遗传证据表明EBV感染与多发性骨髓瘤风险之间存在因果关系。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Jian Li, Rong Tan, Bing Yang, Changpu Du, Jie Tian, Zhu Yang, Dongxin Tang
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引用次数: 0

摘要

背景:以往的观察性研究表明,eb病毒(EBV)感染与多发性骨髓瘤(MM)的发展之间存在潜在的关联,但这种关系尚不清楚。因此,我们进行了系统的孟德尔随机化(MR)分析,以调查EBV感染与MM风险之间的因果关系,同时探索免疫细胞在这种关联中的可能介导作用。方法:该研究首先使用FinnGen联盟的MM R11数据集进行了两样本MR分析,以评估五种EBV感染相关抗体(AEB-IgG、EA-D、EBNA-1、VCA-p18和ZEBRA)与MM之间的因果关系,并在MM R10数据集中进行了验证。然后进行反向磁共振分析。对于显著的结果,采用多变量MR (MVMR)来调整混杂危险因素的影响。接下来,采用两步MR中介分析来研究731种免疫细胞类型在阳性暴露与MM之间的潜在中介作用。进行多重敏感性分析以评估结果的稳健性。结果:一项双样本MR研究发现ena -1抗体(OR = 1.36, 95% CI: 1.06-1.73;P = 0.015)与MM风险增加相关,在FinnGen Consortium R10重复研究中也观察到类似的结果。尽管在错误发现率(FDR)调整后(P_fdr = 0.075),相关性在统计学上没有保持显著性,但使用多变量MR (MVMR)进一步调整相关混杂因素表明,EBNA-1抗体(OR = 1.33, 95% CI: 1.01-1.75;P = 0.041)仍然与MM风险增加显著相关。反向MR分析显示MM对ebv相关抗体没有因果关系。一项涉及731种免疫细胞表型的两样本MR分析确定了27种潜在的介导细胞类型。最终,两步MR证实HLA-DR对髓系树突状细胞(HLA-DR + mDC)是一种介导因子,EBNA-1抗体下调HLA-DR + mDC,从而增加MM风险。多重敏感性分析支持这些发现的稳健性。结论:本研究结果提示ena -1抗体可能通过下调HLA-DR + mDC增加MM的风险。这表明慢性EBV感染可能会增加MM的风险,我们希望这些结果为未来MM的预防和治疗研究提供新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genetic evidence identifies a causal relationship between EBV infection and multiple myeloma risk.

Genetic evidence identifies a causal relationship between EBV infection and multiple myeloma risk.

Genetic evidence identifies a causal relationship between EBV infection and multiple myeloma risk.

Genetic evidence identifies a causal relationship between EBV infection and multiple myeloma risk.

Background: Previous observational studies have suggested a potential association between Epstein-Barr virus (EBV) infection and the development of multiple myeloma (MM), but this relationship is not clear. Therefore, we conducted a systematic Mendelian randomization (MR) analysis to investigate the causal relationship between EBV infection and the risk of MM, while exploring the possible mediating role of immune cells in this association.

Methods: The study first conducted a two-sample MR analysis using the MM R11 dataset from the FinnGen Consortium to evaluate the causal relationship between five EBV infection-related antibodies (AEB-IgG, EA-D, EBNA-1, VCA-p18, and ZEBRA) and MM, with validation in the MM R10 dataset. A reverse MR analysis was then performed. For significant results, multivariable MR (MVMR) was used to adjust for the effects of confounding risk factors. Next, a two-step MR mediation analysis was applied to investigate the potential mediating role of 731 immune cell types between positive exposure and MM. Multiple sensitivity analyses were conducted to assess the robustness of the findings.

Results: A two-sample MR study found that EBNA-1 antibodies (OR = 1.36, 95% CI: 1.06-1.73; P = 0.015) were associated with an increased risk of MM, with similar results observed in the FinnGen Consortium R10 replication study. Although the association did not remain statistically significant after false discovery rate (FDR) adjustment (P_fdr = 0.075), further adjustment for relevant confounders using multivariable MR (MVMR) demonstrated that EBNA-1 antibodies (OR = 1.33, 95% CI: 1.01-1.75; P = 0.041) were still significantly associated with an increased risk of MM. Reverse MR analysis indicated no causal effect of MM on EBV-related antibodies. A two-sample MR analysis involving 731 immune cell phenotypes identified 27 potential mediating cell types. Ultimately, two-step MR confirmed that HLA-DR on myeloid dendritic cells (HLA-DR⁺ mDC) serves as a mediating factor, with EBNA-1 antibodies downregulating HLA-DR⁺ mDC, thereby increasing MM risk. Multiple sensitivity analyses supported the robustness of these findings.

Conclusion: The findings of this study suggest that EBNA-1 antibodies may increase the risk of MM by downregulating HLA-DR⁺ mDC. This indicates that chronic EBV infection may contribute to an elevated risk of MM. We hope these results provide new insights for future research on the prevention and treatment of MM.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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