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肠道微生物组、炎症细胞因子与帕金森病之间因果关系的剖析:一项孟德尔随机化研究。

Dissecting Causal Links Between Gut Microbiota, Inflammatory Cytokines, and Parkinson's Disease: A Mendelian Randomization Study.

机构信息

Anhui Engineering Research Center for Neural Regeneration Technology and Medical New Materials, Bengbu Medical University, Bengbu, China.

Department of Physical Education and Arts, Bengbu Medical University, Bengbu, China.

出版信息

Brain Behav. 2024 Nov;14(11):e70169. doi: 10.1002/brb3.70169.

Abstract

BACKGROUND

The association between gut microbiota (GM) and Parkinson's disease (PD) has been well established, but whether there is a causal relationship between the two and whether inflammatory cytokines (ICs) act as mediators remain unclear.

METHODS

We utilized the summary databases of large-scale genome-wide association studies (GWAS) conducting Mendelian randomization (MR) analyses to investigate the causal relationships between GM, ICs, and PD. The inverse-variance weighted (IVW) method was primarily used to identify GM and ICs associated with PD and to examine the mediating role of ICs, supplemented by MR Egger and weighted median.

RESULTS

Through MR analysis, we identified three positive causal relationships and six negative causal relationships between GM and PD. Additionally, there were three positive associations and five negative associations between ICs and PD. However, after adjusting for FDR, none of these associations were significant. In reverse MR analysis, we also found causal relationships between PD and various GM and ICs. Further, two-step MR analysis indicated that the negative impact of phylum Actinobacteria on PD may be mediated through Fms-related tyrosine kinase 3 ligand levels.

CONCLUSION

This study strengthens the link between GM and the risk of PD, while also revealing the potential mediating role of ICs in the causal relationships between these factors.

摘要

背景

肠道微生物群(GM)与帕金森病(PD)之间的关联已得到充分证实,但两者之间是否存在因果关系,以及炎症细胞因子(ICs)是否作为介质仍然不清楚。

方法

我们利用大规模全基因组关联研究(GWAS)的汇总数据库进行孟德尔随机化(MR)分析,以研究 GM、ICs 与 PD 之间的因果关系。主要使用逆方差加权(IVW)方法来识别与 PD 相关的 GM 和 ICs,并检验 ICs 的中介作用,辅之以 MR Egger 和加权中位数。

结果

通过 MR 分析,我们确定了 GM 与 PD 之间存在三个正相关的因果关系和六个负相关的因果关系。此外,ICs 与 PD 之间也存在三个正相关和五个负相关的关联。然而,经过 FDR 调整后,这些关联均不显著。在反向 MR 分析中,我们还发现了 PD 与各种 GM 和 ICs 之间的因果关系。此外,两步 MR 分析表明,厚壁菌门对 PD 的负面影响可能通过 Fms 相关酪氨酸激酶 3 配体水平介导。

结论

本研究加强了 GM 与 PD 风险之间的联系,同时揭示了 ICs 在这些因素之间的因果关系中可能发挥的中介作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93db/11603428/6b878d0c7be5/BRB3-14-e70169-g004.jpg

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