Introduction. Various industries widely use chrysotile asbestos, which determines the relevance of research aimed at the prevention of asbestos-related diseases. It is promising to assess the role of specific genes, which products are potentially involved in the development and regulation of certain links in the pathogenesis of asbestosis, forming a genetic predisposition to the disease. The study aims to analyze the presence of associations of genetic polymorphism of cytokines and antioxidant enzymes with asbestosis development. Materials and methods. Groups were formed for examination among employees of OJSC "Uralasbest" with an established diagnosis of asbestosis and without lung diseases. For each person included in the study, dust exposure doses were calculated considering the percentage of time spent at the workplace during the shift for the entire work time. Genotyping of single nucleotide polymorphisms of cytokines IL1b (rs16944), IL4 (rs2243250), IL6 (rs1800795), TNFα (rs1800629) and antioxidant enzymes SOD2 (rs4880), GSTP1 (rs1610011), CAT (rs1001179) was carried out. Results. The authors revealed the associations of polymorphic variants A511G IL1b gene (OR=2.457, 95% CI=1.232-4.899) and C47T SOD2 gene (OR=1.705, 95% CI=1.055-2.756) with the development of asbestosis. There was an increase in the T allele IL4 gene (C589T) frequency in persons with asbestosis at lower values of dust exposure doses (OR=2.185, 95% CI=1.057-4.514). The study showed the associations of polymorphism C589T IL4 gene and C174G IL6 gene with more severe asbestosis, polymorphism A313G GSTP1 gene with pleural lesions in asbestosis. Conclusion. Polymorphic variants of the genes of cytokines and antioxidant enzymes, the protein products directly involved in the pathogenetic mechanisms of the formation of asbestosis, contribute to forming a genetic predisposition to the development and severe course of asbestosis. Using the identified genetic markers to identify risk groups for the development and intense period of asbestos-related pathology will optimize treatment and preventive measures, considering the organism's characteristics.
