Major Depressive Disorder (MDD) is a leading cause of disability worldwide, creating a high medical and socioeconomic burden. There is a growing interest in the biological underpinnings of depression, which are reflected by altered levels of biological markers. Among others, enhanced inflammation has been reported in MDD, as reflected by increased concentrations of inflammatory markers-C-reactive protein, interleukin-6, tumor necrosis factor-α and soluble interleukin-2 receptor. Oxidative and nitrosative stress also plays a role in the pathophysiology of MDD. Notably, increased levels of lipid peroxidation markers are characteristic of MDD. Dysregulation of the stress axis, along with increased cortisol levels, have also been reported in MDD. Alterations in growth factors, with a significant decrease in brain-derived neurotrophic factor and an increase in fibroblast growth factor-2 and insulin-like growth factor-1 concentrations have also been found in MDD. Finally, kynurenine metabolites, increased glutamate and decreased total cholesterol also hold promise as reliable biomarkers for MDD. Research in the field of MDD biomarkers is hindered by insufficient understanding of MDD etiopathogenesis, substantial heterogeneity of the disorder, common co-morbidities and low specificity of biomarkers. The construction of biomarker panels and their evaluation with use of new technologies may have the potential to overcome the above mentioned obstacles.
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http://dx.doi.org/10.3390/jcm9123793 | DOI Listing |
Neuroimage Clin
January 2025
Backgrounds/objective: Deep brain stimulation (DBS) has proved the viability of alleviating depression symptoms by stimulating deep reward-related nuclei. This study aims to investigate the abnormal connectivity profiles among superficial, intermediate, and deep brain regions within the reward circuit in major depressive disorder (MDD) and therefore provides references for identifying potential superficial cortical targets for non-invasive neuromodulation.
Methods: Resting-state functional magnetic resonance imaging data were collected from a cohort of depression patients (N = 52) and demographically matched healthy controls (N = 60).
Brain Stimul
January 2025
State Key Laboratory of Advanced Medical Materials and Devices, Tianjin Key Laboratory of Neuromodulation and Neurorepair, Institute of Biomedical Engineering, Tianjin Institutes of Health Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China; Neuroscience Center, Chinese Academy of Medical Sciences, Beijing, 102206, China. Electronic address:
Psychiatr Pol
October 2024
Uniwersytet Medyczny w Poznaniu.
In 2024, we observe the fortieth anniversary of the publication, where, for the first time, the term of Seasonal Affective Disorder (SAD) was used. Presently, SAD is regarded as a special category of mood disorder. In the American Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V), the seasonality makes a specifier, "with seasonal pattern", both for recurrent depression or Major Depressive Disorder (MDD), and for Bipolar Disorder (BD).
View Article and Find Full Text PDFRes Child Adolesc Psychopathol
January 2025
School of Education and Counseling Psychology, Santa Clara University, Santa Clara, CA, USA.
Preschool-onset major depressive disorder (PO-MDD) is an impairing pediatric mental health disorder that impacts children as young as three years old. There is limited work dedicated to uncovering neural measures of this early childhood disorder which could be leveraged to further understand both treatment responsiveness and future depression risk. Event-related potentials (ERPs) such as the P300 have been employed extensively in adult populations to examine depression-related deficits in cognitive and motivational systems.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University of Zagreb Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia.
Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diagnosis and treatment rates remain low due to its diverse and often overlapping clinical manifestations. In this context, electroencephalography (EEG) has gained attention as a potential objective tool for diagnosing depression. This study aimed to evaluate the effectiveness of EEG in identifying MDD by analyzing 140 EEG recordings from patients diagnosed with depression and healthy volunteers.
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