Wang Rongjiang, Jiang Mengting, Li Zhaojun, Xu Changbao, Liang Hui, Shen Junwen, Zhong Huan
The Department of Urology, The First Afliated Hospital of Huzhou Normal College, Zhejiang, China.
Huzhou Key Laboratory of Precise Diagnosis and Treatment of Urinary Tumors, Zhejiang, China.
J Cell Mol Med. 2025 Jul;29(14):e70698. doi: 10.1111/jcmm.70698.
This study aimed to elucidate the causal interplay between dietary habits, gut microbiota composition, circulating metabolites, serum proteins, laboratory biomarkers and kidney stone formation, employing Mendelian randomisation (MR) to identify potential mediators. A rigorous two-sample MR framework was employed to assess the causal associations between kidney stones and a spectrum of predisposing factors. This encompassed dietary patterns, gut microbiota profiles, circulating metabolic intermediates, serum proteins and laboratory test indicators. Significant associations were further analysed using mediation analysis to uncover indirect pathways. Initial significance was determined at p < 0.05, followed by the implementation of False Discovery Rate correction (FDR p < 0.05) to reduce the likelihood of false positives due to multiple comparisons. Direct causal relationships were established between kidney stones and 9 dietary factors (including fruit, alcohol, coffee intake), 11 gut microbiota types, 8 metabolites, 12 plasma proteins and 8 laboratory indicators (CRE, EGFR, CA, UAHDL, APOA, CYS and URNA). Notably, nine mediation pathways were discovered. These pathways reveal the indirect effects of dietary habits on kidney stone formation mediated through laboratory biomarkers. Specifically, five dietary habits-alcohol, coffee, fruit, champagne/white wine and dried fruit consumption-were shown to mediate through seven key factors: APOA, CA, CYS, EGFR, HDL, UA and URNA. Six of these mediations were positive, indicating facilitatory roles, while three exhibited negative mediation, suggestive of competitive inhibition in the diet-kidney stone causal pathway. This MR study underscored the causal links between dietary habits, gut microbiota composition, circulating metabolites, serum proteins, laboratory biomarkers and kidney stone development, shedding light on potential mediators including seven laboratory biomarkers.
本研究旨在阐明饮食习惯、肠道微生物群组成、循环代谢物、血清蛋白、实验室生物标志物与肾结石形成之间的因果相互作用,采用孟德尔随机化(MR)方法来识别潜在的介导因素。我们采用了严格的两样本MR框架来评估肾结石与一系列诱发因素之间的因果关联。这包括饮食模式、肠道微生物群谱、循环代谢中间体、血清蛋白和实验室检测指标。使用中介分析进一步分析显著关联,以揭示间接途径。初始显著性设定为p < 0.05,随后实施错误发现率校正(FDR p < 0.05),以降低多重比较导致假阳性的可能性。在肾结石与9种饮食因素(包括水果、酒精、咖啡摄入量)、11种肠道微生物群类型、8种代谢物、12种血浆蛋白和8种实验室指标(CRE、EGFR、CA、UAHDL、APOA、CYS和URN A)之间建立了直接因果关系。值得注意的是,发现了九条中介途径。这些途径揭示了饮食习惯通过实验室生物标志物对肾结石形成的间接影响。具体而言,五种饮食习惯——酒精、咖啡、水果、香槟/白葡萄酒和干果消费——被证明通过七个关键因素介导:APOA、CA、CYS、EGFR、HDL、UA和URN A。其中六种中介作用为正向,表明促进作用,而三种表现为负向中介,提示在饮食-肾结石因果途径中存在竞争性抑制。这项MR研究强调了饮食习惯、肠道微生物群组成、循环代谢物、血清蛋白、实验室生物标志物与肾结石发展之间的因果联系,揭示了包括七种实验室生物标志物在内的潜在介导因素。