Linking volatile metabolites from bacterial pathogens to exhaled breath condensate of people with cystic fibrosis.

IF 2.6 4区 生物学 Q3 MICROBIOLOGY
P Hansani Karunarathne, Christopher Bridges, Lacy Remisoski, Madisen Crane, Claudia Soria Casanova, Samantha N Kinne, Alicia L Castillo Bahena, Marissa Gil, Lienwil Padillo, Gabriel Querido, Jenna Mielke, Marc McClelland, Doug Conrad, Robert A Quinn
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引用次数: 0

Abstract

Obtaining sputum samples from people with cystic fibrosis (pwCF) for microbiology has become challenging due to the positive clinical effects of the cystic fibrosis transmembrane conductance regulator modulator therapy, elexacaftor-tezacaftor-ivacaftor (ETI). Although ETI improves lung function and reduces sputum production, recent data shows that bacterial pathogens persist, making continued monitoring of infection important. As an alternative to sputum sampling, this study developed a non-invasive technique called 'Cough Breath' (CB) to identify volatile organic compounds (VOCs) in exhaled breath condensate (EBC) and link them to cystic fibrosis (CF) bacterial pathogens using purge and trap GC-MS. The CB culturing approach was able to isolate pathogens from expectorated particulates simultaneously with EBC collection; however, culturing positivity was low, with 6% of samples collected (n=47) positive for either Pseudomonas aeruginosa or Staphylococcus aureus. From EBC, we identified VOCs matching those uniquely produced by P. aeruginosa (7), S. aureus (12), Achromobacter xylosoxidans (8) and Granulicatella adiacens (2); however, the overall detection rate was also low. Expanding to VOCs produced across multiple pathogens identified 30 frequently detected in the EBC of pwCF, including 2,3-pentanedione, propyl pyruvate, oxalic acid diallyl ester, methyl isobutyl ketone, methyl nitrate, 2-propenal, acetonitrile, acetoin and 2,3-butanedione. Comparing isolate volatilomes and EBC samples from the same pwCF enhanced detection rates with key VOCs, such as 2,3-pentanedione (86%) and propyl pyruvate (83%), in P. aeruginosa isolates. Further investigation showed that VOC production differed across strains and at different growth phases, creating variability that may explain the overall low EBC detection rate. Although this study successfully cultured CF pathogens from cough particulates and matched their unique VOCs in EBC samples, our results indicate that microbial volatiles more generally indicative of infection, such as 2,3-pentanedione, may have the most utility in aiding diagnostics in pwCF on ETI who have reduced sputum production in the clinic.

将细菌病原体的挥发性代谢物与囊性纤维化患者的呼出液联系起来。
由于囊性纤维化(pwCF)患者的跨膜电导调节剂治疗(elexaftor - tezactor -ivacaftor, ETI)的积极临床效果,从患者身上获取痰样本进行微生物学研究变得具有挑战性。尽管ETI可以改善肺功能并减少痰液产生,但最近的数据显示,细菌病原体仍然存在,因此继续监测感染非常重要。作为痰取样的替代方法,本研究开发了一种名为“咳嗽呼吸”(CB)的非侵入性技术,用于识别呼出冷凝水(EBC)中的挥发性有机化合物(VOCs),并使用吹扫和捕集GC-MS将其与囊性纤维化(CF)细菌病原体联系起来。CB培养方法能够在收集EBC的同时从痰液颗粒中分离病原体;然而,培养阳性率很低,收集的样品中有6% (n=47)对铜绿假单胞菌或金黄色葡萄球菌呈阳性。从EBC中,我们发现了与P. aeruginosa(7)、S. aureus(12)、xylosoxidans无色杆菌(8)和Granulicatella adiacens(2)相匹配的VOCs;但总体检出率也较低。扩展到在pwCF的EBC中发现的30种常见病原体中产生的挥发性有机化合物,包括2,3-戊二酮、丙酮酸丙酯、草酸二烯丙酯、甲基异丁基酮、硝酸甲酯、2-propenal、乙腈、乙托因和2,3-丁二酮。将同一pwCF中分离的挥发物与EBC样品进行比较,可提高铜绿假单胞菌分离物中关键挥发性有机化合物(如2,3-戊二酮(86%)和丙酮酸丙酯(83%))的检出率。进一步的研究表明,不同菌株和不同生长阶段的VOC产量存在差异,这可能是EBC检出率总体较低的原因。虽然本研究成功地从咳嗽颗粒中培养出CF病原体,并与EBC样本中独特的挥发性有机化合物相匹配,但我们的研究结果表明,微生物挥发物(如2,3-戊二酮)更普遍地指示感染,可能在临床上帮助诊断痰量减少的ETI患者的pwCF方面最有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbiology-Sgm
Microbiology-Sgm 生物-微生物学
CiteScore
4.60
自引率
7.10%
发文量
132
审稿时长
3.0 months
期刊介绍: We publish high-quality original research on bacteria, fungi, protists, archaea, algae, parasites and other microscopic life forms. Topics include but are not limited to: Antimicrobials and antimicrobial resistance Bacteriology and parasitology Biochemistry and biophysics Biofilms and biological systems Biotechnology and bioremediation Cell biology and signalling Chemical biology Cross-disciplinary work Ecology and environmental microbiology Food microbiology Genetics Host–microbe interactions Microbial methods and techniques Microscopy and imaging Omics, including genomics, proteomics and metabolomics Physiology and metabolism Systems biology and synthetic biology The microbiome.
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