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[The relationship between inflammation, cognitive disorders and neuroimaging data in schizophrenia].
- Source :
-
Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova [Zh Nevrol Psikhiatr Im S S Korsakova] 2020; Vol. 120 (11), pp. 70-78. - Publication Year :
- 2020
-
Abstract
- Objective: To search for the relationship between the results of functional imaging, immunological parameters and laboratory markers of inflammation in schizophrenia, taking into account cognitive impairment in patients, and to consider the possibility of using a multidisciplinary approach to diagnosis, treatment and prognosis of schizophrenia.<br />Material and Methods: The study included 25 patients with schizophrenia and 13 healthy volunteers. Psychiatric scales were administered to evaluate the patient's condition. The main indicators of humoral immunity, the level of markers of inflammation, key pro-inflammatory and anti-inflammatory cytokines, and growth factor VEGF were determined by ELISA. Brain MRI was performed. All calculated tractographic data are included in the connection database to study the effect of immunological markers and the degree of severity of cognitive impairment.<br />Results and Conclusion: Levels of markers of systemic inflammation and growth factor VEGF-A as well as the activation of humoral immunity are increased in patients with schizophrenia compared with controls. For the first time, the relationship of immunological parameters with the coefficient of quantitative anisotropy in the area of the corpus callosum in schizophrenia was revealed. The results indicate the possible value of indicators of the activation of the humoral immune response and systemic inflammation as markers of neurophysiological changes and cognitive dysfunction in schizophrenia.
Details
- Language :
- Russian
- ISSN :
- 1997-7298
- Volume :
- 120
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova
- Publication Type :
- Academic Journal
- Accession number :
- 33340301
- Full Text :
- https://doi.org/10.17116/jnevro202012011170