Detail information
ID ENOM00062
Accession GSE185855
Status Public on Oct 13, 2021
Title Whole blood transcriptional signatures associated with rapid antidepressant response to ketamine in patients with treatment resistant depression.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary
Ketamine has rapid and sustained antidepressant effects in patients with treatment resistant depression (TRD). However, the underlying mechanisms of action are not well understood. There is increasing evidence that TRD is associated with a pro-inflammatory state and that ketamine may inhibit inflammatory cytokine production. We investigated whole blood transcriptional profiles related to TRD and gene expression changes associated with treatment response to ketamine. Whole blood was collected at baseline (21 healthy controls [HC], 26 patients with TRD) and then again in patients with TRD 24 hours following a single intravenous infusion of ketamine (0.5 mg/kg). We performed RNA-sequencing and compared a) baseline transcriptional profiles between patients with TRD and HC, b) responders vs. non-responders before ketamine treatment, and c) gene expression signatures associated with clinical improvement. At baseline, patients with TRD compared to HC were characterized by a gene expression signature indicative of interferon signaling pathway activation. Prior to ketamine administration, the metabotropic glutamate receptor gene GRM2 and the ionotropic glutamate receptor gene GRIN2D were upregulated in responders compared to non-responders. Ketamine response was associated with the downregulation of multiple genes coding for pro-inflammatory cytokines, the predicted inhibition of several interferon signaling associated upstream regulators and the downregulation of Indoleamine 2,3-Dioxygenase 1 (IDO1). The current study indicates that response to ketamine may be associated with up-regulation of glutamate receptors at baseline, and linked to transcriptional changes indicative of an anti-inflammatory response following ketamine. One specific anti-inflammatory mechanism might be the downregulation of IDO1 via inhibition of the interferon pathway.
Samples
GSM ID Sample info Characteristics Description
GSM5624744 PB106 Sample 1 rin: 9.2 subject_id: PB106 timepoint: Pre response: responder race: 5 bmi: 27.7 age: 44 group: MDD gender 0
GSM5624745 PB023 Sample 2 rin: 8.7 subject_id: PB023 timepoint: Pre response: responder race: 1 bmi: 39.7 age: 53 group: MDD gender 1
GSM5624746 PB134 Sample 3 rin: 5.9 subject_id: PB134 timepoint: Pre response: responder race: 1 bmi: 22.1 age: 59 group: MDD gender 0
GSM5624747 PB134 Sample 4 rin: 7.4 subject_id: PB134 timepoint: Post response: responder race: 1 bmi: 22.1 age: 59 group: MDD gender 0
GSM5624748 PB065 Sample 5 rin: 6.9 subject_id: PB065 timepoint: CON response: control race: 5 bmi: 22.2 age: 30 group: control gender 0
GSM5624749 PB062 Sample 6 rin: 9.2 subject_id: PB062 timepoint: CON response: control race: 5 bmi: 24 age: 27 group: control gender 1
GSM5624750 PB045 Sample 7 rin: 9.1 subject_id: PB045 timepoint: Pre response: nonresponder race: 3 bmi: 23.2 age: 30 group: MDD gender 0
GSM5624751 PB045 Sample 8 rin: 8.8 subject_id: PB045 timepoint: Post response: nonresponder race: 3 bmi: 23.2 age: 30 group: MDD gender 0
GSM5624752 PB176 Sample 9 rin: 7 subject_id: PB176 timepoint: Pre response: nonresponder race: 1 bmi: 17.5 age: 26 group: MDD gender 1
GSM5624753 PB176 Sample 10 rin: 9.1 subject_id: PB176 timepoint: Post response: nonresponder race: 1 bmi: 17.5 age: 26 group: MDD gender 1
GSM5624754 PB174 Sample 11 rin: 7.7 subject_id: PB174 timepoint: Pre response: responder race: 1 bmi: 23.7 age: 49 group: MDD gender 0
GSM5624755 PB174 Sample 12 rin: 8.6 subject_id: PB174 timepoint: Post response: responder race: 1 bmi: 23.7 age: 49 group: MDD gender 0
GSM5624756 PB075 Sample 13 rin: 8.9 subject_id: PB075 timepoint: CON response: control race: 2 bmi: 30 age: 44 group: control gender 0
GSM5624757 PB076 Sample 14 rin: 8.9 subject_id: PB076 timepoint: CON response: control race: 1 bmi: 32.1 age: 65 group: control gender 1
GSM5624758 PB182 Sample 15 rin: 9.1 subject_id: PB182 timepoint: Pre response: responder race: 1 bmi: 30.2 age: 31 group: MDD gender 0
GSM5624759 PB182 Sample 16 rin: 9.3 subject_id: PB182 timepoint: Post response: responder race: 1 bmi: 30.2 age: 31 group: MDD gender 0
GSM5624760 PB059 Sample 17 rin: 8.2 subject_id: PB059 timepoint: Pre response: responder race: 1 bmi: 20.7 age: 29 group: MDD gender 1
GSM5624761 PB059 Sample 18 rin: 6.1 subject_id: PB059 timepoint: Post response: responder race: 1 bmi: 20.7 age: 29 group: MDD gender 1
GSM5624762 PB234 Sample 19 rin: 8.9 subject_id: PB234 timepoint: Pre response: responder race: 1 bmi: 28.5 age: 47 group: MDD gender 1
GSM5624763 PB234 Sample 20 rin: 8.9 subject_id: PB234 timepoint: Post response: responder race: 1 bmi: 28.5 age: 47 group: MDD gender 1
GSM5624764 PB084 Sample 21 rin: 8.9 subject_id: PB084 timepoint: CON response: control race: 2 bmi: 28.2 age: 39 group: control gender 0
GSM5624765 PB191 Sample 22 rin: 8.3 subject_id: PB191 timepoint: CON response: control race: 1 bmi: 22.4 age: 36 group: control gender 1
GSM5624766 PB183 Sample 23 rin: 7.3 subject_id: PB183 timepoint: Pre response: responder race: 1 bmi: 25.8 age: 28 group: MDD gender 0
GSM5624767 PB183 Sample 24 rin: 8.8 subject_id: PB183 timepoint: Post response: responder race: 1 bmi: 25.8 age: 28 group: MDD gender 0
GSM5624768 PB098 Sample 25 rin: 7.9 subject_id: PB098 timepoint: Pre response: responder race: 2 bmi: 42 age: 28 group: MDD gender 1
GSM5624769 PB098 Sample 26 rin: 7.9 subject_id: PB098 timepoint: Post response: responder race: 2 bmi: 42 age: 28 group: MDD gender 1
GSM5624770 PB186 Sample 27 rin: 7.2 subject_id: PB186 timepoint: Pre response: responder race: 1 bmi: 25.3 age: 55 group: MDD gender 0
GSM5624771 PB186 Sample 28 rin: 7.8 subject_id: PB186 timepoint: Post response: responder race: 1 bmi: 25.3 age: 55 group: MDD gender 0
GSM5624772 PB093 Sample 29 rin: 8.5 subject_id: PB093 timepoint: CON response: control race: 1 bmi: 22.8 age: 31 group: control gender 0
GSM5624773 PB080 Sample 30 rin: 7.6 subject_id: PB080 timepoint: CON response: control race: 1 bmi: 21.7 age: 40 group: control gender 1
GSM5624774 PB069 Sample 31 rin: 6.9 subject_id: PB069 timepoint: Post response: - race: 1 bmi: 21.7 age: 40 group: control gender 1
GSM5624775 PB188 Sample 32 rin: 8.3 subject_id: PB188 timepoint: Pre response: nonresponder race: 1 bmi: 26.1 age: 41 group: MDD gender 1
GSM5624776 PB188 Sample 33 rin: 8.7 subject_id: PB188 timepoint: Post response: nonresponder race: 1 bmi: 26.1 age: 41 group: MDD gender 1
GSM5624777 PB179 Sample 34 rin: 8.1 subject_id: PB179 timepoint: Pre response: responder race: 1 bmi: 25.4 age: 51 group: MDD gender 1
GSM5624778 PB179 Sample 35 rin: 8 subject_id: PB179 timepoint: Post response: responder race: 1 bmi: 25.4 age: 51 group: MDD gender 1
GSM5624779 PB082 Sample 36 rin: 8.1 subject_id: PB082 timepoint: CON response: control race: 1 bmi: 21.2 age: 27 group: control gender 1
GSM5624780 PB197 Sample 37 rin: 8.1 subject_id: PB197 timepoint: Pre response: responder race: 1 bmi: 25.4 age: 59 group: MDD gender 0
GSM5624781 PB147 Sample 38 rin: 8.2 subject_id: PB147 timepoint: Pre response: responder race: 5 bmi: 35.8 age: 35 group: MDD gender 1
GSM5624782 PB147 Sample 39 rin: 7.5 subject_id: PB147 timepoint: Post response: responder race: 5 bmi: 35.8 age: 35 group: MDD gender 1
GSM5624783 PB150 Sample 40 rin: 8 subject_id: PB150 timepoint: CON response: control race: 1 bmi: 26.8 age: 52 group: control gender 0
GSM5624784 PB153 Sample 41 rin: 8.8 subject_id: PB153 timepoint: CON response: control race: 3 bmi: 26.9 age: 37 group: control gender 0
GSM5624785 PB085 Sample 42 rin: 8.3 subject_id: PB085 timepoint: CON response: control race: 1 bmi: 28.2 age: 30 group: control gender 1
GSM5624786 PB087 Sample 43 rin: 8.4 subject_id: PB087 timepoint: CON response: control race: 1 bmi: 20.5 age: 25 group: control gender 1
GSM5624787 PB100 Sample 44 rin: 8.4 subject_id: PB087 timepoint: CON response: control race: 1 bmi: 20.5 age: 25 group: control gender 1
GSM5624788 PB100 Sample 45 rin: 8.1 subject_id: PB100 timepoint: Post response: nonresponder race: 3 bmi: 25 age: 28 group: MDD gender 0
GSM5624789 PB198 Sample 46 rin: 7.5 subject_id: PB198 timepoint: Pre response: nonresponder race: 1 bmi: 28.1 age: 38 group: MDD gender 1
GSM5624790 PB198 Sample 47 rin: 7.1 subject_id: PB198 timepoint: Post response: nonresponder race: 1 bmi: 28.1 age: 38 group: MDD gender 1
GSM5624791 PB205 Sample 48 rin: 6.2 subject_id: PB205 timepoint: Pre response: responder race: 1 bmi: 22.6 age: 30 group: MDD gender 0
GSM5624792 PB205 Sample 49 rin: 5.9 subject_id: PB205 timepoint: Post response: responder race: 1 bmi: 22.6 age: 30 group: MDD gender 0
GSM5624793 PB154 Sample 50 rin: 8.4 subject_id: PB154 timepoint: CON response: control race: 3 bmi: 22.8 age: 36 group: control gender 0
GSM5624794 PB144 Sample 51 rin: 8.3 subject_id: PB144 timepoint: Pre response: nonresponder race: 1 bmi: 30.4 age: 39 group: MDD gender 0
GSM5624795 PB144 Sample 52 rin: 8.2 subject_id: PB144 timepoint: Post response: nonresponder race: 1 bmi: 30.4 age: 39 group: MDD gender 0
GSM5624796 PB215 Sample 53 rin: 8.2 subject_id: PB144 timepoint: Post response: nonresponder race: 1 bmi: 30.4 age: 39 group: MDD gender 0
GSM5624797 PB215 Sample 54 rin: 7.4 subject_id: PB215 timepoint: Post response: nonresponder race: 1 bmi: 21.8 age: 57 group: MDD gender 1
GSM5624798 PB207 Sample 55 rin: 8.9 subject_id: PB207 timepoint: Pre response: responder race: 1 bmi: 22.3 age: 54 group: MDD gender 1
GSM5624799 PB158 Sample 56 rin: 8.3 subject_id: PB158 timepoint: CON response: control race: 2 bmi: 28.2 age: 48 group: control gender 0
GSM5624800 PB092 Sample 57 rin: 8.4 subject_id: PB092 timepoint: CON response: control race: 1 bmi: 25.5 age: 31 group: control gender 1
GSM5624801 PB237 Sample 58 rin: 8.3 subject_id: PB237 timepoint: Pre response: nonresponder race: 1 bmi: 28.5 age: 25 group: MDD gender 1
GSM5624802 PB237 Sample 59 rin: 6.5 subject_id: PB237 timepoint: Post response: nonresponder race: 1 bmi: 28.5 age: 25 group: MDD gender 1
GSM5624803 PB219 Sample 60 rin: 8.9 subject_id: PB219 timepoint: Pre response: responder race: 1 bmi: 26.9 age: 44 group: MDD gender 1
GSM5624804 PB169 Sample 61 rin: 9.2 subject_id: PB169 timepoint: CON response: control race: 2 bmi: 38.4 age: 51 group: control gender 0
GSM5624805 PB122 Sample 62 rin: 8.5 subject_id: PB122 timepoint: CON response: control race: 3 bmi: 20 age: 32 group: control gender 1
GSM5624806 PB173 Sample 63 rin: 8 subject_id: PB173 timepoint: CON response: control race: 2 bmi: 25.1 age: 45 group: control gender 1
GSM5624807 PB212 Sample 64 rin: 8.2 subject_id: PB212 timepoint: Pre response: responder race: 1 bmi: 25.5 age: 64 group: MDD gender 0
GSM5624808 PB212 Sample 65 rin: 8.7 subject_id: PB212 timepoint: Post response: responder race: 1 bmi: 25.5 age: 64 group: MDD gender 0
GSM5624809 PB230 Sample 66 rin: 5.8 subject_id: PB230 timepoint: Pre response: responder race: 1 bmi: 23.1 age: 33 group: MDD gender 1
GSM5624810 PB230 Sample 67 rin: 8.2 subject_id: PB230 timepoint: Post response: responder race: 1 bmi: 23.1 age: 33 group: MDD gender 1
GSM5624811 PB172 Sample 68 rin: 8.7 subject_id: PB172 timepoint: CON response: control race: 2 bmi: 24.4 age: 44 group: control gender 0
GSM5624812 PB195 Sample 69 rin: 8.7 subject_id: PB172 timepoint: CON response: control race: 2 bmi: 24.4 age: 44 group: control gender 0
Platform GPL16791: Illumina HiSeq 2500 (Homo sapiens)
Indicator
IRF7, IF16, IF135, SOCS1, RSAD2, OAS1, OAS2, OASL, HLA-A, HLA-B, BST2, ISG15
Download Download data in GEO database