Epigenome-wide study of brain DNA methylation following acute opioid intoxication

2021 ◽  
Vol 221 ◽  
pp. 108658
Author(s):  
Chang Shu ◽  
David W. Sosnowski ◽  
Ran Tao ◽  
Amy Deep-Soboslay ◽  
Joel E. Kleinman ◽  
...  
2020 ◽  
Author(s):  
Chang Shu ◽  
David W. Sosnowski ◽  
Ran Tao ◽  
Amy Deep-Soboslay ◽  
Joel E. Kleinman ◽  
...  

AbstractOpioid abuse poses significant risk to individuals in the United States and epigenetic changes are a leading potential biomarker of abuse. Current evidence, however, is mostly limited to candidate gene analysis in whole blood. To clarify the association between opioid abuse and DNA methylation, we conducted an epigenome-wide analysis (EWAS) of DNA methylation in brains of individuals who died from opioid intoxication and controls. Tissue samples were extracted from the dorsolateral prefrontal cortex of 160 deceased individuals (Mage = 35.15, SD = 9.42 years; 62% male; 78% White). The samples included 73 individuals who died of opioid intoxication, 59 group-matched psychiatric controls, and 28 group-matched normal controls. EWAS was implemented using the Illumina Infinium MethylationEPIC BeadChip; analyses adjusted for sociodemographic characteristics, negative control and ancestry principal components, cellular composition, and surrogate variables. Epigenetic age was calculated using the Horvath and Levine clocks, and gene ontology (GO) analyses were performed. No CpG sites were epigenome-wide significant after multiple testing correction, but 13 sites reached nominal significance (p < 1.0 x 10-5). There was a significant association between opioid use and Levine phenotypic age (b = 2.24, se = 1.11, p = .045). Opioid users were approximately two years phenotypically older compared to controls. GO analyses revealed enriched pathways related to cell function and neuron differentiation, but no terms survived multiple testing correction. Results inform our understanding of the neurobiology of opioid use, and future research with larger samples across stages of opioid use will elucidate the complex genomics of opioid abuse.


2019 ◽  
Vol 63 (6) ◽  
pp. 757-771 ◽  
Author(s):  
Claire Francastel ◽  
Frédérique Magdinier

Abstract Despite the tremendous progress made in recent years in assembling the human genome, tandemly repeated DNA elements remain poorly characterized. These sequences account for the vast majority of methylated sites in the human genome and their methylated state is necessary for this repetitive DNA to function properly and to maintain genome integrity. Furthermore, recent advances highlight the emerging role of these sequences in regulating the functions of the human genome and its variability during evolution, among individuals, or in disease susceptibility. In addition, a number of inherited rare diseases are directly linked to the alteration of some of these repetitive DNA sequences, either through changes in the organization or size of the tandem repeat arrays or through mutations in genes encoding chromatin modifiers involved in the epigenetic regulation of these elements. Although largely overlooked so far in the functional annotation of the human genome, satellite elements play key roles in its architectural and topological organization. This includes functions as boundary elements delimitating functional domains or assembly of repressive nuclear compartments, with local or distal impact on gene expression. Thus, the consideration of satellite repeats organization and their associated epigenetic landmarks, including DNA methylation (DNAme), will become unavoidable in the near future to fully decipher human phenotypes and associated diseases.


2020 ◽  
Vol 158 (3) ◽  
pp. S50-S51
Author(s):  
Suresh Venkateswaran ◽  
Varun Kilaru ◽  
Hari Somineni ◽  
Jason Matthews ◽  
Jeffrey Hyams ◽  
...  

2019 ◽  
Author(s):  
Christine Dinh ◽  
Juan Young ◽  
Olena Bracho ◽  
Rahul Mittal ◽  
Denise Yan ◽  
...  

2007 ◽  
Vol 40 (05) ◽  
Author(s):  
MAN Muschler ◽  
T Hillemacher ◽  
H Frieling ◽  
S Moskau ◽  
A Semmler ◽  
...  

Author(s):  
Inoue A ◽  
Jiang L ◽  
Lu F ◽  
Suzuki T ◽  
Zhang Y
Keyword(s):  

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