GSK, Siena, Italy.
GSK, Wavre, Belgium.
J Infect Dis. 2024 Nov 15;230(5):e1112-e1120. doi: 10.1093/infdis/jiae232.
We determined the relationships between cytokine expression in sputum and clinical data to characterize and understand chronic obstructive pulmonary disease (COPD) exacerbations in people with COPD.
We measured 30 cytokines in 936 sputum samples, collected at stable state and exacerbation visits from 99 participants in the Acute Exacerbation and Respiratory InfectionS in COPD (AERIS) study (ClinicalTrials.gov NCT01360398). We determined their longitudinal expression and examined differential expression based on disease status or exacerbation type.
Of the cytokines, 17 were suitable for analysis. As for disease states, in exacerbation sputum samples, interleukin (IL) 17A, tumor necrosis factor alpha (TNF-α), IL-1β, and IL-10 were significantly increased compared to stable state sputum samples, but a logistic mixed model could not predict disease state. As for exacerbation types, bacteria-associated exacerbations showed higher expression of IL-17A, TNF-α, IL-1β, and IL-1α. IL-1α, IL-1β, and TNF-α were identified as suitable biomarkers for bacteria-associated exacerbation. Bacteria-associated exacerbations also formed a cluster separate from other exacerbation types in principal component analysis.
Measurement of cytokines in sputum from COPD patients could help identify bacteria-associated exacerbations based on increased concentrations of IL-1α, IL-1β, or TNF-α. This finding may provide a point-of-care assessment to distinguish a bacterial exacerbation of COPD from other exacerbation types.
我们确定了痰液中细胞因子的表达与临床数据之间的关系,以对慢性阻塞性肺疾病(COPD)患者的 COPD 加重进行特征描述和理解。
我们在急性加重和 COPD 中的呼吸道感染研究(AERIS)(ClinicalTrials.gov NCT01360398)中,从 99 名参与者稳定期和加重期就诊时共采集了 936 份痰液样本,测量了其中 30 种细胞因子。我们确定了它们的纵向表达,并根据疾病状态或加重类型检查了差异表达。
在细胞因子中,有 17 种适合进行分析。就疾病状态而言,在加重期痰液样本中,白细胞介素(IL)17A、肿瘤坏死因子-α(TNF-α)、IL-1β 和 IL-10 与稳定期痰液样本相比显著增加,但逻辑混合模型无法预测疾病状态。就加重类型而言,细菌相关加重显示出更高的 IL-17A、TNF-α、IL-1β 和 IL-1α 表达。IL-1α、IL-1β 和 TNF-α 被确定为细菌相关加重的合适生物标志物。细菌相关加重也在主成分分析中与其他加重类型形成了一个单独的聚类。
COPD 患者痰液中细胞因子的测量可有助于根据 IL-1α、IL-1β 或 TNF-α 浓度增加来识别细菌相关加重。这一发现可能为基于细胞因子的 COPD 细菌加重的即时护理评估提供了一种方法,有助于将其与其他加重类型区分开来。