Abstract
Background:
Minimum inhibitory concentration (MIC) of slow growing mycobacteria (SGM) often do not correlate with the treatment response. Among the challenges is the identification of MIC of drugs that degrade in solution faster than the doubling time of the SGM.
Methods:
First, we identified the rate of omadacycline degradation in solution, and its effect on the rapidly growing methicillin resistant Staphylococcus aureus (MRSA). We then identified doubling times versus MICs for Mycobacterium abscessus, M. avium, and M. kansasii, with and without supplementation for degraded drug.
Results:
Omadacycline concentration in solution declined ~50% over 24hr. In the MRSA experiments, omadacycline demonstrated 66.48 ± 19.38% loss in potency over 24hr, confirming the degradation rate in solution. M. abscessus had a doubling time of 8.75 ± 1.23hr and the omadacycline MIC after 24hr of incubation was 2mg/L with and without 50% daily drug supplementation, indicating that drug degradation had no effect on this rapid grower. The doubling time for M. avium was 29.52hr (95% confidence interval (CI): 23.18–33.89hr) and 31.15hr (95%CI: 19.45–38.49 hr) for M. kansasii. The M. avium MICs ±50% daily omadacycline supplementation were 1mg/L and 0.5mg/L on day 7, whereas the M. kansasii MICs ±50% daily supplementation were >128mg/L and 32mg/L on day 7.
Conclusion:
Omadacycline degradation in solution leads to falsely high MICs when SGM doubling time exceed the drug degradation rates in solution. The challenge could be overcome by daily drug supplementation to account for the loss of potency, which is laborious, or perhaps stabilizing the drug from degradation.
Keywords: Susceptibility testing, Nontuberculous mycobacteria, Trailing effect
1. Introduction
Nontuberculous mycobacteria (NTM) cause pulmonary disease in humans that is recalcitrant to treatment. The role of drug susceptibility testing in the choice of anti-infective agents for the treatment of NTM disease, especially slowly growing mycobacteria (SGM) is debatable because of discrepancies between in vitro minimum inhibitory concentration (MIC) of the drug and the efficacy of the same drug observed in patients [1,2]. Therefore, there is need to determine the potential reasons for these discrepancies and develop better methods to perform reproducible drug susceptibility (DST) results. Based on our previous work with omadacycline and ertapenem, we hypothesize that some laboratory technical issues could partly explain these discrepancies [3, 4]. In addition, such drugs often demonstrate an MIC “trailing effect” which makes it further difficult to establish the precise MIC [5]. The danger of relying on MICs is that potentially useful drugs could be discarded based on their falsely high MICs; thus, the technical challenges need to be overcome. Tetracyclines are known to have solubility and stability problem across temperature range [6,7]. Therefore, various agents including ascorbic acid have been tested to stabilize tetracyclines in the solution [8]. Here we present the technical challenges with performing drug susceptibility testing with the novel tetracycline, omadacycline, which recently demonstrated efficacy against both SGM and rapidly growing mycobacteria (RGM) despite high MICs [5,9–12].
2. Materials and methods
Omadacycline (BOC Sciences, NY, USA) was freshly prepared by dissolving the drug in 100% dimethyl sulfoxide (DMSO) followed by further dilution in sterile water. Final DMSO concentration was <0.01% (v/v) with no effect on the growth of the bacteria. The culture media used in the experiments were cation-adjusted Mueller Hinton broth (CAMHB), Mueller Hinton agar (MHA), Middlebrook 7H9 broth supplemented with 10% oleic acid, albumin, dextrose, catalase (OADC) (herein termed 7H9 broth), or Middlebrook 7H10 agar supplemented with 10% OADC (herein termed 7H10 agar), depending upon the bacterial species used in the experiment. All experiments were performed twice with two replicates per condition, unless reported otherwise. GraphPad Prism (v9) was used for data analysis and graphing.
Firstly, to determine the degree of drug degradation, four aliquots of 1mL fresh drug were prepared (final concentration 0.5mg/L). One aliquot was immediately stored at −80°C for drug concentration measurement using a validated LC-MS/MS assay [3]. The remaining three tubes were stored at 37°C. One tube was removed at 24hr, 48hr, and 72hr, respectively, and stored at −80°C for drug concentration measurement.
Secondly, methicillin-resistant Staphylococcus aureus (MRSA; ATCC 29213) was grown to logarithmic phase in CAMHB, turbidity of the cultures was adjusted to 0.5 McFarland standard, followed by 100-fold dilution of the turbidity adjusted cultures to prepare the inoculum with a bacterial density of ~105 CFU/mL. The cultures were co-incubated with freshly made omadacycline at a concentration of 0.5mg/L. After 24hr of incubation at 37°C under shaking conditions at ambient environment, cultures were washed to remove carry-over drug, 10-fold serially diluted, and inoculated on MHA for estimation of bacterial burden as colony forming unit per milliliter (CFU/mL). The experiment was repeated, but this time instead of using the freshly prepared drug, the MRSA was co-incubated with omadacycline solution that was stored at 37°C for 24hr. After 24hr of incubation, samples were processed for enumeration of bacterial burden. The CFU/mL data was used to calculate the percent MRSA growth inhibition with fresh drug versus the drug solution stored at 37°C. In addition, from both set of the experiments, the culture supernatant was collected in a fresh tube, filtered sterilized using 0.22μM filters and stored at −80°C for drug concentration measurement.
Thirdly, we performed broth micro-dilution MIC experiments, using 7H9 broth with the rapidly growing Mycobacterium abscessus (ATCC 19977), with and without 50% drug supplementation every 24 hr. The 50% drug supplementation volume was 1μL (100x concentration) per well. The non-treated control wells were treated in the same manner with addition of 1μL media to keep the volume constant in all wells. The final omadacycline concentrations tested were 0.06, 0.12, 0.25, 0.5, 1, 2, 4, and 8mg/L. At the end of 48hr of incubation at 30°C under ambient environment, 96-well plates were visually inspected and the drug concentration completely inhibiting the bacterial growth was recorded as MIC. In addition, after recording the visual MIC, the samples were collected from each well, washed twice with normal saline to remove the carryover drug, serially diluted, and inoculated on 7H10 agar for enumeration of bacterial burden.
Fourthly, we performed broth macro-dilution MIC studies with the SGM Mycobacterium avium (ATCC 700898) and M. kansasii (ATCC 12478) in 7H9 broth, in a total volume of 5mL. The final omadacycline concentrations tested ranged from 0.5mg/L to 128mg/L, in a 2-fold serial dilution. For each NTM, one set of cultures was co-incubated for 7-days without any drug supplementation, while the second set of the cultures received 50% daily supplementation for each drug concentration. The drug supplementation volume was 25μL (100x concentration) per tube. After 7 days of incubation at 37°C under ambient environment, the cultures were washed twice with normal saline to remove the carryover drug, 10-fold serially diluted, and inoculated on 7H10 agar for enumeration of bacterial burden. After 10 days of incubation at 37°C, the colonies were recorded and used to determine the drug concentration associated with >99.9% bacterial kill compared to the nontreated controls as well as the relationship between the bacterial burden and drug concentrations using the inhibitory sigmoid maximal effect model. A secondary objective to determine the drug concentration with >99.9% reduction was to identify which endpoint by visual inspection (i.e., 80% versus 100% pellet size reduction) correlate better with visual MIC to overcome the issue of the trailing effect.
3. Results
The omadacycline concentration measured in the freshly prepared drug solution as well as the samples incubated at 37°C (from the MRSA experiment) is shown in Fig. 1A. The omadacycline decline rate had a half-life of 21.70hr (r2 = 1), based on an exponential decline model. The omadacycline concentration fell by 45.2% over the first 24hrs. Similarly, in Fig. 1A the omadacycline decline in CAMHB at 37°C had a half-life of 31.37hr (95% confidence interval (CI): 19.76–60.22 hr) (r2 = 0.999). The omadacycline concentration fell by approximately 49.8% over the first 24hrs. Fig. 1B shows the % MRSA growth inhibition compared to the non-treated control. We did not include the results beyond 24hr as there was virtually no difference between the non-treated control versus omadacycline treated cultures, indicating loss in efficacy due to drug degradation. The MRSA kill rate with freshly made omadacycline was −0.047 log10 CFU/mL/hr, and −0.005 log10 CFU/mL/hr with drug solution stored at 37°C for 24hrs. Thus, these results reveal loss of omadacycline efficacy, in solution, over time when stored or longer incubation at 37°C, as seen in the MRSA experiment.
Fig. 2 shows the results of the M. abscessus experiments. The doubling time of M. abscessus in cultures without omadacycline exposure (non-treated control) was 8.75 ± 1.23hr, in the same range as observed by others in the past [13], but considerably lower than the omadacycline decline half-life in CAMHB. The omadacycline MICs were done with and without supplementation of 50% drug to compensate for drug degradation, with results shown in Fig. 2A. The was no difference in MIC based on the visual inspection with and without drug supplementation. There was a trailing effect observed. The CFU/mL from each well culture were analyzed using the inhibitory sigmoid Emax model (Fig. 2B and Table 1). Table 1 shows that neither the potency (EC50 or effective concentration mediating 50% of the maximal effect) nor the efficacy (Emax or maximal kill compared to the non-treated control) were altered by the 50% drug supplementation. Omadacycline failed to show M. abscessus kill below stasis (initial bacterial burden in the inoculum on day 0) at any concentration.
Table 1.
Parameter | No Supplementation |
50% Daily Drug Supplementation |
---|---|---|
Estimate (95% confidence intervals) | Estimate (95% confidence intervals) | |
| ||
Econ (log10 CFU/mL) | 6.95 (6.28–7.62) | 6.91 (6.66–7.17) |
Emax (log10 CFU/mL) | 2.53 (0.16–4.89) | 3.12 (2.10–4.13) |
H | 1.29(0.82–3.51) | 1.09 (0.53–1.65) |
EC50 (mg/L] | 1.39 (−0.93 to 3.71) | 1.41 (0.50–2.32) |
R2 | 0.91 | 0.99 |
Regarding the omadacycline MIC of SGM, the doubling time for M. avium was 29.52hr (95% CI: 23.18–33.89hr); longer than the omadacycline decline half-life of 21.70hrs. Fig. 3A show the MIC results, highlighting the trailing effect in cultures with or without 50% daily drug supplementation to keep the concentrations constant as in the beginning of the experiment. The omadacycline MIC against M. avium with 100% growth inhibition or absence of bacterial pellet was recorded as 128mg/L when no drug was supplemented, versus 64mg/L MIC with daily 50% drug supplementation. However, if we consider 80% reduction in the pellet size and the trailing effect, the MICs would be 1 mg/L and 0.5mg/L, respectively. Fig. 3B shows the M. avium inhibitory sigmoid Emax model results for the day 7 cultures. Parameter estimates with and without 50% daily drug supplementation were compared for the null hypothesis that one curve fits both sets of data, which was rejected and demonstrated 7.98-fold differences in potency (p < 0.0001) as shown in Table 2. Thus, 50% daily drug supplementation did improve omadacycline potency against M. avium. Another interesting observation, shown in Fig. 3C, was >99% growth inhibition was with 4mg/L concentration with daily drug supplementation and 16mg/L without supplementation. Thus, with drugs showing trailing effect, precise MIC should be determined using the CFU/mL which, however, will make it labor intensive and difficult to perform in a routine clinical laboratory.
Table 2.
Parameter | No Supplementation |
50% Daily Drug Supplementation |
---|---|---|
Estimate (95% confidence intervals) | Estimate (95% confidence intervals) | |
| ||
Econ (log10 CFU/mL) | 7.28 (6.80–7.82) | 7.56 (6.95–8.19) |
Emax (log10 CFU/mL) | 9.01 (6.89–19.27) | 7.45 (6.48–8.64) |
H | 0.84 (0.51–1.25) | 1.08 (0.76–1.59) |
EC50 (mg/L] | 25.30 (12.30–292.0) | 3.17 (2.21–5.07) |
R 2 | 0.98 | 0.98 |
As regards to M. kansasii, the doubling time was calculated as 31.15hr (95% CI: 19.45–38.49 hr), which was longer than the omadacycline decline half-life. Fig. 4A shows the omadacycline MICs for M. kansasii with and without 50% daily drug supplementation. The figure shows that the MIC was >128mg/L without drug supplementation and 32mg/L with 50% daily drug supplementation. This is at least a 3-tube dilution difference and does not consider the trailing effect that might interpret a lower MIC. However, if we consider the trailing effect and 80% reductions in pellet size, the MIC would be 32mg/L and 4 mg/L, respectively. Fig. 4B and Table 3 shows the inhibitory sigmoid Emax models with and without 50% daily drug supplementation. Parameter estimates with and without 50% daily drug supplementation were compared for the null hypothesis that one curve fits both sets of data, which was rejected and demonstrated 4.3-fold differences in potency (p < 0.0001). Fig. 4C shows that the drug concentration required for 2 log10 CFU/mL kill below stasis would be 32mg/L with supplementation and >128mg/L without supplementation, matching the visual inspection readouts for 100% cut-off instead of the currently used 80% reduction in the pellet size.
Table 3.
Parameter | No Supplementation |
50% Daily Drug Supplementation |
---|---|---|
Estimate (95% confidence intervals) | Estimate (95% confidence intervals) | |
| ||
Econ (log10 CFU/mL) | 7.07 (6.72–7.54) | 6.08 (5.65–6.58) |
Emax (log10 CFU/mL) | 5.70 (3.21 to imprecise) | 6.97 (5.81–9.76) |
H | 0.83 (Imprecise to 1.68) | 1.05 (0.68–1.68) |
EC50 (mg/L] | 63.39 (18.50 to imprecise) | 14.79 (9.44–39.22) |
R 2 | 0.93 | 0.98 |
4. Discussion
Our first message is that for SGM (M. avium and M. kansasii) whose doubling times are longer compared to the rate of omadacycline degradation in solution, visual readouts using the broth micro-dilution method will result in several tube dilutions higher MICs, leading to the erroneous assumption that drugs such as omadacycline may not work for SGM. Yet, in vivo model data [11], hollow fiber data [3], and limited number of case series demonstrate good omadacycline efficacy [12,14]. Here, using M. abscessus as model organism, we show that when the bacterial doubling-time is lower than the omadacycline degradation half-life, the MICs are the same with and without 50% daily drug supplementation, so that MICs are not artefactual. However, once the bacterial doubling-time approaches or exceeds the omadacycline degradation half-life, supplementation that takes into account the 50% degradation every 24hrs leads to MIC reduction of several-tube dilution. The pharmacokinetics/pharmacodynamics explanation is straight forward, there is loss of drug potency (EC50) due to the drug degradation. Our solution here was daily drug supplementation that is easy to perform in research laboratories. However, this would be laborious in clinical laboratories and is difficult to automate. Thus, a more permanent solution might be to fortify test compounds that degrade rapidly with chemicals that could slow test compound’s degradation. However, specific adjuvants/compounds may alter drug activity in vitro. Thus, more works needs to be done regarding optimization of drug susceptibility methods for drugs that degrade in solution.
The data presented here highlight some of the challenges with drug susceptibility testing in NTM. The technical challenges include difficulties in inoculum calibration, drug instability, as well as a lack of standardized interpretive criteria (visual MIC) due to the trailing effect [5,15]. In addition, Nicklas et al. have also shown differences in MICs of RGM (M. abscessus) by culture media: CAMHB gave lower omadacycline MICs than Middlebrook 7H9 broth [11]. This adds further complexity to susceptibility testing, on top of drug degradation, and on clinical interpretation of the antimicrobial susceptibility results. Therefore, there is a need for the development and implementation of quality-controlled reliable and reproducible drug susceptibility testing techniques for NTM, especially for the drugs that degrade faster than the doubling time of the bacteria [4,16].
Second, the problem of trailing MICs is as old as clinical antibiotic susceptibility testing, with extensive descriptions by Bauer and Sherris with early sulfonamides and in Mycobacteria described by Wallace et al. in the 1980s [17,18]. We have previously shown that this could be accounted in part, by drug degradation in solution [4]. Here, we identified the CFUs in all wells, including those showing trailing, in three NTM species (M. abscessus, M. avium, and M. kansasii). We specifically wanted to determine which of the endpoints 80% or 100% pellet size reduction by naked eye, correlate with >99% inhibition by CFU/mL. Using SGM results, we show that 99% inhibition gives results more like the 100% cut-off value than 80%.
Third, the MIC, doubling time versus degradation half-life results for SGM, and to a certain extent even the RGM, means that time kill studies with static concentrations conducted over >24hrs with drugs that rapidly degrade might also give erroneous results. Conceivably, one would get rapid regrowth that would be attributed to the emergence of resistance when in fact it may simply be drug being degraded. This means investigators should consider testing the stability of the agents in the culture medium over the conduct of the study under the same temperature conditions.
Among the limitations of our study is that in attempt to explore the reason for MIC discrepancy, our methods may be considered as deviation from the recommended CLSI [19] method of drug susceptibility testing for mycobacteria. We used 7H9 broth that has different composition compared to the CAMHB. In addition, CLSI does not recommend addition of any growth supplement for RGM, whereas 7H9 broth was supplemented with 10% OADC. This protocol deviation was necessary to compare the growth rate/doubling time of the different NTM species between different media commonly used to grow the mycobacteria and how these might affect the overall test results. The hypothesis was if a media supports rapid growth of bacteria, longer incubation time will result in higher MIC. It turned out that indeed the MICs between 7H9 broth were higher compared to CAMHB and this could partially be attributed to faster growth in the given culture medium. Our findings also suggest that during the approval process, the drug manufacturer should also advise the laboratories which growth medium should be used to perform the drug susceptibility testing.
In summary, with the prospect of new drugs, such as omadacycline, to treat difficult-to-treat NTM infections, parallel efforts are needed to develop new drug susceptibility testing methods for drug that degrade faster than the doubling time of the slowly growing mycobacteria.
Funding sources
SS is supported by funding from the department of Pulmonary Immunology, UTHCT [423500/14000], University of Texas System STARS award [250439/39411], and 1R21AI148096 from the National Institute of Allergy and Infectious Diseases. SKH is supported by funding from NIAID R01 AI137080 and U01 AI150508.
Footnotes
Declaration of competing interest
Tawanda Gumbo founded and is president and CEO of Praedicare Inc., a pre-clinical and translational contract research organization, and founded Praedicare Africa, a clinical contract research organization. All other authors have nothing to declare.
Contributor Information
Prem Shankar, Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA.
Sanjay Singh, Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA.
Gunavanthi D. Boorgula, Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA
Tawanda Gumbo, Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, TX, USA; Hollow Fiber System & Experimental Therapeutics Laboratories, Praedicare Inc, Dallas, TX, USA.
Scott K. Heysell, Division of Infectious Diseases and International Health, University of Virginia, USA
Shashikant Srivastava, Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA.
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