In order to identify the possible biomarkers of mood disorders, we measured the mRNA levels for a variety of genes in peripheral leukocytes of mood disorder patients in a depressive, as well as in a remissive state, comparing with healthy controls. We selected and measured the levels of genes of interest, which are listed as follows: glucocorticoid receptor, neurotrophic factors, cell adhesion molecules, SR protein splicing factors, transcription factors, epigenetic factors (histone deacetylase, sirtuin, DNA methyltransferase), since these molecules are suggested to be associated with the neural function, synaptic plasticity, and behaviors in animal models, as well as with the pathophysiology and pathogenesis of mood disorders. We found the three different types of biological markers: 1) state markers those revealed alterations of gene expression only in a depressive state of major depressive patients and/or bipolar depressive patients, 2) trait markers those showed altered gene expression both in a depressive and a remissive state of major depressive patients and/or bipolar depressive patients, and 3) markers of the treatment resistance those revealed different alterations of gene expression between treatment resistant and treatment responsive patients in a depressive state. The use of state and trait markers in combination would allow us to put a differential diagnosis between major depressive and bipolar depressive states, as well as between mood disorders and neurotic depressive states. Furthermore, candidate biomarkers of treatment resistance could be used to consider forward of applying the electric convulsive therapy even in an early stage of a depressive state.
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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 PDFBrain Behav Immun
January 2025
Neuropsychiatry Centre, The Royal Melbourne Hospital, Melbourne, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Australia. Electronic address:
Actas Dermosifiliogr
January 2025
Department of Dermatology, Hospital Universitario Miguel Servet IIS Aragón, Zaragoza, Spain.
Background: Psoriasis is a chronic disease with a prevalence of 3% in the general population. The high prevalence of psoriasis has prompted the study of its comorbidities in recent decades. However, no studies have ever analyzed comorbidity patterns including all chronic diseases in psoriatic patients.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Medicine and Surgery, Kore University of Enna, Italy; Oasi Research Institute-IRCCS, Troina, Italy. Electronic address:
Background: Clinical predictors of treatment-resistant depression could improve treatment strategies. Depressive symptom profiles at baseline are potential outcome predictors, but little evidence is available, and sex-specific profiles have been scarcely investigated.
Methods: Baseline symptom scores of 1294 patients with major depressive disorder were assessed by the Montgomery-Åsberg depression rating scale (MADRS) as part of a multicenter study by the "Group for the Studies of Resistant Depression".
West Afr J Med
September 2024
Mental Health Unit, Federal Medical Centre, Jabi, Abuja.
Background: Depression and anxiety disorders frequently co-occur with Type 2 Diabetes Mellitus, leading to poor glycaemic control and quality of life through complex biopsychosocial mechanisms. A dual diagnosis of chronic medical and mental health conditions reduces the probability of early recognition and intervention for either. This study was aimed at assessing the prevalence and correlates of depression and anxiety disorders among persons with Type 2 Diabetes Mellitus in a tertiary hospital in North-West Nigeria.
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