Decreased plasma miR-140-3p is associated with coronary artery disease
Pei Mo,
Chao-Wei Tian,
Qiqi Li,
Mo Teng,
Lei Fang,
Yujuan Xiong,
Benrong Liu
Affiliations
Pei Mo
Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
Chao-Wei Tian
Department of General Practice, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China
Qiqi Li
Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China; Department of General Practice, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, China; Department of Medical Imaging, Second Clinical College, Guangzhou Medical University, Guangzhou, 510260, China; Department of Obstetrics, The Second Affiliated Hospital, Guangzhou Medical University. Guangzhou, 510260, China; Department of Laboratory Medicine, Panyu Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 511400, China
Mo Teng
Department of Obstetrics, The Second Affiliated Hospital, Guangzhou Medical University. Guangzhou, 510260, China
Lei Fang
Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
Yujuan Xiong
Department of Laboratory Medicine, Panyu Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 511400, China; Corresponding author. Department of Laboratory Medicine, Panyu Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine. 93 Qiaodong Road, Guangzhou, 511400, China.
Benrong Liu
Department of Cardiology, Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, State Key Laboratory of Respiratory Disease, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China; Corresponding author. Guangzhou Institute of Cardiovascular Disease, Guangdong Key Laboratory of Vascular Diseases, the Second Affiliated Hospital, Guangzhou Medical University. 250 Changgang Dong Road, Guangzhou, 510260, China.
Background: Although many circulating miRNAs (c-miRNAs) are associated with coronary artery disease (CAD), they are far from being the biomarker for CAD diagnosis or risk prediction. Therefore, novel c-miRNAs discovery and validation are still required, especially evaluating their prediction capacity. Objectives: Identify novel CAD-related c-miRNAs and evaluate its risk prediction capacity for CAD. Methods: miRNAs associated with CAD were preliminarily investigated in three paired samples representing pre-CAD stage and CAD stage of three female individuals using the Applied Biosystems miRNA TaqMan® Low-Density Array (TLDA). Then, the candidate miRNAs were further verified in an independent case-control study including 129 CAD patients and 76 controls, and their potential practical value in prediction for CAD was evaluated using a machine learning (ML) algorithm. The accuracy of classification and prediction was assessed with the area under the receiver operating characteristic curve (AUC). Results: TLDA analysis shows that miR-140-3p decreased significantly in CAD-stage (FC = −3.01, P = 0.007). Further study shows that miR-140-3p was significantly lower in CAD group [1.26 (0.68, 2.01)] than in control group [2.07 (1.19, 3.21)] (P < 0.001) and independently associated with CAD (P < 0.001). The addition of miR-140-3p to the variables including smoking history, HDL-c, and APOA1 improved the accuracy of classification by logistic regression and of prediction for CAD by ML models. The ML models built with miR-140-3p and HDL-c, respectively, had a similar prediction accuracy. The feature importance of miR-140-3p and HDL-c in the ML models was also similar. Decision curve analysis showed that miR-140-3p and HDL-c had almost identical net benefits. Conclusion: Reduced levels of miR-140-3p is linked to CAD, and it is possible to use the plasma level of miR-140-3p as a means of evaluating the risk of CAD.
