| Literature DB >> 31084332 |
Yupei Shen1,2,3, Chen Peng1,4, Qingke Bai5, Ying Ding1,4, Xin Yi2, Huihui Du2, Lin He1,2, Daizhan Zhou3,6, Xu Chen1,2,3.
Abstract
Background and Purpose- Ischemic stroke, a complex and heterogeneous disease, is the second leading cause of death worldwide. Genetic factors and epigenetic modification contribute to the pathogenesis of this disease. However, the effects of epigenetic factors on this disease have not been systematically investigated. Our study was designed to identify methylation alterations in large-artery atherosclerotic stroke. Methods- We conducted an epigenome-wide association analysis of large-artery atherosclerotic stroke using an Infinium HumanMethylation450 array (cases:controls=12:12), and the differentially methylated loci were validated in 2 cohorts (cases:controls, 110:122 and 191:191, respectively) using a Sequenom EpiTYPER assay. Results- In the screening stage, 1012 differentially methylated CpG sites annotated in 672 genes were found to be significantly associated with large-artery atherosclerotic stroke (mean methylation difference >5%, P<0.01). Disease, Gene Ontology, and pathway analysis highlighted the enrichment of these differentially methylated genes in cardiovascular, metabolic, neurological and immune-related functional gene clusters ( P<0.05). We identified a differentially methylated region in the promoter of a humanin gene ( MTRNR2L8, mean methylation difference=-13.01%, P=8.86×10-14). We constructed a diagnostic prediction model that was based on the mean number of significantly changed CpG loci in MTRNR2L8 and showed high diagnostic specificity and sensitivity ( P<0.0001, area under the curve=0.774). Conclusions- Together, these findings demonstrate that DNA methylation plays an important role in large-artery atherosclerotic stroke and that methylation of MTRNR2L8 is a potential therapeutic target and diagnostic biomarker for stroke.Entities:
Keywords: DNA methylation; atherosclerosis; cause of death; gene ontology; humanin
Year: 2019 PMID: 31084332 DOI: 10.1161/STROKEAHA.118.023436
Source DB: PubMed Journal: Stroke ISSN: 0039-2499 Impact factor: 7.914