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Pro-inflammatory markers and fatigue in patients with depression: A case-control study
Bruno Pedraz-Petrozzi1, Elena Neumann2, Gebhard Sammer3,4
1Cognitive Neurosciences at the Center for Psychiatry and Psychotherapy, Justus-Liebig University, Giessen, Hessen, Germany. Bruno.Pedraz@med.uni-giessen.de.
Depression and fatigue are linked to inflammation, with distinct pro-inflammatory markers correlating with each condition. This suggests biological heterogeneity in depression and fatigue, impacting treatment approaches.
Area of Science:
- Neuroscience
- Immunology
- Psychiatry
Background:
- Depression is frequently accompanied by fatigue.
- Inflammation is increasingly recognized as a factor in depression.
- The relationship between specific fatigue dimensions and inflammatory markers in depression requires further investigation.
Purpose of the Study:
- To investigate differences in fatigue dimensions and inflammation between depressed participants (PG) and healthy controls (HCG).
- To explore correlations between pro-inflammatory markers and depression/fatigue symptoms within each group.
Main Methods:
- Recruited 43 depressed participants (PG) and 51 healthy controls (HCG).
- Assessed Interleukin-6 (IL-6), Interleukin-1 beta (IL-1β), Tumor Necrosis Factor-alpha (TNF-α), Interferon-gamma (IFN-γ), and C-reactive protein (CRP) in blood samples.
- Utilized the Fatigue Impact Scale for Depression (FIS-D) and Beck Depression Inventory-Fast Screen (BDI-FS) for assessments.
Main Results:
- Depressed participants (PG) exhibited higher BDI-FS scores and significant differences in fatigue dimensions compared to HCG.
- A moderate group effect for pro-inflammatory markers was observed between PG and HCG, primarily driven by IL-6.
- Correlations between specific inflammatory markers (TNF-α, IL-6) and fatigue dimensions (cognitive, psychosocial, somatic) were identified within both groups, alongside psychological variable correlations.
Conclusions:
- Inflammation is present in both depression and fatigue.
- Distinct pro-inflammatory profiles correlate with depression and fatigue, indicating biological heterogeneity.
- These findings may inform targeted therapeutic strategies for depression and fatigue.
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