Objective: Major depressive disorder (MDD) is associated with low-grade inflammation, and it is considered a risk factor for coronary artery disease (CAD). CD40 ligand (CD40L) plays an important role in inflammation, platelet activation, and clotting system activation. We investigated soluble CD40L (sCD40L) expression in MDD and assessed whether it may represent a molecular mechanism that links inflammation and a prothrombotic state and whether this condition may be modified by selective serotonin reuptake inhibitor (SSRI) therapy.
Method: Levels of sCD40L, interleukin-1beta (IL-1beta), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), soluble P-selectin (sP-selectin), activated factor VII (FVIIa), and prothrombin fragment 1+2 (F1+2) were measured in 46 drug-naïve, first-episode MDD patients without conventional CAD risk factors and in 46 matched healthy controls. Participants were screened between March 2002 and November 2005. Twenty of the 46 MDD patients were then randomly assigned to either sertraline 100 mg/day (N = 10) or citalopram 20 mg/day (N = 10); the aforementioned variables were measured at baseline and after 6 weeks of treatment.
Results: Compared with control subjects, MDD patients had higher baseline levels of sCD40L, IL-1beta, IL-6, TNF-alpha, sP-selectin, FVIIa, and F1+2. In the clinical group, sCD40L levels, HAM-D total scores, and proinflammatory markers were strongly intercorrelated. In contrast, there were no significant correlations in the control group. Mood improvement achieved with SSRI therapy was associated with significant reduction in sCD40L, proinflammatory markers, and prothrombotic markers expression. (All p values < .0001.)
Conclusions: This pilot study shows that CD40/ CD40L pathway up-regulation in MDD patients relates increased levels of sCD40L to a prothrombotic state and, preliminarily, indicates that SSRI therapy may significantly reduce sCD40L and CD40L levels associated with proinflammatory and prothrombotic states.
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http://dx.doi.org/10.4088/jcp.v67n1114 | DOI Listing |
Neuropsychopharmacol Hung
December 2024
Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, Budapest, Hungary.
Background: Major depressive disorder (MDD) is a complex psychiatric condition significantly impacted by environmental stress and inflammation. Previous research suggests that stress-induced alterations in the blood-brain barrier (BBB) may allow pro-inflammatory cytokines like interleukin-6 (IL-6) to enter the brain, contributing to depression. Tumor necrosis factor-alpha (TNF-α) is another prominent cytokine implicated in depression, but its role in the context of BBB integrity and stress-mediated depression remains unclear.
View Article and Find Full Text PDFHum Brain Mapp
January 2025
Amsterdam UMC, Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, the Netherlands.
Accurately predicting individual antidepressant treatment response could expedite the lengthy trial-and-error process of finding an effective treatment for major depressive disorder (MDD). We tested and compared machine learning-based methods that predict individual-level pharmacotherapeutic treatment response using cortical morphometry from multisite longitudinal cohorts. We conducted an international analysis of pooled data from six sites of the ENIGMA-MDD consortium (n = 262 MDD patients; age = 36.
View Article and Find Full Text PDFClin Dermatol
January 2025
Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA; GK Dermatology PC, South Weymouth, MA, USA. Electronic address:
There is a significant amount of research examining the link between psoriasis and common mental health disorders; however, studies on less common psychiatric disorders, such as bipolar disorder (BD), remain limited. We conducted a systematic review of studies in the PubMed and Cochrane databases that explored the relationship between BD and psoriasis. Additionally, we evaluated the impact of lithium on psoriasis in patients with BD and included a quality assessment of all the studies.
View Article and Find Full Text PDFPsychiatry Res Neuroimaging
December 2024
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AE, Eindhoven, Netherlands; Department of Research and Development, Epilepsy Centre Kempenhaeghe, Sterkselseweg 65, 5590 AB, Heeze, Netherlands.
Research Purpose: Subjective clinical decision-making in major depressive disorder (MDD) may result in low treatment effectiveness. This study aims to identify objective predictors of MDD outcome using resting-state functional MRI scans, acquired from 25 MDD patients at baseline. Over a year, patients were assessed every 3 months, labeled as positive or negative outcome (change in depression severity).
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