Using NGS-methylation profiling to understand the molecular pathogenesis of young MI patients who have subsequent cardiac events. Issue 6 (3rd June 2019)

• Record Type: Journal Article
• Authors: Thunders, Michelle; Holley, Ana; Harding, Scott; Stockwell, Peter; Larsen, Peter
• Is Part Of: Epigenetics. Volume 14:Issue 6(2019)
• Page Start: 536
• Page End: 544
• Publication Date: 2019-06-03
• Subjects: Methylation -- next-generation sequencing -- RRBS -- cardiac -- myocardial infarction -- young -- biomarkers; Epigenesis -- Periodicals; Epigenetica; 572.86505
• DOI: 10.1080/15592294.2019.1605815
• Languages: English
• ISSNs: 1559-2294

Abstract

ABSTRACT: Globally, ischaemic heart disease is a major contributor to premature morbidity and mortality. A significant number of young Myocardial Infarction (MI) patients (aged <55 y) have subsequent cardiac events within a year of their index event. This study used Next Generation Sequencing (NGS) methylation to understand the pathogenesis in this subset of young MI patients, comparing them to a cohort of patients without recurrent events. Cases and controls were matched for age, gender, ethnicity, and comorbidities. Differential methylation analyses were performed on Reduced Representation Bisulphite Sequencing (RRBS) data. Across the group and within case–control pairs' variation were analysed. Pairwise comparisons across each matched case–control pair resulted in a list of genes that were consistently significantly differentially methylated between all 16 matched pairs. This gene list was input into pathway analysis databases. Of particular relevance to cardiac pathology the following pathways were identified as over-represented in the patients with recurrent events; cell adhesion, transcription regulation and cardiac electrical conduction, specifically relating to calcium channel activity. This study looked at methylation differences between two populations of young MI patients. There were significantly different methylation profiles between the two groups studied; key pathways were identified as specifically affected in the patients with recurrent cardiac events. Matched pairwise comparisons and detailed interpretations of DNA methylation data may help to elucidate complex pathogeneses within and between clinical subtypes. Further analysis will determine whether these epigenomic differences can be useful as predictive biomarkers of clinical progression.