Ivan Zivotić1, Tamara Djurić1, Aleksandra Stanković1, Dejan Milasinovic2, Goran Stankovic3, Milica Dekleva4, Natasa Marković Nikolić4, Dragan Alavantić1, Maja Zivković5. 1. VINČA Institute of Nuclear Sciences, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia. 2. Cardiology Clinic, Clinical Center of Serbia, 11000 Belgrade, Serbia. 3. Cardiology Clinic, Clinical Center of Serbia, 11000 Belgrade, Serbia; School of Medicine, University of Belgrade, 11000 Belgrade, Serbia. 4. Department of Cardiology, University Clinical Hospital Center Zvezdara, School of Medicine, University of Belgrade, Belgrade, Serbia. 5. VINČA Institute of Nuclear Sciences, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia. Electronic address: majaz@vinca.rs.
Abstract
BACKGROUND: Chromosomal region 9p21.3 is most robustly associated with coronary artery disease (CAD) in western European populations. However, heterogeneity in CAD phenotypes leads to uncertainty whether 9p21.3 is associated with stable and/or acute clinical presentations of CAD. 9p21.3 is rich in regulatory elements, but the underlying mechanisms of its actions in CAD remain unclear. We investigate the association of 9p21.3 two haplotype blocks lead variants (rs10757278 and rs518394) with first-ever non-fatal myocardial infarction (MI) in CAD patients and their association with CDKN2B mRNA expression in peripheral blood mononuclear cells 6 months after the event. METHODS: We included CAD patients with sustained first MI (n = 523) and controls (n = 583). Gene expression was assessed in 72 patients 6 months after MI and 43 healthy controls. TaqMan® technology was used for the gene expression and genotyping analysis. RESULTS: CDKN2B mRNA was significantly lower in MI patients compared with the controls (p = 0.002) and in patients carrying the rs10757278 G risk allele versus AA homozygotes (p = 0.012) 6 months after the event. While we confirmed the association of rs10757278 with CDKN2B expression in MI patients, we failed to find an association between the investigated variants and MI or disease burden. CONCLUSIONS: We suggest a dysregulation of gene expression in the 9p21.3 region six months after acute MI, which is affected by a genetic variant in patients. The rs10757278 rare allele is one factor that might lead to prolonged risk for proatherogenic complications.
BACKGROUND: Chromosomal region 9p21.3 is most robustly associated with coronary artery disease (CAD) in western European populations. However, heterogeneity in CAD phenotypes leads to uncertainty whether 9p21.3 is associated with stable and/or acute clinical presentations of CAD. 9p21.3 is rich in regulatory elements, but the underlying mechanisms of its actions in CAD remain unclear. We investigate the association of 9p21.3 two haplotype blocks lead variants (rs10757278 and rs518394) with first-ever non-fatal myocardial infarction (MI) in CAD patients and their association with CDKN2B mRNA expression in peripheral blood mononuclear cells 6 months after the event. METHODS: We included CAD patients with sustained first MI (n = 523) and controls (n = 583). Gene expression was assessed in 72 patients 6 months after MI and 43 healthy controls. TaqMan® technology was used for the gene expression and genotyping analysis. RESULTS:CDKN2B mRNA was significantly lower in MI patients compared with the controls (p = 0.002) and in patients carrying the rs10757278 G risk allele versus AA homozygotes (p = 0.012) 6 months after the event. While we confirmed the association of rs10757278 with CDKN2B expression in MI patients, we failed to find an association between the investigated variants and MI or disease burden. CONCLUSIONS: We suggest a dysregulation of gene expression in the 9p21.3 region six months after acute MI, which is affected by a genetic variant in patients. The rs10757278 rare allele is one factor that might lead to prolonged risk for proatherogenic complications.
Authors: Hannah J Perrin; Kevin W Currin; Swarooparani Vadlamudi; Gautam K Pandey; Kenneth K Ng; Martin Wabitsch; Markku Laakso; Michael I Love; Karen L Mohlke Journal: PLoS Genet Date: 2021-10-26 Impact factor: 6.020