Clinical Pharmacy, Xiangtan Center Hospital, Xiangtan, Hunan, China.
Pulmonary and Critial Care Medicine, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan, Guangdong, China.
Front Cell Infect Microbiol. 2024 Apr 30;14:1379831. doi: 10.3389/fcimb.2024.1379831. eCollection 2024.
Exploring the effect of SJQJD on the pulmonary microbiota of chronic obstructive pulmonary disease (COPD) rats through 16S ribosomal RNA (rRNA) sequencing.
A COPD rat model was constructed through smoking and lipopolysaccharide (LPS) stimulation, and the efficacy of SJQJD was evaluated by hematoxylin and eosin (H&E) staining and Enzyme-Linked Immunosorbnent Assay (ELISA). The alveolar lavage fluid of rats was subjected to 16S rRNA sequencing. The diversity of lung microbiota composition and community structure was analyzed and differential microbiota were screened. Additionally, machine learning algorithms were used for screening biomarkers of each group of the microbiota.
SJQJD could improve lung structure and inflammatory response in COPD rats. 16s rRNA sequencing analysis showed that SJQJD could significantly improve the abundance and diversity of bacterial communities in COPD rats. Through differential analysis and machine learning methods, potential microbial biomarkers were identified as , , and .
SJQJD could improve tissue morphology and local inflammatory response in COPD rats, and its effect may be related to improve pulmonary microbiota.
通过 16S 核糖体 RNA（rRNA）测序探讨 SJQJD 对慢性阻塞性肺疾病（COPD）大鼠肺部微生物群的影响。
通过吸烟和脂多糖（LPS）刺激构建 COPD 大鼠模型，通过苏木精和伊红（H&E）染色和酶联免疫吸附试验（ELISA）评估 SJQJD 的疗效。对大鼠肺泡灌洗液进行 16S rRNA 测序。分析肺微生物群落组成和结构的多样性，并筛选差异微生物群。此外，还使用机器学习算法筛选每组微生物的生物标志物。
SJQJD 可改善 COPD 大鼠的肺结构和炎症反应。16s rRNA 测序分析表明，SJQJD 可显著改善 COPD 大鼠肺部细菌群落的丰度和多样性。通过差异分析和机器学习方法，鉴定出潜在的微生物生物标志物为、、和。
SJQJD 可改善 COPD 大鼠的组织形态和局部炎症反应，其作用可能与改善肺部微生物群有关。
