Severity of coronary artery disease is associated with diminished circANRIL expression: A possible blood based transcriptional biomarker in East Africa.
Gokce AkanEvarist NyawawaBashir NyangasaMehmet Kerem TurkcanErasto MbugiMohammed JanabiFatmahan AtalarPublished in: Journal of cellular and molecular medicine (2023)
Antisense Noncoding RNA in the INK4 Locus (ANRIL) is the prime candidate gene at Chr9p21, the well-defined genetic risk locus associated with coronary artery disease (CAD). ANRIL and its transcript variants were investigated for the susceptibility to CAD in adipose tissues (AT) and peripheral blood mononuclear cells (PBMCs) of the study group and the impact of 9p21.3 locus mutations was further analysed. Expressions of ANRIL, circANRIL (hsa_circ_0008574), NR003529, EU741058 and DQ485454 were detected in epicardial AT (EAT) mediastinal AT (MAT), subcutaneous AT (SAT) and PBMCs of CAD patients undergoing coronary artery bypass grafting and non-CAD patients undergoing heart valve surgery. ANRIL expression was significantly upregulated, while the expression of circANRIL was significantly downregulated in CAD patients. Decreased circANRIL levels were significantly associated with the severity of CAD and correlated with aggressive clinical characteristics. rs10757278 and rs10811656 were significantly associated with ANRIL and circANRIL expressions in AT and PBMCs. The ROC-curve analysis suggested that circANRIL has high diagnostic accuracy (AUC: 0.9808, cut-off: 0.33, sensitivity: 1.0, specificity: 0.88). circANRIL has high diagnostic accuracy (AUC: 0.9808, cut-off: 0.33, sensitivity: 1.0, specificity: 0.88). We report the first data demonstrating the presence of ANRIL and its transcript variants expressions in the AT and PBMCs of CAD patients. circANRIL having a synergetic effect with ANRIL plays a protective role in CAD pathogenesis. Therefore, altered circANRIL expression may become a potential diagnostic transcriptional biomarker for early CAD diagnosis.
Keyphrases
- coronary artery disease
- coronary artery bypass grafting
- percutaneous coronary intervention
- poor prognosis
- cardiovascular events
- patients undergoing
- end stage renal disease
- ejection fraction
- aortic stenosis
- chronic kidney disease
- gene expression
- newly diagnosed
- binding protein
- copy number
- peritoneal dialysis
- minimally invasive
- coronary artery bypass
- long non coding rna
- heart failure
- type diabetes
- genome wide
- insulin resistance
- climate change
- metabolic syndrome
- electronic health record
- rna seq
- big data
- aortic valve
- single cell
- deep learning
- atomic force microscopy
- artificial intelligence
- single molecule
- skeletal muscle
- heat shock
- nucleic acid
- heat shock protein