Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
South Eastern Health and Social Care Trust, Belfast, UK.
Respirology. 2020 Jan;25(1):64-70. doi: 10.1111/resp.13653. Epub 2019 Jul 30.
In bronchiectasis (BE) not caused by cystic fibrosis, chronic, polymicrobial airway infection contributes to the underlying pathogenesis of disease. There is little information on whether bacterial community composition relates to clinical status. We determined the relationship between bacterial community composition, chest high-resolution computed tomography (HRCT) scores and clinical markers in BE.
A subgroup of BE patients from a previous cross-sectional study were analysed. Spontaneously expectorated sputum was analysed using culture-independent sequencing on the Roche 454-FLX platform covering the V1-V3 region of the 16S rRNA marker gene. Chest HRCT scans, multiple breath washout, spirometry and blood inflammatory markers were collected. Spearman's rank (r) correlation coefficient was used to assess relationships.
Data from 21 patients were analysed (mean (SD) age: 64.0 (7.7); female : male 14:7; mean (SD) forced expiratory volume in 1 s (FEV ): 76.5 (17.2)). All bacterial community composition metrics (bacterial richness, diversity, evenness and dominance) correlated with percentage BE score, with more severe HRCT abnormality relating to lower bacterial richness, evenness and diversity (range r = -0.47 to -0.66; P < 0.05). Inflammation (C-reactive protein and white cell count) was greater in patients with lower diversity and richness (range r = -0.44 to -0.47; P < 0.05). Bacterial community characteristics did not correlate with lung function.
This is the first study to indicate a relationship between bacterial community characteristics by 16S rRNA marker gene sequencing, structural damage as determined by chest HRCT and clinical measures in BE. The association between loss of diversity and chest HRCT severity suggests that bacterial dominance with pathogenic bacteria may contribute to disease pathology.
在非囊性纤维化性支气管扩张症(BE)中,慢性、多微生物气道感染导致疾病的潜在发病机制。关于细菌群落组成是否与临床状态有关的信息很少。我们确定了 BE 患者的细菌群落组成与胸部高分辨率计算机断层扫描(HRCT)评分和临床标志物之间的关系。
分析了先前一项横断面研究中的 BE 患者亚组。使用罗氏 454-FLX 平台对 16S rRNA 标记基因的 V1-V3 区进行非依赖性培养测序,对自发咳出的痰液进行分析。收集胸部 HRCT 扫描、多呼吸冲洗、肺活量测定和血液炎症标志物。使用 Spearman 秩相关系数评估相关性。
对 21 例患者的数据进行了分析(平均(标准差)年龄:64.0(7.7);女性:男性 14:7;平均(标准差)1 秒用力呼气量(FEV):76.5(17.2))。所有细菌群落组成指标(细菌丰富度、多样性、均匀度和优势度)与 BE 评分百分比相关,HRCT 异常越严重,细菌丰富度、均匀度和多样性越低(范围 r = -0.47 至-0.66;P<0.05)。多样性和丰富度较低的患者炎症(C 反应蛋白和白细胞计数)更高(范围 r = -0.44 至-0.47;P<0.05)。细菌群落特征与肺功能无关。
这是第一项表明 16S rRNA 标记基因测序、胸部 HRCT 确定的结构损伤和 BE 临床指标之间存在关系的研究。多样性丧失与胸部 HRCT 严重程度之间的关联表明,具有致病性的细菌优势可能导致疾病病理。