Elevated Levels of Circulating lncRNAs LIPCAR and MALAT1 Predict an Unfavorable Outcome in Acute Coronary Syndrome Patients

Figures

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  Figure 1. Levels of ncRNAs in the plasma of SA and UA patients with NG or HG and STEMI patients with or without MACE: LIPCAR (a), MALAT1 (b), miR-155-5p (c), miR-142-3p (d). Data are illustrated as boxplots with Tukey whiskers and median line. * p < 0.05; ** p < 0.01; *** p < 0.001.

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  Figure 2. Levels of ncRNAs in the plasma of hyperglycemic (HG) SA and UA patients compared to normoglycemic (NG) patients: LIPCAR (a), MALAT1 (b), miR-155-5p (c), miR-142-3p (d). Data are illustrated as boxplots with Tukey whiskers and median line. * p < 0.05; ** p < 0.01; *** p < 0.001.

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  Figure 3. Correlation plots for stable (SA) (a) and unstable angina (UA) (b) patients. Bivariate Spearman’s nonparametric correlations between plasma lncRNA (LIPCAR, MALAT1) and miRNA (miR-142-3p, miR-155-5p) levels with age, biochemical parameters, enzymatic activity, and inflammatory stress-related parameters. Data were illustrated as correlation plot graphs using R-studio software (version 2022.12.0+353).

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  Figure 4. Scatter plots and linear regression curves. The associations between plasma levels of glucose and ncRNAs: LIPCAR (a), MALAT1 (b), miR-155-5p (c), and miR-142-3p (d) in stable (SA, blue dots and lines) and unstable angina (UA, red dots and lines) patients.

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  Figure 5. Correlation plot for ST-segment elevation myocardial infarction (STEMI) patients. Bivariate Spearman’s nonparametric correlations between serum lncRNA (LIPCAR, MALAT1) and miRNA (miR-142-3p, miR-155-5p) levels with age, biochemical parameters, enzymatic activity, and inflammatory stress-related parameter. Data were illustrated as a correlation plot graph using R-studio software (version 2022.12.0+353).

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  Figure 6. Receiver operator characteristic (ROC) curves. The discriminating potential of univariate and multivariate models for diagnosis of acute coronary syndrome—unstable angina (UA) versus stable angina (SA)—in patients using plasma levels of lncRNA LIPCAR, lncRNA MALAT1, miR-155-5p, or miR-142-3p (a,b), and multivariate models (c) using plasma levels of two lncRNAs or two lncRNAs plus miR-155-5p or miR-142-3p.

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  Figure 7. Receiver operator characteristic (ROC) curves. Univariate analysis for the discriminating potential of vulnerable coronary artery disease (CAD)—unstable angina (UA) versus stable angina (SA)—using plasma levels of LIPCAR (a), MALAT1 (b), miR-142-3p (c), and miR-155-5p (d) in hyperglycemic (HG) and normoglycemic (NG) CAD patients.

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  Figure 8. Receiver operator characteristic (ROC) curve. The predictive potential of univariate (a) and multivariate (b) models for major adverse cardiovascular events (MACEs) during follow-up in ST-elevation myocardial infarction (STEMI) patients using plasma levels of lncRNA LIPCAR, lncRNA MALAT1, miR-155-5p, or miR-142-3p (a) and combination models (b) using plasma levels of two lncRNAs (model 1) plus miR-155-5p (model 2), miR-142-3p (model 3), or the two miRNAs (model 4).