Analysis of long non-coding RNA RMRP in the diagnosis and prognosis of coronary artery disease

作者：Haiyan Xiao, Jun Pu, Gaxue Jiang, Chenliang Pan, Jizhe Xu, Bo Zhang, Ming Bai · 发表于：Journal of Cardiothoracic Surgery · 年份：2024 · DOI：10.1186/s13019-024-02870-0 · 被引用次数：4 · 研究领域：Cancer-related molecular mechanisms research、RNA modifications and cancer、Cardiac Valve Diseases and Treatments

BACKGROUND: Long non-coding RNAs (lncRNAs) are abundant and closely related to the occurrence and development of human diseases. LncRNAs are known to play a key role in many cardiovascular diseases. The purpose of this study was to investigate the effect of the RNA component of mitochondrial RNA-processing endoribonuclease (RMRP) on the degree of coronary artery lesions and prognosis in patients with coronary artery disease (CAD). METHODS: Patients who underwent coronary angiography (CAG) and dynamical-single photon emission computed tomography (D-SPECT) were selected as study subjects, and the results of CAG were reviewed, and the patients were grouped according to SYNTAX score. Evaluate the factors affecting SYNTAX scores. The follow-up analysis was conducted, and the endpoint events were major adverse cardiovascular events (MACEs). Kaplan-Meier method was used to estimate the survival rate, and multivariate Cox regression was used to analyze the relationship between RMRP and MACEs. RESULTS: The expression level of serum RMRP in patients with CAD was significantly higher than that in healthy people. Multivariate Logistic regression analysis showed that age, low-density lipoprotein cholesterol (LDL-C), RMRP and rest left ventricular ejection fraction (LVEF) were independent factors that affected SYNTAX scores. There were 19 cases of MACEs in the high RMRP group and 9 cases in the low RMRP group, and there was a significant difference in the MACE free survival curve between t...