Antibiotic tolerance - the ability for prolonged survival under bactericidal treatments - is a potentially clinically significant phenomenon that is commonly overlooked in the clinical microbiology laboratory. Recent in vitro experiments show that high tolerance can evolve under intermittent antibiotic treatments in as little as eight exposures to high doses of antibiotics, suggesting that tolerance may evolve also in patients. However, tests for antibiotic susceptibilities, such as the disk-diffusion assay, evaluate only the concentration at which a bacterial strain stops growing, namely resistance level. High tolerance strains will not be detected using these tests. We present a simple modification of the standard disk-diffusion assay that allows the semi-quantitative evaluation of tolerance levels. This novel method, the “TDtest”, enabled the detection of tolerant and persistent bacteria by promoting the growth of the surviving bacteria in the inhibition zone, once the antibiotic has diffused away. Using the TDtest, we were able to detect different levels of antibiotic tolerance in clinical isolates of E. coli. The TDtest also identified antibiotics that effectively eliminate tolerant bacteria. The additional information on drug susceptibility provided by the TDtest should enable tailoring better treatment regimens for pathogenic bacteria.
Tolerant and persistent bacteria can survive antibiotic treatments without having acquired a resistance phenotype1,2,3,4,5. In contrast to resistance, which enables bacteria to grow in a concentration of a drug that would otherwise prevent growth, tolerance is only a transient ability of bacteria to survive under otherwise bactericidal treatments6 (Fig. 1). The term “persistence” is used when this ability is found only for a small sub-population of bacteria within a clonal and susceptible population1. Note that “persistence” is also used more generally to describe an infection that is not cleared effectively in the host7, but here we restrict the term to an heterogeneous response of a clonal bacterial population to antibiotics. For example, a major mechanism of tolerance and persistence is dormancy. Dormant bacteria are killed less efficiently by many antibiotics that target active growth processes such as cell wall assembly or DNA replication6. Our recent results showed that intermittent exposure to a beta-lactam antibiotic treatment in vitro led to the rapid evolution of transient dormancy and tolerance until it reached 100% of the population. A few daily exposures for 3 hours were sufficient to evolve this high level of tolerance to the antibiotic, and led to treatment failure8. Interestingly, bacteria evolved to adapt to the duration of the transient antibiotic exposure rather than to its precise chemical nature and evaded antibiotic killing by remaining dormant for the duration of the treatment, without becoming resistant. Since the regime of antibiotic exposure in vitro is similar to a typical treatment in patients, detecting tolerance in the clinic may be crucial for identifying mechanisms related to survival and for devising effective treatment regimens. Moreover, studies showed that tolerance, leading to treatment failure, can rapidly evolve for other classes of antibiotics9, as well as during treatment10, and mutations related to persistence have been identified in clinical isolates11. Therefore, the routine detection of tolerance in clinical isolates may shed new light on pathways leading to failure of antibiotic treatment. Current Clinical Microbiology laboratory practice of analyzing antibiotic treatment failure is set to identify isolates with a Minimum Inhibitory Concentration (MIC) higher than the breakpoint. Persistent and tolerant bacteria will be overlooked because their MIC is unchanged.
The goal of this study was to provide a simple detection assay to evaluate tolerance or persistence levels in clinical isolates. Our assay is based on the Kirby–Bauer disk diffusion antibiotic susceptibility testing12. In this disk diffusion assay, nutrients are consumed by the growing bacteria. Consequently, the small population of tolerant bacteria which have survived the bactericidal antibiotic within the inhibitory zone, would not, however, be detected because nutrients are depleted by the time the antibiotic level drops below the MIC.
We propose the Tolerance Disk Test (TDtest), a modification of the standard Kirby–Bauer disk diffusion assay that enables, in addition to determining resistance, to identify tolerance to an antibiotic by evaluating survival.
The standard disk-diffusion assay does not detect tolerance
The Kirby–Bauer disk diffusion method is designed to identify resistant bacteria by creating a gradient of concentration around a disk impregnated with antibiotics. The gradient of antibiotics prevents the growth of bacteria creating an “inhibition zone” around the disk (Fig. 1). A resistant strain (Fig. 1B) will grow closer to the disk than a susceptible strain (Fig. 1D). However, applying the disk diffusion assay to a mutant strain that evolved under 3 hours of intermittent ampicillin exposures and bearing tolerance mutation8 in the vapBC toxin-antitoxin module did not reveal any reduction of the inhibition zone (Fig. 1C) when compared to the wild-type strain (Fig. 1D).
Understanding the diffusion process in the Kirby–Bauer disk diffusion method for tolerant bacteria
In order to understand better why the high tolerance does not appear in the standard disk-diffusion assay, one should think about both the diffusion of the antibiotic and bacterial growth on the plate. The size of the inhibition zone around the disk is set by the interplay between the diffusion rate of the antibiotic (see Equation 1 and Fig. 2), the growth rate of the bacteria and the MIC.
Where C is the concentration of antibiotics as a function of time (t) and distance (r) from the source (center of disk), assuming isotropic diffusion in a two-dimensional plate. D is the diffusion coefficient, A is the initial antibiotic amount in the disk and h is the height of the agar in the plate.
Depending on A, after overnight incubation, the antibiotic concentration in the inhibition zone can drop below the MIC (Fig. 2A). However, by this time, the nutrients have diffused in the plate and are depleted by the bacteria that grew in the inhibition zone periphery (Fig. 2B). Tolerant bacteria that have survived the transient exposure to the antibiotic would not be detected because of the lack of nutrients supporting their visible growth.
Adding nutrients to the Kirby–Bauer disk diffusion method enables the detection of tolerant and persistent bacteria
The TDtest enables the detection of tolerant strains by overcoming the nutrient depletion that occurs in the Kirby–Bauer disk diffusion method. In Fig. 2A we schematically plot the diffusion dynamics during the TDtest in an arbitrary point in the inhibition zone. In this example, the antibiotic concentration drops to below the MIC after about 12 hours. Tolerant bacteria that managed to survive in the inhibition zone cannot grow because the nutrients were depleted (Fig. 2B, dotted line) by the bacteria growing beyond the inhibition zone. The surviving bacteria in the inhibition zone are then recovered by replacing the antibiotic disk (now emptied) with a new disk impregnated with nutrients (Fig. 2C,D). As nutrients diffuse away from the new disk, they now promote the growth of tolerant bacteria that can form detectable colonies in the inhibition zone (Fig. 2H, Supplementary Fig. S2 and Movie S1).
Thus, whereas the standard assay shows a similar inhibition zone for a susceptible (Fig. 1D) and a tolerant strain (Fig. 1C), the TDtest discriminates between susceptible and tolerant strains by uncovering the surviving bacteria of the latter (Fig. 2F and H). Furthermore, a qualitative evaluation of tolerance can be done by the number of colonies inside a typical inhibition zone (radius ~1 cm): “low tolerance” (0–10 colonies in inhibition zone), “medium tolerance” (10- to a few hundreds colonies in inhibition zone) and high tolerance (bacterial lawn in inhibition zone) (Fig. 3A–C) in wt K-12, tbl3b and tbl5a strains, respectively8 (Table 1).
The TDtest can detect also sub-populations of tolerant bacteria, namely persistent bacteria. For example, strains bearing the hipA7 mutations have high persistence13,14, due to hyperactivation of the stringent response that results in the transient growth arrest of a sub-population of bacteria15. Whereas the majority of the hipA7 population is killed by beta-lactams as efficiently as the wt strain, a sub-population of tolerant bacteria that require significantly more time to be killed can be observed. The coexistence of these two populations, normal bacteria and tolerant “persister” bacteria, results in a bimodal killing curve, the hall mark of persistence6. The TDtest detects high tolerance to a beta-lactam in the hipA7 mutant (Fig. 3D,E). Note that the TDtest evaluates the tolerance level semi-quantitatively and therefore does not distinguish between tolerance and persistence.
In all the cases mentioned above, the tolerant colonies that appear following the addition of the nutrient disk are typically not resistant. When the progeny of a colony that grew inside the inhibition zone is exposed to the disk diffusion assay with the same antibiotic, the inhibition zone radius remains unchanged, i.e. these colonies are not more resistant (Fig. 4 and Supplementary Fig. S3).
The tolerant bacteria detected with the TDtest are also distinct from heteroresistance, that may also result in colonies inside the inhibition zone. Heteroresistant colonies would appear already during the first step of the TDtest, as they are detected in the standard disk assay16.
TDtest reveals different tolerance levels in clinical isolates
Even carbapenems, one of the broadest-spectrum class of antibiotics, are not free of tolerance. Therefore, for clinical isolates resistant to ampicillin, we applied the TDtest with ertapenem. We were able to discriminate by tolerance level two ertapenem susceptible clinical isolates of E. coli (MIC < 0.05 μg/ml) (Table 1). Strain U453 (Fig. 5A,B) shows low tolerance, whereas strain W574 (Fig. 5C,D) shows high tolerance. Measurement of the fraction of survival of a liquid culture under ertapenem at a concentration of 10 μg/ml (similar to the mean serum concentration at 12 hours after 1 gram dosing)17, corroborate the TDtest results, namely the higher tolerance under ertapenem of W574 versus U453 (Fig. 5E). Moreover, direct monitoring by time-lapse microscopy shows that the difference in tolerance levels measured with the TDtest correlates with the cell-to-cell variability in the initiation of growth of the two strains in the absence of antibiotics. Whereas the low tolerance strain, U453, grows very uniformly and rapidly (Fig. 5F–H), cells of the medium tolerance strain, W574, vary in the time of initiation of growth (Fig. 5I–K). Because beta-lactams target effectively only growing bacteria, the bacteria that initiated growth late would have a higher probability of surviving the ertapenem treatment8, namely their tolerance level is higher. Medium tolerance was also detected in a clinical isolate of Enterobacter cloacae (Supplementary Fig. S2).
The TDtest was evaluated also for bacteria grown on other media typically used in the clinical microbiology, namely Mueller-Hinton agar and Mueller-Hinton blood agar (Supplementary Fig. S8).
Easy detection of antibiotics effective against tolerant bacteria with the TDtest
Using the TDtest, we were able to screen for antibiotics more effective against tolerant bacteria. We compared the effect of different antibiotics on the same E. coli tolerant strain tbl3a, obtained by evolution under intermittent exposure to ampicillin8. The results are shown in Fig. 6A–D: the bacteria show medium tolerance to ampicillin (Fig. 6A,B), but low tolerance to kanamycin (Fig. 6C,D).
We verified this finding by measuring survival in liquid culture after exposure to the two antibiotics. An overnight culture was diluted and exposed either to ampicillin (100 μg/ml) or kanamycin (100 μg/ml). In accordance to the results of the TDtests, the survival fraction under ampicillin was three orders of magnitude higher than under kanamycin (Fig. 6E). Thus, although the “regular” disk-diffusion test did not point to an advantage of kanamycin over ampicillin against this strain (Fig. 6A and C), the TDtest revealed the potentially higher effectiveness of kanamycin against the tolerant bacteria (for more antibiotics, See Supplementary Fig. S6).
Late-growing bacteria, leading to tolerance or persistence, may survive an antibiotic treatment and might lead to treatment failure18. The level of tolerance of an isolate to a particular drug is, however, not taken into account when choosing antibiotics. At present, a major limitation of addressing the phenomenon of tolerance in the clinic is the absence of a simple detection technique for tolerant strains. In this work, we introduce a cheap and simple “upgrade” to the Kirby-Bauer disk diffusion test. The first part of the test, similar to the standard disk diffusion test, detects resistance. For strains that do not manifest resistance, a second step evaluates their level of tolerance by replacing the antibiotic disk with a second disk, impregnated with nutrients only. Surviving bacteria present in the inhibition zone will then be detected.
Slower killing rate of tolerant bacteria may not always be relevant to treatment outcome; preventing bacterial growth is often sufficient because the immune system will be able to clear the infection. For example: for patients with large bacterial burdens, such as nosocomial pneumonia, it is imperative to kill ≥2 log10 CFU/g early after treatment initiation, to allow the granulocytes to contribute optimally to bacterial clearance19. However, in infections that are not cleared efficiently by the immune system, either because of immunodeficiency or because of difficulty in accessing the site of infection, such as infective endocarditis, tolerance may have strong implications on treatment outcome20. Integration of the TDtest in the Clinical Microbiology laboratory could thus be a valuable tool to facilitate the study of the clinical implication of tolerance and persistence.
A limitation of the TDtest is its sensitivity to the growth conditions, as tolerance and persistence phenotypes are often triggered by external conditions, such as tolerance that requires passage through to stationary phase conditions6 or tolerant forms that require the host environment21. Such limitation could be addressed in the future by testing several growth conditions, for example by mimicking the host environment better than the standard media currently used in vitro.
In addition to its potential benefit for the clinical setting, the TDtest may enable screens for compounds or combinations that are potent against tolerant and persistent bacteria and speed up drug development. Finally, the simplicity and low cost of the TDtest technique may be used in third world country to characterize strains and classify them according to the rapidity of their killing under several antibiotics.
Material and Methods
Media and reagents
Growth medium was LB Lennox (LBL) and all other chemicals, unless stated otherwise, were purchased from Sigma Chemical Co. Ampicillin stock solution 100 mg/ml in Double Distilled Water (DDW) was kept as single use aliquots at −20 °C. Ertapenem (MERCK) stock solution (20 mg/ml in DDW) was kept at −20 °C. Kanamycin stock solution (30 mg/ml in DDW) was kept at −20 °C.
Antibiotic content in disks: ampicillin 10 μg (Bio-rad) and kanamycin 7.5 μg (Bio-rad), ertapenem 0.25 μg, cefazolin 7.5 μg (OXOID), ciprofloxacin 0.1 μg, imipenem 2.5 μg (OXOID).
Glucose (D-glucose) was purchased from JT Baker.
Mueller-Hinton (MH) plates and MH + 5% sheep blood (MH-BD) agar plates were purchased from Novamed.
The TDtest consists of two steps:
Step I: similar to reference disk diffusion assay22, with the following exceptions:
Circa 106–107 bacteria at stationary phase were plated on LBL nutrient agar plate.
The amount of antibiotics in the disks was adjusted to reach a concentration below the MIC in the inhibition zone after a day of incubation (at 37 °C). Many commercial disks contain amounts that are too high for the concentration to fall below the MIC within the inhibition zone after a day. When this was the case, custom disks for the TDtest were prepared (see below).
If the MIC is not known, preparing several disks that contain different amounts of antibiotics and performing the TDtest in parallel for those disks is recommended (See Supplementary Fig. S7). We found that the optimal amount of antibiotic for the TDtest should be between the amount used in the commercial disk, and above 1/50 of that amount.
Step II: The antibiotic disk was replaced with a glucose (2 mg) disk after 18 hours and the plate was incubated for an additional overnight.
Alternatives for this step:
Adding the glucose solution directly on the antibiotic disk, instead of replacing it.
Using other nutrients instead of glucose.
Preparation of disks
Filter paper (Whatman, #1) were cut in circles of 6 mm diameter, sterilized by autoclave and impregnated with either 5 μl of a 40% sterile glucose solution for glucose disks, or 4–10 μl of antibiotic solution, according to final required amount for antibiotic disks, and left to dry at room temperature. Alternatively, commercial disks were cut in half or quarter to reduce the amount. Note that the exact amount of antibiotics is not important as long as it is high enough to create a large inhibition zone, and low enough to allow the concentration to fall below the MIC after 18 hours. The amount of antibiotic in each disk shown in the figures, is mentioned in the legend.
Time-lapse imaging of plates
Imaging of plates was done using an automated multiple scanner system (ScanLag), as described in ref. 23.
Measurement of diffusion coefficient
To measure the diffusion coefficient we used a one-well rectangular plate (12*7.5 cm), filled with agar 1.5%, to a height of 0.4 cm (similar to the plates used for the TDtest assays). We added a drop of a fluorescent agent (fluorescein, with molecular weight of 332 g/mol, which is close to ampicillin 349 g/mol) at a single point in the middle of the plate, and measured the temporal and spatial dynamics of fluorescence over time at 37 °C, for 672 points in the plate, using multiplate reader Infinite M200 (Tecan). The diffusion coefficient estimate was extracted by fitting the data to the 2D diffusion equation (Eq. 1) (See Supplemental Fig. S11).
Overnight cultures were diluted 1:100 in fresh medium containing antibiotic and incubated at 37 °C with shaking at 270 rpm, for designated time. Bacterial survival was determined by the most probable number-counting method (MPN)24.
Time-lapse microscopy was performed as in ref. 13. Briefly, a Polydimethylsiloxane (PDMS) square mold was cut out of cured Sylgard184 (Dow Corning) layer (thickness: about 3 mm). The mold was filled with melted LBL agarose 1.5%. Bacteria (about 5 μl of 1:10 from stationary phase) were put on a coverslip (#1.5) and covered with the solidified LB-agarose inside the PDMS mold. The whole chamber was sealed with another coverslip to avoid agarose drying. The PDMS chambers were monitored using a Leica DMIRBE inverted microscope system with incubator box (Life Imaging Systems) at 37 °C, automated stage and shutters. Autofocus and image acquisition was done using Micro-Manager25 to control the microscope, stage, shutters and camera. Multiple locations were monitored in parallel for phase-contrast imaging. Images were acquired using a 100× oil objective and a CCD camera (Orca-ER; Hamamatsu).
Antibiotics susceptibility tests
Each column in a 96 wells plate was filled with fresh LBL supplemented with ascending amount of ampicillin and inoculated with approx. 104 bacteria/well. The plate was incubated overnight at 37 °C. The Minimal Inhibitory Concentration (MIC) is the highest concentration supporting visible growth.
How to cite this article: Gefen, O. et al. TDtest: easy detection of bacterial tolerance and persistence in clinical isolates by a modified disk-diffusion assay. Sci. Rep. 7, 41284; doi: 10.1038/srep41284 (2017).
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We thank Omri Camus for advancing our understanding of the diffusion process in the TDtest, Irit Levin-Reisman for illuminating discussions and Sivan Pearl Mizrahi for comments on the manuscript. B.C. thanks Asher Brauner and Irine Ronin for guidance and support. We acknowledge funding from the European Research Council (Consolidator Grant #681819) and the Israel Science Foundation (#492/15).
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