MK4MDD

Study Report

Reference
CitationSpijker, 2010 PubMed
Full InfoSpijker, S., Van Zanten, J.S., De Jong, S., Penninx, B.W., van Dyck, R., Zitman, F.G., Smit, J.H., Ylstra, B., Smit, A.B. and Hoogendijk, W.J. (2010) Stimulated gene expression profiles as a blood marker of major depressive disorder. Biol Psychiatry, 68, 179-186.

Study
Hypothesis or 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.
Sample Informationunmedicated subjects (MDD patients and control subjects)
Method DetailWe used a classifier approach on blood gene expression profiles of a unique set of unmedicated subjects (MDD patients and control subjects) to select genes with expression predictive for disease status. To reveal blood gene expression changes related to major depressive disorder-disease, we applied a powerful ex vivo stimulus to the blood: incubation with lipopolysaccharide (LPS; 10 ng/mL blood).
Method Keywordsmicroarray
ResultBased on LPS-stimulated blood gene expression using whole-genome microarrays (primary cohort; 21 MDD patients, 21 healthy control subjects), 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 using an independent quantitative polymerase chain reaction method (primary cohort, p = .007). The difference between depressive patients and control subjects was confirmed (p = .019) in a replication cohort of 13 MDD patients and 14 control subjects. The MDD signature score comprised expression levels of seven genes could discriminate depressive patients from control subjects with sensitivity of 76.9% and specificity of 71.8%.
ConclusionsWe have shown 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 major depressive disorde

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