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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (1): 121-130.doi: 10.19982/j.issn.1000-6621.20250292

• 论著 • 上一篇    下一篇

肠道菌群与非结核分枝杆菌肺感染的因果效应:一项双向两样本孟德尔随机化分析

谭霄1, 李芳萍1, 张谦2, 张美家1()   

  1. 1山东省潍坊市第二人民医院临床药学科,潍坊261041
    2内蒙古医科大学药学院,呼和浩特010110
  • 收稿日期:2025-07-17 出版日期:2026-01-10 发布日期:2025-12-31
  • 通信作者: 张美家 E-mail:meijia865@163.com
  • 基金资助:
    潍坊市卫生健康委科研项目(WFWSJK-2025-209);潍坊市科技发展计划项目(2025YX065)

Causal effects of gut microbiota on non-tuberculous mycobacterial lung infection: a bidirectional two-sample mendelian randomization study

Tan Xiao1, Li Fangping1, Zhang Qian2, Zhang Meijia1()   

  1. 1Clinical Pharmacy Department, Weifang NO.2 People’s Hospital, Shandong Province, Weifang 261041, China
    2College of Pharmacy, Inner Mongolia Medical University, Hohhot 010110, China
  • Received:2025-07-17 Online:2026-01-10 Published:2025-12-31
  • Contact: Zhang Meijia E-mail:meijia865@163.com
  • Supported by:
    Weifang Municipal Health Commission Research Project(WFWSJK-2025-209);Weifang Science and Technology Development Plan Project(2025YX065)

摘要:

目的: 评估肠道菌群与非结核分枝杆菌肺感染(non-tuberculous mycobacteria lung infection,NTM-LI)之间的因果方向。方法: 采用两样本双向孟德尔随机化(Mendelian randomization,MR)分析。肠道菌群与NTM-LI的全基因组关联研究汇总数据分别来自GWAS Catalog和芬兰数据库。工具变量筛选基于全基因组显著性、连锁不平衡分析和弱工具变量检验。主要使用逆方差加权法(IVW)评估因果效应,辅以MR-Egger、加权中位数、简单众数和加权众数法验证。通过Cochran Q、留一法、MR-Egger截距检验和MR-PRESSO评估异质性、敏感性和水平多效性。反向MR分析采用相同流程。结果: IVW分析显示,特定肠道菌群丰度变化与NTM-LI发病风险明显相关。其中,羊毛状臭气杆菌(OR=1.798,95%CI:1.017~3.180,P=0.044)、懒惰脱硫弧菌(OR=1.508,95%CI:1.069~2.128,P=0.019)及汉氏布劳特氏菌(OR=2.487,95%CI:1.222~5.062,P=0.012)被识别为风险因子。相反,苏黎世杆菌科(OR=0.570,95%CI:0.343~0.949,P=0.031)、RUG420 sp900317985(OR=0.153,95%CI:0.036~0.649,P=0.011)、厚壁菌门E(OR=0.084,95%CI:0.009~0.814,P=0.033)、人肠道杆菌属(OR=0.386,95%CI:0.197~0.756,P=0.006)和CAG-145 sp000435615(OR=0.575,95%CI:0.357~0.927,P=0.023)表现出保护效应。未发现明显异质性、水平多效性或离群值干扰。反向MR未支持NTM-LI对菌群的反向因果。结论: 本研究通过MR揭示特定肠道菌群与NTM-LI之间存在一定的因果关系,靶向调控这些菌群或为NTM-LI防治提供新策略。

关键词: 肠道菌群, 分枝杆菌感染, 肺疾病, 因果律, 孟德尔随机化

Abstract:

Objective: To assess the causal direction between gut microbiota and non-tuberculous mycobacteria lung infection (NTM-LI). Methods: This study used a bidirectional two-sample Mendelian randomization (MR). Genome-wide association studies (GWAS) data of gut microbiota and NTM-LI were obtained from the GWAS Catalog and the FinnGen databases, respectively. Instrumental variables (IV) were selected based on genome-wide significance thresholds, linkage disequilibrium analysis, and weak instrumental variable screening. The primary causal effect assessed using the inverse-variance weighted (IVW) method, supplemented by using MR-Egger, weighted median, simple mode, and weighted mode methods. Heterogeneity, sensitivity, and horizontal pleiotropy were evaluated using Cochran’s Q test, leave-one-out analysis, MR-Egger intercept test, and MR-PRESSO, respectively. Reverse MR analysis followed the same protocol. Results: IVW analysis revealed that changes in the abundance of specific gut microbiota taxa were significantly associated with the risk of NTM-LI. Odoribacter laneus (OR=1.798, 95%CI: 1.017-3.180, P=0.044), Desulfovibrio piger (OR=1.508, 95%CI: 1.069-2.128, P=0.019) and Blautia hansenii (OR=2.487, 95%CI: 1.222-5.062, P=0.012) could increase the risk of NTM-LI. Conversely, Turicibacteraceae (OR=0.570, 95%CI: 0.343-0.949, P=0.031), RUG420 sp900317985 (OR=0.153, 95%CI: 0.036-0.649, P=0.011), Firmicutes E (OR=0.084, 95%CI: 0.009-0.814, P=0.033), Enteroscipio (OR=0.386, 95%CI: 0.197-0.756, P=0.006), and CAG-145 sp000435615 (OR=0.575, 95%CI: 0.357-0.927, P=0.023) could reduce the risk of NTM-LI. No significant heterogeneity, horizontal pleiotropy, and outlier interference was detected. Furthermore, reverse MR analysis did not support effect of NTM-LI on gut microbiota composition. Conclusion: This MR analysis reveals a potential causal relationship between specific gut microbiota and NTM-LI. Targeted modulation of these specific gut microbial taxa holds promise as a novel intervention strategy for the prevention and treatment of NTM-LI.

Key words: Gut microbiota, Mycobacterium infections, Lung diseases, Causality, Mendelian randomization

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