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Dexamethasone Stimulated Gene Expression in Peripheral Blood is a Sensitive Marker
Dexamethasone Stimulated Gene Expression in Peripheral
Blood is a Sensitive Marker for Glucocorticoid Receptor
Resistance in Depressed Patients
Andreas Menke*,1,3, Janine Arloth1,3, Benno Pu?tz1, Peter Weber1, Torsten Klengel1, Divya Mehta1,
Mariya Gonik1, Monika Rex-Haffner1, Jennifer Rubel1, Manfred Uhr1, Susanne Lucae1, Jan M Deussing1,2,
Bertram Mu?ller-Myhsok1, Florian Holsboer1 and Elisabeth B Binder1
1Moleculargenetics of Affective Disorders, Max Planck Institute of Psychiatry, Kraepelinstr, Munich, Germany; 2Helmholtz Zentrum Mu?nchen,
German Research Center for Environmental Health, Institute of Developmental Genetics, Neuherberg, Germany
Although gene expression profiles in peripheral blood in major depression are not likely to identify genes directly involved in the
pathomechanism of affective disorders, they may serve as biomarkers for this disorder. As previous studies using baseline gene expression
profiles have provided mixed results, our approach was to use an in vivo dexamethasone challenge test and to compare glucocorticoid
receptor (GR)-mediated changes in gene expression between depressed patients and healthy controls. Whole genome gene expression
data (baseline and following GR-stimulation with 1.5 mg dexamethasone p.o.) from two independent cohorts were analyzed to identify
gene expression pattern that would predict case and control status using a training (N? 18 cases/18 controls) and a test cohort (N? 11/13).
Dexamethasone led to reproducible regulation of 2670 genes in controls and 1151 transcripts in cases. Several genes, including FKBP5
and DUSP1, previously associated with the pathophysiology of major depression, were found to be reliable markers of GR-activation.
Using random forest analyses for classification, GR-stimulated gene expression outperformed baseline gene expression as a classifier for
case and control status with a correct classification of 79.1 vs 41.6% in the test cohort. GR-stimulated gene expression performed best in
dex
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