Blood-based transcriptomic analysis of susceptibility to PTSD in deployed military soldiers
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB64548 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR11758102.fastq.gz | Fastqsanger.gz | |||
| ERR11758103.fastq.gz | Fastqsanger.gz | |||
| ERR11758104.fastq.gz | Fastqsanger.gz | |||
| ERR11758105.fastq.gz | Fastqsanger.gz | |||
| ERR11758106.fastq.gz | Fastqsanger.gz |
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Project description:Post-Traumatic Stress Disorder is a mental health condition that may develop after exposure to a traumatic event. The diagnosis of PTSD is based on clinical signs and symptoms; there is increasing evidence that biological markers aid in the diagnosis of PTSD. In a Dutch military cohort, we compared blood-based transcriptomic profiles of individuals susceptible and resilient to developing PTSD symptoms after combat-trauma exposure. Whole blood samples were collected from susceptible (n=20) and resilient (n=20) military personnel deployed to Afghanistan, 6 months after returning from military deployment.
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Project description:Objective: Posttraumatic stress disorder (PTSD) affects a high proportion of returning combat veterans, but the biological mechanisms of PTSD remain unclear. Circulating micro RNAs (miRNAs) have been associated with depression, and anxiety disorders, but there is little understanding of how miRNAs may relate to PTSD. In this study we compare profiles of circulating miRNA in combat veterans with and without PTSD in order to better understand biological mechanisms of PTSD. Methods: Blood from 24 male military service members was collected following deployment to Operation Iraqi Freedom (OIF) or Operation Enduring Freedom (OEF), and subjects were assessed for PTSD symptoms using the PTSD checklist-military version. miRNA was isolated from whole blood and sequenced on the Ion Torrent PGM™ using the Ion 316 Chip v2. Differences in miRNA expression was compared between subjects with PTSD (N=15) and combat matched controls without PTSD (N=9). Significantly different miRNA, according to a FDR≤0.05, were assessed for predictive putative targets, and pathway analysis of related targets was completed. Results: PTSD was associated with 4 upregulated and 4 downregulated miRNA, including a 2.94 fold increase in miR-19a-3p and a 1.56 fold decrease in miR-15b. Pathway analysis show that PTSD is related to the axon guidance and Wnt signaling pathways, which work together along with the adherens junction and MAPK signaling pathways to support neuronal development through regulation of growth cones. The PTSD associated miRNAs related to transcription factors, including Transcription factor 7 (T-cell specific, HMG-box), Transcription factor 7 like 1, and Transcription factor 7 like 2. Conclusions: PTSD is associated with miRNAs that regulate biological functions that include neuronal activities, suggesting that they play a role in PTSD symptomatology.
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Project description:Military service members often return from deployment with a multiplicity of injuries, including mild traumatic brain injury, depression, and sleep disorders, which obsures diagnosis of PTSD symptoms and complicates treatment of PTSD. In order to understand the biological mechanisms underlying PTSD, gene expression profiles of military service members with and without PTSD were compared. Additionally, gene expression was examined based on intrusion symptoms, a distinct subtype of PTSD symptoms, and on improvement of PTSD symptoms at a three month follow up. RNA was extracted from blood samples and hybridized to the HG-U133_Plus_2 Affymetrix chip.
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Project description:Analysis of transcript abundance estimates as a function of child soldier status, PTSD symptoms, and psychological resilience. Gene expression profiling was conducted on dried blood spot (DBS) samples collected from community dwelling adolescents and young adults in Nepal. Approximatley half of the sample were former child soldiers in the Nepal People's War and the other half were demographically similiar civilian non-combatants. In addition to basic demographic characteristics (age, sex, ethnic minority status, social caste status, education level), participants were also assessed on syptoms of post-traumatic stress (PTS, assessed by a culturally adapted version of The Child PTSD Symptom Scale; Kohrt BA, et al. (2011) Validation of cross-cultural child mental health and psychosocial research instruments: adapting the Depression Self-Rating Scale and Child PTSD Symptom Scale in Nepal. BMC Psychiatry 11(1):e127, with higher values indicating greater PTSD symptoms) and psychological resilience (assessed by a culturally adapted version of the Resilience Scale; Wagnild GM & Young HM (1993) Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, with higher values indicating greater resilience). Dichotomous variables were coded 0=no/absent and 1=yes/present. Valid gene expression data are available for 254 samples.
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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
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Project description:Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist.
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Project description:Posttraumatic stress disorder (PTSD) is a prevalent psychiatric disorder. Several studies have attempted to characterize molecular alterations associated with PTSD, but most findings were limited to the investigation of specific cellular markers in the periphery or defined brain regions. In the current study, we aimed to unravel affected molecular pathways/mechanisms in the fear circuitry associated with PTSD. We interrogated a foot shock induced-PTSD mouse model by integrating proteomics and metabolomics profiling data. Alterations at the proteome level were analyzed using in vivo 15N metabolic labeling combined with mass spectrometry in prelimbic cortex (PrL), anterior cingulate cortex (ACC), basolateral amygdala (BLA), central nucleus of amygdala (CeA) and CA1 of hippocampus between shocked and non-shocked (control) mice, with and without fluoxetine treatment.
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2018-10-17 | PXD002271 | Pride