循环血浆蛋白对骨质疏松的因果效应和中介途径:一项两样本两步孟德尔随机研究。

IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Han Wang, Wenchao Zhou, Yizhuan Huang, Yan Li, Kun Zhang
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引用次数: 0

摘要

本研究采用两样本两步孟德尔随机化(MR)方法,揭示了特定循环血浆蛋白与骨质疏松症风险之间的因果关系,并进一步确定了介导上游UKB血浆蛋白影响的关键deCODE Genetics血浆蛋白(在不同人群中测量并使用独立的蛋白质组学平台)。值得注意的是,NT5C、GREM1、BOLA1和CCL19等蛋白被发现部分介导上游UKB血浆蛋白对骨骼健康的影响。这些发现揭示了骨质疏松症背后的多层蛋白调控网络,并为治疗干预提供了潜在的靶点。骨质疏松症是一种多因素骨骼疾病,其特征是骨密度降低和骨折风险增加。循环血浆蛋白正在成为骨代谢的潜在介质,但其在骨质疏松症中的因果作用和蛋白间调节机制尚不清楚。方法:我们使用来自UK Biobank Pharma Proteomics Project (UKB; n = 54,219)和deCODE Genetics (n = 35,559)的蛋白质定量性状位点(pQTL)数据进行了一项全面的两样本MR研究,分别研究了2,923和4,907种血浆蛋白与骨质疏松症风险的因果关系(10,461例,对照来自FinnGen的473,264例)。进一步应用两步磁共振框架来评估deCODE血浆蛋白是否介导UKB蛋白对骨质疏松症的影响。因果估计采用逆方差加权法(IVW)作为主要方法,并进行敏感性分析,包括MR-Egger、MR-PRESSO和留一检验。结果:83种UKB血浆蛋白与骨质疏松症有因果关系(FDR < 0.01),包括已知的调节因子(如GALNT3、IL18、IL7R)和新的候选因子(如NUDT2、SMOC2)。7种deCODE蛋白也显示出显著的影响,包括grem1、PRRG4、NT5C和CCL19。两步MR分析显示,NT5C、BOLA1、GREM1和CCL19显著介导上游UKB蛋白对骨质疏松的影响,介导比例在3.93% ~ 17.95%之间,支持多层次的蛋白-蛋白因果通路。结论:本研究系统地确定了与骨质疏松症有因果关系的循环血浆蛋白,并强调了介导这些影响的关键中介。我们的发现为骨代谢中蛋白质介导的调节网络提供了新的见解,并为未来的治疗干预提供了有希望的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Causal effects and mediation pathways of circulating plasma proteins on osteoporosis: a two-sample and two-step Mendelian randomization study.

Causal effects and mediation pathways of circulating plasma proteins on osteoporosis: a two-sample and two-step Mendelian randomization study.

Causal effects and mediation pathways of circulating plasma proteins on osteoporosis: a two-sample and two-step Mendelian randomization study.

Causal effects and mediation pathways of circulating plasma proteins on osteoporosis: a two-sample and two-step Mendelian randomization study.

This study, using a two-sample and two-step Mendelian randomization (MR) approach, reveals a causal relationship between specific circulating plasma proteins and osteoporosis risk, and further identifies key deCODE Genetics plasma proteins (measured in a different population and using an independent proteomic platform) mediating the effects of upstream UKB plasma proteins.Notably, proteins such as NT5C, GREM1, BOLA1, and CCL19 were found to partially mediate the effects of upstream UKB plasma proteins on bone health. These findings shed light on a multi-tiered protein regulatory network underlying osteoporosis and provide potential targets for therapeutic intervention.

Introduction: Osteoporosis is a multifactorial skeletal disorder characterized by reduced bone mineral density (BMD) and increased fracture risk. Circulating plasma proteins are emerging as potential mediators of bone metabolism, yet their causal roles and inter-protein regulatory mechanisms in osteoporosis remain unclear.

Methods: We conducted a comprehensive two-sample MR study using protein quantitative trait loci (pQTL) data from the UK Biobank Pharma Proteomics Project (UKB; n = 54,219) and deCODE Genetics (n = 35,559) to investigate the causal effects of 2,923 and 4,907 plasma proteins, respectively, on osteoporosis risk (10,461 cases, 473,264 controls from FinnGen). A two-step MR framework was further applied to assess whether deCODE plasma proteins mediated the effects of UKB proteins on osteoporosis. Causal estimates were derived using inverse variance weighted (IVW) as the primary method, with additional sensitivity analyses including MR-Egger, MR-PRESSO, and leave-one-out tests.

Results: Eighty-three UKB plasma proteins were causally associated with osteoporosis (FDR < 0.01), including known regulators (e.g.,GALNT3, IL18, IL7R) and novel candidates (e.g., NUDT2,SMOC2). Seven deCODE proteins also showed significant effects, includingGREM1, PRRG4, NT5C, and CCL19. Two-step MR analyses revealed that NT5C, BOLA1, GREM1, and CCL19 significantly mediated the effects of upstream UKB proteins on osteoporosis, with mediation proportions ranging from 3.93% to 17.95%, supporting multi-tiered protein-to-protein causal pathways.

Conclusion: This study systematically identifies circulating plasma proteins with causal effects on osteoporosis and highlights key intermediaries mediating these effects. Our findings provide novel insights into protein-mediated regulatory networks in bone metabolism and offer promising targets for future therapeutic interventions.

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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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