Park Jinkyeong, Lee Jae Jun, Hong Yoonki, Seo Hochan, Shin Tae-Seop, Hong Ji Young
Department of Pulmonary and Critical Care Medicine, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, Seoul 05278, Korea.
Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24253, Korea.
J Pers Med. 2022 Apr 2;12(4):564. doi: 10.3390/jpm12040564.
Previous studies reported a significant association between pneumonia outcome and the respiratory microbiome. There is increasing interest in the roles of bacterial extracellular vesicles (EVs) in various diseases. We studied the composition and function of microbiota-derived EVs in the plasma of patients receiving mechanical ventilation to evaluate whether they can be used as a diagnostic marker and to predict clinical outcomes.
Plasma samples ( = 111) from 59 mechanically ventilated patients (41 in the pneumonia group; 24 in the nursing home and hospital-associated infection [NHAI] group) were prospectively collected on days one and seven. After isolating the bacterial EVs from plasma samples, nucleic acid was extracted for 16S rRNA gene pyrosequencing. The samples were evaluated to determine the α and β diversity, bacterial composition, and predicted functions.
Principal coordinates analysis revealed significantly different clustering of microbial EVs between the pneumonia and non-pneumonia groups. The proportions of , , and were significantly different between the pneumonia and non-pneumonia groups. In addition, the abundances of and were significantly higher in the non-NHAI than the NHAI group. In the analysis of β diversity, the structure of microbial EVs differed significantly different between 28-day survivors and non-survivors (Bray-Curtis distance, = 0.014). Functional profiling revealed significant differences between the pneumonia and non-pneumonia groups. The longitudinal change in predicted functions of microbial EV genes showed a significant difference between 28-day survivors and non-survivors.
Bacterial microbiota-derived EVs in the plasma have potential as diagnostic and prognostic markers for patients receiving mechanical ventilation. Further large prospective studies are needed to determine the clinical utility of plasma microbiota-EVs in intubated patients.
先前的研究报道了肺炎预后与呼吸道微生物群之间存在显著关联。人们对细菌细胞外囊泡(EVs)在各种疾病中的作用越来越感兴趣。我们研究了接受机械通气患者血浆中微生物群衍生的EVs的组成和功能,以评估它们是否可作为诊断标志物并预测临床结果。
前瞻性收集了59例机械通气患者(肺炎组41例;养老院和医院相关感染[NHAI]组24例)在第1天和第7天的血浆样本(n = 111)。从血浆样本中分离出细菌EVs后,提取核酸进行16S rRNA基因焦磷酸测序。对样本进行评估以确定α和β多样性、细菌组成和预测功能。
主坐标分析显示肺炎组和非肺炎组之间微生物EVs的聚类存在显著差异。肺炎组和非肺炎组之间,[具体细菌名称1]、[具体细菌名称2]和[具体细菌名称3]的比例存在显著差异。此外,非NHAI组中[具体细菌名称4]和[具体细菌名称5]的丰度显著高于NHAI组。在β多样性分析中,28天幸存者和非幸存者之间微生物EVs的结构存在显著差异(Bray-Curtis距离,P = 0.014)。功能分析显示肺炎组和非肺炎组之间存在显著差异。微生物EV基因预测功能的纵向变化在28天幸存者和非幸存者之间存在显著差异。
血浆中细菌微生物群衍生的EVs有潜力作为接受机械通气患者的诊断和预后标志物。需要进一步的大型前瞻性研究来确定血浆微生物群-EVs在插管患者中的临床应用价值。