Molecular genetic markers of myocardial infarction in combination with type 2 diabetes

Author:

Tolmacheva A. A.1ORCID,Lozhkina N. G.1ORCID,Maksimov V. N.2ORCID,Gurazheva A. A.3ORCID,Ragino Yu. I.3ORCID

Affiliation:

1. Novosibirsk State Medical University

2. Novosibirsk State Medical University; Research Institute of Internal and Preventive Medicine — branch of the Federal Research Center Institute of Cytology and Genetics

3. Research Institute of Internal and Preventive Medicine — branch of the Federal Research Center Institute of Cytology and Genetics

Abstract

Aim. To study associations of rs2464196 and rs11212617 polymorphisms with the development of myocardial infarction (MI) in combination with type 2 diabetes  (T2D).Material and methods. The study included two groups: main group (n=115) — patients with prior myocardial infarction and T2D, comparison  group (n=116) — patients with myocardial  infarction without T2D, hospitalized  from December 1, 2018 to December  31, 2019 at the Regional Vascular Center № 1 of the City Clinical Hospital № 1. Participants were comparable in sex and age. Patients underwent  clinical and instrumental investigations,  a genetic test for single nucleotide polymorphisms, which showed associations with the development  of MI and T2D according to genome-wide  association study (GWAS): rs2464196 of the HNF1A  gene, rs11212617 of the ATM gene.Results. Carriage of the AA genotype of the HNF1A  rs2464196 polymorphism was found to be associated MI in combination with T2D in the general group (odds  ratio (OR), 3,180, 95% confidence interval (CI), 1,206-8,387, p=0,015). After division of the group by sex, significant differences  remained only in women (OR=9,706, 95% CI, 1,188-79,325, p=0,011).Conclusion. The data obtained can make it possible to identify a priority group of patients for personalized prevention of cardiovascular diseases.

Publisher

Silicea - Poligraf, LLC

Subject

Cardiology and Cardiovascular Medicine

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4. Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:1-10. doi:10.1016/j.diabres.2019.107843.

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