囊性纤维化肺微生物群的物种转换是急性肺恶化发作的指示。

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Leah Cuthbertson, Lauren Hatfield, Helen Gavillet, Michelle Hardman, Ryan Marsh, Damian W Rivett, Christopher van der Gast
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引用次数: 0

摘要

背景:急性肺恶化(PEx)与囊性纤维化(pwCF)患者的发病率增加和早期死亡率相关。CF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,他们被贴上了“肺部发作”的标签,就像急性心肌梗死的“心脏病发作”一样。当pwCF出现呼吸系统症状恶化时,通常开始治疗。因此,迫切需要确定PEx发病的指示性生物标志物,以便更及时地进行干预。在生态框架内,我们研究了时间微生物群动态,以将pwCF肺部微生物群的变化与PEx事件中疾病状态的变化联系起来。结果: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肺微生物群的时间周转(w) (n = 12,平均样本持续时间315.9±42.7天)。STRs的特点是患者间的高度变异性,表明CF肺微生物群的转换和时间组织是一个个性化的特征。随着时间的推移,更大的周转量与肺功能的更大变化显著相关。当在每个pwCF时间序列中以更精细的尺度检查微生物群周转率时,可以清楚地观察到w值在恶化期增加,然后在治疗期间达到峰值,这表明周转率的增加不仅仅是由PEx抗生素干预引起的扰动造成的。研究发现,不同生物、不同生境、不同生态系统和不同时间长度(通常不超过w = 0.5)的STR w值具有显著的相似性。在这里,我们发现w值很快就超过了这个值。因此,可以使用治疗开始前与预期标准的偏差来估计PEx的发病天数(研究参与者的21.2±8.9天)。结论:在这里,我们说明了pwCF肺微生物群转换的变化可以指示PEx在正常治疗开始时相当早的发病。这提供了翻译潜力,使PEx的早期发现和随后的及时干预。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Species turnover within cystic fibrosis lung microbiota is indicative of acute pulmonary exacerbation onset.

Background: 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.

Results: 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).

Conclusions: 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.

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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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