Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Department of Clinical Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, the Netherlands.
Diabetologia. 2024 Sep;67(9):1865-1876. doi: 10.1007/s00125-024-06204-6. Epub 2024 Jun 26.
AIMS/HYPOTHESIS: Use of genetic risk scores (GRS) may help to distinguish between type 1 diabetes and type 2 diabetes, but less is known about whether GRS are associated with disease severity or progression after diagnosis. Therefore, we tested whether GRS are associated with residual beta cell function and glycaemic control in individuals with type 1 diabetes.
Immunochip arrays and TOPMed were used to genotype a cross-sectional cohort (n=479, age 41.7 ± 14.9 years, duration of diabetes 16.0 years [IQR 6.0-29.0], HbA 55.6 ± 12.2 mmol/mol). Several GRS, which were originally developed to assess genetic risk of type 1 diabetes (GRS-1, GRS-2) and type 2 diabetes (GRS-T2D), were calculated. GRS-C1 and GRS-C2 were based on SNPs that have previously been shown to be associated with residual beta cell function. Regression models were used to investigate the association between GRS and residual beta cell function, assessed using the urinary C-peptide/creatinine ratio, and the association between GRS and continuous glucose monitor metrics.
Higher GRS-1 and higher GRS-2 both showed a significant association with undetectable UCPCR (OR 0.78; 95% CI 0.69, 0.89 and OR 0.84: 95% CI 0.75, 0.93, respectively), which were attenuated after correction for sex and age of onset (GRS-2) and disease duration (GRS-1). Higher GRS-C2 was associated with detectable urinary C-peptide/creatinine ratio (≥0.01 nmol/mmol) after correction for sex and age of onset (OR 6.95; 95% CI 1.19, 40.75). A higher GRS-T2D was associated with less time below range (TBR) (OR for TBR<4% 1.41; 95% CI 1.01 to 1.96) and lower glucose coefficient of variance (β -1.53; 95% CI -2.76, -0.29).
CONCLUSIONS/INTERPRETATION: Diabetes-related GRS are associated with residual beta cell function in individuals with type 1 diabetes. These findings suggest some genetic contribution to preservation of beta cell function.
目的/假设:使用遗传风险评分(GRS)可能有助于区分 1 型糖尿病和 2 型糖尿病,但对于 GRS 是否与诊断后疾病的严重程度或进展相关知之甚少。因此,我们测试了 GRS 是否与 1 型糖尿病患者的残余β细胞功能和血糖控制有关。
使用免疫芯片阵列和 TOPMed 对横断面队列(n=479,年龄 41.7±14.9 岁,糖尿病病程 16.0 年[IQR 6.0-29.0],HbA 55.6±12.2mmol/mol)进行基因分型。计算了几种最初用于评估 1 型糖尿病(GRS-1、GRS-2)和 2 型糖尿病(GRS-T2D)遗传风险的 GRS。GRS-C1 和 GRS-C2 基于先前显示与残余β细胞功能相关的 SNPs。使用回归模型研究 GRS 与残余β细胞功能(使用尿 C 肽/肌酐比评估)之间的关系,以及 GRS 与连续血糖监测指标之间的关系。
较高的 GRS-1 和 GRS-2 均与无法检测到的 UCPCR 显著相关(OR 0.78;95%CI 0.69,0.89 和 OR 0.84:95%CI 0.75,0.93),校正性别和发病年龄(GRS-2)和疾病持续时间(GRS-1)后有所减弱。较高的 GRS-C2 与校正性别和发病年龄后可检测到的尿 C 肽/肌酐比(≥0.01nmol/mmol)相关(OR 6.95;95%CI 1.19,40.75)。较高的 GRS-T2D 与 TBR (OR <4%,1.41;95%CI 1.01 至 1.96)和葡萄糖变异系数(β -1.53;95%CI -2.76,-0.29)较低有关。
结论/解释:与糖尿病相关的 GRS 与 1 型糖尿病患者的残余β细胞功能相关。这些发现表明遗传因素对β细胞功能的维持有一定的贡献。