Literature DB >> 28282113

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

Yifan Tao1,2, Yun Wang2,3, Shi Huang2,3, Pengfei Zhu2,3, Wei E Huang4, Junqi Ling1, Jian Xu2,3.   

Abstract

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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Year:  2017        PMID: 28282113     DOI: 10.1021/acs.analchem.6b05051

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  26 in total

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9.  Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli.

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