Zhang Chun-Hua, Shen Yang, Zhao Su-Mei
Department of Nephrology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Front Med (Lausanne). 2024 Dec 18;11:1429369. doi: 10.3389/fmed.2024.1429369. eCollection 2024.
To investigate the potential causal relationship between type 1 diabetes mellitus (T1DM) and IgA nephropathy (IgAN) to deepen understanding of the association between these two conditions and to provide a scientific basis for future preventive and therapeutic strategies.
This study employed Mendelian randomization (MR) analysis, using single nucleotide polymorphisms (SNPs) derived from genome-wide association studies (GWAS) as genetic instrumental variables (IVs), to assess the association between T1DM and IgAN. The analytical approaches included univariable and multivariable MR, along with sensitivity analyses such as Mendelian randomization-Egger (MR-Egger) and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), to evaluate the impact of heterogeneity and pleiotropy.
Univariable MR analysis using the IVW method revealed an odds ratio (OR) of 1.009 [95% confidence interval (CI): 1.032-1.206] for the association between T1DM and IgAN. Adjusted results from multivariable MR analysis indicated a significant relationship between T1DM and increased risk of IgAN; for example, after adjusting for triglycerides (TG), the OR was 1.534 (CI: 1.213-1.543). After adjustment for HOMA-IR, the OR was 1.303 (CI: 1.149-1.198). Sensitivity analyses, including MR-Egger regression intercept testing ( = 0.476), suggested no pleiotropy, and MR-PRESSO did not detect any influence from outlier SNPs.
The findings suggest that T1DM is a factor in increasing the risk of IgAN, enhancing our understanding of the potential relationship between T1DM and IgAN and providing possible biological pathways for future disease prevention and intervention.
探讨1型糖尿病(T1DM)与IgA肾病(IgAN)之间潜在的因果关系,以加深对这两种疾病关联的理解,并为未来的预防和治疗策略提供科学依据。
本研究采用孟德尔随机化(MR)分析,使用来自全基因组关联研究(GWAS)的单核苷酸多态性(SNP)作为遗传工具变量(IV),评估T1DM与IgAN之间的关联。分析方法包括单变量和多变量MR,以及敏感性分析,如孟德尔随机化-埃格(MR-Egger)和孟德尔随机化多效性残差和异常值(MR-PRESSO),以评估异质性和多效性的影响。
使用IVW方法的单变量MR分析显示,T1DM与IgAN之间关联的比值比(OR)为1.009 [95%置信区间(CI):1.032 - 1.206]。多变量MR分析的校正结果表明,T1DM与IgAN风险增加之间存在显著关系;例如,在调整甘油三酯(TG)后,OR为1.534(CI:1.213 - 1.543)。在调整HOMA-IR后,OR为1.303(CI:1.149 - 1.198)。敏感性分析,包括MR-Egger回归截距检验( = 0.476),表明不存在多效性,并且MR-PRESSO未检测到异常SNP的任何影响。
研究结果表明,T1DM是增加IgAN风险的一个因素,增强了我们对T1DM与IgAN之间潜在关系的理解,并为未来疾病预防和干预提供了可能的生物学途径。