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孟德尔随机化研究揭示了慢性肾脏病中肠道微生物群-免疫系统-肾脏连接轴。

Mendelian randomization study revealed a gut microbiota-immune system-kidney junction axis in chronic kidney disease.

作者信息

Tan Junjie, Xiong Zhile, Yu Shengyou, Lu Wei, Yu Li

机构信息

Department of Pediatrics, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong Province, China.

Department of Pediatrics, Qingyuan Maternal and Child Health Hospital, Qingyuan, 511510, Guangdong Province, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):21685. doi: 10.1038/s41598-025-05941-x.

Abstract

The alterations of the gut microbiome and cytokine profiles and an elevated risk has correlated with kidney disease progression. However, the causal relationship between gut microbiota and chronic kidney disease (CKD) or related kidney function, and whether cytokines and immune cells act as mediators, remains unclear. Using genome-wide association studies (GWAS) data for CKD, estimated glomerular filtration rate (eGFR) and UACR (urinary albumin to creatinine) from the CKDGen consortium, microbiome data from the MiBioGen consortium and the Dutch Microbiome Project (DMP), 41 cytokine and 731 immune cell traits were identified from large-scale GWAS summary data. We performed two-sample Mendelian randomization (MR) analysis to analyses the causal relationships between gut microbiome, circulating cytokines, immune cells and CKD, eGFR and UACR. In addition, we investigated whether cytokines and immune cells are the mediating factor in the pathway from gut microbiome to CKD, eGFR and UACR. We demonstrated the causal relationships between 8 gut microbiotas in MiBioGen and 8 gut microbiota and 6 metabolism pathways in DMP with CKD, 7 gut microbiotas in MiBioGen and 7 gut microbiota and 3 metabolism pathways with eGFR and 4 gut microbiotas in MiBioGen and 10 gut microbiota and 3 metabolism pathways in DMP with UACR. Additionally, we identified 25 cytokine and immune cell characteristics associated with CKD, 18 with eGFR and 22 with UACR. Importantly, we identified no cytokine, but several immune cell properties that mediate the effects of microbiome on CKD, eGFR and UACR through mediation MR analysis. For instance, Alistipes indistinctus and Alistipes putredinis affects CKD via CD28 + CD45RA + CD8 + T cell. The mediation effects highlighted the intricate relationship between gut microbiome exposure, immune cell activity, and their combined influence on CKD. This data supports a causal effect of the gut microbiome on CKD, eGFR and UACR and underscores the value of MR in clarifying causal relationships identified in microbiome-wide association studies. Circulating immune cells may act as mediators in the pathway linking gut microbiota to CKD progression.

摘要

肠道微生物群和细胞因子谱的改变以及风险升高与肾脏疾病进展相关。然而,肠道微生物群与慢性肾脏病(CKD)或相关肾功能之间的因果关系,以及细胞因子和免疫细胞是否作为介导因子,仍不清楚。利用CKDGen联盟的CKD全基因组关联研究(GWAS)数据、估计肾小球滤过率(eGFR)和尿白蛋白与肌酐比值(UACR)、MiBioGen联盟和荷兰微生物组计划(DMP)的微生物组数据,从大规模GWAS汇总数据中识别出41种细胞因子和731种免疫细胞特征。我们进行了两样本孟德尔随机化(MR)分析,以分析肠道微生物群、循环细胞因子、免疫细胞与CKD、eGFR和UACR之间的因果关系。此外,我们研究了细胞因子和免疫细胞是否是从肠道微生物群到CKD、eGFR和UACR的途径中的介导因子。我们证明了MiBioGen中的8种肠道微生物群以及DMP中的8种肠道微生物群和6种代谢途径与CKD之间的因果关系,MiBioGen中的7种肠道微生物群以及7种肠道微生物群和3种代谢途径与eGFR之间的因果关系,以及MiBioGen中的4种肠道微生物群以及DMP中的10种肠道微生物群和3种代谢途径与UACR之间的因果关系。此外,我们确定了25种与CKD相关的细胞因子和免疫细胞特征,18种与eGFR相关的特征,以及22种与UACR相关的特征。重要的是,通过中介MR分析,我们没有发现细胞因子,但发现了几种免疫细胞特性介导微生物群对CKD、eGFR和UACR的影响。例如,模糊艾利斯菌和腐败艾利斯菌通过CD28 + CD45RA + CD8 + T细胞影响CKD。中介效应突出了肠道微生物群暴露、免疫细胞活性及其对CKD的综合影响之间的复杂关系。这些数据支持肠道微生物群对CKD、eGFR和UACR的因果效应,并强调了MR在阐明微生物组全关联研究中确定的因果关系方面的价值。循环免疫细胞可能在将肠道微生物群与CKD进展联系起来的途径中充当介导因子。

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