Lin Wenjian, Liang Zixin, Fang Junxuan, Liu Yu, Lei Lei, Lin Jiawen, Xia Bin, Zheng Zhihua, Yuan Jingqiu, Tang Chun
Department of Nephrology, Center of Kidney and Urology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China.
Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen 518107, China.
Biomedicines. 2025 Jun 6;13(6):1397. doi: 10.3390/biomedicines13061397.
Population differences in gut microbiota composition and related metabolites may influence their potential causal relationship with chronic kidney disease (CKD); however, this relationship remains poorly understood in the Chinese population. We conducted a two-sample Mendelian randomization (MR) study using summary statistics of 500 gut microbial features (9 phyla, 3 classes, 14 orders, 32 families, 95 genera, 248 species, and 99 gut metabolic modules (GMMs)) from the 4D-SZ (from Shenzhen, China) discovery cohort (n = 1539). CKD summary statistics were obtained from the China Kadoorie Biobank (CKB) (489 cases and 75,531 controls). Associations between gut microbiota and CKD were evaluated via inverse variance weighted, MR-Egger, weighted median, and MR-PRESSO. To validate our findings, we replicated the analyses in two independent East Asian CKD GWAS datasets: the Biobank of Japan (BBJ) dataset (2117 cases and 174,345 controls) and the J-Kidney-Biobank (JKB) dataset (382 cases and 3471 controls). We further validated the results via a meta-GWAS of BUN and eGFR in Biobank Japan (BBJ) and the Taiwan Biobank (TWB). Additionally, we analyzed 304 serum proteins from the Guangzhou Nutrition and Health Study (GNHS) and conducted mediation MR analyses to explore potential mediators. At the locus-wide significance threshold, we identified 18 gut microbiome features associated with CKD onset in the China Kadoorie Biobank (CKB). Genus (OR 1.02, 95% CI 1.00-1.03, = 0.03) was associated with incident CKD risk in the JKB cohort. Species - complex (OR 1.0074, 95% CI 1.0070-1.0142, = 0.01) was associated with incident CKD risk in a meta-GWAS of BUN. Sensitivity analyses, including Cochran's Q test, MR-Egger intercept analysis, leave-one-out analysis, and funnel plots, yielded consistent results. Mediation analysis revealed that 26.7% (95% CI: 0.006-0.6700, = 0.04) of the effect of on CKD risk was mediated through the serum protein FBLN1. Our study provides Mendelian randomization-based evidence supporting a potential causal relationship between gut microbiota and CKD, highlighting the potential mediating role of FBLN1 in the association between genus and CKD. Further studies are needed to explore whether and how genus and FBLN1 contribute to CKD development.
肠道微生物群组成及相关代谢产物的人群差异可能会影响其与慢性肾脏病(CKD)之间潜在的因果关系;然而,在中国人群中,这种关系仍知之甚少。我们利用来自中国深圳的4D-SZ发现队列(n = 1539)的500个肠道微生物特征(9个门、3个纲、14个目、32个科、95个属、248个种和99个肠道代谢模块(GMMs))的汇总统计数据,进行了一项两样本孟德尔随机化(MR)研究。CKD汇总统计数据来自中国嘉道理生物银行(CKB)(489例病例和75531例对照)。通过逆方差加权、MR-Egger、加权中位数和MR-PRESSO评估肠道微生物群与CKD之间的关联。为了验证我们的发现,我们在两个独立的东亚CKD全基因组关联研究(GWAS)数据集中重复了分析:日本生物银行(BBJ)数据集(2117例病例和174345例对照)和J-肾脏生物银行(JKB)数据集(382例病例和3471例对照)。我们通过对日本生物银行(BBJ)和台湾生物银行(TWB)的血尿素氮(BUN)和估算肾小球滤过率(eGFR)进行元GWAS进一步验证了结果。此外,我们分析了来自广州营养与健康研究(GNHS)的304种血清蛋白,并进行了中介MR分析以探索潜在的中介因素。在全基因组显著阈值水平,我们在中国嘉道理生物银行(CKB)中确定了18个与CKD发病相关的肠道微生物组特征。在JKB队列中,属(比值比1.02,95%置信区间1.00-1.03,P = 0.03)与CKD发病风险相关。种 - 复合体(比值比1.0074,95%置信区间1.0070-1.0142,P = 0.01)在BUN的元GWAS中与CKD发病风险相关。敏感性分析,包括Cochran's Q检验、MR-Egger截距分析、留一法分析和漏斗图分析,得出了一致的结果。中介分析显示,属对CKD风险的影响中有26.7%(95%置信区间:0.006-0.6700,P = 0.04)是通过血清蛋白FBLN1介导的。我们的研究提供了基于孟德尔随机化的证据,支持肠道微生物群与CKD之间的潜在因果关系,突出了FBLN1在属与CKD关联中的潜在中介作用。需要进一步研究来探索属和FBLN1是否以及如何促进CKD的发展。