scholarly journals Genetic biomarkers for differential diagnosis of major depressive disorder and bipolar disorder: A systematic and critical review

2019 ◽  
Vol 357-358 ◽  
pp. 29-38 ◽  
Author(s):  
Itiana Castro Menezes ◽  
Cristiane von Werne Baes ◽  
Riccardo Lacchini ◽  
Mario Francisco Juruena
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Differential Diagnosis ◽  
Depressive Disorder ◽  
Critical Review ◽  
Major Depressive ◽  
Genetic Biomarkers

Clinical features and diagnosis

2012 ◽  
Author(s):  
Raymond W. Lam
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Differential Diagnosis ◽  
Depressive Disorder ◽  
Clinical Features ◽  
Cognitive Symptoms ◽  
Major Depressive ◽  
Low Mood ◽  
Different Types ◽  
Variable Presentation

• Depression is associated with a number of physical, emotional, and cognitive symptoms.• Sub-typing of major depressive disorder has implications for treatment choice and selection.• The differential diagnosis of depression includes bereavement, bipolar disorder, and other medical or substance-induced conditions.Depression is associated with many different types of symptoms which can result to a variable presentation in any given person. The features of depression can be physical (sleep, energy, appetite, libido), emotional (low mood, anxiety, crying) or cognitive (guilt, pessimism, suicidal thoughts). ...

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

Predictors of conversion of major depressive disorder to bipolar disorder

2021 ◽  
pp. 113939
Author(s):  
Satish Suhas ◽  
Abha Thakurdesai ◽  
Amal Jolly Joseph ◽  
Chittaranjan Andrade
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Major Depressive
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