MicroRNAs as diagnostic biomarkers for major depression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE81152 | GEO | 2016/08/31
SECONDARY ACCESSION(S): PRJNA320744
REPOSITORIES: GEO
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Project description:This study aimed to elucidate the transcriptional differences in peripheral blood mononuclear cells (PBMC) between individuals with treatment-resistant depression (TRD) and a control group without a psychiatric illness; and between patients with TRD, treated with either standard antidepressant drugs alone, or in combination with electroconvulsive therapy (ECT) or ketamine. Additionally, PBMC transcriptomics were compared between treatment responders, following completion of their treatment protocols. PBMC transcriptomics were compared between treatment responders, following completion of their treatment protocols.
2024-06-30 | GSE234669 | GEO
Project description:Major depressive disorder (MDD) is the leading cause of disability worldwide. There is an urgent need for objective biomarkers to diagnose this highly heterogeneous syndrome, assign treatment, and evaluate treatment response and prognosis. MicroRNAs (miRNAs) are short non-coding RNAs, which are detected in body fluids that have emerged as potential biomarkers of many disease conditions. The present study explored the potential use of miRNAs as biomarkers for MDD and its treatment. We profiled the expression levels of circulating blood miRNAs from mice that were collected before and after exposure to chronic social defeat stress (CSDS), an extensively validated mouse model used to study depression, as well as after either repeated imipramine or single-dose ketamine treatment. We observed robust differences in blood miRNA signatures between stress-resilient and stress-susceptible mice after an incubation period, but not immediately after exposure to the stress. Furthermore, ketamine treatment was more effective than imipramine at re-establishing baseline miRNA expression levels, but only in mice that responded behaviorally to the drug. We identified the red blood cell-specific miR-144-3p as a candidate biomarker to aid depression diagnosis and predict ketamine treatment response in stress-susceptible mice and MDD patients. Lastly, we demonstrate that systemic knockdown of miR-144-3p, via subcutaneous administration of a specific antagomir, is sufficient to reduce the depression-related phenotype in stress-susceptible mice. RNA-sequencing analysis of blood after such miR-144-3p knockdown revealed a blunted transcriptional stress signature as well. These findings identify miR-144-3p as a novel target for diagnosis of MDD as well as for antidepressant treatment, and enhance our understanding of epigenetic processes associated with depression.
2022-07-25 | GSE209673 | GEO
Project description:Transcriptional profiling in the whole blood samples of healthy controls and major depression disorder (MDD) patients who have never been treated with depression medication. Samples included 20 healthy controls and 20 MDD patients who have never been treated with depression medication. Goal was to discover the differentially expressed genes.
2022-07-18 | GSE201332 | GEO
Project description: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.
2021-10-13 | GSE185855 | GEO
Project description:Background: Major Depressive Disorder (MDD) represents a major social and economic health issue and constitutes a major risk factor for MDD suicide. The molecular pathology of suicidal depression remains poorly understood, although it has been hypothesized that regulatory genomic processes are involved in the pathology of both MDD and suicidality. Methods: Genome-wide patterns of DNA methylation were assessed in depressed MDD suicide completers (n=20) and compared to non-psychiatric, sudden-death controls (n=20) using tissue from two cortical brain regions (Brodmann Area 11 (BA11) and Brodmann Area 25 (BA25)). Analyses focussed on identifying differentially methylated regions (DMRs) associated with suicidal depression, and epigenetic variation was explored in the context of polygenic risk scores for major depression and MDD suicide. Weighted gene co-methylation network analysis was used to identify modules of co-methylated loci associated with depressed MDD suicide completers and polygenic burden for MDD and MDD suicide attempt. Results: We identified a DMR upstream of the PSORS1C3 gene, subsequently validated using bisulfite-pyrosequencing and replicated in a second set of MDD suicide samples, which is characterized by significant hypomethylation in both cortical brain regions in MDD MDD suicide cases. We also identified discrete modules of co-methylated loci associated with polygenic risk burden for MDD suicide attempt, but not major depression. MDD suicide-associated co-methylation modules were enriched among gene networks implicating biological processes relevant to depression and suicidality, including nervous system development and mitochondria function. Conclusions: Our data suggest there are coordinated changes in DNA methylation associated with MDD suicide that may offer novel insights into the molecular pathology associated with depressed MDD suicide completers.
2016-11-01 | GSE88890 | GEO
Project description:Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and healthy controls. We used microarrays to detail the global programme of gene expression to develop blood-based gene expression profiles models for classification of subsyndromal symptomatic depression and major depressive disorder
2012-03-21 | GSE32280 | GEO
Project description:Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and healthy controls. We used microarrays to detail the global programme of gene expression to develop blood-based gene expression profiles models for classification of subsyndromal symptomatic depression and major depressive disorder The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and matched controls (8 subjects in each group). Support vector machines (SVMs) were utilized for training and testing on candidate signature expression profiles from signature selection step.
2012-03-21 | E-GEOD-32280 | biostudies-arrayexpress
Project description:Blood transcriptional response to treatment-resistant depression during electroconvulsive therapy
| PRJNA982735 | ENA
Project description:While exposure to adverse life events and subsequent dysregulation of the stress hormone response broadly confer risk for depression, the specific molecular mechanisms mediating this risk are poorly understood. Through pharmacologic activation of the stress hormone response in blood cells we demonstrate that common genetic variants in long-range enhancer elements moderate the immediate transcriptome response to stress, and that these genetic differences are associated with increased risk for depression in the context of early adversity. Using imaging genetics we then link these common risk variants with dysregulated amygdala reactivity, an important trigger of the stress hormone response. The transcripts regulated by these risk variants in peripheral blood were also responsive to stress and stress hormone receptor activation in murine brain. Network modeling approaches suggest that these differences in transcriptional activation may mediate stress-related risk for depression by altering a functional gene network related to proteasome degradation and synaptic plasticity. A Dexamethasone Suppression Test was performed in 160 male subjects. Baseline and stimulated (3 hours after 1.5 mg dexamethasone p.o.) whole blood samples were analyzed using Illumina Human HT-12 v3 arrays.
2013-09-01 | E-GEOD-46743 | biostudies-arrayexpress
Project description:Brain gene expression profiling studies of suicide and depression using oligonucleotide microarrays have often failed to distinguish these two phenotypes. Moreover, next generation sequencing approaches are more accurate in quantifying gene expression and can detect alternative splicing. Using RNA-seq, we examined whole-exome gene and exon expression in non-psychiatric controls (CON, N=29), DSM-IV major depressive disorder suicides (MDD-S, N=21) and MDD non-suicides (MDD, N=9) in the dorsal lateral prefrontal cortex (Brodmann Area 9) of sudden death medication-free individuals post mortem. Using small RNA-seq, we also examined miRNA expression (nine samples per group). DeSeq2 identified 35 genes differentially expressed between groups and surviving adjustment for false discovery rate (adjusted P<0.1). In depression, altered genes include humanin-like-8 (MTRNRL8), interleukin-8 (IL8), and serpin peptidase inhibitor, clade H (SERPINH1) and chemokine ligand 4 (CCL4), while exploratory gene ontology (GO) analyses revealed lower expression of immune-related pathways such as chemokine receptor activity, chemotaxis and cytokine biosynthesis, and angiogenesis and vascular development in (adjusted P<0.1). Hypothesis-driven GO analysis suggests lower expression of genes involved in oligodendrocyte differentiation, regulation of glutamatergic neurotransmission, and oxytocin receptor expression in both suicide and depression, and provisional evidence for altered DNA-dependent ATPase expression in suicide only. DEXSEq analysis identified differential exon usage in ATPase, class II, type 9B (adjusted P<0.1) in depression. Differences in miRNA expression or structural gene variants were not detected. Results lend further support for models in which deficits in microglial, endothelial (blood-brain barrier), ATPase activity and astrocytic cell functions contribute to MDD and suicide, and identify putative pathways and mechanisms for further study in these disorder
2017-07-18 | GSE101521 | GEO