肠道微生物群与甲状腺结节的因果关系:双向双样本孟德尔随机研究

Shaoshuai Yan, Jiawei He, Xudong Yu, Jianwei Shang, Yaosheng Zhang, Han Bai, Xingyu Zhu, Xiaoming Xie, Leanne Lee
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引用次数: 0

摘要

新的证据表明,甲状腺结节(TNs)发生后,肠道微生物群(GM)的组成会发生改变,但其中的因果关系仍不清楚。本研究利用孟德尔随机化(Mendelian Randomization,MR)技术,旨在阐明GM与TNs之间的因果动态关系。我们利用MiBioGen联盟(n=18,340)和FinnGen联盟(1,634例TNs病例,263,704例对照)的汇总统计数据,进行了单变量和多变量MR分析,以探讨GM与TNs之间的关联。在因果推断中采用了反方差加权、MR-Egger 回归、加权中位数和 MR-PRESSO 等技术。通过 Cochran's Q 统计量和遗漏分析评估了工具变量异质性。我们的研究结果表明,某些微生物群,如 Ruminococcaceae_NK4A214_group (OR,1.89;95%CI,0.47-7.64;p = 0.040)、Senegalimassilia(OR,1.72;95%CI,1.03-2.87;p = 0.037)、Lachnospiraceae(OR,0.64;95%CI,0.41-0.99;p = 0.045)等微生物群对 TNs 的发生具有保护作用,表现为负因果关系。相比之下,被归类为Desulfovibrionales(OR,0.63;95%CI,0.41-0.95;p =0.028)、Prevotella_7(OR,0.79;95%CI,0.63-1.00;p =0.049)、Faecalibacterium(OR,0.66;95%CI,0.44-1.00;p =0.050)、Desulfovibrionaceae(OR,0.55;95%CI,0.35-0.86;p =0.008)、Deltaproteobacteria(OR,0.65;95%CI,0.43-0.97;p =0.036)与TNs呈正相关,表明它们可能是风险因素。反向磁共振分析未发现明显的因果联系。在对混杂因素进行全面调整后,Desulfovibrionales(目)、Desulfovibrionaceae(科)、Deltaproteobacteria(类)等类群仍是导致TNs风险的潜在因素。研究结果主张将转基因概况纳入 TNs 的预防和管理中,为这一领域的未来研究奠定了基础。
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Causal relationship between gut microbiota and thyroid nodules: a bidirectional two-sample Mendelian randomization study
Emerging evidence suggests alterations in gut microbiota (GM) composition following thyroid nodules (TNs) development, yet the causal relationship remains unclear. Utilizing Mendelian Randomization (MR), this study aims to elucidate the causal dynamics between GM and TNs.Employing summary statistics from the MiBioGen consortium (n=18,340) and FinnGen consortium (1,634 TNs cases, 263,704 controls), we conducted univariable and multivariable MR analyses to explore the GM-TNs association. Techniques including inverse variance weighted, MR-Egger regression, weighted median, and MR-PRESSO were utilized for causal inference. Instrumental variable heterogeneity was assessed through Cochran’s Q statistic and leave-one-out analysis. Reverse MR was applied for taxa showing significant forward MR associations, with multivariate adjustments for confounders.Our findings suggest that certain microbiota, identified as Ruminococcaceae_NK4A214_group (OR, 1.89; 95%CI, 0.47-7.64; p = 0.040), Senegalimassilia (OR, 1.72; 95%CI, 1.03-2.87; p =0.037), Lachnospiraceae (OR,0.64; 95%CI,0.41-0.99; p =0.045), exhibit a protective influence against TNs’ development, indicated by negative causal associations. In contrast, microbiota categorized as Desulfovibrionales (OR, 0.63; 95%CI, 0.41-0.95; p =0.028), Prevotella_7 (OR, 0.79; 95%CI, 0.63-1.00; p =0.049), Faecalibacterium (OR, 0.66; 95%CI, 0.44-1.00; p =0.050), Desulfovibrionaceae (OR, 0.55; 95%CI, 0.35-0.86; p =0.008), Deltaproteobacteria (OR, 0.65; 95%CI, 0.43-0.97; p =0.036) are have a positive correlation with with TNs, suggesting they may serve as risk factors. Reverse MR analyses did not establish significant causal links. After comprehensive adjustment for confounders, taxa Desulfovibrionales (Order), Desulfovibrionaceae (Family), Deltaproteobacteria (Class) remain implicated as potential contributors to TNs’ risk.This study substantiates a significant causal link between GM composition and TNs development, underscoring the thyroid-gut axis’s relevance. The findings advocate for the integration of GM profiles in TNs’ prevention and management, offering a foundation for future research in this domain.
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