9 Micrornas Represent Novel Biological Markers of Coronary Artery Calcification

Autor: Michael Mahmoudi, Huihai Wu, Nikunj Shah, Alex Horton, Edward Leatham, A Waheed, Philippa Howlett, André P. Gerber
Rok vydání: 2015
Předmět:
Zdroj: Heart. 101:A6.1-A6
ISSN: 1468-201X
1355-6037
DOI: 10.1136/heartjnl-2015-308066.9
Popis: Introduction Conventional risk stratification fails to identify many individuals presenting with major adverse cardiovascular events (MACE). Coronary artery calcification (CAC) is a powerful independent predictor of MACE however its use is limited by radiation and expense. MicroRNAs are non-coding RNAs that regulate transcription and their differential expression is acknowledged to be a hallmark of a number of diseases. We aim to determine if a peripheral blood-based microRNA profile is predictive of the presence and extent of CAC in humans. Methods Study patients met the following inclusion criteria: attendance for elective cardiac computed tomography; age 18–65 years; no history of coronary artery disease, cardiomyopathy or tachyarrhythmia; normal renal function; no history of diabetes mellitus; no autoimmune disease; no infection; no malignancy. Peripheral venesection was performed and an Agatston score was derived using default software. RNA was extracted using the LeukoLOCK Total RNA Isolation System and stored at –80 o C until Toray’s microarray analysis was undertaken. Results 24 participants were recruited (mean age 54 years; 67% male) and divided into the following categories: [CAC score 0] n = 6; [CAC score 1–10] n = 6; [CAC score 11–100] n = 6; [CAC score > 100] n = 6. Groups were matched according to their baseline characteristics; Table 1. The Student’s t-test was performed between groups. MiR-1181 was significantly down-regulated in all case groups compared to controls: [CAC 1–10] effect size (ES) = 1.76, p = 0.012; [CAC 11–100] ES = 1.74, p = 0.013; [CAC > 100] ES = 3.86, p 100 compared to controls (ES = 3, p Conclusions Human blood-based miRNA-1181 appears to predict the presence and extent of CAC. Likewise miRNAs miR-138-2-3p, miR-6816-3p and miR-8059 are differentially expressed in patients with high CAC scores. We plan to validate these findings using quantitative real-time PCR and to test these results in a prospective cohort. Ultimately miRNAs could act as a biomarker for MACE and identifying their associated molecular pathways may explain the mechanisms underpinning CAC.
Databáze: OpenAIRE
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