ApoE基因多态性与有色冶金企业职业危害暴露工人肥胖的关系

D.D. Polyanina, I.А. Bereza, А.М. Amromina, D.R. Shaikhova, S.G. Astakhova, М.P. Sutunkova, V.B. Gurvich
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引用次数: 0

摘要

肥胖有助于发展严重的伴随疾病,并大大降低生活质量。这种病理状况是由多种危险因素引起的,包括危险的工作场所暴露和遗传易感性。ApoE基因参与脂质代谢的调控。其最显著的多态性是rs429358和rs7412,由此产生的等位基因为242、242和242。这项研究没有考虑办公室电器设备产生的电磁场的影响,也没有考虑受试者的生活方式。样本中包括了年龄差异很大的人,这是因为载脂蛋白基因的罕见性。样本没有按年龄和工作经验进行标准化。本研究旨在探讨某冶金厂工人ApoE基因多态性与体重指数之间的关系。我们调查了328名男性办公室职员和转炉车间工人。身体质量指数(BMI)是根据仪器测量体重和身高的结果,使用传统公式计算的。使用LumiPure DNA凝胶提取试剂盒从外周血中分离DNA,并通过Calero等人的修饰扩增和水平琼脂糖凝胶电泳测定多态性。使用Kruskal - Wallis检验对数据进行分析。在蓝领工人中发现了统计学上的显著差异。e2等位基因携带者的BMI平均值最高。我们发现基因型中有e2等位基因的人更容易肥胖。我们还假设不安全的工作环境和更明显的表现型之间存在潜在的联系。这些发现可用于识别有风险的个体并及时采取预防措施。
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Polymorphism of the ApoE gene as a risk factor of obesity in workers exposed to occupational hazards at ferrous metallurgy enterprises
Obesity contributes to the development of severe concomitant diseases and substantially degrades the quality of life. This pathological condition is caused by multiple risk factors including hazardous workplace exposures and genetic predisposition. The ApoE gene participates in regulation of lipid metabolism. Its most significant polymorphisms are rs429358 and rs7412 with the resulting е2, е3 and е4 alleles. This study did not consider effects of electromagnetic fields generated by office electrical equipment or the lifestyle of the subjects. The sample included people with a large age difference due to the rarity of the apolipoprotein е2 and е4 alleles. The sample was not standardized by age and years of work experience. The aim of this study was to investigate associations between the ApoE gene polymorphisms and body mass index in workers employed at a metallurgic plant. We examined 328 male office workers and workers of a converter workshop. The body mass index (BMI) was calculated based on the results of instrumental measurements of weight and height using the conventional formula. DNA was isolated from peripheral blood using the LumiPure DNA gel extraction kit, and polymorphisms were determined using amplification by Calero et al with modifications and horizontal agarose gel electrophoresis. The data were analyzed using the Kruskal – Wallis test. Statistically significant differences were established in the blue-collar workers. The highest mean BMI value was established in the e2 allele carriers. We found that people with the e2 allele in their genotype were more prone to obesity. We also assume a potential association between the unsafe work environment and a more pronounced manifestation of the phenotype. These findings can be used for identifying individuals at risk and taking timely preventive measures.
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来源期刊
Health Risk Analysis
Health Risk Analysis Medicine-Health Policy
CiteScore
1.30
自引率
0.00%
发文量
38
审稿时长
20 weeks
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