Epigenome-wide association study of cocaine use disorder in postmortem human brain tissue
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ABSTRACT:
PROVIDER: EGAD00010002396 | EGA |
REPOSITORIES: EGA
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Project description:This dataset includes samples in the UTHealth Brain Collection (UTHBC) from Grimm et al 2022 "MicroRNA-mRNA networks are dysregulated in opioid use disorder postmortem brain: further evidence for opioid-induced neurovascular alterations ", doi: 10.3389/fpsyt.2022.1025346. To understand mechanisms and identify potential targets for intervention in the current crisis of opioid use disorder (OUD), postmortem brains represent an under-utilized resource. To refine previously reported gene signatures of neurobiological alterations in OUD from the dorsolateral prefrontal cortex (Brodmann Area 9, BA9), we explored the role of microRNAs (miRNA) as powerful epigenetic regulators of gene function. Building on the growing appreciation that miRNAs can cross the blood-brain barrier, we carried out miRNA profiling in same-subject postmortem samples from BA9 and blood tissues. miRNA-mRNA network analysis showed that even though miRNAs identified in BA9 and blood were fairly distinct, their target genes and corresponding enriched pathways overlapped strongly. Among the dominant enriched biological processes were tissue development and morphogenesis, and MAPK signaling pathways. These findings point to robust, redundant, and systemic opioid-induced miRNA dysregulation with potential functional impact on transcriptomic changes. Further, using correlation network analysis we identified cell-type specific miRNA targets, specifically in astrocytes, neurons, and endothelial cells, associated with OUD transcriptomic dysregulation. Finally, leveraging a collection of control brain transcriptomes from the Genotype-Tissue Expression (GTEx) project, we identified correlation of OUD miRNA targets with TGF beta, hypoxia, angiogenesis, coagulation, immune system and inflammatory pathways. These findings support previous reports of neurovascular and immune system alterations as a consequence of opioid abuse and shed new light on miRNA network regulators of cellular response to opioid drugs.
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Project description:Cigarette smoking remains the leading cause of preventable death worldwide. Cigarette smoking behaviors (e.g., initiation, nicotine dependence, cessation) are heritable, and many genetic risk loci have been identified. However, the neurobiological mechanisms underlying the genetic risk loci along the trajectory of smoking are largely unknown. DNA methylation (DNAm) differences between smokers and nonsmokers can provide insight into mechanisms that predispose to smoking behaviors and consequences of the smoking exposure itself. Differential DNAm by smoking has been found at many CpG sites in blood, but because of the tissue specificity of gene regulation, differential DNAm that can only be detected in brain may have been missed. Here, we provide Illumina HumanMethylationEPIC array data generated in nucleus accumbens, an addiction-relevant brain tissue, from 221 deceased individuals: 53 current cigarette smokers, 168 nonsmokers. From these data, we have conducted an epigenome-wide association study (EWAS) and identified several CpG associations with smoking. A subset of the identified CpGs map to genes that were previously indicated as blood-based smoking DNAm biomarkers, but the other CpGs map to genes that were previously undetected in blood and may reflect brain-specific processes related to smoking.
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Project description:Background: It is well-established that cancer treatment substantially increases risk of long-term adverse health outcomes among childhood cancer survivors. However, there is limited research on the underlying mechanisms. To elucidate the pathophysiology and a possible causal pathway from treatment exposures to cardiometabolic conditions, we conducted epigenome-wide association studies (EWAS) to identify DNA methylation (DNAm) sites associated with cancer treatment exposures and examined whether treatment-associated DNAm sites mediate associations between specific treatments and cardiometabolic conditions. Methods: We included 2,052 survivors (median age 33.7 years) of European ancestry from the St. Jude Lifetime Cohort Study, a retrospective hospital-based study with prospective clinical follow-up. Cumulative doses of chemotherapy and region-specific radiation were abstracted from medical records. Seven cardiometabolic conditions were clinically assessed. DNAm profile was measured using MethylationEPIC BeadChip with blood-derived DNA. Results: By performing multiple treatment-specific EWAS, we identified 935 5’-cytosine-phosphate-guanine-3′ (CpG) sites mapped to 538 genes/regions associated with one or more cancer treatments at epigenome-wide significance level (P<9×10-8). Among the treatment-associated CpGs, 8 were associated with obesity, 63 with hypercholesterolemia, and 17 with hypertriglyceridemia (False-Discovery-Rate-Adjusted P<0.05). We observed substantial mediation by methylation at four independent CpGs (cg06963130, cg21922478, cg22976567, cg07403981) for association between abdominal field radiotherapy (abdominal-RT) and risk of hypercholesterolemia (70.3%) and by methylation at three CpGs (cg19634849, cg13552692, cg09853238) for association between abdominal-RT and hypertriglyceridemia (54.6%). In addition, three CpGs (cg26572901, cg12715065, cg21163477) partially mediated the association between brain-RT and obesity with 32.9% mediation effect and two CpGs mediated the association between corticosteroids and obesity (cg22351187, 14.2%) and between brain-RT and hypertriglyceridemia (cg13360224, 10.5%). Notably, several mediator CpGs reside in the proximity of well-established dyslipidemia genes: cg21922478 (ITGA1) and cg22976567 (LMNA). Conclusions: In childhood cancer survivors, cancer treatment exposures are associated with DNAm patterns present decades following the exposure. Treatment-associated DNAm sites may mediate the causal pathway from specific treatment exposures to certain cardiometabolic conditions, suggesting the utility of DNAm sites as risk predictors and potential mechanistic targets for future intervention studies.
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