Sleep problems are frequently associated with the principal diagnostic criteria for many mental disorders. Alterations in the sleep of depressive patients are of high clinical significance because continuous sleep problems raise the chance of relapse, recurrence, or suicide, as well as the need for augmenting medications. Most antidepressants have been proven to influence the sleep architecture. While some classes of antidepressants improve sleep, others may cause sleep impairment. The successful treatment of depressive disorder also requires an understanding of the effects of antidepressants on sleep. This article briefly reviews the physiology of sleep and the typical alterations in the sleep architecture in depressive patients and updates the different effects of the majority of antidepressants including novel drugs in clinical practice on sleep. The summary of the updated scientific findings of the relationship between depression and sleep disturbances could be clinically beneficial in choosing the best medication for depressive patients with concurrent sleep disorders.

Depression is a common mental disorder affecting more than 264 million people in the world and 5.1% of the Slovak population. Although various antidepressant approaches have been used; still, about 40% of patients do not respond to a first-choice drug administration and one third of patients do not achieve total remission. Therapeutic drug monitoring (TDM) is a method used for quantification and interpreting the drug concentrations in plasma in order to optimize the pharmacotherapy. The aim of this study was to measure the plasma concentrations of venlafaxine, the fourth most prescribed antidepressant in Slovakia, as well as its active metabolite and interpret them with the relevant patients’ characteristics. The study was of retrospective nature and 28 adult patients in total were included. The concentrations of venlafaxine and its active metabolite O-desmethylvenlafaxine (ODV) in plasma were quantified using the validated UHPLC-MS/MS method. The effects of potential influencing factors were evaluated by a multivariate linear regression model. Only 39% of patients reached the venlafaxine active moiety concentrations within the recommended therapeutic range. Plasma concentrations were dependent on age, gender, and duration of the therapy. Venlafaxine metabolism expressed as a metabolite-to-parent concentrations ratio was influenced by a combination of age, gender, and body mass index (BMI). We did not observe any significant difference in plasma concentrations between the patients with a single and recurrent diagnosis of depression. Combining variables made an additive effect on plasma concentrations, for example, active moiety plasma concentrations were higher in older women. In contrast, drug metabolism was higher in older men and men with lower BMI. TDM of venlafaxine is recommended in clinical practice, especially in the elderly when beginning the pharmacotherapy.

Mental disorders affect 10-20 % of the young population in the world. Major depressive disorder (MDD) is a common mental disease with a multifactorial and not clearly explained pathophysiology. Many cases remain undetected and untreated, which influences patients' physical and mental health and their quality of life also in adulthood. The aim of our pilot study was to assess the prediction value of selected potential biomarkers, including blood cell counts, blood cell ratios, and parameters like peroxiredoxin 1 (PRDX1), tenascin C (TNC) and type IV collagen (COL4) between depressive pediatric patients and healthy peers and to evaluate a short effect of antidepressant treatment. In this study, 27 young depressive patients and 26 non-depressed age-matched controls were included. Blood analyses and immunological assays using commercial kits were performed. Platelet count was the only blood parameter for which the case/control status was statistically significant (p=0.01) in a regression model controlling for the age and gender differences. The results from ELISA analyses showed that the case/control status is a significant predictor of the parameters PRDX1 (p=0.05) and COL4 (p=0.009) in respective regression model considering the age and gender differences between MDD patients and controls. A major finding of this study is that values of platelet count, monocyte to lymphocyte ratio, white blood cell, and monocyte counts were assessed by the Random Forest machine learning algorithm as relevant predictors for discrimination between MDD patients and healthy controls with a power of prediction AUC=0.749.

Introduction: With an increasing prevalence of major depressive disorder (MDD) in population there is a particular interest in finding a suitable biomarker for diagnosis and prognosis of the disease. Many studies have shown that MDD is linked to a systemic inflammatory process, so blood elements counts and ratios have been suggested to be promising indicators in the management and effectiveness of the disease therapy. The aim of this retrospective study was to compare absolute and relative white blood cells counts and to search for any changes in their ratios before and after the therapy of the patients. Methods: Our study included 36 patients who were admitted to hospital with either a new diagnosis or a recurrent episode of MDD and who were treated by a standard protocol. The peripheral blood samples were collected both at admission and at hospital discharge. Absolute white blood cell count and counts of neutrophils, lymphocytes, monocytes, platelets, as well as mean platelet volume, red blood cell distribution width, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and monocyte/lymphocyte ratio before and after hospitalization (14–29 days) were evaluated and compared. The test of normality was performed and, accordingly, single t-test or Mann-Whitney U-test was used for data analysis. Results: There were no significant differences between any blood cell ratios in blood samples before and after stay in hospital and appropriate treatment. Monocyte count was significantly higher in MDD patients after hospital discharge (p=0.007), there was a significantly higher difference in discharged patients suffering from MDD recurrent episode (F.33) compared to newly diagnosed MDD (F.32) patients (p=0.010). In patients treated with venlafaxine (N=23) there was a significant increase in monocyte/lymphocyte ratio observed at the end of hospitalization (p=0.018). Conclusions: The pharmacotherapy and additive treatment of the patients suffering from MDD led only to mild changes in blood cells counts. As our study included only a small number of patients, and blood cell parameters and ratios were compared after a relatively short duration of treatment, further and more detailed research is needed for final conclusions.