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煤矿工人血脂异常风险的横断面分析:从流行病学到动物模型。

Cross-sectional analysis of dyslipidemia risk in coal mine workers: from epidemiology to animal models.

机构信息

School of Medicine, Anhui University of Science and Technology, Chongren Building, No 168, Taifeng St,, Huainan, 232001, P.R. China.

Anhui Province Engineering Laboratory of Occupational Health and Safety, Anhui University of Science and Technology, Huainan, P.R. China.

出版信息

Sci Rep. 2024 Nov 6;14(1):26894. doi: 10.1038/s41598-024-74718-5.

Abstract

To investigate the association between coal dust exposure and the occurrence of dyslipidemia in coal mine workers, and identify relevant risk factors. Methods: We selected a population who underwent occupational health examinations at Huainan Yangguang Xinkang Hospital from March 2020 to July 2022. Participants were divided into two groups based on the presence or absence of dyslipidemia, and their baseline information was collected, including records of coal dust exposure. We employed single-factor analysis to identify risk factors for dyslipidemia and adjusted for confounding factors in the adjusted models. Additionally, we explored the effects in different populations using stratified analysis, smooth curve fitting, and propensity score matching. Finally, we confirmed the causal relationship between coal dust exposure and dyslipidemia by examining tissue sections and lipid-related indicators in a mouse model of coal dust exposure. Results A total of 5,657 workers were included in the study, among whom 924 individuals had dyslipidemia and 4,743 individuals did not have dyslipidemia. The results of the single-factor analysis revealed that dust exposure, age, BMI, blood pressure, and smoking were statistically significant risk factors for dyslipidemia (p < 0.05). Additionally, the three multivariate models, adjusted for different confounders, consistently showed a significant increase in the risk of dyslipidemia associated with coal dust exposure (Model 1: OR, 1.869; Model 2: OR, 1.863; Model 3: OR, 2.033). After conducting stratified analysis, this positive correlation remained significant. Furthermore, propensity score matching analysis revealed that with increasing years of work, the risk of dyslipidemia gradually increased, reaching 50% at 11 years. In the mouse model of coal dust exposure, significant coal dust deposition was observed in the lungs and livers of the mice, accompanied by elevated levels of total cholesterol (TC), alanine transaminase (ALT), aspartate transaminase (AST), and low-density lipoprotein cholesterol (LDL-C). Conclusion Exposure to coal dust significantly increases the risk of developing dyslipidemia, and this positive correlation exists in different populations, particularly with increasing years of work, resulting in a higher risk.

摘要

目的

探讨煤矿工人煤尘暴露与血脂异常发生的关系,并识别相关的危险因素。方法:我们选择了 2020 年 3 月至 2022 年 7 月在淮南阳光新康医院进行职业健康检查的人群。根据是否存在血脂异常将参与者分为两组,并收集他们的基线信息,包括煤尘暴露记录。我们采用单因素分析来识别血脂异常的危险因素,并在调整模型中调整混杂因素。此外,我们还通过分层分析、平滑曲线拟合和倾向评分匹配来探讨不同人群中的作用。最后,我们通过检查暴露于煤尘的小鼠模型中的组织切片和脂质相关指标来确认煤尘暴露与血脂异常之间的因果关系。结果:共有 5657 名工人被纳入研究,其中 924 人患有血脂异常,4743 人没有血脂异常。单因素分析结果显示,煤尘暴露、年龄、BMI、血压和吸烟是血脂异常的统计学显著危险因素(p<0.05)。此外,三个调整不同混杂因素的多变量模型均一致显示,煤尘暴露与血脂异常的风险显著增加(模型 1:OR,1.869;模型 2:OR,1.863;模型 3:OR,2.033)。经过分层分析,这种正相关仍然显著。此外,倾向评分匹配分析显示,随着工作年限的增加,血脂异常的风险逐渐增加,在 11 年时达到 50%。在暴露于煤尘的小鼠模型中,我们观察到小鼠的肺部和肝脏中存在明显的煤尘沉积,同时总胆固醇(TC)、丙氨酸转氨酶(ALT)、天冬氨酸转氨酶(AST)和低密度脂蛋白胆固醇(LDL-C)水平升高。结论:煤尘暴露显著增加了血脂异常的发生风险,这种正相关性在不同人群中存在,特别是随着工作年限的增加,风险更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0220/11542065/ffea0a296359/41598_2024_74718_Fig1_HTML.jpg

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