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Potential Role of Lipometabolism-Related MicroRNAs in Peripheral Blood Mononuclear Cells as Biomarkers for Coronary Artery Disease

View Article: PubMed Central - PubMed

ABSTRACT

Aim:: To explore the relationship between lipometabolism-related microRNAs (miRNAs) in peripheral blood mononuclear cells (PBMCs) and the presence of coronary artery disease (CAD).

Methods:: In the present study, 161 stable CAD patients and 149 health controls were enrolled. The expression levels of seven miRNAs (miR-21, miR-24, miR-29a, miR-33a, miR-34a, miR-103a, and miR-122) in PBMCs were qualified by quantitative real-time polymerase chain reaction (qRT-PCR). The miRNA markers that showed significant difference between the two groups were used for further analysis. The risk of miRNA contributing to the presence of CAD was estimated by univariate and multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy.

Results:: The expression levels of miR-24, miR-33a, miR-103a, and miR-122 in PBMCs were significantly increased in CAD patients compared with controls and were significantly correlated with blood lipids in both CAD patients and controls. The increased levels of miR-24 (adjusted OR = 1.32, 95% CI 1.07–1.62, P = 0.009), miR-33a (adjusted OR = 1.57, 95% CI 1.35–1.81, P < 0.001), miR-103a (adjusted OR = 1.01, 95% CI 1.01–1.02, P < 0.001), and miR-122 (adjusted OR = 1.03, 95% CI 1.01–1.04, P < 0.001) were associated with risk of CAD. We identified a miRNA panel (miR-24, miR-33, miR-103a, and miR-122) that provided a high diagnostic accuracy of CAD (AUC= 0.911, 95% CI 0.880–0.942).

Conclusion:: The increased expression levels of miR-24, miR-33a, miR-103a, and miR-122 in PBMCs are associated with risk of CAD. A panel of the four miRNAs has considerable clinical value in diagnosing stable CAD.

No MeSH data available.


ROC plot for the microRNA panel (miR-24, miR-33a, miR-103a, and miR-122) discriminating CAD.
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Figure 3: ROC plot for the microRNA panel (miR-24, miR-33a, miR-103a, and miR-122) discriminating CAD.

Mentions: A stepwise logistic regression model to estimate the risk of being diagnosed with CAD was applied. All the four miRNAs turned out to be significant predictors (P < 0.05). The predicted probability of being diagnosed with CAD from the logit model based on the four miRNA panel, logit (P = CAD) = −6.693 + 0.412 × miR-24 + 0.381 × miR-33a + 0.018 × miR-103a + 0.035 × miR-122 was used to construct the ROC curve. The diagnostic performance for the established miRNA panel was evaluated using ROC analysis. The AUC for the miRNA panel was 0.911 (95% CI 0.880–0.942, Fig. 3). The diagnostic performance for two pair and three pair of miRNA panel was also analyzed (Table 5), which may be useful for clinical usage with less number of miRNAs to predict CAD.


Potential Role of Lipometabolism-Related MicroRNAs in Peripheral Blood Mononuclear Cells as Biomarkers for Coronary Artery Disease
ROC plot for the microRNA panel (miR-24, miR-33a, miR-103a, and miR-122) discriminating CAD.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5392481&req=5

Figure 3: ROC plot for the microRNA panel (miR-24, miR-33a, miR-103a, and miR-122) discriminating CAD.
Mentions: A stepwise logistic regression model to estimate the risk of being diagnosed with CAD was applied. All the four miRNAs turned out to be significant predictors (P < 0.05). The predicted probability of being diagnosed with CAD from the logit model based on the four miRNA panel, logit (P = CAD) = −6.693 + 0.412 × miR-24 + 0.381 × miR-33a + 0.018 × miR-103a + 0.035 × miR-122 was used to construct the ROC curve. The diagnostic performance for the established miRNA panel was evaluated using ROC analysis. The AUC for the miRNA panel was 0.911 (95% CI 0.880–0.942, Fig. 3). The diagnostic performance for two pair and three pair of miRNA panel was also analyzed (Table 5), which may be useful for clinical usage with less number of miRNAs to predict CAD.

View Article: PubMed Central - PubMed

ABSTRACT

Aim:: To explore the relationship between lipometabolism-related microRNAs (miRNAs) in peripheral blood mononuclear cells (PBMCs) and the presence of coronary artery disease (CAD).

Methods:: In the present study, 161 stable CAD patients and 149 health controls were enrolled. The expression levels of seven miRNAs (miR-21, miR-24, miR-29a, miR-33a, miR-34a, miR-103a, and miR-122) in PBMCs were qualified by quantitative real-time polymerase chain reaction (qRT-PCR). The miRNA markers that showed significant difference between the two groups were used for further analysis. The risk of miRNA contributing to the presence of CAD was estimated by univariate and multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy.

Results:: The expression levels of miR-24, miR-33a, miR-103a, and miR-122 in PBMCs were significantly increased in CAD patients compared with controls and were significantly correlated with blood lipids in both CAD patients and controls. The increased levels of miR-24 (adjusted OR = 1.32, 95% CI 1.07&ndash;1.62, P = 0.009), miR-33a (adjusted OR = 1.57, 95% CI 1.35&ndash;1.81, P &lt; 0.001), miR-103a (adjusted OR = 1.01, 95% CI 1.01&ndash;1.02, P &lt; 0.001), and miR-122 (adjusted OR = 1.03, 95% CI 1.01&ndash;1.04, P &lt; 0.001) were associated with risk of CAD. We identified a miRNA panel (miR-24, miR-33, miR-103a, and miR-122) that provided a high diagnostic accuracy of CAD (AUC= 0.911, 95% CI 0.880&ndash;0.942).

Conclusion:: The increased expression levels of miR-24, miR-33a, miR-103a, and miR-122 in PBMCs are associated with risk of CAD. A panel of the four miRNAs has considerable clinical value in diagnosing stable CAD.

No MeSH data available.