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W tym Artykule

  • Podsumowanie
  • Streszczenie
  • Wprowadzenie
  • Protokół
  • Wyniki
  • Dyskusje
  • Ujawnienia
  • Podziękowania
  • Materiały
  • Odniesienia
  • Przedruki i uprawnienia

Podsumowanie

This protocol describes the extraction of volatile organic compounds from a biological sample with the vacuum-assisted sorbent extraction method, gas chromatography coupled with mass spectrometry using the Entech Sample Preparation Rail, and data analysis. It also describes culture of biological samples and stable isotope probing.

Streszczenie

Volatile organic compounds (VOCs) from biological samples have unknown origins. VOCs may originate from the host or different organisms from within the host's microbial community. To disentangle the origin of microbial VOCs, volatile headspace analysis of bacterial mono- and co-cultures of Staphylococcus aureus, Pseudomonas aeruginosa, and Acinetobacter baumannii, and stable isotope probing in biological samples of feces, saliva, sewage, and sputum were performed. Mono- and co-cultures were used to identify volatile production from individual bacterial species or in combination with stable isotope probing to identify the active metabolism of microbes from the biological samples.

Vacuum-assisted sorbent extraction (VASE) was employed to extract the VOCs. VASE is an easy-to-use, commercialized, solvent-free headspace extraction method for semi-volatile and volatile compounds. The lack of solvents and the near-vacuum conditions used during extraction make developing a method relatively easy and fast when compared to other extraction options such as tert-butylation and solid phase microextraction. The workflow described here was used to identify specific volatile signatures from mono- and co-cultures. Furthermore, analysis of the stable isotope probing of human associated biological samples identified VOCs that were either commonly or uniquely produced. This paper presents the general workflow and experimental considerations of VASE in conjunction with stable isotope probing of live microbial cultures.

Wprowadzenie

Volatile organic compounds (VOCs) have great promise for bacterial detection and identification because they are emitted from all organisms, and different microbes have unique VOC signatures. Volatile molecules have been utilized as a non-invasive measurement for detecting various respiratory infections including chronic obstructive pulmonary disease1, tuberculosis2 in urine3, and ventilator-associated pneumonia4, in addition to distinguishing subjects with cystic fibrosis (CF) from healthy control subjects5,6. Volatile signatures have even been used to distinguish specific pathogen infections in CF (Staphylococcus aureus7, Pseudomonas aeruginosa8,9, and S. aureus vs. P. aeruginosa10). However, with the complexity of such biological samples, it is often difficult to pinpoint the source of specific VOCs.

One strategy for disentangling the volatile profiles from multiple infecting microbes is to perform headspace analysis of microorganisms in both mono- and co-culture11. Headspace analysis examines the analytes emitted into the "headspace" above a sample rather than those embedded in the sample itself. Microbial metabolites have often been characterized in mono-cultures because of the difficulty in determining the origin of microbial metabolites in complex clinical samples. By profiling volatiles from bacterial mono-cultures, the types of volatiles a microbe produces in vitro may represent a baseline of its volatile repertoire. Combining bacterial cultures, e.g., creating co-cultures, and profiling the volatile molecules produced may reveal the interactions or cross-feeding between the bacteria12.

Another strategy for identifying the microbial origin of volatile molecules is to provide a nutrient source that is labeled with a stable isotope. Stable isotopes are naturally occurring, non-radioactive forms of atoms with a different number of neutrons. In a strategy that has been utilized since the early 1930s to trace active metabolism in animals13, the microorganism feeds off of the labeled nutrient source and incorporates the stable isotope into its metabolic pathways. More recently, a stable isotope in the form of heavy water (D2O) has been used to identify metabolically active S. aureus in a clinical CF sputum sample14. In another example, 13C-labeled glucose has been used to demonstrate the cross-feeding of metabolites between CF clinical isolates of P. aeruginosa and Rothia mucilaginosa12 .

With the advancement of mass spectrometry techniques, methods of detecting volatile cues have moved from qualitative observations to more quantitative measurements. By using gas chromatography mass spectrometry (GC-MS), processing of biological samples has become within reach for most laboratory or clinical settings. Many methods to survey volatile molecules have been used to profile samples such as food, bacterial cultures, and other biological samples, and air and water to detect contamination. However, several common methods of volatile sampling with high-throughput require solvent and are not performed with the advantages provided by vacuum extraction. In addition, larger volumes or quantities (greater than 0.5 mL) of sampled materials are often required for analysis15,16,17,18,19, although this is substrate-specific and requires optimization for each sample type and method.

Here, vacuum-assisted sorbent extraction (VASE) followed by thermal desorption on a GC-MS was employed to survey the volatile profiles of bacterial mono- and co-cultures and identify actively produced volatiles with stable isotope probing from human feces, saliva, sewage, and sputum samples (Figure 1). With limited sample quantities, VOCs were extracted from as little as 15 µL of sputum. Isotope probing experiments with human samples required adding a stable isotope source, such as 13C glucose, and media to cultivate the growth of the microbial community. The active production of volatiles was identified as a heavier molecule by GC-MS. Extraction of volatile molecules under a static vacuum enabled the detection of volatile molecules with increased sensitivity20,21,22.

Protokół

1. Headspace Sorbent Pen (HSP) and sample analysis considerations

NOTE: The HSP containing the sorbent Tenax TA was selected to capture a broad range of volatiles. Tenax has a lower affinity for water compared to other sorbents, which enables it to trap more VOCs from higher-moisture samples. Tenax also has a low level of impurities and can be conditioned for re-use. Sorbent selection was also made in consideration with the column installed in the GC-MS (see the Table of Materials).

  1. Generate negative controls by extracting media and/or sample blanks with the same conditions used for sample extraction.
  2. Analyze a blank HSP (previously confirmed to be clean and free of significant background) on the GC-MS before analyzing extracted samples. Run blanks between sample types (e.g., three replicates of bacteria mono-culture, blank, three replicates of bacteria co-culture, blank, etc.).
  3. Limit use of fragrant personal care items or consumption of smelly foods prior to sample extraction and analysis. Ideally, prepare samples in a biosafety hood that has not been cleansed by alcohol or other volatile cleaners for at least 30 min. Turn on airflow in the biosafety hood for 30-60 min prior to sample preparation.
  4. Keep samples on ice to limit volatile release during sample preparation.

2. Mono- and co-culture preparation

  1. In the biosafety hood, inoculate cultures of A. baumannii, S. aureus, and P. aeruginosa in Todd Hewitt growth media. Incubate overnight at 37 °C with 200 rpm agitation.
  2. After the overnight incubation, perform culture handling in the biosafety hood. Dilute each culture to optical density 0.05 at 500 nm.
  3. Mix co-cultures in equal parts, and pipette 200 µL of control media, mono-, or co-culture into each well of a 96-well plate, and place in 37 °C incubator for 24 h. Prepare a second plate for a 48-h incubation.
  4. At the end of the incubation period, prepare samples for extraction in section 4. Pipette liquid cultures into microcentrifuge tubes and store at -80 °C.
    NOTE: At this point, samples can be stored at -80 °C to extract later if needed.

3. Stable isotope probing in biological samples preparation

NOTE: The feces and saliva samples were donated from anonymous donors with approval from the University of California Irvine Institutional Review Board (HS# 2017-3867). The sewage came from San Diego, CA. The sputum samples were collected from subjects with cystic fibrosis as part of a larger study approved by the University of Michigan Medical School Institutional Review Board (HUM00037056).

  1. Perform all biological sample preparations in the biosafety hood.
    1. To prepare fecal samples, add 1 mL of deionized water to 100 mg of feces in a 1.5 mL microcentrifuge tube and vortex for 3 min. Place on ice when not in use.
      1. To 15 µL of fecal and water mixture, add 485 µL of Brain Heart Infusion (BHI) medium with 20 mM 13C glucose, or BHI with 30% deuterium (D2O). Ensure that the final volume of the sample is 500 µL. Prepare samples in technical triplicates.
    2. To prepare sewage samples, add 500 µL of sewage to 500 µL of BHI with 20 mM 13C glucose or BHI with 30% D2O for a total volume of 1 mL. Prepare samples in triplicate. Place on ice when not in use.
    3. To prepare saliva samples, add 50 µL of saliva to 500 µL of BHI with 20 mM 13C glucose or BHI with 30% D2O for a total volume of 550 µL. Prepare samples in triplicate. Place on ice when not in use.
    4. To prepare sputum samples to compare the volatiles present in the sample prior to and after culturing, perform a first extraction with 15 µL of sputum. Prepare samples in triplicate. Place on ice when not in use. Proceed to section 4 for sample extraction, and extract for 18 h at 37 °C with 200 rpm agitation.
    5. After the completion of the first extraction of the uncultured sputum samples, save the vials with sputum. Add 500 µL of BHI with 20 mM 13C glucose to the vials with sputum from 3.5.1. Place on ice when not in use.
  2. Proceed to section 4 for sample extraction.

4. Sample extraction

  1. Place empty volatile organic analysis (VOA) vials (20 mL) on the cold plate, and place the cold plate on ice in the biosafety hood.
  2. Turn on the 5600 sorbent pen extraction unit (SPEU), and adjust to the desired temperature as required for each method.
    NOTE: For stable isotope probing experiments at 37 °C, reaching the setpoint can take up to 15 min. For mono- and co-culture experiments at 70 °C, reaching the setpoint can take up to 60 min.
  3. Collect clean HSPs that are equal to the number of samples prepared, including HSPs for media or sample controls.
  4. Label 20 mL VOA vials according to samples, replicates, and HSP IDs as needed. Use a marker that resists water in case condensation forms on the outside of the vial while on ice.
  5. Inside the biosafety hood, unscrew the white cap on the vial, quickly pipet sample into the vial, and assemble the black cap, lid liner, and HSP.
    NOTE: Samples should not come into contact with the HSP, and sample volume will depend on sample type.
  6. Place the vial containing the sample and HSP back on the cold plate.
  7. Repeat steps 4.5 and 4.6 for each sample. Perform these steps per sample instead of all at once to prevent sample warming and thus, premature volatile release.
  8. Once all samples have been prepared in the glass vials, perform the following steps outside the biosafety hood on the bench. Turn on the vacuum pump, place the vials under vacuum to 30 mmHg, and remove the vacuum source.
    NOTE: The vials do not need to be on the cold tray after vacuum application has been completed.
  9. Double-check the pressure after placing all samples under vacuum using the pressure gauge. If a vial has a leak, ensure that the cap is screwed on tightly, and that the white O-rings of the HSP and lid liners are properly in place.
    NOTE: A compromised seal can result in decreased volatile detection compared to a vial under vacuum.
  10. Place vials in the SPEU for the optimized time and temperature with agitation at 200 rpm. Extract cultures for 1 h at 70 °C. Extract stable isotope probing experiments with fecal, sewage, saliva, and sputum samples for 18 h at 37 °C.
  11. Place the cold plate at -80 °C for use after the extraction period is complete.
  12. When extraction is complete, place samples on the cold plate for 15 min to draw out water vapor from the HSP and vial headspace.
  13. Transfer the HSPs to their sleeves.
    ​NOTE: The experiment can be paused here for up to ~1 week at room temperature before losing the more highly volatile compounds from the HSPs.

5. Analyze samples on the gas chromatography - mass spectrometer (GC-MS)

  1. Use the following GC-MS (see the Table of Materials) settings: 35 °C with a 5 min hold, 10 °C/min ramp to 170 °C, and a 15 °C/min ramp to 230 °C with a 20:1 split ratio and a total runtime of 38 min.
  2. Set the desorption method as follows: 2 min, 70 °C preheat; 2 min 260 °C desorption; 34 min, 260 °C bakeout; and 2 min, 70 °C post bake.
  3. Set up the sequence of samples, and start the run according to instrumentation.
    1. To set up a sequence on the Entech Software, open the program. In the options to the right of the instrument dropdown menu, select 5800 | Sequence.
    2. Observe the sequence table in the Entech software similar to that in the GC-MS software. Name the Sample ID column according to Current date_vial number. Keep in mind that Name is analogous to Name in the GC-MS sequence table, and 5800 Method determines the rate of temperature ramp, holding times, etc. (opens a menu to select the method generated in step 5.2).
    3. Keep in mind that the Tray and Position columns determine where the Sample Preparation Rail (SPR) will go to pick up the HSPs.
      1. Observe the two trays with 30 spots each to the immediate left, laid out as six columns with five spots each. The tray position that is left most and closest to the user (front) is position 1, while the rightmost, furthest away is position 30.
      2. Note that these trays are HSP A or B, where HSP B is the tray closer to the SPR (innermost tray), and directly behind HSP B is HSP Blank. Place the extracted samples into the trays, and select the spot on the sequence accordingly.
    4. Save the sequence table, select Run on the left-hand side, then Start with blank in desorber if the blank HSP is in the desorber (denoted by a HSP marked by yellow label).
  4. Note that HSPs will be handled by the SPR for each sample in the sequence. Let the SPR warm up, then a message will appear at the top of the screen to confirm if the blank is in the desorber. Click on Skip to confirm that the pen is there. Allow the SPR to run all samples automatically, and the sequence on the GC-MS side will automatically record the data in separate files.

6. Data analysis

  1. Quality-filter data on GC-MS software (Table of Materials).
    1. Review each peak on the chromatogram, and annotate peaks that match the National Institute of Standards & Technology (NIST) library (or with another available library).
    2. Add annotated chromatogram peaks to the processing method. Set the criteria for selecting peaks to include compounds with a greater than 75% probability, and ensure that the alignment of each identifying ion of the compound lies within the center of the peak.
      1. To add a peak to the processing method, select Calibrate | Edit Compound | Name | insert compound under External Standard Compound. Add the name of the compound, retention time, Quant Signal Target Ion. Add the three largest peaks. To save, select ok | Method | Save.
    3. Once the process method is set up, proceed to Quantitate | Calculate, and View | QEdit Quant Result.
    4. Inspect each compound to ensure that the peaks align with their expected retention times and are above background noise.
    5. Once QEdit has been completed, select Exit | Yes to save the QEdits and return to the main chromatogram. Export the area integrations by opening the file on the left-hand side. Select Quantitate | Generate Report.
    6. To export files for use in DExSI, select File | Export Data to AIA format | Create New Directory, and select a location for the file or Use Existing Directory.
    7. Observe a new window opening up to select files for export. Move the files to the right side of the window and click on Process. Wait for a few seconds to a few minutes depending on the number of files being converted.
  2. Correct for isotope abundance in DExSI according to instructions for the DExSI software (https://github.com/DExSI/DExSI), and perform analysis with a favorite software or program (e.g., R). Scripts used to generate the figures are located at https://github.com/joannlp/VOC_SIP.

Wyniki

Mono- and co-cultures of S. aureus, P. aeruginosa, and A. baumannii
The mono- and co-cultures consisted of the bacterial species S. aureus, P. aeruginosa, and A. baumannii. These are common opportunistic pathogens found in human wounds and chronic infections. To identify the volatile molecules present in the mono- and co-cultures, a short 1-h extraction was performed at ...

Dyskusje

To identify volatile production in in vitro cultures and human-associated samples, volatile analysis of mono- and co-cultures of P. aeruginosa, S. aureus, and A. baumanii and stable isotope probing of different biological samples were performed. In the analysis for the mono- and co-cultures, volatiles were detected by performing a short extraction for 1 h at 70 °C. The volatile analysis of mono- and co-cultures allowed the survey of the compounds produced both by individual species and dur...

Ujawnienia

V. L. V and S. J. B. D. were former employees of Entech Instruments Inc., and K. W. is a member of Entech's University Program. J. P., J. K., and C. I. R. have no conflicts of interest to declare.

Podziękowania

We thank Heather Maughan and Linda M. Kalikin for careful editing of this manuscript. This work was supported by NIH NHLBI (grant 5R01HL136647-04).

Materiały

NameCompanyCatalog NumberComments
13C glucoseSigma-Aldrich389374-1G
2-Stg Diaph PumpEntech Instruments01-10-20030
20 mL VOA vialsFisher Scientific5719110
24 mm Black Caps with hole, no septumEntech Instruments01-39-76044Bholds lid liner in place on vial
24 mm vial liner for sorbent pensEntech InstrumentsSP-L024Sallows pens to make a vacuum seal at top of vial
5600 Sorbent pen extraction unit (SPEU)Entech Instruments5600-SPES5600 Sorbent Pen Extraction Unit -120 VAC
96-well assay platesGenesee25-224
Brain Heart Infusion (BHI) mediaSigma-Aldrich53286-500G
ChemStation StofwareAgilent
DB-624 columnAgilent122-1364E60 m, 0.25 mm ID, 1.40 micron film thickness, in GC-MS
Deuterium oxideSigma-Aldrich151882-1L
Dexsi sofwareDexsi (open source)
GC-MS (7890A GC and 5975C inert XL MSD with Triple-Axis Detector)Agilent7890A GC and 5975C inert XL MSD with triple-axis detector
Headspace Bundle HS-B01, 120VAEntech InstrumentsSP-HS-B01Items for running headspace extraction included in bundle
Headspace sorbent pen (HSP) - blankEntech InstrumentsSP-HS-0
Headspace sorbent pen (HSP) Tenax TA (35/60 Mesh)Entech InstrumentsSP-HS-T3560
Microcentrifuge tubes (2 mL)VWR53550-792
O-ringsEntech InstrumentsSP-OR-L024
Sample Preparation RailEntech Instruments
Sorbent pen thermal conditionerEntech Instruments3801-SPTC
Todd Hewitt (TH) mediaSigmaT1438-500G

Odniesienia

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  2. Nakhleh, M. K., et al. Detecting active pulmonary tuberculosis with a breath test using nanomaterial-based sensors. European Respiratory Journal. 43 (5), 1522-1525 (2014).
  3. Lim, S. H., et al. Rapid diagnosis of tuberculosis from analysis of urine volatile organic compounds. ACS Sensors. 1 (7), 852-856 (2016).
  4. Schnabel, R., et al. Analysis of volatile organic compounds in exhaled breath to diagnose ventilator-associated pneumonia. Scientific Reports. 5, 17179 (2015).
  5. Paff, T., et al. Exhaled molecular profiles in the assessment of cystic fibrosis and primary ciliary dyskinesia. Journal of Cystic Fibrosis. 12 (5), 454-460 (2013).
  6. Robroeks, C. M. H. H. T., et al. Metabolomics of volatile organic compounds in cystic fibrosis patients and controls. Pediatric Research. 68 (1), 75-80 (2010).
  7. Neerincx, A. H., et al. Hydrogen cyanide emission in the lung by Staphylococcus aureus. European Respiratory Journal. 48 (2), 577-579 (2016).
  8. Goeminne, P. C., et al. Detection of Pseudomonas aeruginosa in sputum headspace through volatile organic compound analysis. Respiratory Research. 13, 87 (2012).
  9. Joensen, O., et al. Exhaled breath analysis using Electronic Nose in cystic fibrosis and primary ciliary dyskinesia patients with chronic pulmonary infections. PLOS ONE. 9 (12), 115584 (2014).
  10. Nasir, M., et al. Volatile molecules from bronchoalveolar lavage fluid can 'rule-in' Pseudomonas aeruginosa and 'rule-out' Staphylococcus aureus infections in cystic fibrosis patients. Scientific Reports. 8 (1), 826 (2018).
  11. Tyc, O., Zweers, H., de Boer, W., Garbeva, P. Volatiles in inter-specific bacterial interactions. Frontiers in Microbiology. 6, 1412 (2015).
  12. Gao, B., et al. Tracking polymicrobial metabolism in cystic fibrosis airways: Pseudomonas aeruginosa metabolism and physiology are influenced by Rothia mucilaginosa-derived metabolites. mSphere. 3 (2), 00151 (2018).
  13. Schoenheimer, R., Rittenberg, D. Deuterium as an indicator in the study of intermediary metabolism. Science. 82 (2120), 156-157 (1935).
  14. Neubauer, C., et al. Refining the application of microbial lipids as tracers of Staphylococcus aureus growth rates in cystic fibrosis sputum. Journal of Bacteriology. 200 (24), 00365 (2018).
  15. Cordell, R. L., Pandya, H., Hubbard, M., Turner, M. A., Monks, P. S. GC-MS analysis of ethanol and other volatile compounds in micro-volume blood samples-quantifying neonatal exposure. Analytical and Bioanalytical Chemistry. 405 (12), 4139-4147 (2013).
  16. Mayor, A. S. R. Optimisation of sample preparation for direct SPME-GC-MS analysis of murine and human faecal volatile organic compounds for metabolomic studies. Journal of Analytical & Bioanalytical Techniques. 5 (2), 184 (2014).
  17. Camarasu, C. C. Headspace SPME method development for the analysis of volatile polar residual solvents by GC-MS. Journal of Pharmaceutical and Biomedical Analysis. 23 (1), 197-210 (2000).
  18. Charry-Parra, G., DeJesus-Echevarria, M., Perez, F. J. Beer volatile analysis: optimization of HS/SPME coupled to GC/MS/FID. Journal of Food Science. 76 (2), 205-211 (2011).
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