文献类型：期刊文献

英文题名：Multi-site microbiomes' response to chronic obstructive pulmonary disease

作者：Liu, Mingxuan[1];Zhang, Wei[2,3,4];Zhang, Jing[3];Lv, Na[2];Wu, Xiukun[5,6];Alalawy, Adel I.[7];Zhao, Wenfan[4];Bao, Hairong[2];Wu, Jianjun[1]

第一作者：Liu, Mingxuan

通信作者：Wu, JJ[1];Bao, HR[2]

机构：[1]Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou, Peoples R China;[2]Lanzhou Univ, Sch Clin Med 1, Lanzhou, Peoples R China;[3]Lanzhou Univ, Sch Hosp Stomatol, Lanzhou, Peoples R China;[4]Lanzhou Univ, Hosp & Clin Med Sch 2, Lanzhou, Peoples R China;[5]Key Lab Extreme Environm Microbial Resources & Eng, Lanzhou, Peoples R China;[6]Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Engn State Key Lab Ecol Safety & Sustainable Dev A, Lanzhou, Peoples R China;[7]Univ Tabuk, Fac Sci, Dept Biochem, Tabuk, Saudi Arabia

第一机构：甘肃中医药大学公共卫生学院

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou, Peoples R China;[2]corresponding author), Lanzhou Univ, Sch Clin Med 1, Lanzhou, Peoples R China.|[10735e9d5e7087247e71b]甘肃中医药大学公共卫生学院;[10735]甘肃中医药大学;

年份：2026

外文期刊名：MICROBIOLOGY SPECTRUM

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001767754100001)】；

基金：We acknowledge the sequencing platform provided by Biomark Biotechnology Co., Ltd, and the data were analyzed using the BMK Cloud Platform.

语种：英文

外文关键词：chronic obstructive pulmonary disease; microbial dysbiosis; oral-lung-gut axis; full-length 16S rRNA gene sequencing

摘要：This study aimed to evaluate changes in the oral, nasal, pulmonary, and gut microbiota in patients with chronic obstructive pulmonary disease (COPD) and to explore their interrelationships compared with the healthy group. This study included 33 COPD patients and 29 healthy individuals. A total of 162 oral, nasal, sputum, and fecal samples were obtained. The microbiota was determined using full-length 16S rRNA gene sequencing on the PacBio platform. Alpha diversity was significantly reduced in sputum and fecal samples of COPD patients, while oral and nasal microbiota showed no significant differences. Beta diversity revealed substantial overlap between oral and sputum microbiota in both groups, while nasal and fecal communities were clearly distinct. Linear discriminant analysis effect size analysis identified Haemophilus parahaemolyticus as a sputum biomarker. Source tracking confirmed that the majority of lung microbiota originated from the oral cavity. Interleukin-6 was inversely correlated with short-chain fatty acids (SCFAs)-producing microbiota in fecal samples, suggesting that depletion of these bacteria may contribute to systemic inflammation. Co-occurrence network analysis revealed that the sputum microbial network in COPD patients exhibited reduced robustness and lacked prominent hub nodes. Lung microbiota largely originates from the oral cavity but is changed in COPD. The lung microbiome is still more sensitive and accurate than the oral, nasal, and fecal microbiomes for COPD diagnosis. Fragmented networks in COPD indicate reduced community resilience.IMPORTANCELung and gut microbial diversity is significantly reduced in COPD patients. Oral microbiota is the primary source of lung microbes, but poorly predicts COPD status. Haemophilus parahaemolyticus was identified as a novel sputum biomarker in COPD. The bacterial network in COPD lungs is fragmented, lacking the resilience seen in healthy individuals. Lung and gut microbial diversity is significantly reduced in COPD patients. Oral microbiota is the primary source of lung microbes, but poorly predicts COPD status. Haemophilus parahaemolyticus was identified as a novel sputum biomarker in COPD. The bacterial network in COPD lungs is fragmented, lacking the resilience seen in healthy individuals.