ABSTRACT
BACKGROUND AND AIMS: The risk of developing cardiovascular disease (CVD) is twice as high among smoking individuals compared to non-smokers. Monocytes are involved in smoking-related atherosclerotic plaque formation. In this study, we investigated whether smokers with an increased risk of developing CVD can be identified on the basis of monocyte-derived miRNA expression levels. METHODS: We performed a miRNA microarray experiment on isolated monocytes from smoking, former smoking and non-smoking individuals in a cohort of patients with premature CVD and healthy controls (Cohort I, n = 76). RESULTS: We found miR-124-3p to be heterogeneously expressed among all smoking individuals, whereas expression was low in non-smokers. Subsequently, RT-qPCR measurements on whole blood showed that among smoking individuals an increase in miR-124-3p is associated with an increased risk for advanced atherosclerotic disease (cohort II, n = 24) (OR 11.72 95% CI 1.09-126.53) and subclinical atherosclerosis (coronary artery calcium score ≥ 80th percentile, cohort III n = 138) (OR 2.71, 95% CI 1.05-7.01). This was not observed among former smokers or non-smoking individuals. Flow cytometric analysis demonstrated that high miR-124-3p expression was associated with upregulation of the monocyte surface markers CD45RA, CD29 and CD206, indicating an altered monocyte phenotype. Finally, overexpression of miR-124-3p resulted in an upregulation of CD206 surface expression on monocytes. CONCLUSIONS: High miR-124-3p expression is associated with an increased risk of subclinical atherosclerosis in smoking individuals and with an altered monocyte phenotype. This may suggest that miR-124-3p identifies which smoking individuals are susceptible to the atherogenic effects of smoking.
Subject(s)
Atherosclerosis/genetics , MicroRNAs/genetics , Monocytes/metabolism , Smoking/adverse effects , Smoking/genetics , Adult , Atherosclerosis/blood , Atherosclerosis/diagnosis , Case-Control Studies , Female , Flow Cytometry , Genetic Markers , Genetic Predisposition to Disease , Humans , Integrin beta1/blood , Lectins, C-Type/blood , Leukocyte Common Antigens/blood , Logistic Models , Male , Mannose Receptor , Mannose-Binding Lectins/blood , MicroRNAs/blood , Middle Aged , Odds Ratio , Oligonucleotide Array Sequence Analysis , Phenotype , Receptors, Cell Surface/blood , Reverse Transcriptase Polymerase Chain Reaction , Risk Factors , Smoking/blood , Up-RegulationABSTRACT
Circulating microRNAs (miRNAs) have been reported as biomarkers for disease diagnosis. RT-qPCR is most commonly used to detect miRNAs; however, no consensus on the most appropriate method for data normalization exists. Via a standardized selection method, we aimed to determine separate miRNA normalization panels for RT-qPCR measurements on whole blood, platelets, and serum. Candidate miRNAs were selected from studies describing circulating miRNA microarray data in the Gene Expression Omnibus or ArrayExpress. miRNA expression data of healthy controls were retrieved from each study. For each sample type, we selected those miRNAs that were least variable and sufficiently highly expressed in multiple microarray experiments, performed on at least 2 different platforms. Stability of the candidate miRNAs was assessed using NormFinder and geNorm algorithms in a RT-qPCR cohort of 10 patients with coronary artery disease and 10 healthy controls. We selected miRNA normalization panels for RT-qPCR measurements on whole blood, platelets, and serum. As a validation, we assessed the precision of all 3 panels in 3 independent RT-qPCR cohorts and compared this with normalization for miR-16 or RNU6B. The proposed normalization panels for whole blood, platelets, and serum show better precision than normalization for miR-16 or RNU6B.
Subject(s)
Algorithms , Databases, Genetic , MicroRNAs/blood , RNA, Small Nuclear/blood , Reverse Transcriptase Polymerase Chain Reaction/methods , Reverse Transcriptase Polymerase Chain Reaction/standards , Female , Humans , MaleABSTRACT
BACKGROUND: Coronary artery disease (CAD) is the leading cause of human morbidity and mortality worldwide, underscoring the need to improve diagnostic strategies. Platelets play a major role, not only in the process of acute thrombosis during plaque rupture, but also in the formation of atherosclerosis itself. MicroRNAs are endogenous small non-coding RNAs that control gene expression and are expressed in a tissue and disease-specific manner. Therefore they have been proposed to be useful biomarkers. It remains unknown whether differences in miRNA expression levels in platelets can be found between patients with premature CAD and healthy controls. METHODOLOGY/PRINCIPAL FINDINGS: In this case-control study we measured relative expression levels of platelet miRNAs using microarrays from 12 patients with premature CAD and 12 age- and sex-matched healthy controls. Six platelet microRNAs were significantly upregulated (miR340*, miR451, miR454*, miR545:9.1. miR615-5p and miR624*) and one miRNA (miR1280) was significantly downregulated in patients with CAD as compared to healthy controls. To validate these results, we measured the expression levels of these candidate miRNAs by qRT-PCR in platelets of individuals from two independent cohorts; validation cohort I consisted of 40 patients with premature CAD and 40 healthy controls and validation cohort II consisted of 27 patients with artery disease and 40 healthy relatives. MiR340* and miR624* were confirmed to be upregulated in patients with CAD as compared to healthy controls in both validation cohorts. CONCLUSION/SIGNIFICANCE: Two miRNAs in platelets are significantly upregulated in patients with CAD as compared to healthy controls. Whether the two identified miRNAs can be used as biomarkers and whether they are cause or consequence of the disease remains to be elucidated in a larger prospective study.
