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探索炎性细胞因子与重症肌无力之间的因果关系:一项双向孟德尔随机化研究。

Exploring the causal relationship between inflammatory cytokines and myasthenia gravis: A two-way Mendelian randomization study.

作者信息

Li Jing-Yu, Ling Yan-Jun, Bao Wen-Hui, Zhang Wen-Na, Han Xin-Miao, Zheng Xiao-Chen, Zhao Qi

机构信息

First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China; National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China; Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Key Laboratory of Stem Cells and Tissue Engineering (Ministry of Education), Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.

出版信息

Cytokine. 2025 Feb;186:156843. doi: 10.1016/j.cyto.2024.156843. Epub 2024 Dec 30.

Abstract

BACKGROUND

Based on previous research, it is well-established that myasthenia gravis (MG) is linked to chronic inflammation. However, the exact nature of the relationship between inflammatory factors and the development of MG remains unclear. Consequently, the objective of this study is to explore whether alterations in the levels of inflammatory factors, as influenced by genetic factors, are associated with the occurrence of MG. This will be achieved through a two-sample Mendelian randomization (MR) analysis.

METHODS

We conducted a bidirectional Mendelian randomization (MR) study utilizing genetic data from genome-wide association studies (GWAS), encompassing 1873 MG cases and 36,370 individuals of European ancestry as controls. Data on inflammatory cytokines were obtained from GWAS data of 8293, healthy participants. The inverse variance-weighted (IVW) method was primarily employed to investigate the causal relationship between exposure and outcome. Additionally, various sensitivity analysis methods such as MR-Egger, weighted median, simple mode, weighted mode, and MR-PRESSO were applied to strengthen the reliability of the results. Through these rigorous approaches, we extensively examined the relationship between inflammatory factors and MG; however, further research is required to establish the specific causal relationship.

RESULTS

After applying Bonferroni correction, the genetic predictions revealed a significant correlation between Monokine induced by gamma interferon (MIG) and MG (OR: 1.09, 95 % CI: 1.04-1.14; P = 0.0006). Furthermore, there were preliminary findings indicating a positive genetic association between Eotaxin and interleukin-2 receptor antagonist (IL-2ra) with MG (OR: 0.81, 95 % CI: 0.66-0.99, P = 0.044; OR: 0.80, 95 % CI: 0.68-0.94, P = 0.008). Reverse MR analysis provided initial evidence of associations between MIP1α, GROa, IL-13, TRAIL, IL-2ra, and IL-1ra with the development of MG. No indications of pleiotropy or heterogeneity among genetic variants were observed (P > 0.05).

CONCLUSION

This study uncovers a new connection between inflammatory cytokines and MG, shedding light on potential factors contributing to the development of the disease. Elevated levels of Eotaxin and IL-2ra are associated with a higher risk of MG, while indicating that MIG, MIP1α, GROa, IL-13, TRAIL, IL-2ra, and IL-1ra may be elevated as a result of MG, Especially MIG. These findings suggest that targeting and regulating specific inflammatory factors could offer promising avenues for the treatment and prevention of MG.

摘要

背景

基于先前的研究,重症肌无力(MG)与慢性炎症之间的联系已得到充分证实。然而,炎症因子与MG发生发展之间关系的确切性质仍不清楚。因此,本研究的目的是探讨受遗传因素影响的炎症因子水平变化是否与MG的发生有关。这将通过两样本孟德尔随机化(MR)分析来实现。

方法

我们利用全基因组关联研究(GWAS)的遗传数据进行了一项双向孟德尔随机化(MR)研究,其中包括1873例MG病例和36370名欧洲血统个体作为对照。炎症细胞因子的数据来自8293名健康参与者的GWAS数据。主要采用逆方差加权(IVW)方法来研究暴露与结局之间的因果关系。此外,还应用了多种敏感性分析方法,如MR-Egger、加权中位数、简单模式、加权模式和MR-PRESSO,以加强结果的可靠性。通过这些严谨的方法,我们广泛研究了炎症因子与MG之间的关系;然而,需要进一步研究来确定具体的因果关系。

结果

应用Bonferroni校正后,基因预测显示γ干扰素诱导的单核因子(MIG)与MG之间存在显著相关性(OR:1.09,95%CI:1.04-1.14;P=0.0006)。此外,有初步研究结果表明,嗜酸性粒细胞趋化因子和白细胞介素-2受体拮抗剂(IL-2ra)与MG存在正基因关联(OR:0.81,95%CI:0.66-0.99,P=0.044;OR:0.80,95%CI:0.68-0.94,P=0.008)。反向MR分析为MIP1α、GROa、IL-13、肿瘤坏死因子相关凋亡诱导配体(TRAIL)、IL-2ra和IL-1ra与MG发生发展之间的关联提供了初步证据。未观察到基因变异之间存在多效性或异质性的迹象(P>0.05)。

结论

本研究揭示了炎症细胞因子与MG之间的新联系,为该疾病发生发展的潜在因素提供了线索。嗜酸性粒细胞趋化因子和IL-2ra水平升高与MG风险较高相关,同时表明MIG、MIP1α、GROa、IL-13、TRAIL、IL-2ra和IL-1ra可能因MG而升高,尤其是MIG。这些发现表明,靶向和调节特定的炎症因子可能为MG的治疗和预防提供有前景的途径。

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