利用基质辅助激光解吸电离-质谱成像技术探索细菌耐药代谢

IF 1.1 Q4 CHEMISTRY, ANALYTICAL Brazilian Journal of Analytical Chemistry Pub Date : 2022-10-13 DOI:10.30744/brjac.2179-3425.ar-43-2022
M. Fernandes, A. Camelo, P. Vendramini, M. Brocchi, Ana Simionato
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引用次数: 0

摘要

抗生素治疗细菌感染的不当和过度使用导致医院和社区中耐药性和多药耐药性细菌的增加。因此,了解耐药细菌的代谢对于更有效地对抗它们至关重要。在这种情况下,质谱成像(MSI)被认为是一种很有前途的技术,可以了解这些细菌的耐药性特征以及如何潜在地治疗它们。该过程包括鉴定菌落表面的不同离子,并与同一物种的易感细菌进行比较,鉴定表征抗生素耐药性的潜在代谢产物。本工作介绍了基质辅助激光解吸电离质谱成像(MALDI-MSI)对耐甲氧西林金黄色葡萄球菌菌落的研究,作为获得菌落图像技术概念的证明。金黄色葡萄球菌的耐甲氧西林和易感菌落的图像通过升华过程获得,以将MALDI基质施加在样品上,然后进行MALDI-MSI分析。鉴定并空间定位了十七(17)种潜在代谢产物,如N,N-二羟基-L-缬氨酸、2-(4-甲基苯基)乙胺、3,4-二羟基-L-L-苯丙氨酸、2-甲基己酸、苏氨酸、精氨酸、Aureusimine和甘氨酸-D-天冬酰胺。因此,本研究增强了MALDI-MSI鉴定不同金黄色葡萄球菌菌株合成代谢产物的潜力。
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Exploring Bacterial Resistant Metabolism by Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry Imaging
The inappropriate and excessive use of antibiotics for the treatment of bacterial infections has led to the increasing presence of resistant and multidrug-resistant bacteria both in hospital settings and in the community. Thus, understanding the metabolism of resistant bacteria is extremely important to combat them more efficiently. In this scenario, mass spectrometry imaging (MSI) is considered a promising technique for understanding the resistant characteristics of such bacteria and how they can potentially be treated. This process consists of the identification of different ions on the surface of the colonies and the identification of potential metabolites that characterize antibiotic resistance, upon comparison with susceptible bacteria of the same species. This work presents matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) study of colonies of Methicillin-resistant Staphylococcus aureus, as a proof of concept of the technique for obtaining images of bacteria colonies. Images of methicillin-resistant and susceptible colonies of Staphylococcus aureus were obtained by a sublimation process to apply the MALDI matrix on the samples followed by MALDI-MSI analysis. Seventeen (17) potential metabolites were identified and spatially localized, such as N,N-dihydroxy-L-valine, 2-(4-Methylphenyl)ethylamine, 3,4-Dihydroxy-L-phenylalanine, 2-Methyl-hexanoic acid, threonine, Arginine, Aureusimine and Glycyl-D-asparagine. Thus, this study reinforces the potential of MALDI-MSI for identification of metabolites synthesized by different strains of Staphylococcus aureus bacteria.
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CiteScore
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