Cuthbertson Leah, Hatfield Lauren, Gavillet Helen, Hardman Michelle, Marsh Ryan, Rivett Damian W, van der Gast Christopher
Department of Respiratory Science, University of Leicester, Leicester, UK.
Department of Life Sciences, Manchester Metropolitan University, Manchester, UK.
Microbiome. 2025 Jun 7;13(1):140. doi: 10.1186/s40168-025-02143-5.
Acute pulmonary exacerbations (PEx) are associated with increased morbidity and earlier mortality for people living with cystic fibrosis (pwCF). The most common causes of PEx in CF are by bacterial infection and concomitant inflammation leading to progressive airway damage. To draw attention to the seriousness of PEx they have been labelled as 'lung attacks', much like a 'heart attack' for acute myocardial infarction. Treatment typically starts when a pwCF presents with worsening respiratory symptoms. Hence, there is a pressing need to identify indicative biomarkers of PEx onset to allow more timely intervention. Set within an ecological framework, we investigated temporal microbiota dynamics to connect changes in the lung microbiota of pwCF to changes in disease states across a PEx event.
Species-time relationships (STR) describe how the richness of a community changes with time, here STRs were used to assess temporal turnover (w) within the lung microbiota of each pwCF (n = 12, mean sample duration 315.9 ± 42.7 days). STRs were characterised by high interpatient variability, indicating that turnover and hence temporal organization are a personalized feature of the CF lung microbiota. Greater turnover was found to be significantly associated with greater change in lung function with time. When microbiota turnover was examined at a finer scale across each pwCF time series, w-values could clearly be observed to increase in the exacerbation period, then peaking within the treatment period, demonstrating that increases in turnover were not solely a result of perturbations caused by PEx antibiotic interventions. STR w-values have been found to have a remarkable degree of similarity for different organisms, in a variety of habitats and ecosystems, and time lengths (typically not exceeding w = 0.5). Here, we found w-values soon increased beyond that. It was therefore possible to use the departure from that expected norm up to start of treatment to approximate onset of PEx in days (21.2 ± 8.9 days across the study participants).
Here, we illustrate that changes in turnover of the lung microbiota of pwCF can be indicative of PEx onset in considerable advance of when treatment would normally be initiated. This offers translational potential to enable early detection of PEx and consequent timely intervention. Video Abstract.
急性肺部加重期(PEx)与囊性纤维化患者(pwCF)的发病率增加和更早死亡相关。囊性纤维化中PEx最常见的原因是细菌感染和伴随的炎症,导致进行性气道损伤。为了引起人们对PEx严重性的关注,它们被标记为“肺部发作”,很像急性心肌梗死的“心脏病发作”。治疗通常在pwCF出现呼吸症状恶化时开始。因此,迫切需要识别PEx发作的指示性生物标志物,以便进行更及时的干预。在生态框架内,我们研究了时间微生物群动态,以将pwCF的肺部微生物群变化与PEx事件中疾病状态的变化联系起来。
物种-时间关系(STR)描述了群落丰富度如何随时间变化,这里STR用于评估每个pwCF(n = 12,平均样本持续时间315.9±42.7天)肺部微生物群中的时间周转率(w)。STR的特征是患者间变异性高,表明周转率以及时间组织是CF肺部微生物群的个性化特征。发现更大的周转率与肺功能随时间的更大变化显著相关。当在每个pwCF时间序列的更精细尺度上检查微生物群周转率时,可以清楚地观察到w值在加重期增加,然后在治疗期达到峰值,这表明周转率的增加不仅仅是PEx抗生素干预引起的扰动的结果。已发现STR w值在不同生物体、各种栖息地和生态系统以及时间长度(通常不超过w = 0.5)方面具有显著程度的相似性。在这里,我们发现w值很快就超过了这个值。因此,可以使用从预期标准到治疗开始的偏离天数来近似PEx发作(整个研究参与者为21.2±8.9天)。
在这里,我们表明pwCF肺部微生物群周转率的变化可以在通常开始治疗的时间之前相当长的时间指示PEx发作。这为早期检测PEx并因此进行及时干预提供了转化潜力。视频摘要。