Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine and University of Pittsburgh Medical Center.
Center for Medicine and the Microbiome.
Am J Respir Crit Care Med. 2020 Dec 15;202(12):1666-1677. doi: 10.1164/rccm.201912-2441OC.
Host inflammatory responses have been strongly associated with adverse outcomes in critically ill patients, but the biologic underpinnings of such heterogeneous responses have not been defined. We examined whether respiratory tract microbiome profiles are associated with host inflammation and clinical outcomes of acute respiratory failure. We collected oral swabs, endotracheal aspirates (ETAs), and plasma samples from mechanically ventilated patients. We performed 16S ribosomal RNA gene sequencing to characterize upper and lower respiratory tract microbiota and classified patients into host-response subphenotypes on the basis of clinical variables and plasma biomarkers of innate immunity and inflammation. We derived diversity metrics and composition clusters with Dirichlet multinomial models and examined our data for associations with subphenotypes and clinical outcomes. Oral and ETA microbial communities from 301 mechanically ventilated subjects had substantial heterogeneity in α and β diversity. Dirichlet multinomial models revealed a cluster with low α diversity and enrichment for pathogens (e.g., high or relative abundance) in 35% of ETA samples, associated with a hyperinflammatory subphenotype, worse 30-day survival, and longer time to liberation from mechanical ventilation (adjusted < 0.05), compared with patients with higher α diversity and relative abundance of typical oral microbiota. Patients with evidence of dysbiosis (low α diversity and low relative abundance of "protective" oral-origin commensal bacteria) in both oral and ETA samples (17%, ) had significantly worse 30-day survival and longer time to liberation from mechanical ventilation than patients without dysbiosis (55%; adjusted < 0.05). Respiratory tract dysbiosis may represent an important, modifiable contributor to patient-level heterogeneity in systemic inflammatory responses and clinical outcomes.
宿主炎症反应与危重症患者的不良预后密切相关,但这种异质性反应的生物学基础尚未确定。我们研究了呼吸道微生物组谱是否与急性呼吸衰竭患者的宿主炎症和临床结局相关。我们采集了机械通气患者的口腔拭子、气管内吸出物(ETA)和血浆样本。我们进行了 16S 核糖体 RNA 基因测序,以描述上、下呼吸道微生物群,并根据临床变量和先天免疫与炎症的血浆生物标志物将患者分为宿主反应亚表型。我们使用 Dirichlet 多项式模型得出多样性指标和组成聚类,并检查了我们的数据与亚表型和临床结局的关联。来自 301 例机械通气患者的口腔和 ETA 微生物群落在 α 和 β 多样性方面具有很大的异质性。Dirichlet 多项式模型显示,在 35%的 ETA 样本中存在一个具有低 α 多样性和病原体富集(例如,高 或 相对丰度)的聚类,与一种过度炎症的亚表型相关,30 天生存率更差,从机械通气中解放出来的时间更长(调整后 < 0.05),与具有更高 α 多样性和典型口腔微生物群落相对丰度的患者相比。在口腔和 ETA 样本中均存在微生物失调(低 α 多样性和“保护性”口腔来源共生菌的相对丰度低)的患者(17%),30 天生存率明显更差,从机械通气中解放出来的时间更长(调整后 < 0.05),与没有微生物失调的患者相比。呼吸道微生物失调可能代表宿主炎症反应和临床结局的患者水平异质性的一个重要、可调节的贡献因素。