scholarly journals Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

2019 ◽  
Author(s):  
Laura K M Han ◽  
Richard Dinga ◽  
Tim Hahn ◽  
Christopher R K Ching ◽  
Lisa T Eyler ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Working Group ◽  
Brain Aging ◽  
Chronological Age ◽  
Model Parameters ◽  
Age Difference ◽  
Intracranial Volume ◽  
Major Depressive ◽  
Increased Risk

AbstractBackgroundMajor depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in MDD patients, and whether this process is associated with clinical characteristics in a large multi-center international dataset.MethodsWe performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 29 samples worldwide. Normative brain aging was estimated by predicting chronological age (10-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 1,147 male and 1,386 female controls from the ENIGMA MDD working group. The learned model parameters were applied to 1,089 male controls and 1,167 depressed males, and 1,326 female controls and 2,044 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted “brain age” and chronological age was calculated to indicate brain predicted age difference (brain-PAD).FindingsOn average, MDD patients showed a higher brain-PAD of +0.90 (SE 0.21) years (Cohen’s d=0.12, 95% CI 0.06-0.17) compared to controls. Relative to controls, first-episode and currently depressed patients showed higher brain-PAD (+1.2 [0.3] years), and the largest effect was observed in those with late-onset depression (+1.7 [0.7] years). In addition, higher brain-PAD was associated with higher self-reported depressive symptomatology (b=0.05, p=0.004).InterpretationThis highly powered collaborative effort showed subtle patterns of abnormal structural brain aging in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the predictive value of these brain-PAD estimates.FundingThis work was supported, in part, by NIH grants U54 EB020403 and R01 MH116147.

scholarly journals Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

2020 ◽  
Author(s):  
Laura K. M. Han ◽  
Richard Dinga ◽  
Tim Hahn ◽  
Christopher R. K. Ching ◽  
Lisa T. Eyler ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Working Group ◽  
Brain Aging ◽  
Major Depressive

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.

scholarly journals White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

2019 ◽  
Vol 25 (7) ◽  
pp. 1511-1525 ◽  
Author(s):  
Laura S. van Velzen ◽  
Sinead Kelly ◽  
Dmitry Isaev ◽  
Andre Aleman ◽  
Lyubomir I. Aftanas ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Working Group ◽  
Major Depressive

scholarly journals Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group

2015 ◽  
Vol 21 (6) ◽  
pp. 806-812 ◽  
Author(s):  
L Schmaal ◽  
◽  
D J Veltman ◽  
T G M van Erp ◽  
P G Sämann ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Working Group ◽  
Major Depressive ◽  
Subcortical Brain

scholarly journals Reduced immunity to measles in adults with major depressive disorder

2018 ◽  
Vol 49 (2) ◽  
pp. 243-249 ◽  
Author(s):  
Bart N. Ford ◽  
Robert H. Yolken ◽  
Faith B. Dickerson ◽  
T. Kent Teague ◽  
Michael R. Irwin ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Age Of Onset ◽  
Solid Phase ◽  
Childhood Vaccination ◽  
Adult Onset ◽  
Major Depressive ◽  
Increased Risk ◽  
The Usa ◽  
Childhood Vaccines

AbstractBackgroundDepression can impair the immunogenicity of vaccine administration in adults. Whereas many vaccinations are administered in childhood, it is not known whether adolescent or adult onset depression is associated with impairments in the maintenance of protection of childhood vaccines. This study tested the hypothesis that individuals with adolescent or adult onset mood disorders would display compromised immunity to measles, a target of childhood vaccination.MethodsIgG antibodies to measles were quantified using a solid phase immunoassay in volunteers with bipolar disorder (BD, n = 64, mean age of onset = 16.6 ± 5.6), currently depressed individuals with major depressive disorder (cMDD, n = 85, mean age of onset = 17.9 ± 7.0), remitted individuals with a history of MDD (rMDD, n = 82, mean age of onset = 19.2 ± 8.6), and non-depressed comparison controls (HC, n = 202), all born after the introduction of the measles vaccine in the USA in 1963.ResultsRelative to HC, both the cMDD group (p = 0.021, adjusted odds ratios (OR) = 0.47, confidence interval (CI) = 0.24–0.90), and the rMDD group (p = 0.038, adjusted OR = 0.50, CI = 0.26–0.97) were less likely to test seropositive for measles. Compared with unmedicated MDD participants, currently medicated MDD participants had a longer lifetime duration of illness and were less likely to test seropositive for measles.ConclusionsIndividuals with adolescent or adult onset MDD are less likely to test seropositive for measles. Because lower IgG titers are associated with increased risk of measles infection, MDD may increase the risk and severity of infection possibly because of impaired maintenance of vaccine-related protection from measles.

Early life family disadvantages and major depression in adulthood

1999 ◽  
Vol 174 (2) ◽  
pp. 112-120 ◽  
Author(s):  
Hartwin S. Sadowski ◽  
Blanca Ugarte ◽  
Israel Kolvin ◽  
Carole E. Kaplan ◽  
Jacqueline Barnes
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Early Life ◽  
Major Depressive ◽  
Adult Depression ◽  
Increased Risk ◽  
Quality Of Parenting

BackgroundThere is evidence that exposure to social and family disadvantages in childhood are a risk factor for adult depression.AimsTo explore the effects of multiple adversity in early childhood on adult depression, and the relative effects of the different adversities.MethodThis study utilises data from the Newcastle Thousand Family Study. Information on childhood disadvantages was collected when the participants were 5 years old, and information on mental health was gathered when they were 33 years old. Mental health data were scrutinised blind to the evidence of early disadvantage, and best-estimate diagnoses of major depressive disorder were made according to DSM–III–R criteria.ResultsMultiple family disadvantages in childhood substantially increase the risk of suffering a major depressive disorder in adulthood. Such disadvantages include family or marital relationship instability, a combination of poor mothering and poor physical care, and a combination of dependence on social welfare and overcrowding. For females major depression was linked in particular to the quality of parenting in early life.ConclusionsSocial and family (especially multiple family) disadvantages during childhood predispose individuals to an increased risk of major depression in adulthood.

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

2020 ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldasarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Depressive Disorders ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk ◽  
Chi Squared

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 researcher. We explored whether genetic variation could identify individuals with different metabolic profiles. Loci previously associated with schizophrenia, bipolar disorder and major depressive disorder were identified from literature and those overlapping loci genotyped on the Illumina CardioMetabo and Immuno chips (representing cardiometabolic processes and diseases) were selected. In the IMPROVE study (high cardiovascular risk) and UK Biobank (general population) multidimensional scaling was applied to genetic variants implicated in both mental and cardiometabolic illness. Visual inspection of the resulting plots used to identify distinct clusters. Differences between clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both cardiometabolic disease and schizophrenia (but not bipolar or major depressive disorders) identified three groups of individuals with distinct metabolic profiles. The grouping was replicated in UK Biobank, albeit with less distinction between metabolic profiles. This study provides proof of concept that common biology underlying mental and physical illness can identify subsets of individuals with different cardiometabolic profiles.

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