Causal association of type 2 diabetes with central retinal artery occlusion: a Mendelian randomization study

被引:1
作者
Liu, Tong [1 ,2 ]
Lu, Qingli [1 ,2 ]
Liu, Zhongzhong [1 ,2 ]
Lin, Xuemei [1 ,2 ]
Peng, Linna [1 ,2 ]
Lu, Xiping [1 ,2 ]
Guo, Weiyan [2 ]
Liu, Pei [1 ,2 ]
Zhang, Na [1 ,2 ]
Wu, Songdi [1 ,2 ]
机构
[1] Northwestern Univ, Hosp Xian 1, Affiliated Hosp 1, Dept Neurol & Neuroophthalmol, Xian, Peoples R China
[2] Xian Key Lab Innovat & Translat Neuroimmunol Dis, Xian, Peoples R China
来源
FRONTIERS IN ENDOCRINOLOGY | 2024年 / 15卷
关键词
central retinal artery occlusion; type; 2; diabetes; Mendelian randomization; causal relationship; risk factor; RISK-FACTORS; MELLITUS; DISEASES;
D O I
10.3389/fendo.2024.1379549
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Central retinal artery occlusion (CRAO) is a medical condition characterized by sudden blockage of the central retinal artery, which leads to a significant and often irreversible loss of vision. Observational studies have indicated that diabetes mellitus is a risk factor for CRAO; however, there is no research on the causal relationship between diabetes mellitus, particularly type 2 diabetes, and CRAO. This study aimed to perform Mendelian randomization (MR) analysis to clarify the causal relationship between type 2 diabetes and CRAO.Methods Genetic variants associated with type 2 diabetes were selected from two different datasets. A recent genome-wide association study of CRAO conducted using the FinnGen database was used as the outcome data. A two-sample MR was performed to evaluate the causal relationship between type 2 diabetes and CRAO. Inverse variance weighting was the primary method, and MR-Egger, maximum likelihood, and median weighting were used as complementary methods. A multivariate MR (MVMR) analysis was performed to further evaluate the robustness of the results. Cochran's Q test, MR-Egger intercept test, and MR-PRESSO global test were used for the sensitivity analyses.Results Genetically predicted type 2 diabetes was causally associated with CRAO(odds ratio [OR] =2.108, 95% confidence interval [CI]: 1.221-3.638, P=7.423x10-3), which was consistent with the results from the validation dataset (OR=1.398, 95%CI: 1.015-1.925, P=0.040). The MVMR analysis suggested that type 2 diabetes may be an independent risk factor for CRAO (adjusted OR=1.696; 95%CI=1.150-2.500; P=7.655x10-3), which was assumed by the validation dataset (adjusted OR=1.356; 95%CI=1.015-1.812; P=0.039).Conclusion Our results show that genetically predicted type 2 diabetes may be causally associated with CRAO in European populations. This suggests that preventing and controlling type 2 diabetes may reduce the risk of CRAO.
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页数:10
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