Dataset Information

A network perspective on body dysmorphic disorder and major depressive disorder.

ABSTRACT:

Background

Body dysmorphic disorder (BDD) is a highly debilitating mental disorder associated with notable psychosocial impairment and high rates of suicidality. This study investigated BDD from a network perspective, which conceptualizes mental disorders as systems of symptoms that cause and exacerbate one another (e.g., preoccupation with perceived appearance defect triggering compulsive checking in the mirror).

Methods

In a sample of BDD patients (N?=?148), we used cross-sectional network models to explore the network structure of 1) BDD symptoms and 2) BDD symptoms and major depressive disorder (MDD) symptoms, and tested which symptoms were most central (i.e., most strongly associated to other symptoms).

Results

Interference in functioning due to appearance-related compulsions (BDD), feelings of worthlessness (MDD), and loss of pleasure (MDD) were most central.

Conclusion

These symptoms were most strongly predictive of other BDD and MDD symptoms and may be features of BDD that warrant prioritization in theory development and treatment. A limitation of our study is that the precision of these findings may be limited due to a small sample size relative to the number of parameters. Replication studies in larger samples of BDD patients are needed.

SUBMITTER: Summers BJ

PROVIDER: S-EPMC6924632 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Publications

A network perspective on body dysmorphic disorder and major depressive disorder.

Summers Berta J BJ Aalbers George G Jones Payton J PJ McNally Richard J RJ Phillips Katharine A KA Wilhelm Sabine S

Journal of affective disorders 20191105

<h4>Background</h4>Body dysmorphic disorder (BDD) is a highly debilitating mental disorder associated with notable psychosocial impairment and high rates of suicidality. This study investigated BDD from a network perspective, which conceptualizes mental disorders as systems of symptoms that cause and exacerbate one another (e.g., preoccupation with perceived appearance defect triggering compulsive checking in the mirror).<h4>Methods</h4>In a sample of BDD patients (N = 148), we used cross-sectio ...[more]

PMID: 31733461

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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.

Dataset Information

A network perspective on body dysmorphic disorder and major depressive disorder.

Background

Methods

Results

Conclusion

Publications

A network perspective on body dysmorphic disorder and major depressive disorder.

Similar Datasets

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