Dataset Information

Prediction of major depressive disorder onset in college students.

ABSTRACT:

Background

Major depressive disorder (MDD) in college students is associated with substantial burden.

Aims

To assess 1-year incidence of MDD among incoming freshmen and predictors of MDD-incidence in a representative sample of students.

Method

Prospective cohort study of first-year college students (baseline: n = 2,519, 1-year follow-up: n = 958) RESULTS: The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual-level predictors of onset were prior suicide plans and/or attempts (OR = 9.5). The strongest population-level baseline predictors were history of childhood-adolescent trauma, stressful experience in the past 12 months, parental psychopathology, and other 12-month mental disorder. Multivariate cross-validated prediction (cross-validated AUC = 0.73) suggest that 36.1% of incident MDD cases in a replication sample would occur among the 10% of students at highest predicted risk (24.5% predicted incidence in this highest-risk subgroup).

Conclusions

Screening at college entrance is a promising strategy to identify students at risk of MDD onset, which may improve the development and deployment of targeted preventive interventions.

SUBMITTER: Ebert DD

PROVIDER: S-EPMC6519292 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of major depressive disorder onset in college students.

Ebert David D DD Buntrock Claudia C Mortier Philippe P Auerbach Randy R Weisel Kiona K KK Kessler Ronald C RC Cuijpers Pim P Green Jennifer G JG Kiekens Glenn G Nock Matthew K MK Demyttenaere Koen K Bruffaerts Ronny R

Depression and anxiety 20181206 4

<h4>Background</h4>Major depressive disorder (MDD) in college students is associated with substantial burden.<h4>Aims</h4>To assess 1-year incidence of MDD among incoming freshmen and predictors of MDD-incidence in a representative sample of students.<h4>Method</h4>Prospective cohort study of first-year college students (baseline: n = 2,519, 1-year follow-up: n = 958) RESULTS: The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual-level predictor ...[more]

PMID: 30521136

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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

Prediction of major depressive disorder onset in college students.

Background

Aims

Method

Conclusions

Publications

Prediction of major depressive disorder onset in college students.

Similar Datasets

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