Next Article in Journal
Diversity Indices of Plant Communities and Their Rhizosphere Microbiomes: An Attempt to Find the Connection
Next Article in Special Issue
A Method to Determine the Efficacy of a Commercial Phage Preparation against Uropathogens in Urine and Artificial Urine Determined by Isothermal Microcalorimetry
Previous Article in Journal
Outer Membrane Protein F Is Involved in Biofilm Formation, Virulence and Antibiotic Resistance in Cronobacter sakazakii
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 9
Issue 11
10.3390/microorganisms9112337
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Detection and Drug Susceptibility Testing of Neisseria gonorrhoeae Using Isothermal Microcalorimetry

by
Anabel E. Grütter
1,†,
Tecla Lafranca
1,†,
Aurelia Pahnita Sigg
1,
Max Mariotti
1,
Gernot Bonkat
2 and
Olivier Braissant
1,*
1
Department of Biomedical Engineering, University of Basel, Gewerbestrasse 14, 4123 Allschwil, Switzerland
2
alta uro AG, Centralbahnplatz 6, 4051 Basel, Switzerland
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this publication.
Microorganisms 2021, 9(11), 2337; https://doi.org/10.3390/microorganisms9112337
Submission received: 20 September 2021 / Revised: 8 November 2021 / Accepted: 8 November 2021 / Published: 11 November 2021
(This article belongs to the Special Issue Advances in Monitoring Metabolic Activities of Microorganisms by Calorimetry)
Browse Figures
Versions Notes

Abstract

:
Background: Gonorrhea is a frequently encountered sexually transmitted disease that results in urethritis and can further lead to pelvic inflammatory disease, infertility, and possibly disseminated gonococcal infections. Thus, it must be diagnosed promptly and accurately. In addition, drug susceptibility testing should be performed rapidly as well. Unfortunately, Neisseria gonorrhoea is a fastidious microorganism that is difficult to grow and requires culturing in an opaque medium. Methods: Here, we used isothermal microcalorimetry (IMC) to monitor the growth and the antimicrobial susceptibility of N. gonorrhoea. Results: Using IMC, concentrations of N. gonorrhoea between 2000 and 1 CFU·mL−1 were detected within 12 to 33 h. In addition, drug susceptibility could be monitored easily. Conclusions: The use of isothermal microcalorimetry provides an interesting and useful tool to detect and characterize fastidious microbes such as N. gonorrhoea that require media incompatible with optical detection conventionally used in many commercial systems.

1. Introduction

Gonorrhea is the second most common bacterial sexually transmitted disease (STI) worldwide. According to the World Health Organization (WHO), there were around 87 million new infections in 2016 [1,2]. The causative pathogen of Gonorrhea, Neisseria gonorrhoea (Ng), is a Gram-negative diplococcus that infects the urogenital tract as well as the rectum and the pharynx [3,4,5]. Men with such a urogenital infection are often symptomatic, presented as urethritis [3,4]. On the contrary, most women are asymptomatic. Symptoms (if any) include urethritis or cervicitis and are often non-specific. Rectal and pharyngeal Gonorrhea are present in both genders and remain mostly asymptomatic [4,6,7]. Due often non-specific symptoms or even asymptomatic disease progressions, Gonorrhea can extend into an ascending infection. Complications include pelvic inflammatory disease (PID), ectopic pregnancy, infertility and possibly disseminated gonococcal infections (DGIs) [8,9]. Unfortunately, because many patients remain asymptomatic and the increase in sexually risky behavior, the incidence continues to rise.
Furthermore, the time and effort required for the detection of N. gonorrhoea and the determination of its antimicrobial susceptibility are high. For these reasons, an empirical antimicrobial therapy is often chosen as first-line treatment. This treatment consists of a single dose of ceftriaxone in combination with azithromycin (see details in EAU guidelines [10]). As with other bacteria, N. gonorrhoea is also able to develop resistance to various antibiotics, including the first-line ones and many others [11]. Due to the emergence of resistance and the consequent ineffectiveness of the antibiotics used, antibacterial susceptibility testing becomes crucial to ensure effective and targeted therapy. Minimizing inadequate treatment also reduces the emergence of new resistance [12]. Because of the growing number of cases, the inefficiency of the currently applied diagnostic methods and the emergence of new resistant strains, diagnostic methods that allow faster and targeted treatment are urgently needed.
Currently, diagnosis of N. gonorrhoea relies mostly on a urethral swab followed by microscopy, microbial culture or nucleic acid amplification test (NAAT) such as PCR or LAMP. In high income settings the nucleic acid amplification test (NAAT) is the most used test to diagnose Gonorrhea, whereas it is rarely used in low-income settings, due to the high associated costs [13,14,15]. NAAT has a high specificity and sensitivity both in urethral gonococcal infections and extragenital gonococcal infections. However, it is recommended that a positive test result from an extragenital infection should be confirmed with an alternative method due to the possibility of cross reactivity with commensal or atypical Neisseria species [16,17,18,19]. In addition, NAAT may be superior to culture in some respects, for example in sensitivity, ease, and speed of performance, as shown in many studies. However, it lacks the possibility of direct antimicrobial susceptibility testing [20,21,22]. Therefore, there is still the need for a new method, which can both detect Neisseria and allows determination of antimicrobial resistance pattern in an easy and practical manner.
In this context, we investigated the use of isothermal microcalorimetry (IMC) for the detection and antimicrobial susceptibility testing of N. gonorrhoea. For microbiologists, N. gonorrhoea is considered to be a fastidious microorganism that requires specific growth medium (such as chocolate agar, GC medium) that are solid and/or opaque due to the presence of components such as agar (to make the medium solid), starch and hemoglobin (making the medium cloudy or even opaque). Isothermal microcalorimetry measures metabolic heat produced by active or replicating microorganisms in a given medium [23,24]. Isothermal microcalorimetry (IMC) is a laboratory method for the measurement and recording of real-time heat production rate (heatflow) at microwatt levels (μJ/sec = μW) during bacterial growth (i.e., heatflow curve) [25,26,27,28]. As only heat is measured, IMC does not require a transparent or liquid medium, making it suitable for the detection of N. gonorrhoea in the medium. Previous studies have already shown promising results in this field. For example, in 2012 a study using IMC demonstrated that this method allows rapid detection of bacteriuria (in just 3.1 h), enables the pathogen to be targeted through different heat flow patterns and that low colony counts (103 CFU/mL) are needed for the detection. Bacterial strains of the most common urinary tract pathogens were used in this study: Staphylococcus aureus, Enterococcus faecalis, Proteus mirabilis and Escherichia coli [28]. Braissant and colleagues demonstrated that IMC could be used to find an adequate antimicrobial therapy for urosepsis in just seven hours [29]. Regarding the drug susceptibility, isothermal microcalorimetry has already been used for various species such as MRSA [30], Aspergillus [31], Mycobacterium [32] and S. aureus and E. coli [33]. Finally, the use of solid and opaque medium has already been shown to be possible with IMC, especially in the context of tuberculosis diagnosis and drug susceptibility testing [34,35]. Given the reliability of these results, the aim of this study was to use this procedure in a field that to our knowledge has not yet been explored, namely antimicrobial susceptibility testing for N. gonorrhoea using IMC. Our aim was, therefore, to apply IMC to a bacterium that has not attracted much attention until now and to provide a sensitive, rapid and effective method of diagnosis and drug susceptibility testing that can ideally act as a means of point-of-care testing (POCT) in the clinical world.

2. Materials and Methods

2.1. Organisms

The strains of N. gonorrhoea (ATCC 19424 and ATCC 43069) were obtained as dehydrated pellets (Microbiologics, St Cloud, MN, USA) and stored at 4 °C before use. The pellets were rehydrated in sterile brain–heart infusion (BHI) medium previously autoclaved at 121 °C for 15 min according to the manufacturer’s instructions. The pellets were rehydrated 1 h before use. Pellets where homogenized using a grinding tool and through repeated vortexing. Following homogenization, the solution was used as inoculum for the different experiments described below. In addition, the inoculum bacterial concentration was determined by plating on Columbia agar with added 5% sheep blood (Becton Dickinson (BD), Franklin Lakes, NJ, USA) after serial 10-fold dilutions. An additional plate was prepared by streaking 10 µL of the undiluted inoculum on the same medium. All plates were incubated 48 h at 37 °C and visually inspected or counted after this time.

2.2. Detection in Various Medium

To test the effects of different supplement addition on the growth and thus further detection in urine or medium, supplements were added to the urine or the GC base medium (Condalab, Madrid, Spain) according to Table 1. GC medium base and hemoglobin solution were autoclaved separately at 121 °C for 15 min and mixed after cooling down. All other components were obtained sterile and added aseptically to obtain the final medium. Urine was obtained from voluntary healthy donors and was rapidly centrifuged to remove sediments (if any). A final filtration through a 0.2 µm filter (stericup) was performed to ensure sterility and clarity. After filtration, the sterile urine was used directly or stored at 4 °C until use if required. All additions to urine were made aseptically.
In addition, using the medium providing the best growth (i.e., ATCC 814 medium—see results section for details) we also performed a dilution series to determine the detection speed. Detection was considered positive when the signal passed above a threshold of 10 µW.

2.3. Drug Susceptibility Testing

Measurements performed in the previous section showed that GC medium (ATCC medium no. 814) containing hemoglobin (1% w/v) and Isovitale X (1% v/v) was the most effective medium for the cultivation of the N. gonorrhoea strains used (see results section for details). We therefore determined the drug susceptibility in this medium. For this proof of principle, we used ceftriaxone at the following concentrations: 4.17, 1.25, 0.42, 0.13 and 0.04 µg∙L−1. Sterile controls and controls without antimicrobials were subjected to the same conditions.

2.4. Calorimetry Procedure

All the samples were prepared in sterile 4 mL calorimetric glass ampoules. Then, 3 mL of sample was placed in the ampoule, and the ampoule was sealed. The ampoule was introduced into the calorimeter (TAM III, Waters/TA, New Castle, DE, USA) following the two-step thermal equilibration procedure recommended by the manufacturer. After 1 h of thermal equilibration, heat production rates (heatflow) were recorded until they returned to baseline or for at least 96 h. At the end of the experiment, data were resampled to obtain an effective sampling rate of 1 data point every 5 min and exported as a CSV file.

2.5. Statistical Analysis

All the calculations were performed in the statistics program R. The raw data (i.e., heatflow curves) were integrated to obtain heat over time curves. All further curve fitting was performed under the assumption that the heat produced during growth is proportional to the growth curve (i.e., that the cost of producing a bacterial cell remains constant) [36,37], and using the Gompertz growth model the maximal growth rate (µ), the lag phase (λ), and the maximum heat (Qmax) were calculated from the heat over time curve [37,38,39]. Additionally, heatflow above 10µW was considered to be the threshold for positive detection, and the corresponding time was recorded.

3. Results

3.1. Effect of Medium and Supplements

N. gonorrhoea ATCC 19424 was used to test for different growth in the different media. The results are summarized in Table 2. This strain of N. gonorrhoea was not cultivable in any urine-based medium. We assume that the concentration of necessary nutrients is too low even with morning urine. This means the detection of N. gonorrhoea with IMC in urine or artificial urine is compromised. However, using GC-based medium showed growth in all conditions. The growth was improved by the addition of Isovitale X supplement and hemoglobin to a lesser extent. The use of sheep blood did not improve growth and even showed a decrease (however, the decrease was not significant). Out of the used mediums and additions, the conventional growth medium (GC medium, ATCC medium no. 814) with hemoglobin and Isovitale X supplement performed the best since it showed the highest growth rate with a low lag phase compared to the other combinations. In this medium the growth pattern shows a main peak with additional smaller peaks that are found before the maximum activity is reached (see Figure 1). A possible explanation for the multiple peaks could be the use of different nutrients or terminal electron acceptors by N. gonorrhoea during its growth as previously described [24,27,40].

3.2. Time to Detection

To determine the time to detection, we used a 10 µW threshold corresponding to ca. 3.3·105 CFU·mL−1 (assuming a 2 pW per cell heat production rate [41,42]). The serial dilution with the two selected strains of N. gonorrhoea led to measured detection times between 12 and 33 h depending on the strain and bacterial concentration used (that were of rather low concentration but comparable to those found in patient urine- Table 3). Only one sample with very low CFU counts of the ATCC 43069 strain did not pass the threshold of 10 µW (although it came close). This emphasizes that the differences between the strains of the same organism should be taken into account. In addition, we assume that it is likely that after sedimentation of the medium, only a micro-colony could develop, being trapped in the sediment. Increasing growth would have probably required stirring or shaking that is not possible with the used instrument.

3.3. Drug Susceptibility Testing

When increasing concentrations of ceftriaxone were added up to 3× MIC, inhibition of Neisseria growth was clearly visible (Figure 2). The growth rate decreased from 0.29 to 0.00 h−1 at MIC, as the lag phase duration remained roughly similar for all the samples between 29.9 ± 1.5 and 36.1 ± 1.5. The MIC measured for both strains is consistent with literature values for these well characterized susceptible strains. Please note that at MIC level the strain ATCC 19424 shows considerably delayed growth and was clearly visible (although very slow) only after 100 h (data not shown). This shows that the methodology previously developed for urosepsis using a single concentration of antimicrobial to rapidly determine if a strain is susceptible or resistant is also applicable with N. gonorrhoea. However, due to the slow growth and fastidious nature of Neisseria species, it is likely that at least 12 to 15 h could be needed for such a discrimination.

4. Discussion

Overall, the use of the IMC is easier than culturing, and there is little preparation time. There is also the possibility of measuring antimicrobial susceptibility and rapidly discriminating between susceptible and resistant strains. Once an optimal medium has been chosen, detection is rather simple. In the development of calorimetric methods for the detection of this fastidious pathogens, other media such as Thayer–Martin agar or modified chocolate agar could be of interest [43]. However, in this study we focused on the use of liquid media as they are more suited for a practical use considering diagnostic applications and calorimetry. Still, the above-mentioned agar media could be of interest in the study of the formation of biofilm as these structures have been shown to form on epithelial cells and cervical cells during Neisseria infections [44]. In addition, future studies should also include the use of selective antimicrobial supplements for the direct isolation of Neisseria species [43].
The detection of N. gonorrhoea using isothermal microcalorimetry is slower than with NAAT, but it allows more evaluations once the IMC measurements are completed. Indeed, since the sealed ampoule still contains almost undisturbed sample with higher amounts of Neisseria, those bacteria can be recovered for additional identification or confirmation using MALDI-TOF or serological testing, for example. This is not possible with many NAAT-based techniques at this point but is still required as NAAT can be sensitive to other non-pathogenic but closely related Neisseria species [16,17,19].
In addition, we must emphasize that this study is very preliminary work and that many improvements are possible when considering the nature and composition of the medium. Indeed, as with non-motile microbial cells, hemoglobin (provided as dried red blood cells) and starch (insoluble) tend to sediment and are found at the bottom of the vial after the experiment. Therefore, it is very likely that the conditions for the growth of N. gonorrhoea are not homogenous throughout the vial and thus might not be optimal. Previous studies have shown that the use of Percoll or Ficoll that increase the density of the medium is a good solution to avoid such sedimentation, thus providing much more homogenous conditions for growth [45]. This; however, was not in the scope of the present study but will be considered and further investigated using similar media. There are also many other supplements such as Vitox or Yeast autolysate that could be used to make the growth of N. gonorrhoea and other Neisseria species faster. This is indeed of interest as IMC has been used for a long time to optimize growth condition for industrial purposes but also for human cell research [46,47,48]. Finally, we did not investigate selective supplements for direct determination and isolation from urine samples or swabs. This will also become of interest as the technique progresses.
With respect to antimicrobial susceptibility testing, our results show that with rather low concentration susceptibility could be determined within 12 h. At this point isolation would be needed before running a calorimetry measurement. As isolation takes 24 h and testing takes another 12 h, results can be expected within 36 h. Overall this is still 12 h faster than conventional methods [49,50]. Use of a higher initial inoculum is expected to speed up the detection, and we estimate that with an inoculum of 106 CFU·mL−1 the time to results could be lowered to 28 h. This would be similar to drug susceptibility testing using direct qPCR [51]. Finally, using additional preparation steps such as magnetic antibodies, it might be possible to skip the initial isolation, as a high amount of Neisseria would likely outgrow other microbes (if any) present after the purification step.
In conclusion, the use of isothermal microcalorimetry provides an interesting and useful tool to investigate fastidious microbes that require media incompatible with optical detection conventionally used in many commercial systems. Detection and drug susceptibility testing of N. gonorrhoea was rapidly performed. Further optimization with respect to the microbial culture condition will surely further decrease the time to detection and the time required for drug susceptibility testing. Therefore, we expect isothermal microcalorimetry to become a valuable tool for diagnostics and research of so-called fastidious microorganisms, including N. gonorrhoea.

Author Contributions

Conceptualization, O.B. and G.B.; methodology, O.B.; formal analysis, A.E.G., T.L., O.B.; original draft preparation, A.E.G., T.L., A.P.S., M.M., O.B. and G.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. O.B. is supported by the Merian Iselin Stiftung.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rowley, J.; Hoorn, S.V.; Korenromp, E.; Low, N.; Unemo, M.; Abu-Raddad, L.J.; Chico, R.M.; Smolak, A.; Newman, L.; Gottlieb, S.; et al. Chlamydia, gonorrhoea, trichomoniasis and syphilis: Global prevalence and incidence estimates, 2016. Bull. World Health Organ. 2019, 97, 548. [Google Scholar] [CrossRef]
  2. Rubin, D.H.F.; Ross, J.D.C.; Grad, Y.H. The frontiers of addressing antibiotic resistance in Neisseria gonorrhoeae. Transl. Res. 2020, 220, 122–137. [Google Scholar] [CrossRef] [PubMed]
  3. Unemo, M.; Seifert, H.S.; Hook, E.W.; Hawkes, S.; Ndowa, F.; Dillon, J.-A.R. Gonorrhoea. Nat. Rev. Dis. Prim. 2019, 5, 79. [Google Scholar] [CrossRef] [PubMed]
  4. Hook, E.W.; Bernstein, K. Kissing, saliva exchange, and transmission of Neisseria gonorrhoeae. Lancet Infect. Dis. 2019, 19, e367–e369. [Google Scholar] [CrossRef]
  5. Elias, J.; Frosch, M.; Vogel, U. Neisseria. In Manual of Clinical Microbiology; Wiley Online Library: Hoboken, NJ, USA, 2015; pp. 635–651. [Google Scholar]
  6. Noble, R.C.; Cooper, R.M.; Miller, B.R. Pharyngeal colonisation by Neisseria gonorrhoeae and Neisseria meningitidis in black and white patients attending a venereal disease clinic. Sex. Transm. Infect. 1979, 55, 14–19. [Google Scholar] [CrossRef]
  7. Danby, C.S.; Cosentino, L.A.; Rabe, L.K.; Priest, C.L.; Damare, K.C.; Macio, I.S.; Meyn, L.A.; Wiesenfeld, H.C.; Hillier, S.L. Patterns of Extragenital Chlamydia and Gonorrhea in Women and Men Who Have Sex with Men Reporting a History of Receptive Anal Intercourse. Sex. Transm. Dis. 2016, 43, 105–109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Hook, E.W.; Judson, F.N.; Handsfield, H.H.; Ehret, J.M.; Holmes, K.K.; Knapp, J.S. Auxotype/serovar diversity and antimicrobial resistance of neisseria gonorrhoeae in two mid-sized american cities. Sex. Transm. Dis. 1987, 14, 141–146. [Google Scholar] [CrossRef] [PubMed]
  9. Brunham, R.C.; Gottlieb, S.L.; Paavonen, J. Pelvic Inflammatory Disease. N. Engl. J. Med. 2015, 372, 2039–2048. [Google Scholar] [CrossRef] [PubMed]
  10. Bonkat, G.; Pickard, R.; Bartoletti, R.; Cai, T.; Bruyere, F.; Geerlings, S.E.; Köves, B.; Wagenlehne, F.; Pilatz, A.; Pradere, B.; et al. EAU Guidelines on Urological Infections; European Association of Urology: Arnhem, The Netherlands, 2019. [Google Scholar]
  11. Barbee, L.A.; Golden, M.R. Aztreonam for Neisseria gonorrhoeae: A systematic review and meta-analysis. J. Antimicrob. Chemother. 2020, 75, 1685–1688. [Google Scholar] [CrossRef] [PubMed]
  12. Meyer, T.; Buder, S. The laboratory diagnosis of neisseria gonorrhoeae: Current testing and future demands. Pathogens 2020, 9, 91. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bignell, C.; Unemo, M. 2012 European guideline on the diagnosis and treatment of gonorrhoea in adults. Int. J. STD AIDS 2013, 24, 85–92. [Google Scholar] [CrossRef]
  14. Bachmann, L.H.; Johnson, R.E.; Cheng, H.; Markowitz, L.; Papp, J.R.; Palella, F.J.; Hook, E.W. Nucleic acid amplification tests for diagnosis of Neisseria gonorrhoeae and Chlamydia trachomatis rectal infections. J. Clin. Microbiol. 2010, 48, 1827–1832. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Bachmann, L.H.; Johnson, R.E.; Cheng, H.; Markowitz, L.E.; Papp, J.R.; Edward, I.W.H. Nucleic acid amplification tests for diagnosis of Neisseria gonorrhoeae oropharyngeal infections. J. Clin. Microbiol. 2009, 47, 902–907. [Google Scholar] [CrossRef] [Green Version]
  16. Palmer, H.M.; Mallinson, H.; Wood, R.L.; Herring, A.J. Evaluation of the specificities of five DNA amplification methods for the detection of Neisseria gonorrhoeae. J. Clin. Microbiol. 2003, 41, 835–837. [Google Scholar] [CrossRef] [Green Version]
  17. Tabrizi, S.N.; Unemo, M.; Limnios, A.E.; Hogan, T.R.; Hjelmevoll, S.O.; Garland, S.M.; Tapsall, J. Evaluation of six commercial nucleic acid amplification tests for detection of Neisseria gonorrhoeae and other Neisseria species. J. Clin. Microbiol. 2011, 49, 3610–3615. [Google Scholar] [CrossRef] [Green Version]
  18. Tabrizi, S.N.; Unemo, M.; Golparian, D.; Twin, J.; Limnios, A.E.; Lahra, M.; Guy, R. Analytical evaluation of GeneXpert CT/NG, the first genetic point-of-care assay for simultaneous detection of Neisseria gonorrhoeae and Chlamydia trachomatis. J. Clin. Microbiol. 2013, 51, 1945–1947. [Google Scholar] [CrossRef] [Green Version]
  19. Humbert, M.V.; Christodoulides, M. Atypical, yet not infrequent, infections with neisseria species. Pathogens 2020, 9, 10. [Google Scholar] [CrossRef] [Green Version]
  20. Cheng, A.; Kirby, J.E. Evaluation of the hologic gen-probe PANTHER, APTIMA combo 2 assay in a tertiary care teaching hospital. Am. J. Clin. Pathol. 2014, 141, 397–403. [Google Scholar] [CrossRef] [Green Version]
  21. Van Der Pol, B.; Williams, J.A.; Fuller, D.A.; Taylor, S.N.; Hook, E.W. Combined testing for chlamydia, gonorrhea, and trichomonas by use of the BD max CT/GC/TV assay with genitourinary specimen types. J. Clin. Microbiol. 2017, 55, 155–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Serra-Pladevall, J.; Caballero, E.; Roig, G.; Juvé, R.; Barbera, M.J.; Andreu, A. Comparison between conventional culture and NAATs for the microbiological diagnosis in gonococcal infection. Diagn. Microbiol. Infect. Dis. 2015, 83, 341–343. [Google Scholar] [CrossRef] [PubMed]
  23. Braissant, O.; Wirz, D.; Göpfert, B.; Daniels, A.U. Biomedical use of isothermal microcalorimeters. Sensors 2010, 10, 9369–9383. [Google Scholar] [CrossRef] [PubMed]
  24. Braissant, O.; Wirz, D.; Göpfert, B.; Daniels, A.U. Use of isothermal microcalorimetry to monitor microbial activities. FEMS Microbiol. Lett. 2010, 303, 1–8. [Google Scholar] [CrossRef]
  25. Vasala, A.; Hytönen, V.P.; Laitinen, O.H. Modern Tools for Rapid Diagnostics of Antimicrobial Resistance. Front. Cell. Infect. Microbiol. 2020, 10, 308. [Google Scholar] [CrossRef]
  26. Nykyri, J.; Herrmann, A.M.; Håkansson, S. Isothermal microcalorimetry for thermal viable count of microorganisms in pure cultures and stabilized formulations. BMC Microbiol. 2019, 19, 65. [Google Scholar] [CrossRef]
  27. Braissant, O.; Astasov-Frauenhoffer, M.; Waltimo, T.; Bonkat, G. A review of methods to determine viability, vitality, and metabolic rates in microbiology. Front. Microbiol 2020, 11, 547458. [Google Scholar] [CrossRef] [PubMed]
  28. Bonkat, G.; Braissant, O.; Widmer, A.F.; Frei, R.; Rieken, M.; Wyler, S.; Gasser, T.C.; Wirz, D.; Daniels, A.U.; Bachmann, A. Rapid detection of urinary tract pathogens using microcalorimetry: Principle, technique and first results. BJU Int. 2012, 110, 892–897. [Google Scholar] [CrossRef] [PubMed]
  29. Braissant, O.; Müller, G.; Egli, A.; Widmer, A.; Frei, R.; Halla, A.; Wirz, D.; Gasser, T.C.; Bachmann, A.; Wagenlehner, F.; et al. Seven hours to adequate antimicrobial therapy in urosepsis using isothermal microcalorimetry. J. Clin. Microbiol. 2014, 52, 624–626. [Google Scholar] [CrossRef] [Green Version]
  30. Baldoni, D.; Hermann, H.; Frei, R.; Trampuz, A.; Steinhuber, A. Performance of microcalorimetry for early detection of methicillin resistance in clinical isolates of Staphylococcus aureus. J. Clin. Microbiol. 2009, 47, 774–776. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Furustrand Tafin, U.; Orasch, C.; Trampuz, A. Activity of antifungal combinations against Aspergillus species evaluated by isothermal microcalorimetry. Diagn. Microbiol. Infect. Dis. 2013, 77, 31–36. [Google Scholar] [CrossRef] [PubMed]
  32. Boillat-Blanco, N.; Furustrand Tafin, U.; Jaton, K.; Trampuz, A. Susceptibility testing of Mycobacterium abscessus by isothermal microcalorimetry. Diagn. Microbiol. Infect. Dis. 2015, 83, 139–143. [Google Scholar] [CrossRef] [PubMed]
  33. Von Ah, U.; Wirz, D.; Daniels, A. Isothermal micro calorimetry a new method for MIC determinations: Results for 12 antibiotics and reference strains of E. coli and S. aureus. BMC Microbiol. 2009, 9, 106. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Howell, M.; Wirz, D.; Daniels, A.U.; Braissant, O. Application of a microcalorimetric method for determining drug susceptibility in Mycobacterium species. J. Clin. Microbiol. 2012, 50, 16–20. [Google Scholar] [CrossRef] [Green Version]
  35. Rodríguez, D.; Daniels, A.U.; Urrusti, J.L.; Wirz, D.; Braissant, O. Evaluation of a low-cost calorimetric approach for rapid detection of tuberculosis and other mycobacteria in culture. J. Appl. Microbiol. 2011, 111, 1016–1024. [Google Scholar] [CrossRef]
  36. Battley, E.H. Absorbed heat and heat of formation of dried microbial biomassstudies on the thermodynamics of microbial growth. J. Therm. Anal. Calorim. 2003, 74, 709–721. [Google Scholar] [CrossRef]
  37. Braissant, O.; Bonkat, G.; Wirz, D.; Bachmann, A. Microbial growth and isothermal microcalorimetry: Growth models and their application to microcalorimetric data. Thermochim. Acta 2013, 555, 64–71. [Google Scholar] [CrossRef]
  38. Zwietering, M.H.; Jongenburger, I.; Rombouts, F.M.; Van’t Riet, K. Modeling of the bacterial growth curve. Appl. Environ. Microbiol. 1990, 56, 1875–1881. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Kahm, M.; Hasenbrink, G.; Lichtenberg-Fraté, H.; Ludwig, J.; Kschischo, M. grofit: Fitting Biological Growth Curves with R. J. Stat. Softw. 2010, 33. [Google Scholar] [CrossRef] [Green Version]
  40. Braissant, O.; Bachmann, A.; Bonkat, G. Microcalorimetric assays for measuring cell growth and metabolic activity: Methodology and applications. Methods 2015, 76, 27–34. [Google Scholar] [CrossRef]
  41. Braissant, O.; Bonkat, G.; Bachmann, A. Isothermal Microcalorimetry for the Investigation of Clinical Samples: Past and Present. In Biocalorimetry; CRC Press: Boca Raton, FL, USA, 2016. [Google Scholar]
  42. Maskow, T.; Paufler, S. What does calorimetry and thermodynamics of living cells tell us? Methods 2015, 76, 3–10. [Google Scholar] [CrossRef] [PubMed]
  43. Atlas, R.M. Handbook of Microbiological Media; CRC Press: Boca Raton, FL, USA, 2004; ISBN 0429129033. [Google Scholar]
  44. Greiner, L.L.; Edwards, J.L.; Shao, J.; Rabinak, C.; Entz, D.; Apicella, M.A. Biofilm formation by Neisseria gonorrhoeae. Infect. Immun. 2005, 73, 1964–1970. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Maskow, T.; Morais, F.M.; Rosa, L.F.M.; Qian, Y.G.; Harnisch, F. Insufficient oxygen diffusion leads to distortions of microbial growth parameters assessed by isothermal microcalorimetry. RSC Adv. 2014, 4, 32730–32737. [Google Scholar] [CrossRef]
  46. Kemp, R.B.; Guan, Y.H. The application of heat flux measurements to improve the growth of mammalian cells in culture. Thermochim. Acta 2000, 349, 23–30. [Google Scholar] [CrossRef]
  47. Sivaprakasam, S.; Schuler, M.M.; Hama, A.; Hughes, K.M.; Marison, I.W. Biocalorimetry as a process analytical technology process analyser; Robust in-line monitoring and control of aerobic fed-batch cultures of crabtree-negative yeast cells. J. Therm. Anal. Calorim. 2011, 104, 75–85. [Google Scholar] [CrossRef]
  48. Schuler, M.M.; Sivaprakasam, S.; Freeland, B.; Hama, A.; Hughes, K.M.; Marison, I.W. Investigation of the potential of biocalorimetry as a process analytical technology (PAT) tool for monitoring and control of Crabtree-negative yeast cultures. Appl. Microbiol. Biotechnol. 2012, 93, 575–584. [Google Scholar] [CrossRef] [PubMed]
  49. Putnam, S.D.; Lavin, B.S.; Stone, J.R.; Oldfield, E.C.; Hooper, D.G. Evaluation of the standardized disk diffusion and agar dilution antibiotic susceptibility test methods by using strains of Neisseria gonorrhoeae from the United States and Southeast Asia. J. Clin. Microbiol. 1992, 30, 974–980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Sabour, S. Etest to detect drug-resistant neisseria gonorrhoeae to contemporary treatment; methodological issues concerning accuracy and reproducibility. J. Med. Microbiol. 2018, 67, 465. [Google Scholar] [CrossRef] [Green Version]
  51. Chen, L.; Shin, D.J.; Zheng, S.; Melendez, J.H.; Gaydos, C.A.; Wang, T.H. Direct-qPCR Assay for Coupled Identification and Antimicrobial Susceptibility Testing of Neisseria gonorrhoeae. ACS Infect. Dis. 2018, 4, 1377–1384. [Google Scholar] [CrossRef] [PubMed]
Microorganisms 09 02337 g001 550
Figure 1. Growth of N. gonorrhoea ATCC 19424 (A,B) and ATCC 43069 (C,D) monitored using IMC. A: Heatflow of N. gonorrhoea ATCC 19424 and insert showing details of the initial 25 h. B: Heat produced by of N. gonorrhoea ATCC 19424 over time showing a curve similar to a growth curve. C: Heatflow of N. gonorrhoea ATCC 19424. D: Heat produced by of N. gonorrhoea ATCC 19424 over time showing a curve similar to a growth curve.
Figure 1. Growth of N. gonorrhoea ATCC 19424 (A,B) and ATCC 43069 (C,D) monitored using IMC. A: Heatflow of N. gonorrhoea ATCC 19424 and insert showing details of the initial 25 h. B: Heat produced by of N. gonorrhoea ATCC 19424 over time showing a curve similar to a growth curve. C: Heatflow of N. gonorrhoea ATCC 19424. D: Heat produced by of N. gonorrhoea ATCC 19424 over time showing a curve similar to a growth curve.
Microorganisms 09 02337 g001
Microorganisms 09 02337 g002 550
Figure 2. Heatflow (A) and heat over time (B) during the growth of N. gonorrhoea ATCC 43069 exposed to increasing concentrations of ceftriaxone.
Figure 2. Heatflow (A) and heat over time (B) during the growth of N. gonorrhoea ATCC 43069 exposed to increasing concentrations of ceftriaxone.
Microorganisms 09 02337 g002
Table
Table 1. Medium composition tested to measure growth parameters of N. gonorrhoea and define the best possible liquid medium.
Table 1. Medium composition tested to measure growth parameters of N. gonorrhoea and define the best possible liquid medium.
No SupplementUrineUrine +
Hemoglobin (1% w/v)		GC MediumGC Medium +
Hemoglobin (1% w/v)
Isovitale X1% v/v1% v/v1% v/v1% v/v *
Sheep blood **1% v/v1% v/v1% v/v1% v/v
* denotes the composition of the ATCC 814 medium. ** defibrinated.
Table
Table 2. Growth parameters of N. gonorrhoea in the different media used. The results are the mean of four replicates and the associated standard deviation.
Table 2. Growth parameters of N. gonorrhoea in the different media used. The results are the mean of four replicates and the associated standard deviation.
Growth MediumGrowth Rate
(h−1)		Lag Phase
(h)		Total Heat
(J)		TTP
(h)
GC0.095 ± 0.01039.4 ± 16.23.74 ± 1.3067.5 ± 10.7
GC + Isovitale X0.307 ± 0.01528.8 ± 1.84.83 ± 0.3840.8 ± 0.8
GC + Isovitale X + Blood0.234 ± 0.02519.6 ± 1.35.34 ± 0.1439.6 ± 3.6
GC + hemoglobin0.119 ± 0.01616.7 ± 1.24.65 ± 0.1736.2 ± 5.2
GC + hemoglobin + Isovitale X0.322 ± 0.02517.3 ± 0.75.26 ± 0.1229.4 ± 1.0
GC + hemoglobin + Isovitale X + blood0.305 ± 0.01619.3 ± 1.05.47 ± 0.0828.9 ± 2.4
Sterile GC medium0.002 ± 0.001ND0.12 ± 0.05ND
Urine0.007 ± 0.001ND0.28 ± 0.08ND
Urine + Isovitale X0.012 ± 0.001ND0.59 ± 0.08ND
Urine + Isovitale X + blood0.011 ± 0.003ND0.47 ± 0.08ND
Urine + hemoglobin0.004 ± 0.003ND0.60 ± 0.71ND
Urine + hemoglobin + Isovitale X0.006 ± 0.003ND0.60 ± 0.51ND
Urine + hemoglobin + Isovitale X + blood0.004 ± 0.001ND0.36 ± 0.06ND
Sterile filtered urine0.004 ± 0.001ND0.62 ± 0.45ND
ND: Not determined, TTP: Time to peak.
Table
Table 3. Table showing the detection time with respect to the number of cells in the medium. The threshold for positive detection was set at 10 µW (10 µW is approximately 3.3 × 105 CFU·mL−1; see main text).
Table 3. Table showing the detection time with respect to the number of cells in the medium. The threshold for positive detection was set at 10 µW (10 µW is approximately 3.3 × 105 CFU·mL−1; see main text).
ATCC 19424ATCC 43069
CFU·mL−1Time to
Detection (h)		CFU·mL−1Time to
Detection (h)
~240012.0 ± 0.3~46018.9 ± 0.4
~24014.6 ± 0.2~4626.0 ± 0.4
~2416.9 ± 0.4~533.6 ± 3.3
~221.9 ± 3.2~0.5 **ND *
0ND0ND
Sterile controlsNDSterile controlsND
* Growth was detected, but the signal did not reach the threshold of 10 µW. ** At this concentration only one out of the three replicates showed growth. See figure for details.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Grütter, A.E.; Lafranca, T.; Sigg, A.P.; Mariotti, M.; Bonkat, G.; Braissant, O. Detection and Drug Susceptibility Testing of Neisseria gonorrhoeae Using Isothermal Microcalorimetry. Microorganisms 2021, 9, 2337. https://doi.org/10.3390/microorganisms9112337

AMA Style

Grütter AE, Lafranca T, Sigg AP, Mariotti M, Bonkat G, Braissant O. Detection and Drug Susceptibility Testing of Neisseria gonorrhoeae Using Isothermal Microcalorimetry. Microorganisms. 2021; 9(11):2337. https://doi.org/10.3390/microorganisms9112337

Chicago/Turabian Style

Grütter, Anabel E., Tecla Lafranca, Aurelia Pahnita Sigg, Max Mariotti, Gernot Bonkat, and Olivier Braissant. 2021. "Detection and Drug Susceptibility Testing of Neisseria gonorrhoeae Using Isothermal Microcalorimetry" Microorganisms 9, no. 11: 2337. https://doi.org/10.3390/microorganisms9112337

APA Style

Grütter, A. E., Lafranca, T., Sigg, A. P., Mariotti, M., Bonkat, G., & Braissant, O. (2021). Detection and Drug Susceptibility Testing of Neisseria gonorrhoeae Using Isothermal Microcalorimetry. Microorganisms, 9(11), 2337. https://doi.org/10.3390/microorganisms9112337

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop