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剖析免疫表型在脑脑膜瘤风险中的因果作用:一项孟德尔随机化研究。

Dissecting the causal role of immunophenotypes in brain meningioma risk: A Mendelian randomization study.

作者信息

Zhu Xiaoyang, Wang Yan, Liu Zhiyuan, Zhang Xin, Zhang Shuaiqi, Pang Bo, Zhu Shu

机构信息

Binzhou Medicine University, Yantai, Shandong Province, China.

Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, Shandong Province, China.

出版信息

Medicine (Baltimore). 2025 May 30;104(22):e42678. doi: 10.1097/MD.0000000000042678.

DOI:10.1097/MD.0000000000042678
PMID:40441235
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12129537/
Abstract

Meningiomas are primarily benign brain tumors that, despite their typically slow growth, often cause significant health issues due to their location. Emerging immunotherapy approaches have sparked optimism regarding treatment outcomes for patients. We conducted a comprehensive Mendelian randomization (MR) analysis, utilizing 731 immune cell phenotypes to explore causal relationships with Brain Meningioma. We employed inverse variance weighted as the primary analysis method, MR-Egger and Maximum likelihood as secondary methods, and Weighted median, Weighted mode, and Simple mode as supplementary methods to ascertain causal links. Additionally, we performed sensitivity tests including heterogeneity tests, pleiotropy tests, reverse MR, leave-one-out analysis, and MR-PRESSO to ensure result robustness. Our study identified potential causal relationships of 7 immune phenotypes with Brain Meningioma, comprising 2 risk factors and 5 protective factors. Specifically, B cell-related phenotypes included CD20 on IgD - CD24 - B cell (P = .048, OR = 1.094, 95% CI = 1.001 - 1.196), CD38 on IgD - CD38 + B cell (P = .004, OR = 0.949, 95% CI = 0.915 - 0.984), and CD38 on IgD - CD38dim B cell (P = .02, OR = 1.073, 95% CI = 1.011 - 1.140). T cell-related phenotypes included Activated CD4 regulatory T cell %CD4 + T cell (P = .013, OR = 0.885, 95% CI = 0.804 - 0.974) and CD25++ CD45RA - CD4 not regulatory T cell %CD4 + T cell (P = .004, OR = 0.905, 95% CI = 0.846 - 0.969). Monocyte-related phenotypes included CD39 on monocyte (P = .022, OR = 0.948, 95% CI = 0.905 - 0.992), and dendritic cell-related phenotype included CD86 + myeloid dendritic cell absolute count (P = .01, OR = 0.914, 95% CI = 0.853 - 0.979).

摘要

脑膜瘤主要是良性脑肿瘤,尽管其生长通常缓慢,但由于其位置常常会导致严重的健康问题。新兴的免疫疗法引发了人们对患者治疗结果的乐观情绪。我们进行了一项全面的孟德尔随机化(MR)分析,并利用731种免疫细胞表型来探索与脑脑膜瘤的因果关系。我们采用逆方差加权作为主要分析方法,MR-Egger和最大似然法作为次要方法,以及加权中位数、加权众数和简单众数作为补充方法来确定因果联系。此外,我们进行了敏感性测试,包括异质性测试、多效性测试、反向MR、留一法分析和MR-PRESSO,以确保结果的稳健性。我们的研究确定了7种免疫表型与脑脑膜瘤之间的潜在因果关系,包括2个危险因素和5个保护因素。具体而言,与B细胞相关的表型包括IgD-CD24-B细胞上的CD20(P = 0.048,OR = 1.094,95%CI = 1.001-1.196)、IgD-CD38+B细胞上的CD38(P = 0.004,OR = 0.949,95%CI = 0.915-0.984)以及IgD-CD38dim B细胞上的CD38(P = 0.02,OR = 1.073,95%CI = 1.011-1.140)。与T细胞相关的表型包括活化的CD4调节性T细胞占CD4+T细胞的百分比(P = 0.013,OR = 0.885,95%CI = 0.804-0.974)以及CD25++CD45RA-CD4非调节性T细胞占CD4+T细胞的百分比(P = 0.004,OR = 0.905,95%CI = 0.846-0.969)。与单核细胞相关的表型包括单核细胞上的CD39(P = 0.022,OR = 0.948,95%CI = 0.905-0.992),与树突状细胞相关的表型包括CD86+髓样树突状细胞绝对计数(P = 0.01,OR = 0.914,95%CI = 0.853-0.979)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/12129537/3f927fec9ff5/medi-104-e42678-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/12129537/44af4f96bf45/medi-104-e42678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/12129537/3f927fec9ff5/medi-104-e42678-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/12129537/44af4f96bf45/medi-104-e42678-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/12129537/3f927fec9ff5/medi-104-e42678-g002.jpg

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本文引用的文献

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The role of monocytes and macrophages in idiopathic inflammatory myopathies: insights into pathogenesis and potential targets.单核细胞和巨噬细胞在特发性炎性肌病中的作用:对发病机制和潜在靶点的见解
Front Immunol. 2025 Mar 20;16:1567833. doi: 10.3389/fimmu.2025.1567833. eCollection 2025.
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Meningioma: Novel Diagnostic and Therapeutic Approaches.
脑膜瘤:新型诊断与治疗方法
Biomedicines. 2025 Mar 7;13(3):659. doi: 10.3390/biomedicines13030659.
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Regulatory T Cell Metabolism: A Promising Therapeutic Target for Cancer Treatment?调节性T细胞代谢:癌症治疗中一个有前景的治疗靶点?
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