5 项血清脂质参数与糖尿病肾病的因果关系：一项孟德尔随机化研究。
The causal relationship between 5 serum lipid parameters and diabetic nephropathy: a Mendelian randomization study.
机构信息
Department of Endocrinology, Aerospace Center Hospital, Beijing, China.
Department of Endocrinology, First Hospital of Handan City, Handan, Hebei, China.
出版信息
Front Endocrinol (Lausanne). 2024 May 28;15:1358358. doi: 10.3389/fendo.2024.1358358. eCollection 2024.
BACKGROUND
Serum lipids were found to be correlated with chronic kidney disease and cardiovascular disease. Here, we aimed to research the potential causal associations between five serum lipid parameters and the risk of diabetic nephropathy using several Mendelian Randomization methods.
METHODS
Genetic data was obtained from the UK Biobank datasets. Causal effects were estimated using multiple MR methods. Heterogeneity and pleiotropy tests were performed.
RESULTS
MR analysis revealed that HDL-C and TG exhibited causal associations with diabetic nephropathy (<0.05). Similar trends were not observed for other lipid parameters.
CONCLUSIONS
Our research has suggested links between HDL-C, TG and diabetic nephropathy. The findings could contribute to further elucidation of the disease etiology.
STRENGTHS AND LIMITATIONS OF THIS STUDY
This article only uses Mendel randomization method to analyze the relationship between blood lipids and diabetes nephropathy, which is more convincing when combined with population data.
背景
血清脂质与慢性肾脏病和心血管疾病相关。本研究旨在使用多种孟德尔随机化方法，研究五种血清脂质参数与糖尿病肾病风险之间的潜在因果关联。
方法
遗传数据来自英国生物库数据集。使用多种 MR 方法估计因果效应。进行了异质性和多效性检验。
结果
MR 分析显示，HDL-C 和 TG 与糖尿病肾病呈因果关联（<0.05）。其他脂质参数则未观察到类似趋势。
结论
本研究提示 HDL-C、TG 与糖尿病肾病之间存在关联。研究结果可能有助于进一步阐明该疾病的病因。
本研究的优势和局限性
本文仅使用孟德尔随机化方法分析血脂与糖尿病肾病的关系，结合人群数据更有说服力。
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