Stimulated Gene Expression Profiles as a Blood Marker of Major Depressive Disorder

  • Sabine Spijker*
  • , Jeroen S. Van Zanten
  • , Simone De Jong
  • , Brenda Penninx
  • , Richard van Dyck
  • , Frans G. Zitman
  • , Jan H. Smit
  • , Bauke Ylstra
  • , August B. Smit
  • , Witte J. G. Hoogendijk
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    105 Citations (Scopus)

    Abstract

    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 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).

    Results: Based 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%.

    Conclusions: We 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 disorder.

    Original languageEnglish
    Pages (from-to)179-186
    Number of pages8
    JournalBiological Psychiatry
    Volume68
    Issue number2
    DOIs
    Publication statusPublished - 15-Jul-2010

    Keywords

    • Biomarker
    • genomics
    • LPS challenge
    • major depressive disorder
    • microarray
    • real-time quantitative polymerase chain reaction
    • MESSENGER-RNA EXPRESSIONS
    • BIPOLAR DISORDER
    • PERIPHERAL LEUKOCYTES
    • MICROARRAY DATA
    • MATERNAL DEPRESSION
    • STRESS RESPONSES
    • MOOD DISORDERS
    • SCHIZOPHRENIA
    • BEHAVIOR
    • SYSTEM

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