Effect of Interactions Between Endothelial Lipase Gene Polymorphisms and Traditional Cardiovascular Risk Factors on Coronary Heart Disease Susceptibility.

IF 1.3 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Reviews in cardiovascular medicine Pub Date : 2025-07-25 eCollection Date: 2025-07-01 DOI:10.31083/RCM37356
Chunhui He, Xingming Song, Ting He, Qing Tian, Yuhui Zhang, Halisha Airikenjiang, Dilihumaer Abulaiti, Haitang Qiu, Mengbo Zhu, Juan Yang, Jian Zhang, Ying Gao
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Abstract

Background: Coronary heart disease (CHD) arises from a complex interplay of genetic and environmental factors. This study examines the influence of endothelial lipase gene polymorphisms (rs2000813 and rs3813082) and their interactions with traditional cardiovascular risk factors on CHD susceptibility.

Methods: This retrospective case-control study enrolled 900 CHD patients and 900 control subjects. We evaluated associations between conventional cardiovascular risk factors and polymorphisms at the rs2000813 and rs3813082 loci in the endothelial lipase gene. Multifactorial analysis was used to assess interactions between traditional risk factors and these polymorphisms. Additionally, we developed a predictive model integrating genetic variants and clinical variables to estimate CHD risk.

Results: No significant differences were observed in the distribution of rs2000813 genotypes (CC, CT, TT) and alleles (C, T), or rs3813082 genotypes (AA, AC, CC) and alleles (A, C) between CHD and control groups, including among males. However, in females with CHD, the rs2000813CT genotype was significantly more frequent (49.30%) than in controls (37.80%), whereas the CC genotype was less frequent in the CHD group (45.00%) than in controls (55.20%). Multivariate logistic regression identified the rs2000813CT genotype, hypertension, ages ≥60 years, body mass index (BMI) values ≥28 kg/m2, total cholesterol (TC) ≥6.2 mmol/L, and apolipoprotein B (ApoB) ≥1.1 g/L as potential risk factors for CHD in women (p < 0.05). Gene-environment interaction analysis revealed that BMI exerted the greatest influence (12.62%). A predictive model incorporating rs2000813 genotypes estimated CHD risk in women with an area under the curve (AUC) of 0.804.

Conclusions: The rs2000813CT endothelial lipase genotype is potentially associated with an increased CHD risk in females, whereas the CC genotype may confer a protective effect. Integrating endothelial lipase gene variants with traditional cardiovascular risk factors enhances CHD risk prediction in women. Synergistic interaction between endothelial lipase polymorphisms and environmental factors appears to influence CHD occurrence in this population.

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内皮脂肪酶基因多态性与传统心血管危险因素相互作用对冠心病易感性的影响
背景:冠心病(CHD)是遗传和环境因素复杂相互作用的结果。本研究探讨内皮脂肪酶基因多态性(rs2000813和rs3813082)及其与传统心血管危险因素的相互作用对冠心病易感性的影响。方法:采用回顾性病例对照研究,纳入900例冠心病患者和900例对照组。我们评估了传统心血管危险因素与内皮脂肪酶基因rs2000813和rs3813082位点多态性之间的关系。多因素分析用于评估传统风险因素与这些多态性之间的相互作用。此外,我们开发了一个整合遗传变异和临床变量的预测模型来估计冠心病的风险。结果:rs2000813基因型(CC、CT、TT)及等位基因(C、T)和rs3813082基因型(AA、AC、CC)及等位基因(A、C)在冠心病患者与对照组(包括男性)之间分布无显著差异。然而,在患有冠心病的女性中,rs2000813CT基因型的频率(49.30%)明显高于对照组(37.80%),而CC基因型在冠心病组中的频率(45.00%)低于对照组(55.20%)。多因素logistic回归分析发现,rs2000813CT基因型、高血压、年龄≥60岁、体重指数(BMI)≥28 kg/m2、总胆固醇(TC)≥6.2 mmol/L、载脂蛋白B (ApoB)≥1.1 g/L是女性冠心病的潜在危险因素(p < 0.05)。基因-环境互作分析显示,BMI的影响最大(12.62%)。纳入rs2000813基因型的预测模型估计,曲线下面积(AUC)为0.804的女性患冠心病的风险。结论:rs2000813CT内皮脂肪酶基因型可能与女性冠心病风险增加相关,而CC基因型可能具有保护作用。整合内皮脂肪酶基因变异与传统心血管危险因素可提高女性冠心病风险预测。内皮脂肪酶多态性和环境因素之间的协同相互作用似乎影响该人群中冠心病的发生。
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来源期刊
Reviews in cardiovascular medicine
Reviews in cardiovascular medicine 医学-心血管系统
CiteScore
2.70
自引率
3.70%
发文量
377
审稿时长
1 months
期刊介绍: RCM is an international, peer-reviewed, open access journal. RCM publishes research articles, review papers and short communications on cardiovascular medicine as well as research on cardiovascular disease. We aim to provide a forum for publishing papers which explore the pathogenesis and promote the progression of cardiac and vascular diseases. We also seek to establish an interdisciplinary platform, focusing on translational issues, to facilitate the advancement of research, clinical treatment and diagnostic procedures. Heart surgery, cardiovascular imaging, risk factors and various clinical cardiac & vascular research will be considered.
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