Department of Intensive Care, Maastricht University Medical Center+, Maastricht, The Netherlands.
Department of Intensive Care, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands.
Physiol Rep. 2021 Feb;9(3):e14693. doi: 10.14814/phy2.14693.
Biological subphenotypes have been identified in acute respiratory distress syndrome (ARDS) based on two parsimonious models: the "uninflamed" and "reactive" subphenotype (cluster-model) and "hypo-inflammatory" and "hyper-inflammatory" (latent class analysis (LCA) model). The distinction between the subphenotypes is mainly driven by inflammatory and coagulation markers in plasma. However, systemic inflammation is not specific for ARDS and it is unknown whether these subphenotypes also reflect differences in the alveolar compartment. Alveolar inflammation and dysbiosis of the lung microbiome have shown to be important mediators in the development of lung injury. This study aimed to determine whether the "reactive" or "hyper-inflammatory" biological subphenotype also had higher concentrations of inflammatory mediators and enrichment of gut-associated bacteria in the lung. Levels of alveolar inflammatory mediators myeloperoxidase (MPO), surfactant protein D (SPD), interleukin (IL)-1b, IL-6, IL-10, IL-8, interferon gamma (IFN-ƴ), and tumor necrosis factor-alpha (TNFα) were determined in the mini-BAL fluid. Key features of the lung microbiome were measured: bacterial burden (16S rRNA gene copies/ml), community diversity (Shannon Diversity Index), and community composition. No statistically significant differences between the "uninflamed" and "reactive" ARDS subphenotypes were found in a selected set of alveolar inflammatory mediators and key features of the lung microbiome. LCA-derived subphenotypes and stratification based on cause of ARDS (direct vs. indirect) showed similar profiles, suggesting that current subphenotypes may not reflect the alveolar host response. It is important for future research to elucidate the pulmonary biology within each subphenotype properly, which is arguably a target for intervention.
生物亚型已在急性呼吸窘迫综合征(ARDS)中根据两个简约模型被识别:“无炎症”和“反应性”亚型(聚类模型)和“低炎症”和“高炎症”(潜在类别分析(LCA)模型)。亚型之间的区别主要由血浆中的炎症和凝血标志物驱动。然而,全身炎症并非 ARDS 所特有,并且尚不清楚这些亚型是否也反映了肺泡隔室的差异。肺泡炎症和肺微生物组的失调已被证明是肺损伤发展的重要介质。本研究旨在确定“反应性”或“高炎症”生物亚型是否也具有更高浓度的炎症介质和肺部中与肠道相关的细菌的富集。在迷你 BAL 液中测定肺泡炎症介质髓过氧化物酶(MPO)、表面活性剂蛋白 D(SPD)、白细胞介素(IL)-1b、IL-6、IL-10、IL-8、干扰素γ(IFN-ƴ)和肿瘤坏死因子-α(TNFα)的水平。测量了肺微生物组的关键特征:细菌负荷(16S rRNA 基因拷贝/ml)、群落多样性(Shannon 多样性指数)和群落组成。在一组选定的肺泡炎症介质和肺微生物组的关键特征中,未发现“无炎症”和“反应性”ARDS 亚型之间存在统计学上的显著差异。LCA 衍生的亚型和基于 ARDS 病因(直接与间接)的分层显示出相似的特征,表明当前的亚型可能无法反映肺泡宿主反应。阐明每个亚型内的肺生物学可能是干预的目标,这对于未来的研究很重要。