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Diab Vasc Dis Res ; 11(1): 60-3, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24281401

ABSTRACT

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 (ß = 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.


Subject(s)
Ataxia Telangiectasia Mutated Proteins/genetics , Coronary Artery Disease/genetics , Genetic Loci , Polymorphism, Single Nucleotide , Aged , Aged, 80 and over , Ataxia Telangiectasia Mutated Proteins/metabolism , Blood Glucose/analysis , Cohort Studies , Coronary Angiography , Coronary Artery Disease/blood , Coronary Artery Disease/diagnostic imaging , Coronary Artery Disease/metabolism , Coronary Vessels/diagnostic imaging , Cross-Sectional Studies , Gene Frequency , Genetic Association Studies , Germany , Hospitals, University , Humans , Male , Middle Aged , Severity of Illness Index , Statistics as Topic
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