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Clinically Relevant Circulating Protein Biomarkers for Type 1 Diabetes: Evidence From a Two-Sample Mendelian Randomization Study
Diabetes Care ( IF 14.8 ) Pub Date : 2021-11-10 , DOI: 10.2337/dc21-1049
Nahid Yazdanpanah 1 , Mojgan Yazdanpanah 1 , Ye Wang 2 , Vincenzo Forgetta 2 , Michael Pollak 2, 3, 4 , Constantin Polychronakos 5, 6, 7 , J Brent Richards 2, 3, 6, 8, 9 , Despoina Manousaki 1, 10
Affiliation  

OBJECTIVE

To identify circulating proteins influencing type 1 diabetes susceptibility using Mendelian randomization (MR).

RESEARCH DESIGN AND METHODS

We used a large-scale two-sample MR study, using cis genetic determinants (protein quantitative trait loci [pQTL]) of up to 1,611 circulating proteins from five large genome-wide association studies, to screen for causal associations of these proteins with type 1 diabetes risk in 9,684 case subjects with type 1 diabetes and 15,743 control subjects. Further, pleiotropy-robust MR methods were used in sensitivity analyses using both cis and trans-pQTL.

RESULTS

We found that a genetically predicted SD increase in signal regulatory protein (SIRPG) level was associated with increased risk of type 1 diabetes risk (MR odds ratio [OR] 1.66 [95% 1.36–2.03]; P = 7.1 x 10–7). The risk of type 1 diabetes increased almost twofold per genetically predicted standard deviation (SD) increase in interleukin-27 Epstein-Barr virus–induced 3 (IL27-EBI3) protein levels (MR OR 1.97 [95% CI 1.48–2.62]; P = 3.7 x 10–6). However, an SD increase in chymotrypsinogen B1 (CTRB1) was associated with decreased risk of type 1 diabetes (MR OR 0.84 [95% CI 0.77–0.90]; P = 6.1 x 10–6). Sensitivity analyses using MR methods testing for pleiotropy while including trans-pQTL showed similar results. While the MR-Egger suggested no pleotropic effect (P value MR-Egger intercept = 0.31), there was evidence of pleiotropy in MR-PRESSO (P value global test = 0.006).

CONCLUSIONS

We identified three novel circulating protein biomarkers associated with type 1 diabetes risk using an MR approach. These biomarkers are promising targets for development of drugs and/or of screening tools for early prediction of type 1 diabetes.



中文翻译:

1 型糖尿病临床相关循环蛋白生物标志物:来自两样本孟德尔随机研究的证据

客观的

使用孟德尔随机化 (MR) 识别影响 1 型糖尿病易感性的循环蛋白。

研究设计与方法

我们使用了一项大规模的两样本 MR 研究,使用来自五个大型全基因组关联研究的多达 1,611 个循环蛋白质的顺式遗传决定因素(蛋白质数量性状基因座 [pQTL])来筛选这些蛋白质与类型的因果关联9,684 名 1 型糖尿病病例和 15,743 名对照受试者的 1 糖尿病风险。此外,多效性强的 MR 方法用于敏感性分析,同时使用cistrans -pQTL。

结果

我们发现,遗传预测的信号调节蛋白 (SIRPG) 水平的 SD 增加与 1 型糖尿病风险增加相关(MR 优势比 [OR] 1.66 [95% 1.36–2.03];P = 7.1 x 10–7 ) . 白细胞介素 27 Epstein-Barr 病毒诱导的 3 (IL27-EBI3) 蛋白水平每增加一个基因预测的标准差 (SD),1 型糖尿病的风险就会增加近两倍(MR OR 1.97 [95% CI 1.48–2.62];P = 3.7 x 10 –6 )。然而,胰凝乳蛋白酶原 B1 ( CTRB1 ) 的 SD 增加与 1 型糖尿病风险降低相关(MR OR 0.84 [95% CI 0.77–0.90];P = 6.1 x 10–6)。使用 MR 方法测试多效性同时包括反式-pQTL 的敏感性分析显示出类似的结果。虽然 MR-Egger 表明没有多效性(P值 MR-Egger 截距 = 0.31),但在 MR-PRESSO 中存在多效性证据(P值全局检验 = 0.006)。

结论

我们使用 MR 方法确定了三种与 1 型糖尿病风险相关的新型循环蛋白生物标志物。这些生物标志物是开发用于早期预测 1 型糖尿病的药物和/或筛选工具的有希望的目标。

更新日期:2021-11-11
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