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低密度脂蛋白胆固醇与糖尿病相关性的线性和非线性分析:观察性研究中的虚假 U 型曲线。

Linear and nonlinear analyses of the association between low-density lipoprotein cholesterol and diabetes: The spurious U-curve in observational study.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

出版信息

Front Endocrinol (Lausanne). 2022 Nov 17;13:1009095. doi: 10.3389/fendo.2022.1009095. eCollection 2022.

DOI:10.3389/fendo.2022.1009095
PMID:36465637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9714469/
Abstract

OBJECTIVE

Hyperlipidemia is traditionally considered a risk factor for diabetes. The effect of low-density lipoprotein cholesterol (LDL-C) is counterintuitive to diabetes. We sought to investigate the relationship between LDL-C and diabetes for better lipid management.

METHODS

We tested the shape of association between LDL-C and diabetes and created polygenic risk scores of LDL-C and generated linear Mendelian randomization (MR) estimates for the effect of LDL-C and diabetes. We evaluated for nonlinearity in the observational and genetic relationship between LDL-C and diabetes.

RESULTS

Traditional observational analysis suggested a complex non-linear association between LDL-C and diabetes while nonlinear MR analyses found no evidence for a non-linear association. Under the assumption of linear association, we found a consistently protective effect of LDL-C against diabetes among the females without lipid-lowering drugs use. The ORs were 0.84 (95% CI, 0.72-0.97, ) in an observational analysis which was more prominent in MR analysis and suggested increasing the overall distribution of LDL-C in females led to an overall decrease in the risk of diabetes ().

CONCLUSIONS

We verified the liner protective effect of LDL-C against diabetes among the females without lipid-lowering drug use. Non-linear associations between LDL-C against diabetes in observational analysis are not causal.

摘要

目的

高脂血症传统上被认为是糖尿病的一个危险因素。低密度脂蛋白胆固醇(LDL-C)对糖尿病的影响与直觉相反。我们试图研究 LDL-C 与糖尿病之间的关系,以更好地进行血脂管理。

方法

我们检验了 LDL-C 与糖尿病之间的关联形式,并构建了 LDL-C 的多基因风险评分,并生成了 LDL-C 与糖尿病之间的线性孟德尔随机化(MR)估计值。我们评估了 LDL-C 与糖尿病之间观察性和遗传关系中的非线性。

结果

传统的观察性分析表明,LDL-C 与糖尿病之间存在复杂的非线性关联,而非线性 MR 分析则没有发现这种关联是非线性的证据。在线性关联的假设下,我们发现 LDL-C 对未使用降脂药物的女性糖尿病具有一致的保护作用。在观察性分析中,OR 值为 0.84(95%CI,0.72-0.97,),MR 分析中的结果更显著,表明增加女性 LDL-C 的总体分布会降低糖尿病的总体风险()。

结论

我们验证了未使用降脂药物的女性中 LDL-C 对糖尿病的线性保护作用。观察性分析中 LDL-C 对糖尿病的非线性关联不是因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/21562c621a13/fendo-13-1009095-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/4ceaa880c1e5/fendo-13-1009095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/f0cb23069df2/fendo-13-1009095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/c8ddfd13610b/fendo-13-1009095-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/21562c621a13/fendo-13-1009095-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/4ceaa880c1e5/fendo-13-1009095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/f0cb23069df2/fendo-13-1009095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/c8ddfd13610b/fendo-13-1009095-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c29/9714469/21562c621a13/fendo-13-1009095-g004.jpg

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