Publications by authors named "G V Kostyuk"

Numerous brain imaging studies have reported white matter alterations in schizophrenia, but the lipidome analysis of the corresponding tissue remains incomplete. In this study, we investigated the lipidome composition of six subcortical white matter regions corresponding to major axonal tracks in both control subjects and schizophrenia patients. All six regions exhibited a consistent pattern of quantitative lipidome alterations in schizophrenia, involving myelin-forming and mitochondria associated lipid classes.

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. Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. It has been suggested that the factors that cause pathologic changes and lead to the development of AD may also include changes in certain neuropeptides.

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Objective: To assess the possibility of achieving physiological ketosis with oral administration of beta-hydroxybutyrate salts and, if ketosis is achieved, to assess its effect on cognitive functioning in patients with brain dysfunction during the recovery period after a somatic disease.

Material And Methods: The study included 86 patients with complaints of asthenic manifestations (ICD-10 diagnoses F06; F07; R53). Half of the patients were included in the study group taking beta-hydroxybutyrate salts, and the other half were included in the control group taking placebo.

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Article Synopsis
  • - The study examines the potential role of lipids as biomarkers for diagnosing anxiety and depression, which are major contributors to mental health issues and disability, despite the lack of existing biochemical tests for these conditions.
  • - Researchers analyzed blood plasma lipid levels in a group of 604 urban individuals and compared them to 32 patients with clinical depression, finding significant correlations between lipid levels and the severity of depressive symptoms.
  • - The findings suggest that lipid alterations seen in clinically depressed patients can also be observed in the general population, leading to the creation of a predictive model with high accuracy for identifying individuals with severe depressive symptoms.
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Background: Post-traumatic stress disorder (PTSD) can occur after a traumatic event. PTSD is characterized by nightmares, flashbacks and avoidance of stressors. It currently affects 2-8% of the population, with military personnel particularly susceptible.

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