Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Microbiol Spectr. 2024 Apr 2;12(4):e0315723. doi: 10.1128/spectrum.03157-23. Epub 2024 Feb 22.
Chronic lung infections are a feature of cystic fibrosis (CF) that many patients experience even with the advent of highly effective modulator therapies. Identifying factors that impact in the CF lung could yield novel strategies to eradicate infection or otherwise improve outcomes. To complement published studies using laboratory models or RNA isolated from sputum, we analyzed transcripts of strain PAO1 after incubation in sputum from different CF donors prior to RNA extraction. We compared PAO1 gene expression in this "spike-in" sputum model to that for grown in synthetic cystic fibrosis sputum medium to determine key genes, which are among the most differentially expressed or most highly expressed. Using the key genes, gene sets with correlated expression were determined using the gene expression analysis tool eADAGE. Gene sets were used to analyze the activity of specific pathways in grown in sputum from different individuals. Gene sets that we found to be more active in sputum showed similar activation in published data that included RNA isolated from sputum relative to corresponding reference cultures. In the samples, had increased levels of genes related to zinc and iron acquisition which were suppressed by metal amendment of sputum. We also found a significant correlation between expression of the H1-type VI secretion system and CFTR corrector use by the sputum donor. An sputum model or synthetic sputum medium formulation that imposes metal restriction may enhance future CF-related studies.IMPORTANCEIdentifying the gene expression programs used by to colonize the lungs of people with cystic fibrosis (CF) will illuminate new therapeutic strategies. To capture these transcriptional programs, we cultured the common laboratory strain PAO1 in expectorated sputum from CF patient donors. Through bioinformatic analysis, we defined sets of genes that are more transcriptionally active in real CF sputum compared to a synthetic cystic fibrosis sputum medium. Many of the most differentially active gene sets contained genes related to metal acquisition, suggesting that these gene sets play an active role in scavenging for metals in the CF lung environment which may be inadequately represented in some models. Future studies of transcript abundance in CF may benefit from the use of an expectorated sputum model or media supplemented with factors that induce metal restriction.
慢性肺部感染是囊性纤维化 (CF) 的一个特征,许多患者即使采用了高效调节剂治疗也会出现这种情况。确定影响 CF 肺部感染的因素可能会产生新的策略来消除感染或改善其他结果。为了补充使用实验室模型或从痰中分离的 RNA 发表的研究,我们分析了在提取 RNA 之前在来自不同 CF 供体的痰中孵育后 PAO1 菌株的转录物。我们将在这种“ Spike-in”痰模型中生长的 PAO1 与在合成 CF 痰培养基中生长的 PAO1 的基因表达进行比较,以确定关键基因,这些基因是差异表达或高度表达最多的基因之一。使用关键基因,使用基因表达分析工具 eADAGE 确定具有相关表达的基因集。使用基因集分析来自不同个体的痰中生长的特定途径的活性。我们发现基因集在痰中更活跃,这与包括与相应的 CF 参考培养物相比从痰中分离的 RNA 的已发表数据相似。在 样本中,与锌和铁摄取有关的基因水平升高,而痰中的金属修饰可抑制这些基因的表达。我们还发现 H1 型 VI 型分泌系统的表达与 CFTR 校正因子的使用之间存在显著相关性。一种限制金属的 痰模型或合成痰培养基配方可能会增强未来与 CF 相关的研究。
意义:确定 定植在囊性纤维化 (CF) 患者肺部的基因表达程序将阐明新的治疗策略。为了捕获这些转录程序,我们在 CF 患者供体的咳出痰中培养了常见的实验室菌株 PAO1。通过生物信息学分析,我们定义了与合成 CF 痰培养基相比,在真实 CF 痰中转录更活跃的基因集。许多最具差异活性的基因集中包含与金属获取相关的基因,这表明这些基因集在 CF 肺部环境中积极参与金属的获取,而在某些模型中可能无法充分代表这些基因集。未来 CF 中 转录物丰度的研究可能受益于使用咳出痰模型或补充诱导金属限制的培养基。