Department of Respiratory and Critical Care Medicine, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523121, People's Republic of China.
Respiratory Diseases Research Institute, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2024 Apr 5;19:873-886. doi: 10.2147/COPD.S436551. eCollection 2024.
Chronic obstructive pulmonary disease (COPD), an incurable chronic respiratory disease, has become a major public health problem. The relationship between the composition of intestinal microbiota and the important clinical factors affecting COPD remains unclear. This study aimed to identify specific intestinal microbiota with high clinical diagnostic value for COPD.
The fecal microbiota of patients with COPD and healthy individuals were analyzed by 16S rDNA sequencing. Random forest classification was performed to analyze the different intestinal microbiota. Spearman correlation was conducted to analyze the correlation between different intestinal microbiota and clinical characteristics. A microbiota-disease network diagram was constructed using the gut MDisorder database to identify the possible pathogenesis of intestinal microorganisms affecting COPD, screen for potential treatment, and guide future research.
No significant difference in biodiversity was shown between the two groups but significant differences in microbial community structure. Fifteen genera of bacteria with large abundance differences were identified, including , and . Among them, the relative abundance of and was negatively related to the smoking index and positively related to lung function results. By contrast, the relative abundance of was positively correlated with the smoking index and negatively correlated with lung function findings. Random forest classification showed that was the genus most capable of distinguishing between patients with COPD and healthy individuals suggesting it may be a potential biomarker of COPD. A disease network diagram suggested that decreased in some diseases, such as asthma, diabetes mellitus, and coronavirus disease 2019 (COVID-19), and increased in other diseases, such as irritable bowel syndrome, hypertension, and bovine lichen.
The dominant intestinal microbiota with significant differences is related to the clinical characteristics of COPD, and the has the potential value to identify COPD.
慢性阻塞性肺疾病（COPD）是一种不可治愈的慢性呼吸道疾病，已成为主要的公共卫生问题。肠道微生物群的组成与影响 COPD 的重要临床因素之间的关系尚不清楚。本研究旨在确定具有 COPD 高临床诊断价值的特定肠道微生物群。
通过 16S rDNA 测序分析 COPD 患者和健康个体的粪便微生物群。采用随机森林分类分析不同的肠道微生物群。采用 Spearman 相关性分析不同肠道微生物群与临床特征的相关性。使用 gut MDisorder 数据库构建微生物-疾病网络图，以识别影响 COPD 的肠道微生物可能的发病机制，筛选潜在的治疗方法，并指导未来的研究。
两组间的生物多样性无显著差异，但微生物群落结构存在显著差异。鉴定出 15 个丰度差异较大的细菌属，包括 、 和 等。其中，和 的相对丰度与吸烟指数呈负相关，与肺功能结果呈正相关。相比之下，的相对丰度与吸烟指数呈正相关，与肺功能结果呈负相关。随机森林分类表明，是区分 COPD 患者和健康个体的最具能力的属，表明它可能是 COPD 的潜在生物标志物。疾病网络图表明，在某些疾病（如哮喘、糖尿病和 2019 年冠状病毒病（COVID-19））中减少，而在其他疾病（如肠易激综合征、高血压和牛结节性皮肤病）中增加。
具有显著差异的优势肠道微生物群与 COPD 的临床特征有关，具有识别 COPD 的潜在价值。
