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Metabolic-Activity-Based Assessment of Antimicrobial Effects by D2O-Labeled Single-Cell Raman Microspectroscopy

化学 变形链球菌 抗菌剂 最小抑制浓度 微生物学 肺炎链球菌 显微拉曼光谱 抗生素 细菌生长 拉曼光谱 氨苄西林 细菌 生物化学 生物 光学 物理 有机化学 遗传学
作者
Yifan Tao,Yun Wang,Shi Huang,Pengfei Zhu,Wei E. Huang,Junqi Ling,Jian Xu
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:89 (7): 4108-4115 被引量:158
标识
DOI:10.1021/acs.analchem.6b05051
摘要

To combat the spread of antibiotic resistance, methods that quantitatively assess the metabolism-inhibiting effects of drugs in a rapid and culture-independent manner are urgently needed. Here using four oral bacteria as models, we show that heavy water (D2O)-based single-cell Raman microspectroscopy (D2O-Raman) can probe bacterial response to different drugs using the Raman shift at the C–D (carbon–deuterium vibration) band in 2040 to 2300 cm–1 as a universal biomarker for metabolic activity at single-bacterial-cell resolution. The "minimum inhibitory concentration based on metabolic activity" (MIC-MA), defined as the minimal dose under which the median ΔC–D-ratio at 8 h of drug exposure is ≤0 and the standard deviation (SD) of the ΔC–D ratio among individual cells is ≤0.005, was proposed to evaluate the metabolism-inhibiting efficacy of drugs. In addition, heterogeneity index of MIC-MA (MIC-MA-HI), defined as SD of C–D ratio among individual cells, quantitatively assesses the among-cell heterogeneity of metabolic activity after drug regimens. When exposed to 1× MIC of sodium fluoride (NaF), 1× MIC of chlorhexidine (CHX), or 60× MIC of ampicillin, the cariogenic oral pathogen Streptococcus mutans UA159 ceased propagation yet remained metabolically highly active. This underscores the advantage of MIC-MA over the growth-based MIC in being able to detect the "nongrowing but metabolically active" (NGMA) cells that underlie many latent or recurring infections. Moreover, antibiotic susceptible and resistant S. mutans strains can be readily discriminated at as early as 0.5 h. Thus, D2O-Raman can serve as a universal method for rapid and quantitative assessment of antimicrobial effects based on general metabolic activity at single-cell resolution.
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