Zhang Xiaohuan
Department of Special Laboratory, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, and People's Hospital of Henan University, Zhengzhou, Henan, China.
Diabetol Metab Syndr. 2025 Jul 18;17(1):284. doi: 10.1186/s13098-025-01858-7.
To elucidate the correlation between immunoglobulin G (IgG) N-glycosylation patterns (IGPs) and diabetes complications, including diabetic nephropathy (DN), diabetic retinopathy (DR) and diabetic maculopathy (DM). We performed a two-sample Mendelian randomization (MR) study.
We obtained genome-wide association studies (GWAS) summary statistics related to 77 IGPs and diabetic complications from the MRC Human Genetics Unit and the FinnGen consortium. In our two-sample MR, genetic variants associated with IGPs were used to estimate correlations. The inverse-variance weighted (IVW) method was used as the primary analysis. Various complementary methods, including MR-Egger, weighted median (WM), and weighted mode were implemented to detect the causal relationship. Sensitivity analyses including MR-PRESSO, MR-Egger, Cochran's Q and leave-one-out methods were used to validate the robustness of the results.
After MR-PRESSO outlier correction and a stringent False Discovery Rate (FDR) correction, a significant causal association was identified: higher levels of IGP48 were robustly associated with an increased risk of diabetic maculopathy (DM) (OR: 1.21, 95% CI: 1.09-1.35, P = 0.001, FDR = 0.004). Additionally, several other nominal associations (P < 0.05) were observed that did not withstand FDR correction but suggest areas for future investigation. These included protective associations with DM for IGP18 (OR: 0.86, P = 0.033) and IGP35 (OR: 0.90, P = 0.015), and risk associations for IGP23 (OR: 1.19, P = 0.028) and IGP28 (OR: 1.17, P = 0.038). For diabetic retinopathy (DR), a nominal protective association was found for IGP35 (OR: 0.94, P = 0.026) and a risk association for IGP48 (OR: 1.07, P = 0.042). Sensitivity analyses detected no significant horizontal pleiotropy, and the results were stable.
Our study provides robust genetic evidence identifying IGP48 as a causal risk factor for DM. Other nominal associations with DM and DR require further validation. IGP48 emerges as a promising biomarker and therapeutic target for DM, warranting further research into its underlying mechanisms and clinical utility.
Not applicable.
为阐明免疫球蛋白G(IgG)N-糖基化模式(IGP)与糖尿病并发症之间的相关性,这些并发症包括糖尿病肾病(DN)、糖尿病视网膜病变(DR)和糖尿病黄斑病变(DM)。我们进行了一项两样本孟德尔随机化(MR)研究。
我们从医学研究委员会人类遗传学单位和芬兰基因联盟获得了与77种IGP和糖尿病并发症相关的全基因组关联研究(GWAS)汇总统计数据。在我们的两样本MR研究中,与IGP相关的基因变异被用于估计相关性。采用逆方差加权(IVW)方法作为主要分析方法。实施了各种补充方法,包括MR-Egger、加权中位数(WM)和加权模式,以检测因果关系。敏感性分析包括MR-PRESSO、MR-Egger、 Cochr an's Q和留一法,用于验证结果的稳健性。
经过MR-PRESSO异常值校正和严格的错误发现率(FDR)校正后,确定了显著的因果关联:较高水平的IGP48与糖尿病黄斑病变(DM)风险增加密切相关(OR:1.21,95%CI:1.09-1.35,P = 0.001,FDR = 0.004)。此外,还观察到其他几个名义上的关联(P < 0.05),这些关联在FDR校正后不成立,但提示了未来的研究方向。其中包括IGP18(OR:0.86,P = 0.033)和IGP35(OR:0.90,P = 0.015)对DM的保护关联,以及IGP23(OR:1.19,P = 0.028)和IGP28(OR:1.17,P = 0.038)的风险关联。对于糖尿病视网膜病变(DR),发现IGP35存在名义上的保护关联(OR:0.94,P = 0.026),IGP48存在风险关联(OR:1.07,P = 0.042)。敏感性分析未检测到显著的水平多效性,结果稳定。
我们的研究提供了有力的遗传学证据,确定IGP48是DM的因果风险因素。与DM和DR的其他名义关联需要进一步验证。IGP48成为DM有前景的生物标志物和治疗靶点,值得进一步研究其潜在机制和临床应用。
不适用。