these commonly used databases and search terms, it cannot be ruled out that some publications were possibly missed. (4) Results: The review considers candidate genes encoding dopamine receptors involved in pharmacodynamics, including genes DRD1, DRD2, DRD3, and DRD4. We analyzed 18 genome-wide studies examining 37 genetic variations, including single nucleotide variants (SNVs)/polymorphisms of four candidate genes involved in the development of AIP and AITD in patients with schizophrenia. Among such a set of obtained results, only 14 positive associations were revealed: rs1799732 (141CIns/Del), rs1800497 (C/T), rs6275 (C/T), rs6275 (C/T) DRD2; rs167771 (G/A) DRD3 with AIP and rs4532 (A/G) DRD1, rs6277 (C/T), rs6275 (C/T), rs1800497 (C/T), rs1079597 (A/G), rs1799732 (141CIns/Del), rs1045280 (C/G) DRD2, rs6280 (C/T), rs905568 (C/G) DRD3 with AITD. However, at present, it should be recognized that there is no final or unique decision on the leading role of any particular SNVs/polymorphisms in the development of AIP and AITD. (5) Conclusion: Disclosure of genetic predictors of the development of AIP and AITD, as the most common neurological adverse drug reactions (ADRs) in the treatment of patients with psychiatric disorders, may provide a key to the development of a strategy for personalized prevention and treatment of the considered complication of AP therapy for schizophrenia in real clinical practice.

The article discusses the current state of the use of pharmacogenetic testing in clinical practice in the field of psychiatry, narcology and neurology in the Russian Federation. The active introduction of pharmacogenetic testing in clinical practice contributes to a personalized approach to predicting the pharmacological response to drugs, increasing the safety and effectiveness of pharmacotherapy, complience and the quality of life of patients with neuropsychiatric disorders. In the future, an increase in the availability of pharmacogenetic testing in real clinical practice is expected.

Antipsychotics (APs) are the base of schizophrenia pharmacotherapy. There are large individual differences in effectiveness and adverse drug reactions (ADRs) of APs. There is an urgent need for a personalized approach to the therapy. Genetic factors are predisposed to patient's response to APs therapy. Pharmacogenetic studies of APs have examined a number of single nucleotide variants (SNVs), of which only a few were associated with therapeutic efficacy and ADRs development. However, only a limited number of these results have clinical applications in psychiatry. Nowadays, it seems promising to study SNVs of leptin system genes (LEP, LEPR) and neuropeptide Y (NRY). Studying the mechanisms of APs-induced weight growth will allow their transmission to a personalized approach. It will help psychiatrists in patients’ selection for the APs therapy. This will increase safety and effectiveness of the therapy, improve the quality of life and adherence to therapy in patients with schizophrenia.

Background: The usage of antipsychotics (APs) is the most robust and scientifically based approach in the treatment of schizophrenia spectrum disorders (SSDs). The efficiency of APs is based on a range of target receptors of the central nervous system (CNS): serotoninergic, dopaminergic, adrenergic, histaminergic and cholinergic. Metabolic disorders are the most severe adverse drug reactions (ADRs) and lead to cardiovascular diseases with a high rate of mortality in patients with SSDs. Neuropeptide Y receptor Y5 (NPY5R) is known in the chain of interaction to target receptors for APs, agouti-related peptide receptors and proopiomelanocortin receptors. We studied the association of the single-nucleotide variants (SNVs) rs11100494 and rs6837793 of the NPY5R gene, and rs16147, rs5573, rs5574 of the NPY gene, with metabolic disorders in Russian patients with SSDs. Methods: We examined 99 patients with SSDs (mean age—24.56 years old). The mean duration of APs monotherapy was 8 weeks. The biochemical blood test included levels of glucose, cholesterol, lipoproteins, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total protein and albumin. Anthropometry included weight, height, waist circumference and hip circumference. We used real-time PCR to study the carriage of major and minor alleles of the SNV rs11100494 (1164C>A) of the NPY5R gene (chromosome localization—4q32.2). Group 1 comprised 25 patients with SSDs taking APs with a change in body weight of more than 6% since the start of APs therapy. Group 2 comprised 74 patients with SSDs taking APs with a change in body weight of less than 6% since the start of APs therapy. Results: We show the significance of genetic risk factors (carriage of major allele C of SNV rs11100494 of the NPY5R gene) for the development of AP-induced weight gain in Russian patients with SSDs. The allele C predisposes to AP-induced weight gain (OR = 33.48 [95% CI: 12.62; 88.82], p-value < 0.001). Additionally, the results of our study demonstrate that first-generation APs (FGAs) are more likely to cause an increase in serum transaminase levels but are less likely to increase body weight. Second-generation APs (SGAs) are more likely to cause weight gain and changes in serum glucose levels. Conclusion: Our study shows the predictive role of the allele C of SNV rs11100494 of the NPY5R gene in the development of AP-induced weight gain. However, we did not find a significant association between biochemical markers and this SNV in Russian patients with SSDs.

The majority of patients with alcohol dependence syndrome suffer from sleep disorders, particularly insomnia, associated with a number of critical clinical aspects, increased suicide risk, anxiety and depression. The authors of relevant publications indicate associations between polymorphic melatonin genes and melatonin metabolism and symptoms of sleep disorders. However, the literature review failed to reveal any studies on the role of genetic polymorphism of circadian rhythm regulators in sleep disorders in patients with alcohol dependence.Objective: to determine the associations of polymorphic variants of genes HTR2A, MTNR1A, MTNR1B, CLOCK, DRD2 with sleep disorders risk in alcohol dependence syndrome.Patients and methods. 307 patients with alcohol dependence syndrome were screened, including 61 women (21%) and 246 (79%) men (mean age – 41.92±7.9 years). The presence and severity of sleep disorders were assessed by the Insomnia Severity Index. In addition, 10 ml of venous blood sample was obtained from all participants. Genotyping of single nucleotide variants of HTR2A (rs6313), MTNR1A (rs34532313), MTNR1B (rs10830963), CLOCK (rs1801260), DRD2 (rs1800497) genes was performed using real-time polymerase chain reaction. Statistical analysis of the data was conducted using parametric and nonparametric methods.Results and discussion. The carriage of the *G allele of the polymorphic variant of the MTNR1B (rs10830963) gene, and its genotypes are associated with a greater risk of insomnia than the carriage of *С/*С genotype. The carriage of the *С allele of the polymorphic variant of the CLOCK (rs1801260) gene, as well as the *С/*Т genotype, are associated with the presence of sleep disorders. No associations between polymorphic variants of the HTR2A (rs6313), DRD2 (rs1800497) genes and insomnia risk were detected in patients with alcohol dependence syndrome.Conclusion. The found associations reveal prospects for future research on melatonin's role in the pathophysiology of sleep disorders in patients with alcohol dependence and pathogenetic therapy for insomnia.