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Pro- and anti-inflammatory cytokines, but not CRP, are inversely correlated with severity and symptoms of major depression
Citation
Schmidt, FM and Schroder, T and Kirkby, KC and Sander, C and Suslow, T and Holdt, LM and Teusper, D and Hegerl, U and Himmerich, H, Pro- and anti-inflammatory cytokines, but not CRP, are inversely correlated with severity and symptoms of major depression, Psychiatry Research, 239 pp. 85-91. ISSN 0165-1781 (2016) [Refereed Article]
Copyright Statement
Copyright 2016 Elseiver Ireland Ltd.
DOI: doi:10.1016/j.psychres.2016.02.052
Abstract
To clarify findings of elevated cytokine levels in major depression (MD), this study aimed to investigate the relationship between serum levels of cytokines, symptoms of MD and antidepressant treatment outcome. At baseline (T0) and 4 weeks following initiation of antidepressant treatment (T1), levels of tumor necrosis factor (TNF)-α, interferon (IFN)-γ, interleukin (IL)-2, IL-4, IL-5, IL-10, IL-12, IL-13, granulocyte-macrophage-colony-stimulating-factor (GM-CSF), CRP and depression ratings HAMD-17 and BDI-II were assessed in 30 patients with MD and 30 age-and sex-matched controls. At T0, in the patient group, cytokines, but not CRP, negatively correlated with individual BDI-II-items, factors and severities and showed both negative and positive correlations with HAMD-17 items. At T1 and within the controls, no such relationships were observed. At T0 and T1, levels of both pro- and anti-inflammatory cytokines were significantly higher in treatment responders (ΔHAMD-17T0-T1≥50%, n = 15) compared to non-responders. When controlled for baseline BDI, differences between groups were only found significant for IL-2 at T0. The results suggest cytokines are not generally pro-depressive but rather relate to more specific regulation of symptoms and severities in MD. Together with the association between cytokines and treatment responder status, these data support cytokines as a promising but still controversial biomarker of depression.
Item Details
Item Type: | Refereed Article |
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Keywords: | antidepressant treatment prediction, BDI-II, biomarker, depressive symptoms, hAMD-17, immunity, inflammation |
Research Division: | Health Sciences |
Research Group: | Health services and systems |
Research Field: | Mental health services |
Objective Division: | Health |
Objective Group: | Public health (excl. specific population health) |
Objective Field: | Mental health |
UTAS Author: | Kirkby, KC (Professor Kenneth Kirkby) |
ID Code: | 107344 |
Year Published: | 2016 |
Web of Science® Times Cited: | 48 |
Deposited By: | Medicine |
Deposited On: | 2016-03-11 |
Last Modified: | 2022-08-25 |
Downloads: | 0 |
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