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血浆蛋白与蛋白比率和2型糖尿病及其并发症之间的因果关系:蛋白质组学孟德尔随机化研究

The causal relationship between plasma protein-to-protein ratios and type 2 diabetes and its complications: Proteomics mendelian randomization study.

作者信息

Zhang Yue-Yang, Chen Bing-Xue, Yang Qin, Wan Qin

机构信息

Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China.

Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, China.

出版信息

Diabetes Obes Metab. 2024 Oct;26(10):4410-4417. doi: 10.1111/dom.15792. Epub 2024 Jul 18.

Abstract

AIM

In recent years, proteomics research has surged, with numerous observational studies identifying associations between plasma proteins and type 2 diabetes. However, research specifically focusing on the ratios of plasma proteins in type 2 diabetes remains relatively scarce.

METHODS

This study primarily employed a two-sample, two-step Mendelian randomization (MR) approach, leveraging genetic data from several large, publicly accessible genome-wide association studies, wherein single nucleotide polymorphisms served as proxies for exposures and diseases. Within this framework, we applied two-sample MR to assess the associations between the 2821 plasma protein-to-protein ratios and type 2 diabetes along with its complications and utilized reverse MR to confirm the unidirectionality of these causal relationships. In addition, we employed two-step MR to investigate the potential mediating role of body mass index in these associations. To augment the robustness of our findings, we systematically implemented a series of sensitivity analyses.

RESULTS

The results gleaned from the inverse-variance weighted method elucidated that a cumulative sum of 23 protein-to-protein ratios bore a causal nexus with type 2 diabetes across both sample cohorts. With each incremental elevation of 1 standard deviation in the genetically anticipated protein-to-protein ratio, the susceptibility to type 2 diabetes oscillated from 0.93 (95% confidence interval: 0.87, 1.00) for the CNTN3/NCSS1 protein level ratio to 1.13 (1.06, 1.22) for the DBNL/NCK2 protein level ratio. Moreover, a tally of eight protein-to-protein ratios correlated with a minimum of one complication linked to type 2 diabetes. Diverse sensitivity analyses corroborated the robustness of these observations.

CONCLUSIONS

The outcomes of our investigation unveiled correlations between 23 plasma protein-to-protein ratios and type 2 diabetes, with eight of these ratios entwined with complications of type 2 diabetes. These discoveries offer novel perspectives on the diagnosis and management of type 2 diabetes and its associated complications.

摘要

目的

近年来,蛋白质组学研究蓬勃发展,众多观察性研究已确定血浆蛋白与2型糖尿病之间的关联。然而,专门针对2型糖尿病患者血浆蛋白比例的研究仍然相对较少。

方法

本研究主要采用两样本、两步孟德尔随机化(MR)方法,利用来自几个大型、公开可用的全基因组关联研究的遗传数据,其中单核苷酸多态性作为暴露和疾病的代理。在此框架内,我们应用两样本MR来评估2821种血浆蛋白与蛋白比例与2型糖尿病及其并发症之间的关联,并利用反向MR来确认这些因果关系的单向性。此外,我们采用两步MR来研究体重指数在这些关联中的潜在中介作用。为了增强研究结果的稳健性,我们系统地进行了一系列敏感性分析。

结果

从逆方差加权法得出的结果表明,在两个样本队列中,共有23种蛋白与蛋白比例与2型糖尿病存在因果关系。在基因预测的蛋白与蛋白比例每增加1个标准差时,2型糖尿病的易感性从CNTN3/NCSS1蛋白水平比例的0.93(95%置信区间:0.87,1.00)到DBNL/NCK2蛋白水平比例的1.13(1.06,1.22)不等。此外,有8种蛋白与蛋白比例与至少一种2型糖尿病相关并发症存在关联。各种敏感性分析证实了这些观察结果的稳健性。

结论

我们的研究结果揭示了23种血浆蛋白与蛋白比例与2型糖尿病之间的相关性,其中8种比例与2型糖尿病并发症相关。这些发现为2型糖尿病及其相关并发症的诊断和管理提供了新的视角。

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