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高效液相色谱-串联质谱靶向代谢谱分析揭示了金黄色葡萄球菌小菌落变异株独特的代谢谱。

HPLC-MS/MS targeted metabolic profiling reveals distinct metabolic profiles from Staphylococcus aureus small-colony variants.

作者信息

Wang Chen, Zhu Jiangjiang

机构信息

Department of Chemistry and Biochemistry, Miami University 651 E High St., Oxford, OH 45056, USA.

Department of Chemistry and Biochemistry, Miami University 651 E High St., Oxford, OH 45056, USA.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2017 Aug 15;1060:340-346. doi: 10.1016/j.jchromb.2017.06.027. Epub 2017 Jun 20.

Abstract

Staphylococcus aureus is a world-wide health threat due to its prevalence and possible resistance to antibiotic treatment. A variety reasons can contribute to S. aureus antibiotic resistance and one group of phenotypes that may be discovered from S. aureus is named small-colony variants (SCVs). This study focused on applying a HPLC-MS/MS based targeted metabolic profiling approach to detect a set of metabolites that are dysregulated during S. aureus SCVs formation. Over one hundred and eighty metabolites were confidently detected and their difference between S. aureus SCVs and wild type control groups was compared via univariate and multivariate statistical analyses. Twenty metabolites, including 3',5'-cyclic AMP, tyrosine and adenine were identified as SCV specific metabolic features in comparison to the control group. Metabolic profile differences between individually isolated SCV were also observed and compared. Principal component analyses demonstrated clear metabolic profile differentiation between wild type control to SCVs. Metabolic pathway impact analysis also identified multiple metabolic pathways, including alanine, aspartate and glutamate metabolism, glycine, serine and threonine metabolism, that were significantly impacted during SCV formation. To the best of our knowledge, our study is the very first report to detect a large set of altered metabolites induced by S. aureus SCV formation. We believe our method can be used in combination with genomic, transcriptomic and proteomic approaches to achieve a better understanding of the unique physiological and metabolic changes during S. aureus SCV formation, and to assist the potential future development of targeted treatment for S. aureus SCV infections.

摘要

金黄色葡萄球菌因其广泛存在以及对抗生素治疗可能产生的耐药性,成为全球范围内的健康威胁。多种原因可导致金黄色葡萄球菌产生抗生素耐药性,从金黄色葡萄球菌中可能发现的一类表型被称为小菌落变体(SCVs)。本研究聚焦于应用基于高效液相色谱 - 串联质谱的靶向代谢谱分析方法,以检测在金黄色葡萄球菌小菌落变体形成过程中失调的一组代谢物。可靠地检测到了一百八十多种代谢物,并通过单变量和多变量统计分析比较了它们在金黄色葡萄球菌小菌落变体和野生型对照组之间的差异。与对照组相比,包括3',5'-环磷酸腺苷、酪氨酸和腺嘌呤在内的二十种代谢物被鉴定为小菌落变体特异性代谢特征。还观察并比较了单独分离的小菌落变体之间的代谢谱差异。主成分分析表明野生型对照组和小菌落变体之间存在明显的代谢谱差异。代谢途径影响分析还确定了多个代谢途径,包括丙氨酸、天冬氨酸和谷氨酸代谢,甘氨酸、丝氨酸和苏氨酸代谢,这些在小菌落变体形成过程中受到了显著影响。据我们所知,我们的研究是第一份检测到由金黄色葡萄球菌小菌落变体形成诱导的大量代谢物变化的报告。我们相信我们的方法可与基因组、转录组和蛋白质组学方法结合使用,以更好地理解金黄色葡萄球菌小菌落变体形成过程中独特的生理和代谢变化,并协助未来针对金黄色葡萄球菌小菌落变体感染的靶向治疗的潜在发展。

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