title: Potential Role of Lipometabolism-Related MicroRNAs in Peripheral Blood Mononuclear Cells as Biomarkers for Coronary Artery Disease.
abstract: OBJECTIVE
  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).
  
  
  CONCLUSIONS
  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.
authors.affiliation: Health Medical Examination Center, Xuanwu Hospital, Capital Medical University.
authors.forename: Jing
authors.initials: J
authors.lastname: Dong
authors.forename: Ying-Zhi
authors.initials: YZ
authors.lastname: Liang
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Li-Juan
authors.initials: LJ
authors.lastname: Wu
authors.forename: Shuo
authors.initials: S
authors.lastname: Wang
authors.forename: Qi
authors.initials: Q
authors.lastname: Hua
authors.forename: Yu-Xiang
authors.initials: YX
authors.lastname: Yan
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000032:analysis*; D016022:Case-Control Studies; D003324:Coronary Artery Disease / Q000175:diagnosis* / Q000235:genetics / Q000378:metabolism; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D007963:Leukocytes, Mononuclear / Q000378:metabolism*; D050356:Lipid Metabolism; D008297:Male; D035683:MicroRNAs / Q000097:blood / Q000235:genetics*; D008875:Middle Aged; D012372:ROC Curve; D060888:Real-Time Polymerase Chain Reaction
chemical_list: D015415:Biomarkers; D035683:MicroRNAs