Is low cognitive functioning a predictor or consequence of major depressive disorder? A test in two longitudinal birth cohorts.
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ABSTRACT:
SUBMITTER: Schaefer JD
PROVIDER: S-EPMC5842891 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:OBJECTIVES:Compared with the general population, patients with major depressive disorder (MDD) report substantial deficits in their functioning that often go beyond the clinical resolution of depressive symptoms. This study examines the impact of MDD and its treatment on functioning. METHODS:From the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial, we analyzed complete data of 2280 adult outpatients with MDD at entry and exit points of each level of antidepressant treatment and again 12 months post treatment. Functioning was measured using the Work and Social Adjustment Scale (WSAS). RESULTS:The results show that only 7% of patients with MDD reported within-normal functioning before treatment. The proportion of patients achieving within-normal functioning (WSAS) scores significantly increased after treatment. However, the majority of patients (>60%) were still in the abnormal range on functioning at exit. Although remitted patients had greater improvements compared with nonremitters, a moderate proportion of remitted patients continued to experience ongoing deficits in functioning after treatment (20-40%). Follow-up data show that the proportions of patients experiencing normal scores for functioning after 12 months significantly decreased from the end of treatment to the follow-up phase, from 60.1% to 49% (p < 0.0001), a finding that was particularly significant in nonremitters. Limitations of this study include the reliance on self-report of functioning and the lack of information on patients who dropped out. CONCLUSION:This study points to the importance of functional outcomes of MDD treatment as well as the need to develop personalized interventions to improve functioning in MDD.
| S-EPMC4907070 | biostudies-literature
Project description:To examine sexual functioning in adolescents with depression.Between September 2010 and March 2014, 235 participants who were between 15 and 20 years old and were unmedicated or within 1 month of beginning antidepressant treatment completed the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Changes in Sexual Functioning Questionnaire (CSFQ). They were also assessed to establish the presence of a DSM-IV-TR major depressive episode (MDE). The Student t test and ?² test were used to compare continuous and categorical variables, respectively, across participants with versus without MDE. Multivariable linear regression analysis examined the association between depression and sexual functioning.After the investigators controlled for age, female sex, antidepressant use, and the presence of generalized anxiety disorder, the presence of MDE was associated with a lower score on the CSFQ overall (P < .0007) and on its desire (P < .09), arousal (P < .001), and orgasm (P < .007) subscales. Antidepressants were not associated with sexual functioning either in the sample overall or in those with MDE. Beck Depression Inventory items related to affective symptoms (P < .03), rather than those tapping into neurovegetative or cognitive functioning, accounted for the association between depression and lower sexual functioning. Furthermore, with higher BDI scores, males exhibited a steeper decline than females in both the CSFQ total score and the desire subscale (sex × BDI score interaction effect: P < .03). Anxiety was not significantly associated with sexual functioning.Major depressive disorder in older adolescents is associated with lower sexual functioning, particularly in males. This appears most related to affective symptoms. The potential impact of such impairment on future sexual functioning deserves further examination.ClinicalTrials.gov identifier: NCT02147184.
| S-EPMC5520806 | biostudies-literature
Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD. In total, 33 MDD patients and 34 healthy controls were analyzed using basal gene expression in whole blood, and gene expression from whole blood that was stimulated with LPS for 5-6 h, using microarrays. Patients were arbitrarily selected from all patients to serve as primary cohort (nMDD = 21 (MDD01-MDD21); nControls = 21 (Con01-Con21)), or replication cohort (nMDD = 12 (MDD22-MDD35); nControls = 13 (Con22-Con37)) using microarrays. This submission does not include Samples CON21_LPS or CON30_LPS.
2011-10-04 | E-GEOD-19738 | biostudies-arrayexpress
Project description:BACKGROUND.:Cognitive impairment associated with lifetime major depressive disorder (MDD) is well-supported by meta-analytic studies, but population-based estimates remain scarce. Previous UK Biobank studies have only shown limited evidence of cognitive differences related to probable MDD. Using updated cognitive and clinical assessments in UK Biobank, this study investigated population-level differences in cognitive functioning associated with lifetime MDD. METHODS.:Associations between lifetime MDD and cognition (performance on six tasks and general cognitive functioning [g-factor]) were investigated in UK Biobank (N-range 7,457-14,836, age 45-81 years, 52% female), adjusting for demographics, education, and lifestyle. Lifetime MDD classifications were based on the Composite International Diagnostic Interview. Within the lifetime MDD group, we additionally investigated relationships between cognition and (a) recurrence, (b) current symptoms, (c) severity of psychosocial impairment (while symptomatic), and (d) concurrent psychotropic medication use. RESULTS.:Lifetime MDD was robustly associated with a lower g-factor (? = -0.10, PFDR = 4.7 × 10-5), with impairments in attention, processing speed, and executive functioning (? ? 0.06). Clinical characteristics revealed differential profiles of cognitive impairment among case individuals; those who reported severe psychosocial impairment and use of psychotropic medication performed worse on cognitive tests. Severe psychosocial impairment and reasoning showed the strongest association (? = -0.18, PFDR = 7.5 × 10-5). CONCLUSIONS.:Findings describe small but robust associations between lifetime MDD and lower cognitive performance within a population-based sample. Overall effects were of modest effect size, suggesting limited clinical relevance. However, deficits within specific cognitive domains were more pronounced in relation to clinical characteristics, particularly severe psychosocial impairment.
| S-EPMC7315876 | biostudies-literature
Project description:Background: Major Depressive Disorder (MDD) is a moderately heritable disorder with a high lifetime prevalence. At present, laboratory blood tests to support MDD diagnosis are not available. Methods: We used a classifier approach on blood gene expression profiles of a unique set of non-medicated subjects (MDD patients and controls) to select genes of which expression is predictive for disease status. To reveal blood gene expression changes related to MDD disease, we applied a powerful ex vivo stimulus to the blood, i.e. incubation with lipopolysaccharide (LPS; 10 ng/ml blood). Results: Based on LPS-stimulated blood gene expression using whole-genome microarrays in 42 subjects (primary cohort; 21 MDD patients (mean age 42.3 years), 21 healthy controls (mean age 41.9 years)), we identified a set of genes (CAPRIN1, CLEC4A, KRT23, MLC1, PLSCR1, PROK2, ZBTB16) that serves as a molecular signature of MDD. These findings were validated for the primary cohort using an independent quantitative PCR method (P = 0.007). The difference between depressive patients and controls was confirmed (P = 0.019) in a replication cohort of 13 patients with MDD (mean age 42.8 years) and 14 controls (mean age 45.6 years). The MDD-signature score comprised of expression levels of 7 genes could discriminate depressive patients from controls with sensitivity of 76.9% and specificity of 71.8%. Conclusions: We show for the first time that molecular analysis of stimulated blood cells can be used as an endophenotype for MDD diagnosis, which is a milestone in establishing biomarkers for neuropsychiatric disorders with moderate heritability in general. Our results may provide a new entry point for following and predicting treatment outcome, as well as prediction of severity and recurrence of MDD.
2011-10-05 | GSE19738 | GEO
Project description:Experience sampling methodology (ESM) was used in a randomized controlled trial of short-term therapy to examine changes in daily affect and reactivity to daily event appraisals among depressed patients. Fifty-five depressed adults (mean age 37 years, 80% female) were randomly assigned to one of two therapy conditions. Using an interactive voice response system, participants rated activities and emotional functioning eight times per day for seven days. Thirty-one participants completed treatment and repeated ESM post-treatment. Broad improvements in mood, cognition, and physical functioning were similar across treatment conditions, with the largest improvements for markers of positive affect. Participants demonstrated increased resilience, i.e., diminished reactivity to stressors at post-treatment. Changes in reactivity to positive daily situations were minimal. Findings underscore the utility of ESM in psychotherapy research and the importance of including measures of both positive and negative affect and experiences.
| S-EPMC5451128 | biostudies-literature
Project description:Major depressive disorder (MDD) exhibits numerous clinical, epidemiological, and molecular features that are consistent with partially inherited and partially acquired epigenetic misregulation. We performed microarray based DNA modification study of MDD, utilizing affected and unaffected samples from white blood cells from monozygotic twins discordant for MDD, post-mortem prefrontal cortex tissues, and sperm samples. We performed DNA methylome analysis on white blood cells from monozygotic twins discordant for depression (n=200), pre-frontal cortex (n=71), and germline samples (n=33) from affected individuals and controls (total n=304). DNA samples were enriched for unmodified fraction of the genome using DNA-modification sensitive restriction enzyme digestion followed by adaptor-mediated PCR. The enriched fractions were labelled with a fluorescent dye (Cy5) and hybridized onto the array with a common reference pool (Cy3) generated from individuals unrelated to this study.
2012-04-27 | E-GEOD-37579 | biostudies-arrayexpress
Project description:Evaluating brain function through biosignals remains challenging. Quantitative electroencephalography (qEEG) outcomes have emerged as a potential intermediate biomarker for diagnostic clarification in psychological disorders. The Test of Variables of Attention (TOVA) was combined with qEEG to evaluate biomarkers such as absolute power, relative power, cordance, and approximate entropy from covariance matrix images to predict major depressive disorder (MDD). EEG data from 18 healthy control and 18 MDD patients were monitored during the resting state and TOVA. TOVA was found to provide aspects for the evaluation of MDD beyond resting electroencephalography. The results showed that the prefrontal qEEG theta cordance of the control and MDD groups were significantly different. For comparison, the changes in qEEG approximate entropy (ApEn) patterns observed during TOVA provided features to distinguish between participants with or without MDD. Moreover, ApEn scores during TOVA were a strong predictor of MDD, and the ApEn scores correlated with the Beck Depression Inventory (BDI) scores. Between-group differences in ApEn were more significant for the testing state than for the resting state. Our results provide further understanding for MDD treatment selection and response prediction during TOVA.
| S-EPMC7695214 | biostudies-literature
Project description:Objective: To examine the association between sexual functioning, depression and anxiety severity, and selective serotonin reuptake inhibitor (SSRI) use in adolescents.Methods: From September 2010 to December 2014, 15- to 20-year-old participants, either unmedicated or within a month of beginning SSRI treatment, completed the Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), and Changes in Sexual Functioning Questionnaire (CSFQ) at baseline and every 4 months for up to 2 years. The DSM-IV-TR was used to determine presence of psychiatric disorders. Data regarding use of medications and hormonal contraception were collected. Polymorphisms of the HTR2A and ABCB1 genes were genotyped. Linear mixed-effects regression models examined the association between depression and anxiety symptom severity, SSRI use, and sexual functioning, accounting for relevant covariates.Results: A total of 263 participants (59% female, mean ± SD age = 18.9 ± 1.6 years, 70% with major depressive disorder) contributed to this analysis. After adjusting for age, sex, and duration in the study, depression severity, but not anxiety severity, was associated with lower CSFQ total scores (β = -0.13, P < .0001) and lower arousal, orgasm, and pleasure subscale scores (all β = -0.03, P < .003). Higher SSRI doses were associated with lower orgasm subscale scores (β = -0.30, P < .03). Hormonal contraceptive use was associated with higher CSFQ total scores (β = 0.97, P < .003) and higher arousal (β = 0.25, P < .009), desire (β = 0.24, P < .001), orgasm (β = 0.27, P < .02), and pleasure (β = 0.15, P < .004) subscale scores. No significant genetic moderating effect was found.Conclusions: In adolescents, depression is associated with lower sexual functioning while SSRI use impairs orgasm.
| S-EPMC10552909 | biostudies-literature
Project description:Major depressive disorder (MDD) is associated with premature mortality and is an independent risk factor for a broad range of diseases, especially those associated with aging, such as cardiovascular disease, diabetes, and Alzheimer's disease. However, the pathophysiology underlying increased rates of somatic disease in MDD remains unknown. It has been proposed that MDD represents a state of accelerated cellular aging, and several measures of cellular aging have been developed in recent years. Among such metrics, estimators of biological age based on predictable age-related patterns of DNA methylation (DNAm), so-called 'epigenetic clocks', have shown particular promise for their ability to capture accelerated aging in psychiatric disease. The recently developed DNAm metric known as 'GrimAge' is unique in that it was trained on time-to-death data and has outperformed its predecessors in predicting both morbidity and mortality. Yet, GrimAge has not been investigated in MDD. Here we measured GrimAge in 49 somatically healthy unmedicated individuals with MDD and 60 age-matched healthy controls. We found that individuals with MDD exhibited significantly greater GrimAge relative to their chronological age ('AgeAccelGrim') compared to healthy controls (p = 0.001), with a median of 2 years of excess cellular aging. This difference remained significant after controlling for sex, current smoking status, and body-mass index (p = 0.015). These findings are consistent with prior suggestions of accelerated cellular aging in MDD, but are the first to demonstrate this with an epigenetic metric predictive of premature mortality.
| S-EPMC8021561 | biostudies-literature