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Association Between Long Noncoding Rna Anril Expression Variants and Susceptibility to Coronary Artery Disease



Yari M1 ; Bitarafan S1 ; Broumand MA2 ; Fazeli Z1 ; Rahimi M1, 3 ; Ghaderian SMH1 ; Mirfakhraie R1 ; Omrani MD1, 4
Authors
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Authors Affiliations
  1. 1. Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Department of Molecular Pathology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Bioinformatics and Genomics, Pharmacogenetic Research Center, Simple LIMS, San Diego, CA, United States
  4. 4. Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: International Journal of Molecular and Cellular Medicine Published:2018

Abstract

Animal cells possess thousands of long non-coding (lnc) RNAs, such as antisense noncoding RNA in the INK4 locus (ANRIL), which have regulatory roles in the cells' molecular mechanisms, including X-chromosome inactivation, and developmental processes. These lnc RNAs are known to influence the extensive spectrum of agerelated disorders. Accordingly, there is evidence for the role of these lnc RNAs in cardiovascular diseases, particularly coronary artery diseases (CAD). The aim of this study was to assess whether the expression of the lnc RNA ANRIL was associated with a susceptibility to CAD by evaluating the expression level of the two transcripts of ANRIL. Peripheral blood was taken from fifty patients affected by CAD and relative expression of ANRIL was determined by Real-Time PCR assay. The obtained data indicated that the EU741058 transcript expression level significantly decreased in CAD patients in comparison with the healthy individuals (P= 0.001). Furthermore, there was no significant association between the NR_003529 transcript expression, and CAD risk in Iranian patients (P=0.751). Our results suggest that the expression level of the EU741058 transcript of ANRIL may be implicated in CAD development, creating a predictive biomarker for CAD patients in future. © 2018 Babol University of Medical Sciences.