1 Division of Pulmonary and Critical Care Medicine, Department of Medicine, and.
2 Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois.
Am J Respir Crit Care Med. 2019 May 15;199(10):1225-1237. doi: 10.1164/rccm.201804-0650OC.
The identification of informative elements of the host response to infection may improve the diagnosis and management of bacterial pneumonia. To determine whether the absence of alveolar neutrophilia can exclude bacterial pneumonia in critically ill patients with suspected infection and to test whether signatures of bacterial pneumonia can be identified in the alveolar macrophage transcriptome. We determined the test characteristics of alveolar neutrophilia for the diagnosis of bacterial pneumonia in three cohorts of mechanically ventilated patients. In one cohort, we also isolated macrophages from alveolar lavage fluid and used the transcriptome to identify signatures of bacterial pneumonia. Finally, we developed a humanized mouse model of pneumonia to determine if pathogen-specific signatures can be identified in human alveolar macrophages. An alveolar neutrophil percentage less than 50% had a negative predictive value of greater than 90% for bacterial pneumonia in both the retrospective ( = 851) and validation cohorts ( = 76 and = 79). A transcriptional signature of bacterial pneumonia was present in both resident and recruited macrophages. Gene signatures from both cell types identified patients with bacterial pneumonia with test characteristics similar to alveolar neutrophilia. The absence of alveolar neutrophilia has a high negative predictive value for bacterial pneumonia in critically ill patients with suspected infection. Macrophages can be isolated from alveolar lavage fluid obtained during routine care and used for RNA-Seq analysis. This novel approach may facilitate a longitudinal and multidimensional assessment of the host response to bacterial pneumonia.
宿主对感染反应的信息元素的鉴定可能有助于改善细菌性肺炎的诊断和治疗。本研究旨在确定肺泡中性粒细胞缺乏是否可以排除疑似感染的危重症患者的细菌性肺炎,并检测是否可以在肺泡巨噬细胞转录组中识别出细菌性肺炎的特征。我们在三组机械通气患者中确定了肺泡中性粒细胞对细菌性肺炎诊断的检测特征。在其中一个队列中,我们还从肺泡灌洗液中分离出巨噬细胞,并利用转录组鉴定出细菌性肺炎的特征。最后,我们开发了一种细菌性肺炎的人源化小鼠模型,以确定是否可以在人类肺泡巨噬细胞中识别出病原体特异性特征。在回顾性队列(n=851)和验证队列(n=76 和 n=79)中,肺泡中性粒细胞百分比<50%对细菌性肺炎的阴性预测值均大于 90%。在常驻和募集的巨噬细胞中均存在细菌性肺炎的转录特征。来自两种细胞类型的基因特征均可以识别出患有细菌性肺炎的患者,其检测特征与肺泡中性粒细胞相似。在疑似感染的危重症患者中,肺泡中性粒细胞缺乏对细菌性肺炎具有较高的阴性预测值。可以从常规护理中获得的肺泡灌洗液中分离出巨噬细胞,并用于 RNA-Seq 分析。这种新方法可能有助于对细菌性肺炎的宿主反应进行纵向和多维评估。