Long chain noncoding RNA can predict recurrence risk in patients after cardiovascular procedures

Introduction: Cardiovascular procedures such as coronary stent and shunt become lifesaving choice in patients with high risk of Myocardial Infarction. Post surgery early and longterm complications are major factors for unsuccessful outcomes. Early prediction of those complications let to implication of preventive measures. We aimed to investigate the predictable role of the long chain noncoding RNA in patients who underwent to cardiovascular procedures by analysis of data from the literature. Material and methods. We are used searching domains as PubMed, Medscape, Scopus for gathering information about long chain noncoding RNA. Results. Our search showed long chain noncoding RNAs play a pivotal role in the pathogenesis of diabetes, ischemic heart disease, and myocardial infarction. Understanding their molecular mechanisms opens up new opportunities for developing diagnostic biomarkers and therapeutic strategies. The study highlights the diagnostic value of lncRNAs in these diseases and suggests their potential as targets for future treatments in clinical practice. The findings indicate that certain lncRNAs, such as MALAT1, HOTAIR, and MEG3, are significantly associated with the pathogenesis of diabetes, ischemic heart disease, and myocardial infarction. Long chain noncoding RNAs regulate key metabolic pathways, inflammatory responses, and apoptotic processes, contributing to disease progression. Notably, the levels of lncRNAs like MALAT1 and MEG3 serve as potential biomarkers for early diagnosis and monitoring of these diseases, especially in patients after cardiovascular procedures such as stent and shunt. Conclusion. We proposed the role of long chain noncoding RNAs in early prediction of complications and recurrency in patients after cardiovascular procedures such as stent and shunt, which may give some opportunity in early diagnosis and prevention. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.