[en] OBJECTIVE: Type 2 diabetes is accompanied by increased mortality from coronary artery disease (CAD), but the mechanisms linking these conditions remain elusive. Hence, treatment of hyperglycaemia alone is not sufficient to avoid CAD in diabetes. Alternative views suggest that metabolic and vascular diseases share unifying cellular defects that could serve as targets for novel therapeutic strategies. Recently, a variant [single-nucleotide polymorphism (SNP); rs11212617] near the gene for ataxia telangiectasia mutated (ATM) has been associated with glycaemic response to metformin. MATERIALS AND METHODS: We determined rs11212617 in 240 male patients who underwent elective coronary angiography. RESULTS: While the variant was not associated with glucose concentrations, the A allele was significantly associated with the presence of CAD (chi-square, p = 0.003), as well as with logarithmically transformed quantitative CAD indices [severe score (SS): 0.5 (0.4-0.6) vs 0.3 (0.2-0.5); extent score (ES): 2.63 (2.4-2.9) vs 1.94 (1.4-2.4), both p < 0.05, respectively]. Multivariate analysis revealed an independent association between the A allele with ES (beta = 0.17, p < 0.01). CONCLUSION: Our data suggest that ATM-dependent signalling might play a role in the development of atherosclerotic vascular disease, but larger studies are necessary to substantiate such a hypothesis.
Centre de recherche :
- Luxembourg Centre for Systems Biomedicine (LCSB): Medical Translational Research (J. Schneider Group)
Disciplines :
Biochimie, biophysique & biologie moléculaire
Auteur, co-auteur :
Schiekofer, Stephan
Bobak, Izabela
Kleber, Marcus E.
Maerz, Winfried
Rudofsky, Gottfried
Dugi, Klaus A.
SCHNEIDER, Jochen ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Association between a gene variant near ataxia telangiectasia mutated and coronary artery disease in men.
Date de publication/diffusion :
2014
Titre du périodique :
Diabetes and Vascular Disease Research
ISSN :
1479-1641
eISSN :
1752-8984
Maison d'édition :
SAGE Publications, New York, Etats-Unis - New York