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JoVE Journal Biology

Biology

Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium

Published: February 14, 2022 doi: 10.3791/62398
Automatic Translation
1,2, 3, 1,2,4,5
1Department of Electrical and Computer Engineering, Boston University, 2Boston University Photonics Center, Boston University, 3Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, 4Department of Biomedical Engineering, Boston University, 5Department of Chemistry, Boston University

Summary

This protocol presents rapid antimicrobial susceptibility testing (AST) assay within 2.5 h by single-cell-stimulated Raman scattering imaging of D2O metabolism. This method applies to bacteria in the urine or whole blood environment, which is transformative for rapid single-cell phenotypic AST in the clinic.

Abstract

To slow and prevent the spread of antimicrobial resistant infections, rapid antimicrobial susceptibility testing (AST) is in urgent need to quantitatively determine the antimicrobial effects on pathogens. It typically takes days to complete the AST by conventional methods based on the long-time culture, and they do not work directly for clinical samples. Here, we report a rapid AST method enabled by stimulated Raman scattering (SRS) imaging of deuterium oxide (D2O) metabolic incorporation. Metabolic incorporation of D2O into biomass and the metabolic activity inhibition upon exposure to antibiotics at the single bacterium level are monitored by SRS imaging. The single-cell metabolism inactivation concentration (SC-MIC) of bacteria upon exposure to antibiotics can be obtained after a total of 2.5 h of sample preparation and detection. Furthermore, this rapid AST method is directly applicable to bacterial samples in complex biological environments, such as urine or whole blood. SRS metabolic imaging of deuterium incorporation is transformative for rapid single-cell phenotypic AST in the clinic.

Introduction

Antimicrobial resistance (AMR) is a growing global threat to the effective treatment of infectious disease1. It is predicted that AMR will cause an additional 10 million deaths per year and $100 trillion global GDP loss by 2050 if no action for combating antibiotic-resistant bacteria is taken1,2. This stresses the urgent need for rapid and innovative diagnostic methods for antibiotic susceptibility testing (AST) of infectious bacteria to slow down the emergence of antibiotic-resistant bacteria and reduce the related mortality rate3. To ensure the best possible clinical outcome, it is crucial to introduce effective therapy within 24 h. However, the current gold standard method, like disk diffusion or broth dilution method, usually requires at least 24 h for the preincubation procedure for clinical samples and an additional 16-24 h to obtain the minimal inhibitory concentration (MIC) results. Overall, these methods are too time-consuming to guide an immediate decision for infectious disease treatment in the clinic, which leads to the emergence and spread of antimicrobial resistance4.

Genotypic AST methods, such as polymerase chain reaction (PCR)-based techniques5, have been developed for rapid detection. Such techniques measure the specific resistance genetic sequences in order to provide rapid AST results. They do not rely on time-consuming cell culture; however, only specific known genetic sequences with resistance are tested. Therefore, its application is limited to various bacterial species or different mechanisms of resistance. Also, they cannot provide MIC results for therapy decisions6,7. Besides, novel phenotypic methods for rapid AST are under development to overcome these limitations8, including microfluidic devices9,10,11,12,13, optical devices14,15,16, phenotypic AST quantifying the nucleic acids copy number17,18, and Raman spectroscopic methods19,20,21,22,23,24. These methods reduce time to guide AST results, however, most of them are only applicable to bacterial isolates, not directly to clinical specimens, and still require long-time preincubation.

In this work, we present a method for rapid determination of the susceptibility of bacteria in the urine and whole blood via monitoring of the cellular metabolic activity by SRS imaging. Water (H2O) takes part in the vast majority of essential biomolecular synthesis processes in living cells. As an isotopologue of water, through enzyme-catalyzed H/D exchange reaction between the redox-active hydrogen atom in NADPH and the D atom in D2O, deuterium can be incorporated into biomass inside a cell25,26. A deuterated fatty acid synthesis reaction is mediated by the deuterium labeled NADPH. The D2O incorporation into reactions of amino acids (AAs) results in the deuterated protein production26 (Figure 1). In this way, the newly synthesized C-D bond-containing biomolecules in single microbial cells can be employed as a general metabolic activity marker to be detected. To read out de novo synthesized C-D bonds, Raman spectroscopy, a versatile analytical tool providing specific and quantitative chemical information of biomolecules, is widely used to determine antimicrobial susceptibility and significantly reduce the testing time to a few hours27,28,29,30. However, due to the inherent low efficiency of the Raman scattering process, the spontaneous Raman spectroscopy is of low detection sensitivity. Therefore, it is challenging to obtain real-time image results using spontaneous Raman spectroscopy. Coherent Raman scattering (CRS), including coherent anti-Stokes Raman scattering (CARS) and stimulated Raman scattering (SRS), has reached high detection sensitivity because of the coherent light field to generate orders of magnitude larger than that of spontaneous Raman spectroscopy, thereby rendering high-speed, specific, and quantitative chemical imaging at the single cell level31,32,33,34,35,36,37,38,39.

Here, based on our most recent work40, we present a protocol for rapid determination of the metabolic activity and antimicrobial susceptibility by femtosecond SRS C-D imaging of D2O incorporation of bacteria in the normal medium, urine, and whole blood environment at the single-cell level. Femtosecond SRS imaging facilitates monitoring single cell metabolism inactivation concentration (SC-MIC) against antibiotics at the single bacterium level within 2.5 h. The SC-MIC results are validated by standard MIC test via broth microdilution. Our method is applicable for determining antimicrobial susceptibility of bacteria urinary tract infection (UTI) and bloodstream infection (BSI) pathogens with a much reduced assay time compared to the conventional method, which opens the opportunity for rapid phenotypic AST in the clinic at the single-cell level.

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Protocol

The use of human blood specimens is in accordance with the guidelines of the IRB of Boston University and the National Institutes of Health (NIH). Specifically, the specimens are from a bank and are completely deidentified. These specimens are not considered to be human subjects by institutional review board (IRB) office at Boston University.

1. Preparation of bacteria and antibiotics stock solution

  1. Prepare the antibiotics (gentamicin sulfate or amoxicillin) stock solution at a concentration of 1 mg/mL dissolved in sterile1x phosphate-buffered saline (PBS) or dimethyl sulfoxide (DMSO) solvent in 1.5 mL micro tubes. Dissolve gentamicin sulfate in sterile PBS solution and amoxicillin in sterile DMSO solvent. Thereafter, store the antibiotics solution at 2-8 °C as suggested.
  2. To make D2O containing cation-adjusted Mueller-Hinton Broth (MHB) media, add 220 mg of MHB broth base to 10 mL of D2O to make 100% D2O containing medium. Sterilize the solution by filtering with filters of 200 nm pore size.
    NOTE: Use this protocol always for making and sterilizing medium solutions in further steps.
  3. To prepare bacterial samples for SRS imaging, add 2 mL of normal MHB media, which does not contain deuterium, to a sterile round-bottom culture tube, and then prewarm it at 37 °C.
  4. Use a sterile loop to select one bacterial (Escherichia coli BW 25113 or Pseudomonas aeruginosa ATCC 47085) colony from the fresh culture on a tryptic soy agar plate. Then suspend it in the prewarmed culture media and gently vortex to prepare the bacteria suspension.
  5. Incubate bacteria at 37 °C in a shaker at 200 revolutions per minute (rpm) until it reaches the logarithmic phase.

2. D2O incorporation treatment in the presence of antibiotics (Figure 2a)

  1. Check the bacterial concentration by measuring the optical density (OD) with a photometer at a wavelength of 600 nm.
  2. Dilute the bacterial solution using the normal MHB medium, which does not contain deuterium, to reach a final cell concentration of 8 x 105 CFU/mL. Vortex gently to mix the bacterial cells.
  3. Prepare 300 µL aliquots of the bacterial solution in seven 1.5 mL micro tubes, and 600 µL aliquots of the bacterial solution in one 1.5 mL micro tubes.
  4. Add 4.8 µL of antibiotic (gentamicin or amoxicillin) stock solution (1 mg/mL) into the micro tube containing 600 µL of the bacterial solution, to make the final antibiotic concentration to 8 µg/mL.
  5. Take 300 µL of solution out of the 8 µg/mL of antibiotic-containing bacteria solution, and add to another 300 µL of bacterial solution, to make two-fold diluted antibiotic- (4 µg/mL) containing bacteria solution.
  6. Repeat the two-fold serial dilution of the test antibiotics, gentamicin, or amoxicillin, until the micro tube with the lowest concentration (0.25 µg/mL) is reached, and discard 300 µL from the tube. For both gentamicin and amoxicillin, the serial concentrations range from 0.25 µg/mL - 8 µg/mL.
    1. Leave one tube with no antibiotics for blank control. This will be the positive control to inspect the bacterial metabolic activity without antibiotics treatment but with D2O treatment.
    2. Leave one tube with no antibiotics and no D2O for the negative control.
  7. Incubate the bacterial aliquot with the certain antibiotic (gentamicin or amoxicillin) containing MHB medium for 1 h.
  8. During incubation, prepare a serial dilution of antibiotics with 100% D2O containing medium with the same concentration gradient of antibiotics prepared in step 2.6. For both gentamicin and amoxicillin, the serial concentrations range from 0.25 µg/mL - 8 µg/mL.
  9. After 1 h antibiotic treatment, add 700 µL of serially diluted antibiotic and 100% D2O-containing MHB medium to the 300 µL of antibiotic-pretreated bacteria in the same antibiotic concentration (prepared in step 2.6), respectively.
    1. For example, add 700 µL of 100% D2O-containing MHB medium (containing 8 µg/mL of antibiotic) to the 300 µL of 8 µg/mL antibiotic-pretreated bacteria. In the same manner, transfer to the corresponding tubes of the next concentration, and homogenize by pipetting up and down several times.
    2. Add 700 µL of antibiotic-free 100% D2O-containing MHB medium to 300 µL of antibiotic-free bacteria (prepared in step 2.6.1) as a blank control.
    3. Incubate at 37 °C in an incubation shaker at 200 rpm for an additional 30 min.
      NOTE: In this step, the final concentration of D2O in the medium for the test is 70%.
  10. First centrifuge the 1 mL of antibiotic and D2O-treated bacterial sample at 6200 x g for 5 min at 4 °C, and then wash twice with purified water. Finally, fix samples in 10% formalin solution and store them at 4 °C.

3. Preparation of bacteria in urine environment (Figure 2b)

  1. To prepare E. coli BW 25113 at the logarithmic phase, follow the steps at 1.4 and 1.5.
  2. Check the bacterial concentration by measuring the OD with a photometer at a wavelength of 600 nm.
  3. To mimic the clinical UTI samples14,18,41, spike the E. coli solution into 10 mL of deidentified urine to reach a final cell concentration of 106 CFU/mL.
  4. Filter the E. coli spiked urine using a 5 µm filter, and then divide the bacterial solution in 300 μL aliquots into seven 1.5 mL micro tubes, and 600 µL aliquots of the bacterial solution in one 1.5 mL micro tubes.
  5. Perform D2O incorporation treatment in the presence of antibiotics and sample collection as described in the previous steps from 2.4 to 2.10.

4. Preparation of bacteria in blood environment (Figure 2c)

  1. To prepare Pseudomonas aeruginosa ATCC 47085 at the logarithmic phase, follow the steps at 1.4 and 1.5.
  2. To mimic the clinical bloodstream infections samples42,43, spike P. aeruginosa in 1 mL of deidentified human blood to reach a concentration of 107 CFU/mL.
  3. Add 9 mL of sterile purified water to lyse the blood.
  4. Filter the P. aeruginosa spiked blood using a 5 µm filter. Then harvest bacteria to 1 mL volume by centrifugation at 6200 x g for 5 min at 4 °C. Add 9 mL of pre-warmed normal MHB into the bacteria solution and gently vortex. The final concentration of bacteria is 106 CFU/mL
  5. Divide the P. aeruginosa spiked blood solution in 300 μL aliquots into seven 1.5 mL micro tubes, and 600 µL aliquots of the bacterial solution in one 1.5 mL micro tubes.
  6. Perform D2O incorporation treatment in the presence of antibiotics and sample collection as described in the previous steps from 2.4 to 2.10.

5. SRS imaging of D2O metabolic incorporation in a single bacterium

  1. Wash 1 mL of fixed bacteria solution with purified water and then centrifuge at 6200 x g for 5 min at 4 °C. Remove the supernatant. Enrich the bacterial solution to about 20 µL.
  2. Deposit the bacterial solution on a poly-L-lysine coated coverglass. Sandwich and seal the sample for SRS imaging.
  3. Image bacteria at the C-D vibrational frequency at 2168 cm-1 using an SRS microscope.
    1. Input and tune the pump wavelength to 852 nm using the control software on a computer.
    2. Measure the laser power using a power meter. Set the power of pump laser at the sample to ~8 mW and the power of Stokes laser at the sample to ~40 mW by adjusting the half-wave plate in front of the laser output.
      NOTE: In the SRS microscope, a tunable femtosecond laser with an 80-MHz repetition rate provides the pump (680 to 1300 nm) and Stokes (1045 nm) excitation lasers.
  4. By adjusting the screws of the reflection mirrors, spatially align the pump and Stokes beams and direct the two beams into an upright microscope equipped with 2D galvo mirror system for laser scanning.
    1. Use a 60x water immersion objective to focus the pump and Stokes lasers on the sample.
    2. Use an oil condenser to collect the signals from the sample in the forward direction.
    3. Use a bandpass filter to filter out the Stokes laser before directing it into a photodiode.
    4. Extract the stimulated Raman signal by a lock-in amplifier and detect the signals by the photodiode.
  5. Set each SRS image to contain 200 x 200 pixels and the pixel dwell time for 30 µs in the software's control panel. The total acquisition time for one image is ~1.2 s. Set the Step size to 150 nm, so the image size is about 30 x 30 µm2. Image at least three field of views for each sample.

6. Image processing and data analysis ( Figure 3)

  1. To obtain the average C-D signal intensity, open and process SRS images with ImageJ software.
  2. First, convert SRS images into 8-bit type images with inverted color by clicking Image | Type | 8-bit, and then Edit | Invert buttons in the ImageJ software.
  3. Then, filter the images with Gaussian blur by clicking Process | Filters | Gaussian blur buttons and set the Sigma (Radius) to 1.
  4. Use image threshold adjustment to select the bacterial area. Click Image | Adjust | Threshold to ensure the selected bacterial sizes match those in the original SRS images. Eliminate small particles by adjusting the size threshold to determine the particles. Click Apply.
  5. Apply Analyze | Particles Analysis buttons to label and determine the area of bacteria.
  6. By clicking the Show All button in the ROI manager to the original unprocessed SRS image, label the same area of bacteria, determine the average intensity of each data point by clicking the Measure button in the ROI manager.
  7. Circle the background area in the original SRS image and measure the average intensity of the background. The average C-D intensities of each bacterium is obtained by deducting the background signal intensity.

7. Quantitation of antimicrobial susceptibility via SC-MIC

NOTE: The cut-off value at 0.60 to determine the SC-MIC is established according to the statistical analysis of the SRS C-D intensities of the metabolism-active and metabolism-inhibited conditions for bacteria upon various concentrations of drug exposure40. The C-D intensities for the antibiotic-susceptible and antibiotic-resistant groups were fitted with normal distribution.

  1. Plot the receiver operating characteristic (ROC) curve and evaluate the cut-off threshold at 0.60. Based on this cut-off value, the SC-MIC as an indicator of the efficacy of antibiotics can be defined to determine the metabolically inactive and metabolically active group.
  2. To quantitatively analyze the SRS imaging data, plot the histograms of C-D signal intensities for each bacteria group treated with the serially diluted antibiotic concentration. The colored data points stand for different individual bacterium.
  3. Normalize the C-D intensities of antibiotic-treated group to the mean intensity of the control group without antibiotic treatment. Determine the SC-MIC results of different bacteria and antibiotic combinations by quantifying the SRS signal intensities at C-D region versus various concentration of antibiotics using the cut-off value at 0.60.
  4. Validate and compare the SC-MIC readout with the MIC determined using conventional broth microdilution assay.
  5. According to the Clinical and Laboratory Standards Institute (CLSI), the susceptibility category based on the SRS metabolic imaging results for each tested bacterial strain is interpreted as "susceptible", "resistant", or "intermediate".

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Representative Results

The effect of incubation time on deuterium incorporation is measured by spontaneous Raman microspectroscopy at the C-D (2070 to 2250 cm-1) and C-H (2,800 to 3,100 cm-1) region (Figure 4a). The time-lapse single-cell Raman spectra of P. aeruginosa cultured in 70% D2O containing medium show increasing CD/CH intensity over incubation time from 0 to 180 min. (Figure 4b) The increasing C-D abundance in single microbial cells reveals that D2O is incorporated into deuterated biomolecules inside the cell.

D2O labeling above 50% affects bacterial metabolism significantly during a 23 h incubation period27. We observed bacterial growth inhibition when D2O labeling concentration is above 70% during a 25 h incubation period (Figure S1). We have performed MIC by gold standard broth dilution and obtained SC-MIC results in two P. aeruginosa strains (P. aeruginosa ATCC 47085 and P. aeruginosa 1133) (Table S1). Our current results show that 70% D2O does not affect the performance of our method in P. aeruginosa. The category agreement of our SC-MIC method with the conventional culture-based method is 100% for all the tested P. aeruginosa and antibiotic combinations, as shown in Table S1. We attribute this good agreement to the minimal toxicity of 70% D2O on P. aeruginosa during the 30 min incubation period in SC-MIC determination.

Following the protocol, P. aeruginosa was incubated with serially diluted gentamicin for 1 h and then 70% D2O for additional 30 min. SRS metabolic imaging at ~2168 cm-1 (Figure 5a) was conducted. The C-D intensities upon antibiotic treatment are divided by the mean value of the control group, which is without antibiotic treatment. The quantitative statistical analysis (Figure 5b) showed that C-D signals of P. aeruginosa were significantly lower at 2 µg/mL or higher gentamicin concentration than that without gentamicin treatment (0 µg/mL). Using the cut-off threshold at 0.60, the P. aeruginosa was metabolically inhibited at 2 µg/mL and higher concentrations of gentamicin. The dotted line shows the defined cut-off value at 0.60 in Figure 5b. In this way, the SC-MIC for P. aeruginosa against gentamicin in normal MHB medium was determined to be 2 µg/mL. This SC-MIC value is verified to be within the one-fold difference range with the MIC (4 µg/mL) determined by the broth microdilution method (Figure 5c). Taken together, SC-MIC determined by our technology enables quantification of antimicrobial susceptibility.

To explore the potential of rapid AST by SRS imaging of deuterium metabolic incorporation for clinical applications, especially for the most prevalent UTI infection, we tested bacteria-spiked urine sample using E. coli, the most common pathogen to cause UTI infection44. To mimic the clinical UTI samples at a relavent bacterial concentration, E. coli is added to the deidentified urine to a final concentration of 106 CFU/mL. After sample purification, the urine samples were incubated with amoxicillin and D2O. The clean background in the SRS images showed that the sample preparation protocol was applicable for rapid AST measurement (Figure 5d). The SC-MIC for the E. coli-spiked urine sample against amoxicillin was determined to be 4 µg/mL (Figure 5e), which has the same susceptibility readout with the MIC (8 µg/mL) by conventional broth dilution method for pure E. coli in normal MHB medium (Figure 5f). These results collectively showed that rapid AST by SRS imaging of deuterium metabolic incorporation is of great potential for clinical diagnosis to UTI infectious pathogens.

As compared with UTI infection, rapid AST for BSI pathogens is much more challenging for in situ study of bacterial metabolic activity, as a lot of blood cells presenting in blood. To investigate the applicability of rapid AST by SRS imaging of D2O metabolic incorporation for clinical BSI samples, P. aeruginosa spiked in deidentified human blood was detected. As shown in Figure 5g, the C-D intensity of SRS image at 2168 cm-1 was dominated by bacterial signals. Since the red blood cells do not have metabolic activity to uptake D2O for further biosynthesis, the C-D signals were originated from the metabolic deuterium incorporation of live bacteria. The cross-phase modulation or photothermal signal of debris or red blood cells species contributed to the weak background signals, without affecting the quantitative analysis of the SC-MIC. The SC-MIC result for P. aeruginosa in blood was determined to be 2 µg/mL (Figure 5h), which agreed well with the conventional standard MIC result for P. aeruginosa in normal growth medium (Figure 5i). Taken together, these results showed that SRS metabolic imaging of deuterium metabolic incorporation can be a rapid AST method to determine the SC-MIC for bacteria in BIS infections.

Figure 1
Figure 1: Scheme for D2O incorporation into deuterated lipid and protein25,26. Deuterium can be incorporated into biomass inside a cell through enzyme-catalyzed H/D exchange reaction between the redox-active hydrogen atom in NADPH and the D atom in D2O. Deuterated fatty acid synthesis reaction is mediated by the deuterium labeled NADPH. The D2O incorporation into reactions of amino acids results in the deuterated proteins production. This figure has been modified from ref.40. Please click here to view a larger version of this figure.

Figure 2
Figure 2: Workflow of rapid AST by SRS metabolic imaging of deuterium incorporation. (a) D2O incorporation treatment in the presence of antibiotics in MHB medium, and the following SRS imaging procedures. (b) Preparation of bacteria in urine environment. (c) Preparation of bacteria in the blood environment. This figure has been modified from ref.40. Please click here to view a larger version of this figure.

Figure 3
Figure 3. Automated image processing and data interpretation. (a) Raw SRS image. (b) Image after intensity threshold adjustment to determine the area of bacterial cells. (c) Data points selected after particle analysis step. (d) The corresponding data points are selected in the raw image. (e) Results of the corresponding data points in the raw image. (f) Statistical results of the average intensity of the data points after subtraction of background. Scale bar: 10 µm. This figure has been modified from ref.40. Please click here to view a larger version of this figure.

Figure 4
Figure 4. Effect of incubation time on deuterium incorporation into bacteria. (a) Time-lapse measurement at C-D (2070 to 2250 cm-1) and C-H (2,800 to 3,100 cm-1) region by spontaneous Raman microspectroscopy (averaged from 20 spectra). (b) Histogram plot of CD/CH intensity ratio plot over D2O incubation time for bacteria in (a). Each colored point stands for a measurement from a single bacterium. Error bars represent the standard error of the mean (SEM). Please click here to view a larger version of this figure.

Figure 5
Figure 5. SC-MIC determination using SRS imaging of bacterial metabolic incorporation of D2O against antibiotics in normal medium, urine and blood environment. (a) SRS imaging at C-D vibration (2168 cm-1) and the corresponding transmission images of P. aeruginosa in the presence of D2O with the addition of serially diluted gentamicin in normal MHB medium. (b) Quantitative analysis of SRS C-D intensity of P. aeruginosa in (a). The colored data points in the histogram stand for the different individual bacterium. The dotted line indicates the cut-off value at 0.60. (c) The comparison of the SC-MIC readout with the MIC by broth microdilution method, and susceptibility category for P. aeruginosa according to the CLSI. (d) SRS imaging at C-D vibration (2168 cm-1) and corresponding transmission images of E. coli in urine after incubation in D2O with the serially diluted amoxicillin. (e) Quantitative analysis of SRS C-D intensity in (d). (f) The comparison of the SC-MIC readout and susceptibility category for E. coli in normal MHB and in urine. (g) SRS imaging at C-D vibration (2168 cm-1) and corresponding transmission images of P. aeruginosa in blood after incubation in D2O with the serially diluted gentamicin. (h) Quantitative analysis of SRS C-D intensity in (g). (i) The comparison of the SC-MIC readout and susceptibility category for P. aeruginosa in normal MHB and in blood. S: sensitive. Number of cells N ≥ 10 per group. Error bars represent the SEM. Scale bar: 10 µm. This figure has been modified from ref.40. Please click here to view a larger version of this figure.

Problem Possible reason Solution
Little or no bacterial cell number in imaging field of view Bacterial density in the solution is too low Centrifuge for longer time to further enrich bacteria
Photodamage of the bacterial cells during SRS imaging The laser power used is too high Tune down the laser power to an appropriate value
No SRS signal is detectable The spatial and temporal overlap of the pump and Stokes beam is not optimized Align the pump and Stokes beams using a standard sample deuterated dimethyl sulfoxide

Table 1: Troubleshooting table.

Figure S1: Testing D2O toxicity on P. aeruginosa cultured in Lauria-Bertani (LB) medium with different D2O concentrations. Error bars indicate standard deviation values (number of measurements = 5). Please click here to download this Figure.

Table S1. Comparison of SC-MICs and MICs in normal MHB of P. aeruginosa upon antibiotics treatment. S: sensitive; R: resistant; I: Intermediate. Please click here to download this Table.

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Discussion

Rapid AST can be obtained by assessing the response of bacterial metabolic activity to antibiotic treatment using single-cell SRS metabolic imaging within 2.5 h from the sample to SC-MIC results. The response of bacterial metabolic activity and antimicrobial susceptibility can be detected by monitoring the metabolic incorporation of D2O for biomolecule synthesis using SRS imaging of C-D bonds. Since water is ubiquitously used in living cells, SRS metabolic imaging provides a universal method for rapid AST. The rapid AST method is applicable to detect bacteria in complex biological environments, such as urine or whole blood at a single bacterium level. The SC-MIC can be determined after 1.5 h culture of bacteria in urine and blood, which is considered transformative to shift the paradigm of UTI and BSI diagnosis from a time-consuming culture-dependent procedure to a culture-independent in situ approach. Therefore, it means a tremendous reduction in diagnosis time as compared with the conventional broth microdilution method, which paves the way towards clinical translation allowing for on-time identification of appropriate antimicrobial agents for precise treatment.

The protocols for antibiotics treatment described here follow the guidelines of the CLSI, in which the suggested MHB medium can be generally used for the cultivation of a wide variety of microorganisms. A key parameter is that the bacterial cell number used for antimicrobial susceptibility testing is kept at about 5 x 105 CFU/mL as recommended in CLSI. This is of critical importance for obtaining accurate and reproducible results. In antibiotics treatment experiments, the bacteria concentration is set at 8 x 105 CFU/mL. Higher bacteria concentration can lead to an increase in the MIC results. Once the bacterial suspension is adjusted, it must be used within 30 min to avoid changes in the bacterial cell concentration.

For susceptibility testing of an antibiotic such as daptomycin, it is recommended to supplement 50 mg/L of calcium in the media. The cation adjusted MHB medium contains 20-25 mg/L of Ca2+. Therefore, ensure that the medium is further supplemented with additional Ca2+ (solubilized in water and filter sterilized) in the concentration of 30 mg/L.

Another critical step in the presented method is the incubation time of bacteria upon antibiotics exposure and D2O incorporation. Because the generation time of the bacterial life cycle is roughly 30 to 60 min, it is important to influence bacterial metabolic activity upon antibiotic exposure for a certain time.This test has been evaluated for a variety of bacteria-antibiotic combinations to antibiotic exposure for 1 h prior to 0.5 h D2O treatment. The first 1 h antibiotic treatment step is essential to influence the bacterial metabolic activity. Next, bacteria are incubated with D2O-containing and antibiotic-containing medium for an additional 30 min. The final antibiotic concentrations are maintained at the same level, and the final concentration of D2O is adjusted to 70%. Overall, after 1 h antibiotic preculture and following 0.5 h of D2O and antibiotic incorporation, the SC-MIC results are then determined by SRS metabolic imaging of the bacterial metabolic activity. This design minimizes the impact of D2O influence of antimicrobial activity to bacteria and also leads to a comparable readout of SC-MIC results with the MICs by the conventional method.

In the SC-MIC measurements, we prepare in parallel 40 samples, including 5 different antibiotics, each with 8 concentrations at the same time. However, because there are a lot of manual operation procedures, the total assay time for detecting the AST for five different bacteria-antibiotics combinations is longer than 2.5 h. In our method, each SRS image containing ~20 individual bacterial cells was obtained within ~1.0 s in one single shot at 30 μs pixel dwell time. We estimate the total AST assay time to study 10 antibiotics for one bacterial strain would be less than 2.5 h from sample to SC-MIC readout, which has tremendous possibility to perform high throughput measurement. In future work, an automated sample preparation and imaging data acquisition method will be employed to further improve the throughput. The troubleshooting details are provided in Table 1.

In conventional culture-based AST methods, to obtain bacterial isolates for further measurements, it is necessary to pre-incubate clinical specimens for hours. Advanced AST methods for clinical UTI sample, such as Raman spectroscopy29, nanoliter array6, and digital nucleic acid quantification18, have been developed to get rid of long-time preincubation. Compared with UTI infection, the BSI or sepsis is much more life-threatening18,45, where rapid AST is urgently needed for precise diagnostics in the clinic. A microscopic imaging method to measure bacterial colony formation from positive blood cultures has been reported to provide MIC results46. However, it takes at least 6 h to grow bacteria to conduct the AST assay. Furthermore, commercial automatic systems47 and mass spectrometry48,49 strategies can provide AST readout from positive blood cultures. However, the MIC results for the clinical decision cannot be provided. The AST results and the MIC readout are significant to avoid excess dosage of antibiotics to patients to cause potential side effects in clinics, to slow and prevent the spread of the antimicrobial resistant infections50,51. Compared with the existing spontaneous Raman microscopy-based AST methods, our technology tremendously reduces data acquisition time (ca. 600 times less) due to orders-of-magnitude signal enhancement. In this work, we demonstrate rapid AST by SRS imaging of deuterium metabolism in single bacteria at a clinically relevant bacterial concentration (105~106 CFU/ml) in either urine or whole blood environment. As shown in previous results, the MIC results are determined after 1 h antibiotic treatment and 30 min mixture of D2O and antibiotics incubation into bacteria in urine and blood. Our method can provide MICs and susceptibility classification for each strain-antibiotic combination within 2.5 h, and, therefore, opens a new avenue to clinical translation. To summarize, without the need of preculturing and bacterial division, our method has an enormous potential in the field of rapid and high throughput AST in infectious diseases.

Our SC-MIC method by SRS metabolic imaging is applicable to detect MICs and provide susceptibility classification for infectious pathogens when dealing with abundant varieties of strain-antibiotic combinations for clinical use. The SC-MIC is determined after 30-min of D2O incorporation into bacteria in urine and blood, which means a tremendous reduction in diagnosis time compared with the conventional broth dilution method costing 16 to 24 h for preincubation. To deliver pathogen identification information for clinical decision-making, SRS metabolic imaging technology can be further integrated with diagnostic platforms capable of rapid pathogen identification, such as, matrix-assisted laser desorption ionization-time-of-flight mass spectrometry49,52,53. Combining in situ pathogen identification and rapid AST diagnosis could be of great potential for translation into clinic that allows for on-time identification of appropriate antimicrobial agents for precise treatment.

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Disclosures

The authors have no conflicts of interest to disclose.

Acknowledgments

This work was supported by NIH R01AI141439 to J.-X.C and M.S, and R35GM136223 to J.-X.C.

Materials

Name Company Catalog Number Comments
Acousto-optic modulation Gooch&Housego R15180-1.06-LTD Modulating stokes laser beam
Amoxicillin Sigma Aldrich A8523-5G
Bandpass filter Chroma HQ825/150m Block the stokes laser beam before the photodiode
Calcium chloride Sigma Aldrich C1016-100G Cation adjustment
Cation-adjusted Mueller-Hinton Broth Fisher Scientific B12322 Antimicrobial susceptibility testing of microorganisms by broth dilution methods
Centrifuge Thermo Scientific 75002542
Cover Glasses VWR 16004-318
Culture tube with snap cap Fisher brand 149569B
Daptomycin Acros A0386346
Deuterium oxide 151882 Organic solvent to dissolve antibiotics
Deuterium oxide-d6 Sigma Aldrich 156914 Organic solvent as a standard to calibrate SRS imaging system
Escherichia coli BW 25113 The Coli Genetic Stock Center 7636
Eppendorf polypropylene microcentrifuge tubes 1.5 mL Fisher brand 05-408-129
Gentamicin sulfate Sigma Aldrich G4918
Hydrophilic Polyvinylidene Fluoride filters Millipore-Sigma SLSV025NB pore size 5 µm
ImageJ software NIH Version: 2.0.0-rc-69/1.52t Image processing and analysis
Incubating orbital shaker set at 37 °C VWR 97009-890
Inoculation loop Sigma BR452201-1000EA
InSight DeepSee femtosecond pulsed laser Spectra-Physics Model: insight X3 Tunable laser source and fixed laser source at 1045 nm for SRS imaging
Lock-in amplifier Zurich Instrument HF2LI Demodulate the SRS signals
Oil condenser Olympus U-AAC NA 1.4
Pseudomonas aeruginosa ATCC 47085 (PAO1) American Type Culture Collection ATCC 47085
Photodiode Hamamatsu S3994-01 Detector
Polypropylene conical tube 15 mL Falcon 14-959-53A
Polypropylene filters Thermo Scientific 726-2520 pore size 0.2 µm
Sterile petri dishes Corning 07-202-031
Syringe 10 mL Fisher brand 14955459
UV/Vis Spectrophotometer Beckman Coulter Model: DU 530 Measuring optical density at wavelength of 600 nm
Vortex mixer VWR 97043-562
Water objective Olympus UPLANAPO/IR 60×, NA 1.2

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References

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Tags

Rapid Antimicrobial Susceptibility Testing Stimulated Raman Scattering Imaging Deuterium Incorporation Single Bacterium Analysis Time Reduction Broth Microdilution Method Bacterial Metabolic Activity Optical Density Measurement Bacterial Concentration MHB Medium Antibiotic Stock Solution Final Antibiotic Concentration Twofold Serial Dilution Test Antibiotics
Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium
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Zhang, M., Seleem, M. N., Cheng, J.… More

Zhang, M., Seleem, M. N., Cheng, J. X. Rapid Antimicrobial Susceptibility Testing by Stimulated Raman Scattering Imaging of Deuterium Incorporation in a Single Bacterium. J. Vis. Exp. (180), e62398, doi:10.3791/62398 (2022).

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