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Comprehensive volatile metabolic fingerprinting of bacterial and fungal pathogen groups

机译:细菌和真菌病原体群体的综合挥发性代谢指纹

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The identification of pathogen-specific volatile metabolic 'fingerprints ' could lead to the rapid identification of disease-causing organisms either directly from ex vivo patient bio-specimens or from in vitro cultures. In the present study, we have evaluated the volatile metabolites produced by 100 clinical isolates belonging to ten distinct pathogen groups that, in aggregate, account for 90% of bloodstream infections, 90% of urinary tract infections, and 80% of infections encountered in the intensive care unit setting. Headspace volatile metabolites produced in vitro were concentrated using headspace solid-phase microextraction and analyzed via two-dimensional gas chromatography timeof- flight mass spectrometry ( HS-SPME-GC × GC-TOFMS ) . A total of 811 volatile metabolites were detected across all samples, of which 203 were: ( 1 ) detected in 9 or 10 ( of 10 ) isolates belonging to one or more pathogen groups, and ( 2 ) significantly more abundant in cultures relative to sterile media. Network analysis revealed a distinct metabolic fingerprint associated with each pathogen group, and analysis via Random Forest using leave-one-out cross-validation resulted in a 95% accuracy for the differentiation between groups. The present findings support the results of prior studies that have reported on the differential production of volatile metabolites across pathogenic bacteria and fungi, and provide additional insight through the inclusion of pathogen groups that have seldom been studied previously, including Acinetobacter spp., coagulase-negative Staphylococcus, and Proteus mirabilis, as well as the utilization of HS-SPME-GC × GC-TOFMS for improved sensitivity and resolution relative to traditional gas chromatography-based techniques.
机译:病原体特异性挥发性代谢物“指纹”的鉴定可能导致直接从离体患者生物样本或体外培养的疾病导致生物的快速鉴定。在本研究中,我们评估了属于十种不同病原体组的100个临床分离株产生的挥发性代谢物,其占总血流感染的90%,90%的尿路感染,80%的感染重症监护单位设置。使用顶部空间固相微萃取浓缩体外生产的顶空挥发性代谢物,并通过二维气相色谱时间分析 - 飞行质谱法(HS-SPME-GC×GC-TOFMS)分析。在所有样品上检测到总共811个挥发性​​代谢物,其中203例:(1)在属于一种或多种病原体基团的9或10个分离株中检测到(10),(2)相对于无菌的培养物显着更大媒体。网络分析揭示了与每种病原体组相关的不同的代谢指纹,并且通过休假交叉验证通过随机森林进行分析导致组的分化精度为95%。本研究结果支持先前研究的结果,这些研究结果报告了致病菌和真菌在致病性细菌和真菌中的挥发性代谢物的差异产生,并通过包含先前已经研究的病原体群体提供了额外的洞察,包括分子杆菌SPP。,凝血酶阴性葡萄球菌和Proteus mirabilis,以及利用HS-SPME-GC×GC-TOFM,以改善相对于传统气相色谱的技术的灵敏度和分辨率。

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