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Bob P, Raboch J, Maes M, Susta M, Pavlat J, Jasova D, Vevera J, Uhrova J, Benakova H, Zima T.
Center for Neuropsychiatric Research of Traumatic Stress, Department of Psychiatry, 1st Faculty of Medicine, Charles University, Prague, Czech Republic; Department of Clinical Biochemistry and Laboratory Diagnostics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic; Clinical Research Center for Mental Health, Antwerp, Belgium
Background: Recent evidence indicates that various types of interactions between nervous and immune system are important in pathogenesis of depression. These findings show that a significant role in developing depression play pro-inflammatory cytokines that may mediate its psychological, and neurobiological manifestations. Great importance among these cytokine molecules plays interleukin-6 (IL-6). There is growing evidence that this inflammatory process related to depression may be influenced by psychological stress as well as organic inflammatory conditions. These findings suggest that specific influences related to traumatic stress and dissociation could be found in close relationship to increased level of cytokine IL-6.
Methods: In the present study we have performed psychometric measurement of depression (BDI-II), traumatic stress symptoms (TSC-40) and dissociation (DES, SDQ-20), and immunochemical measure of serum IL-6 in 40 inpatients with unipolar depression (mean age 42.3 ± 6.8).
Results: The results show that IL-6 is significantly correlated to BDI-II (Spearman R = 0.47, p < 0.01), TSC-40 (Spearman R = 0.32, p < 0.05), SDQ-20 (Spearman R = 0.34, p < 0.05) but not to DES (Spearman R = 0.25, p = 0.11).
Conclusion: The findings of the present study indicate that increased level of IL-6 in depression could be directly related to symptoms of traumatic stress and somatoform dissociation.
(Information links added; ed.)
tags: clinical depression cytokines interleukin6 post traumatic stress disorder
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Epidemiological studies describing population characteristics which collect data at one point in time and then consider relationships between observed characteristics.. Because they don't look at time trends they cannot establish causes.
