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RESEARCH PRODUCT

Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.

D. HarbichMarianne B. MüllerMarianne B. MüllerBoadie W. DunlopMonika Rex-haffnerMathias V. SchmidtDavid B. HerzogKlaus V. WagnerPeter WeberTania Carrillo-roaHelen S. MaybergManfred UhrChristiana LabermaierInge SillaberCaleb A. LareauSara SantarelliCharles B. NemeroffSebastian H. ScharfW. Edward CraigheadFlorian HolsboerElisabeth B. BinderElisabeth B. Binder

subject

0301 basic medicineMicroarraysPhysiologyGene ExpressionBioinformaticsBiochemistryBiomarkers PharmacologicalTranscriptomeMice0302 clinical medicineGlucocorticoid receptorMedicine and Health SciencesBiology (General)DepressionGeneral NeuroscienceBrainDrugsAntidepressantsPhenotypeAntidepressive Agents3. Good healthBody FluidsParoxetineBioassays and Physiological AnalysisBloodMice Inbred DBAMultigene FamilyMajor depressive disorderAntidepressantDNA microarrayAnatomyGeneral Agricultural and Biological SciencesResearch ArticleQH301-705.5Antidepressant drug therapy ; Blood ; Gene regulation ; Biomarkers ; Depression ; Gene expression ; Microarrays ; AntidepressantsBiologyResearch and Analysis MethodsGeneral Biochemistry Genetics and Molecular BiologyBlood Plasma03 medical and health sciencesReceptors GlucocorticoidMental Health and PsychiatrymedicineGeneticsAnimalsHumansGene RegulationPharmacologyDepressive Disorder MajorGeneral Immunology and MicrobiologyMechanism (biology)Mood DisordersGene Expression ProfilingBiology and Life Sciencesmedicine.diseaseGene expression profiling030104 developmental biologyGene Expression RegulationCorticosterone030217 neurology & neurosurgeryBiomarkers

description

Response to antidepressant treatment in major depressive disorder (MDD) cannot be predicted currently, leading to uncertainty in medication selection, increasing costs, and prolonged suffering for many patients. Despite tremendous efforts in identifying response-associated genes in large genome-wide association studies, the results have been fairly modest, underlining the need to establish conceptually novel strategies. For the identification of transcriptome signatures that can distinguish between treatment responders and nonresponders, we herein submit a novel animal experimental approach focusing on extreme phenotypes. We utilized the large variance in response to antidepressant treatment occurring in DBA/2J mice, enabling sample stratification into subpopulations of good and poor treatment responders to delineate response-associated signature transcript profiles in peripheral blood samples. As a proof of concept, we translated our murine data to the transcriptome data of a clinically relevant human cohort. A cluster of 259 differentially regulated genes was identified when peripheral transcriptome profiles of good and poor treatment responders were compared in the murine model. Differences in expression profiles from baseline to week 12 of the human orthologues selected on the basis of the murine transcript signature allowed prediction of response status with an accuracy of 76% in the patient population. Finally, we show that glucocorticoid receptor (GR)-regulated genes are significantly enriched in this cluster of antidepressant-response genes. Our findings point to the involvement of GR sensitivity as a potential key mechanism shaping response to antidepressant treatment and support the hypothesis that antidepressants could stimulate resilience-promoting molecular mechanisms. Our data highlight the suitability of an appropriate animal experimental approach for the discovery of treatment response-associated pathways across species.

10.1371/journal.pbio.2002690https://pubmed.ncbi.nlm.nih.gov/29283992