Background The study aimed to investigate the long noncoding RNA nuclear‐enriched abundant transcript 1 (lnc‐NEAT1) and microRNA‐125a (miR‐125a) expressions, and further explore the role of lnc‐NEAT1/miR‐125a axis in predicting major adverse cardiac and cerebrovascular event (MACCE) risk in patients with unprotected left main coronary artery disease (ULMCAD) underwent coronary artery bypass grafting (CABG). Methods A total of 280 patients with ULMCAD underwent CABG were consecutively enrolled in our prospective study, and their plasma samples were collected before CABG for the detection of lnc‐NEAT1 and miR‐125a expressions by reverse transcription quantitative polymerase chain reaction. Lnc‐NEAT1/miR‐125a axis was calculated via dividing lnc‐NEAT1 by miR‐125a. After CABG, regular follow‐up was continued until MACCE occurrence or 36 months. Results Lnc‐NEAT1 expression, miR‐125a expression, and lnc‐NEAT1/miR‐125a axis were 0.998 (IQR: 0.440‐1.720, range: 0.116‐5.771), 0.997 (IQR: 0.461‐1.650, range: 0.055‐3.621), and 1.018 (IQR: 0.384‐2.782, range: 0.041‐52.832), respectively. And lnc‐NEAT1 was negatively associated with miR‐125a. The 1‐, 2‐, and 3‐year MACCE occurrence was 19 (6.8%), 29 (10.4%), and 38 (13.6%), respectively. Lnc‐NEAT1/miR‐125a axis ( χ 2 = 11.207, P = .001) and lnc‐NEAT1 expression ( χ 2 = 5.345, P = .021) positively associated with accumulating MACCE occurrence, while miR‐125a expression ( χ 2 = 5.869, P = .015) negatively correlated with accumulating MACCE occurrence. Notably, lnc‐NEAT1/miR‐125a axis presented numerically better predictive value compared with lnc‐NEAT1 or miR‐125a alone for MACCE risk. Furthermore, lnc‐NEAT1/miR‐125a axis high, elderly age, increased BMI, diabetes, previous stroke, LVEF, and higher disease extent (all P < .05) were independent predictive factors for increased accumulating MACCE occurrence. Conclusion Lnc‐NEAT1/miR‐125a axis, as a combined index, presents potential value to be a prognostic biomarker for MACCE risk in ULMCAD management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.