网络孟德尔随机分析破解了连接 2 型糖尿病和胃肠道疾病的蛋白质通路。

IF 5.4 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Diabetes, Obesity & Metabolism Pub Date : 2025-02-01 Epub Date: 2024-11-26 DOI:10.1111/dom.16087
Jiawei Geng, Xixian Ruan, Xing Wu, Xuejie Chen, Tian Fu, Dipender Gill, Stephen Burgess, Jie Chen, Jonas F Ludvigsson, Susanna C Larsson, Xue Li, Zhongyan Du, Shuai Yuan
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引用次数: 0

摘要

目的:2型糖尿病(T2D)与胃肠道疾病相关的分子机制尚不清楚。为了确定蛋白质通路,我们进行了两阶段网络孟德尔随机化(MR)研究:T2D的遗传工具来自于大规模汇总级全基因组荟萃分析。与血蛋白水平有关的遗传关联来自三项血浆蛋白全基因组关联研究(即作为发现的 deCODE 研究和作为复制的 UKB-PPP 和 Fenland 研究)。有关 10 种消化道疾病的摘要级数据来自英国生物库和芬兰基因组的全基因组荟萃分析。根据总效应和间接效应的方向性构建通路,并估算相应的比例中介。在四个数据库中进行了可药性评估,以确定蛋白质介导因子的优先次序:结果:经多重检验校正后,发现蛋白质数据集中的 69 种蛋白质与 T2D 遗传相关。所有关联都在名义显著性水平上得到了重复。在与 T2D 相关的蛋白质中,9 种蛋白质的基因预测水平与至少一种消化道疾病相关。SULT2A1(几率比=1.98,95% CI 1.80-2.18)和ADH1B(几率比=2.05,95% CI 1.43-2.94)的基因预测水平分别与胆石症和肝硬化有关。SULT2A1与胆石症(PH4 = 0.996)和ADH1B与肝硬化(PH4 = 0.931)具有很强的共定位支持,分别占72.8%(95% CI 45.7-99.9)和42.9%(95% CI 15.5-70.4)的中介比例:该研究发现了一些介导 T2D-GI 疾病关联的蛋白质,为了解潜在的通路提供了生物学启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Mendelian randomisation analysis deciphers protein pathways linking type 2 diabetes and gastrointestinal disease.

Aims: The molecular mechanisms underlying the association between type 2 diabetes (T2D) and gastrointestinal (GI) disease are unclear. To identify protein pathways, we conducted a two-stage network Mendelian randomisation (MR) study.

Materials and methods: Genetic instruments for T2D were obtained from a large-scale summary-level genome-wide meta-analysis. Genetic associations with blood protein levels were obtained from three genome-wide association studies on plasma proteins (i.e. the deCODE study as the discovery and the UKB-PPP and Fenland studies as the replication). Summary-level data on 10 GI diseases were derived from genome-wide meta-analysis of the UK Biobank and FinnGen. MR and colocalisation analyses were performed. Pathways were constructed according to the directionality of total and indirect effects, and corresponding proportional mediation was estimated. Druggability assessments were conducted across four databases to prioritise protein mediators.

Results: Genetic liability to T2D was associated with 69 proteins in the discovery protein dataset after multiple testing corrections. All associations were replicated at the nominal significance level. Among T2D-associated proteins, genetically predicted levels of nine proteins were associated with at least one of the GI diseases. Genetically predicted levels of SULT2A1 (odds ratio = 1.98, 95% CI 1.80-2.18), and ADH1B (odds ratio = 2.05, 95% CI 1.43-2.94) were associated with cholelithiasis and cirrhosis respectively. SULT2A1 and cholelithiasis (PH4 = 0.996) and ADH1B and cirrhosis (PH4 = 0.931) have strong colocalisation support, accounting for the mediation proportion of 72.8% (95% CI 45.7-99.9) and 42.9% (95% CI 15.5-70.4) respectively.

Conclusions: The study identified some proteins mediating T2D-GI disease associations, which provided biological insights into the underlying pathways.

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来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
期刊介绍: Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.
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