Identification of DNA Methylation Predicts Onset of PTSD and Depression Following Trauma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE178128 | GEO | 2021/09/21
REPOSITORIES: GEO
Similar Datasets
Project description:Identification of DNA Methylation Predicts Onset of PTSD and Depression Following Trauma
| PRJNA737429 | ENA
Project description:Objective: The purpose of this study was to observe changes in DNA methylation in service members who experienced PTSD. Methods: We compared DNA Methylation profiles in the blood of those with or without PTSD and also compared those with PTSD at both baseline and follow-up with those service members that only developed PTSD at follow-up (3-months after baseline). Blood was collected and analyzed at baseline and follow up. Results: In participants with PTSD, 10 genes were significantly hyper-methylated and 18 were significantly hypo-methylated. In the second analysis, participants that had PTSD at both time points did not present any differentially methylated gene regions. Interestingly, for individuals’ whose PTSD scores increased from baseline to follow-up, there were 8 hypo-methylated genes detected at the baseline.
2018-06-14 | GSE93673 | GEO
Project description:We aimed to examine genome-wide differential expression profiles of miRNA in PTSD&Dep cases versus controls
2015-12-01 | GSE74162 | GEO
Project description:This is a genome-wide differential gene expression survey of cases of comorbid PTSD and depression versus controls
2015-12-01 | GSE67663 | GEO
Project description:Search for the biomarkers of major depressive disorder (MDD) has facilitated from the genes expressed in the patientâs blood cells. Because the severity of depressive symptoms and characteristics in patients with MDD are differed by the age at onset of first depressive episode, the potential transcriptomic markers in blood cells may also be different by the age at onset of MDD. In this study, we searched the transcriptomic markers of late-onset (onset ages ⥠50 years) MDD (LOD) from the expressed genes in blood cells, and identified state-dependent biomarkers in the patients. We assessed the expressed genes in blood cells by the microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD. Elderly (age â¥50 years) outpatients and inpatients with MDD corresponding to a DSM-IV diagnosis of the melancholy type of MDD episodes were studied. The depressive state was measured using the Structured Interview Guide for the Hamilton Depression (SIGH-D) rating scale. Syndromal remission was defined as a stage in which a participant did not meet the diagnosis of a MINI major depressive episode for a period of 2 consecutive months and had a SIGH-D score of less than 8. Twelve healthy individuals were also recruited. Blood was obtained from the participants and analyzed using an Agilent SurePrint G3 Human GE 8Ã60K v2 Microarray (Design ID: 039494).
2016-01-14 | E-GEOD-76826 | biostudies-arrayexpress
Project description:PTSD - Posttraumatic stress disorder. 33 samples taken from PMBCs of survivors of psychological trauma, in two time points: in ER, few hours after the truma, and four months later. Some of the patients devepled chronic PTSD (17 samples) and others recovered and set to be the Control group (16 samples). This is the normalized active genes: 4512 probes from U95A chip. The raw data is available in series GSE845. Samples are labeled with 3 tags: P/C for PTSD or Control, ER/M4 - for time point of sample, D/ND for Decrement or Non-decrement symptoms over time. (e.g. sample 23C-M4-D-Norm was taken 4 months after trauma from patient 23 which belongs to the control group and showed decrease in symptoms) . Samples include the expression value, the GeneBank accession number and Affymetrix indication of valid calls. Keywords = PTSD Keywords = Normalized Keywords = PMBC Keywords: other
2004-11-20 | GSE860 | GEO
Project description:Here we identified a set of genes with frequent expression changes in the postmortem brain of MDD subjectsand show that this gene set is genetically related to brain and organ illnesses frequently associated with MDD. Specifically, we performed a meta-analysis of eight gene array studies in three corticolimbic brain regions and identified ~450 genes frequentlyderegulated in MDD (n=103 subjects, 50.5%MDD). These âMetaA-MDDâ genes includepreviously-implicated neuroplasticity- and stress-related genes (CRH, BDNF, VGF), encompass multiple synaptic and signaling pathways, and suggests complex changes in cell structure and function. MetaA-MDD genes display low connectivity andhubnessin coexpression networks andare evenly distributed throughout the genome. However, MetaA-MDD genesare significantly over-represented in gene sets identified by the genome-wide association studies for brain disorders and organ diseases sharing clinical co-morbidity with MDD (e.g., cardiovascular, metabolic syndrome), but not for other diseases or body functions. Together, this study describes a robustmolecular characterization of altered brain function in MDD, and provides evidence for a shared genetic structure linking MDD andrelated illnesses, together biologically defining abroader dimensional definition ofa depressive-like syndrome. 14 pairs of human postmotem AMY samples of MDD patients and control
2016-07-03 | E-GEOD-44593 | biostudies-arrayexpress
Project description:PTSD - Posttraumatic stress disorder. 33 samples taken from PMBCs of survivors of psychological trauma, in two time points: in ER, few hours after the truma, and four months later. Some of the patients devepled chronic PTSD (17 samples) and others recovered and set to be the Control group (16 samples). This is the raw data consists of 12,600 probes from U95A chip. Samples are labeled with 3 tags: P/C for PTSD or Control, ER/M4 - for time point of sample, D/ND for Decrement or Non-decrement symptoms over time. (e.g. sample 23C-M4-D was taken 4 months after trauma from patient 23 which belongs to the control group and showed decrease in symptoms) . Samples include the expression value, the GeneBank accession number and Affymetrix indication of valid calls. Keywords: other
2004-11-20 | GSE845 | GEO
Project description:Search for the biomarkers of major depressive disorder (MDD) has facilitated from the genes expressed in the patient’s blood cells. Because the severity of depressive symptoms and characteristics in patients with MDD are differed by the age at onset of first depressive episode, the potential transcriptomic markers in blood cells may also be different by the age at onset of MDD. In this study, we searched the transcriptomic markers of late-onset (onset ages ≥ 50 years) MDD (LOD) from the expressed genes in blood cells, and identified state-dependent biomarkers in the patients. We assessed the expressed genes in blood cells by the microarray and found that the expression levels of 3,066 probes were state-dependently changed in the blood cells of patients with LOD.
2016-01-14 | GSE76826 | 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