Shi Hanyu, Zhao Tong, Geng RuiHui, Sun Liang, Fan Haojun
Department of Internal Medicine, Hospital of the First Mobile Corps of the Chinese People's Armed Police Force, Dingzhou, Hebei, China.
Department of Pulmonary and Critical Care, Characteristic Medical Center of the Chinese People's Armed Police Force, Tianjin, China.
Front Microbiol. 2023 Jun 2;14:1200937. doi: 10.3389/fmicb.2023.1200937. eCollection 2023.
Growing evidence indicates that variations in the composition of the gut microbiota are linked to the onset and progression of chronic respiratory diseases (CRDs), albeit the causal relationship between the two remains unclear.
We conducted a comprehensive two-sample Mendelian randomization (MR) analysis to investigate the relationship between gut microbiota and five main CRDs, including chronic obstructive pulmonary disease (COPD), asthma, idiopathic pulmonary fibrosis (IPF), sarcoidosis, and pneumoconiosis. For MR analysis, the inverse variance weighted (IVW) method was utilized as the primary method. The MR-Egger, weighted median, and MR-PRESSO statistical methods were used as a supplement. To detect heterogeneity and pleiotropy, the Cochrane and Rucker Q test, MR-Egger intercept test, and MR-PRESSO global test were then implemented. The leave-one-out strategy was also applied to assess the consistency of the MR results.
Based on substantial genetic data obtained from genome-wide association studies (GWAS) comprising 3,504,473 European participants, our study offers evidence that several gut microbial taxa, including 14 probable microbial taxa (specifically, 5, 3, 2, 3 and 1 for COPD, asthma, IPF, sarcoidosis, and pneumoconiosis, respectively) and 33 possible microbial taxa (specifically, 6, 7, 8, 7 and 5 for COPD, asthma, IPF, sarcoidosis, and pneumoconiosis, respectively) play significant roles in the formation of CRDs.
This work implies causal relationships between the gut microbiota and CRDs, thereby shedding new light on the gut microbiota-mediated prevention of CRDs.
越来越多的证据表明，肠道微生物群组成的变化与慢性呼吸道疾病（CRD）的发生和发展有关，尽管两者之间的因果关系仍不清楚。
我们进行了一项全面的两样本孟德尔随机化（MR）分析，以研究肠道微生物群与五种主要CRD之间的关系，这五种疾病包括慢性阻塞性肺疾病（COPD）、哮喘、特发性肺纤维化（IPF）、结节病和尘肺病。对于MR分析，采用逆方差加权（IVW）方法作为主要方法。MR-Egger、加权中位数和MR-PRESSO统计方法用作补充。为了检测异质性和多效性，随后实施了Cochrane和Rucker Q检验、MR-Egger截距检验和MR-PRESSO全局检验。还应用了留一法策略来评估MR结果的一致性。
基于从包含3504473名欧洲参与者的全基因组关联研究（GWAS）中获得的大量遗传数据，我们的研究提供了证据，表明几种肠道微生物分类群，包括14种可能的微生物分类群（具体而言，COPD、哮喘、IPF、结节病和尘肺病分别为5、3、2、3和1种）和33种可能的微生物分类群（具体而言，COPD、哮喘、IPF、结节病和尘肺病分别为6、7、8、7和5种）在CRD的形成中起重要作用。
这项工作暗示了肠道微生物群与CRD之间的因果关系，从而为肠道微生物群介导的CRD预防提供了新的思路。
