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应用于类似囊性纤维化条件下生物膜模型的细胞外挥发代谢组学的特征描述。

Characterization of the Extracellular Volatile Metabolome of Applying an Biofilm Model under Cystic Fibrosis-Like Conditions.

机构信息

Applied Analytical Chemistry, University of Duisburg-Essen, 45141 Essen, Germany.

Environmental Microbiology and Biotechnology, University of Duisburg-Essen, 45141 Essen, Germany.

出版信息

Front Biosci (Landmark Ed). 2022 May 13;27(5):156. doi: 10.31083/j.fbl2705156.

Abstract

BACKGROUND

Cystic fibrosis (CF) is an autosomal recessive hereditary disease that leads to the production of thickened mucus in the lungs, favouring polymicrobial infections, such as chronic lung infections with the bacterial opportunistic pathogen .

METHOD

A biofilm model in combination with an adapted sampling and GC-MS analysis method were applied to studies on different variables influencing the composition of the extracellular volatile metabolome of .

RESULTS

A significant influence on the metabolome could be demonstrated for the culture medium as well as the atmosphere during cultivation (aerobic or anaerobic). Furthermore, a significant influence of the mucoid (alginate-overproducing) phenotype of the bacterium on quantity and composition of volatile organic compounds could be observed. Based on the results a solid culture medium was developed to simulate the nutrient conditions in the lungs of a CF patient. The extracellular volatile metabolome of bacterial strains ATCC 10145, PAO1 and FRD1 was characterized under CF-like conditions.

CONCLUSIONS

Bacterial strain-dependent metabolites were identified. When PAO1 and FRD1 clinical isolates were compared, 36 metabolites showed significant variations in intensities. When the clinical isolates were compared with the reference strain ( ATCC 10145), 28 metabolites ( PAO1) and 70 metabolites ( FRD1) were determined whose peaks showed significant deviation ( > 95%) in intensity. Furthermore, the bacterial strains could be differentiated from each other by means of two principal components.

摘要

背景

囊性纤维化(CF)是一种常染色体隐性遗传疾病,导致肺部产生浓稠的粘液,有利于多种微生物感染,如慢性肺部感染细菌机会性病原体。

方法

采用生物膜模型结合改良的采样和 GC-MS 分析方法,研究了不同变量对 细胞外挥发代谢组组成的影响。

结果

培养介质以及培养过程中的大气(需氧或厌氧)对代谢组有显著影响。此外,细菌粘液表型(过度产生藻酸盐)对挥发性有机化合物的数量和组成有显著影响。基于这些结果,开发了一种固体培养基来模拟 CF 患者肺部的营养条件。在 CF 样条件下对细菌株 ATCC 10145、PAO1 和 FRD1 的细胞外挥发代谢组进行了表征。

结论

确定了依赖于细菌株的代谢物。当比较 PAO1 和 FRD1 临床分离株时,36 种代谢物的强度有显著差异。当将临床分离株与参考菌株(ATCC 10145)进行比较时,确定了 28 种代谢物(PAO1)和 70 种代谢物(FRD1)的峰值强度有显著偏差(>95%)。此外,还可以通过两个主成分将细菌株彼此区分开来。

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