OBJECTIVE
To analyze clinical parameters and effectiveness of therapy in depressed patients of late age with different activity of enzymes of energy, glutamate metabolism and antioxidant glutathione system in platelets and red blood cells.
MATERIAL AND METHODS
The study included 53 hospitalized patients (41 women and 12 men), aged 60 to 86 years (median — 66 years), with a depressive episode of mild to marked severity within the framework of recurrent depressive disorder, bipolar affective disorder or a single depressive episode according to ICD-10. The patients were examined using clinical, psychometric, biochemical and statistical methods. Psychometric assessment of patients’ condition was performed before the start of therapy and on the 28th day of treatment using HAMD-17 and HARS. Blood sampling was carried out to determine the activity of cytochrome c-oxidase (COX), glutathione reductase (GR), glutathione S-transferase (GST) and glutamate dehydrogenase (GDH).
RESULTS
Cluster analysis revealed 3 clusters (Cl.1, Cl.2, Cl.3), which differed in biochemical indicators. In Cl.1 (n=24, 45.2%), there was a decrease in the activity of COX (p<0.05) and a decrease of GR activity in red blood cells and GST activity in platelets (p<0.001). Patients of Cl.2 (n=11, 20.8%) had increased COX activity (p<0.001) and decreased GDH activity (p<0.001). In patients of Cl.3 (n=18, 34%) the enzyme activity was similar to that in the controls. Later age at disease onset was observed in Cl.1 compared to Cl.2 (51 years [40; 60.5] and 32 years [19; 59], p=0.052). Compared with Cl.2 and Cl.3, patients of Cl.1 significantly more often (p<0.05) had apathetic depressions (41.7%), while complex depressions were observed almost 2 times less often than in Cl.2 (50% and 91.9%, p<0.05). The effectiveness and tolerability of psychopharmacotherapy was higher in Cl.3.
CONCLUSION
There is a relationship between the nature of changes in metabolic parameters and differences in the phenomenology and course of late-age depression. The results of the study open up new directions in the field of predicting the effectiveness of therapy and the development of personalized therapeutic approaches to improve the effectiveness and safety of treatment of depressed elderly patients.
