孟德尔随机化
脂质体
糖尿病
糖尿病神经病变
医学
计算生物学
生物
生物信息学
内科学
遗传学
内分泌学
脂质代谢
基因
遗传变异
基因型
作者
Zhaoxiang Wang,Z Y Liu,Qichao Yang,Huibo Qiao,Yong Yin,Zhiyong Zhao,Xuejing Shao
标识
DOI:10.3389/fendo.2024.1398691
摘要
Dyslipidemia is closely related to diabetic neuropathy. This study examined the potential causal relationship involving 179 lipid species and the disease. The pooled data on 179 lipid species and diabetic neuropathy were obtained from previous genome-wide association studies (GWAS). A Mendelian Randomization (MR) method was employed to investigate the potential causal link, and the robustness of the findings was confirmed through comprehensive sensitivity analyses. Genetically, phosphatidylcholine might be associated with the risk of diabetic neuropathy. Upon adjusting for multiple comparisons, higher levels of phosphatidylcholine (16:0_20:2) (OR = 0.82, 95%CI: 0.73-0.91; P < 0.001, FDR = 0.033) and phosphatidylcholine (16:1_18:1) (OR = 0.77, 95%CI: 0.67-0.88; P < 0.001, FDR = 0.019) are associated with a decreased risk of diabetic neuropathy. Further multivariable MR (MVMR) analysis demonstrated the effect of genetically predicted phosphatidylcholine (16:1_18:1) remained after adjusting for body mass index (BMI) and glycated hemoglobin (HbA1c). Sensitivity assessments have confirmed the robustness of these findings, revealing no evidence of heterogeneity or pleiotropy. Our research linked certain lipid species with diabetic neuropathy risk, suggesting that targeting lipids could be a therapeutic strategy in clinical trials addressing this condition.
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