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). 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.
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http://dx.doi.org/10.1161/STROKEAHA.118.023436 | DOI Listing |
Health Inf Sci Syst
December 2025
Department of Nephrology and Rheumatology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200000 China.
Background: Atherosclerotic cardiovascular disease (ASCVD) is a major threat to human life and health, and dyslipidemia with elevated low-density lipoprotein cholesterol (LDL-C) is an important risk factor, and in the optimal LDL-C scenario, apolipoprotein B (ApoB) has a more predictive value of ASCVD risk.
Methods: The study is a genome-wide association study (GWAS) based on a European population. A large GWAS dataset for atherosclerotic cardiovascular diseases was targeted, including coronary heart disease (CHD), ischemic stroke (IS), large-artery atherosclerotic stroke (ISL), small-vessel stroke (ISS), and myocardial infarction (MI).
Ischemic stroke is a significant global health problem associated with mortality and disability. Intracranial atherosclerotic stenosis (ICAS) is a leading cause of stroke and contributes to recurrent stroke, especially in Asian population. Because of the different pathophysiology and mechanisms of ICAS resulting in ischemic stroke compared to extracranial atherosclerotic stenosis (ECAS), treatment strategies for secondary prevention would be different.
View Article and Find Full Text PDFFront Immunol
December 2024
Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background And Objective: Neutrophil extracellular traps (NETs) with inflammatory risk are important contributors to cardiovascular disease, but no definitive information is available in large artery atherosclerotic (LAA) stroke. This study aims to investigate the association between NETs with related inflammatory biomarkers and prognosis of LAA stroke in the Chinese population.
Methods: A prospective study involving 145 LAA stroke cases and 121 healthy controls was conducted.
J Neurol
December 2024
Vascular Imaging Lab, Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
Purpose: Embolic stroke of unidentified source (ESUS) represents 10-25% of all ischemic strokes. Our goal was to determine whether ESUS could be reclassified to cardioembolic (CE) or large-artery atherosclerosis (LAA) with machine learning (ML) using conventional clinical data.
Methods: We retrospectively collected conventional clinical features, including patient, imaging (MRI, CT/CTA), cardiac, and serum data from established cases of CE and LAA stroke, and factors with p < 0.
J Neurol Sci
December 2024
Department of Neurology, Medical University of South Carolina, Charleston, USA. Electronic address:
Introduction: Atrial fibrillation (AF) and large artery atherosclerotic diseases are major causes of ischemic stroke and their coexistence increases the risk of stroke and mortality. Research on antithrombotic strategies for AF patients with symptomatic large artery atherosclerosis is limited. This study aims to report a single center's experience regarding the antithrombotic regimens prescribed for this population and the association with stroke recurrence and hemorrhagic events.
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