Respiratory microbiota and radiomics features in the stable COPD patients

作者：Rong Wang, Chunrong Huang, Wenjie Yang, Cui Wang, Ping Wang, Leixin Guo, Jin Cao, Lin Huang, Hejie Song, Chenhong Zhang, Yunhui Zhang, Guochao Shi · 发表于：Respiratory Research · 年份：2023 · DOI：10.1186/s12931-023-02434-1 · 被引用次数：13 · 研究领域：Chronic Obstructive Pulmonary Disease (COPD) Research、Gut microbiota and health、Radiomics and Machine Learning in Medical Imaging

BACKGROUNDS: The respiratory microbiota and radiomics correlate with the disease severity and prognosis of chronic obstructive pulmonary disease (COPD). We aim to characterize the respiratory microbiota and radiomics features of COPD patients and explore the relationship between them. METHODS: Sputa from stable COPD patients were collected for bacterial 16 S rRNA gene sequencing and fungal Internal Transcribed Spacer (ITS) sequencing. Chest computed tomography (CT) and 3D-CT analysis were conducted for radiomics information, including the percentages of low attenuation area below - 950 Hounsfield Units (LAA%), wall thickness (WT), and intraluminal area (Ai). WT and Ai were adjusted by body surface area (BSA) to WT/[Formula: see text] and Ai/BSA, respectively. Some key pulmonary function indicators were collected, which included forced expiratory volume in one second (FEV1), forced vital capacity (FVC), diffusion lung carbon monoxide (DLco). Differences and correlations of microbiomics with radiomics and clinical indicators between different patient subgroups were assessed. RESULTS: Two bacterial clusters dominated by Streptococcus and Rothia were identified. Chao and Shannon indices were higher in the Streptococcus cluster than that in the Rothia cluster. Principal Co-ordinates Analysis (PCoA) indicated significant differences between their community structures. Higher relative abundance of Actinobacteria was detected in the Rothia cluster. Some genera were more common in the...