A clinically reflective model of the human colon was used to investigate the effects of the broad-spectrum antibiotic omadacycline on the gut microbiome and the subsequent potential to induce simulated Clostridium difficile infection (CDI). Triple-stage chemostat gut models were inoculated with pooled human fecal slurry from healthy volunteers (age, ≥60 years).
KEYWORDS: Clostridium difficile infection, omadacycline, gut microflora, gut model
ABSTRACT
A clinically reflective model of the human colon was used to investigate the effects of the broad-spectrum antibiotic omadacycline on the gut microbiome and the subsequent potential to induce simulated Clostridium difficile infection (CDI). Triple-stage chemostat gut models were inoculated with pooled human fecal slurry from healthy volunteers (age, ≥60 years). Models were challenged twice with 107 CFU C. difficile spores (PCR ribotype 027). Omadacycline effects were assessed in a single gut model. Observations were confirmed in a parallel study with omadacycline and moxifloxacin. Antibiotic instillation was performed once daily for 7 days. The models were observed for 3 weeks postantibiotic challenge. Gut microbiota populations and C. difficile total viable and spore counts were enumerated daily by culture. Cytotoxin titers and antibiotic concentrations were also measured. Gut microbiota populations were stable before antibiotic challenge. Moxifloxacin instillation caused an ∼4 log10 CFU/ml decline in enterococci and Bacteroides fragilis group populations and an ∼3 log10 CFU/ml decline in bifidobacteria and lactobacilli, followed by simulated CDI (vegetative cell proliferation and detectable toxin). In both models, omadacycline instillation decreased populations of bifidobacteria (∼8 log10 CFU/ml), B. fragilis group populations (7 to 8 log10 CFU/ml), lactobacilli (2 to 6 log10 CFU/ml), and enterococci (4 to 6 log10 CFU/ml). Despite these microbial shifts, there was no evidence of C. difficile bacteria germination or toxin production. In contrast to moxifloxacin, omadacycline exposure did not facilitate simulated CDI, suggesting this antibiotic may have a low propensity to induce CDI in the clinical setting.
INTRODUCTION
Clostridium difficile infection (CDI) is the leading cause of nosocomial antibiotic-associated diarrhea around the world and a major cause of morbidity in the hospitalized elderly (1).
A stable gut microbiota provides colonization resistance, a key factor in preventing C. difficile colonization and proliferation (2). Antibiotic use is a substantial risk factor for CDI due to the disruption of the microbiota. In particular, broad-spectrum antibiotics (e.g., fluoroquinolones, cephalosporins, and clindamycin) represent an increased CDI risk, especially when they are associated with the protracted impairment of microbiota populations (3, 4).
Omadacycline is a potent aminomethylcycline, with in vitro activity against Gram-positive and Gram-negative bacteria, including methicillin-susceptible and -resistant Staphylococcus aureus, coagulase-negative staphylococci, Enterococcus faecalis, Enterococcus faecium, Streptococcus pneumoniae, Klebsiella pneumoniae, and Bacteroides fragilis (5, 6). Omadacycline has recently completed phase 3 clinical trials for acute bacterial skin and skin structure infections and community-acquired bacterial pneumonia (7). Similar to other tetracyclines, omadacycline inhibits protein synthesis by binding to the 30S ribosomal subunit, although this novel antimicrobial has been structurally modified to overcome efflux mechanisms (6, 8). The effect of omadacycline on the normal gut microbiome and its subsequent potential for the induction of CDI have not been investigated.
The in vitro gut model has been previously used to study antibiotic predisposition to simulated CDI using epidemic virulent strains, and the results appear to correlate well with clinical CDI risk (9). Antibiotics known to have a high propensity to induce CDI clinically have induced CDI in this model (9–12). Conversely, piperacillin-tazobactam and tigecycline, antibiotics with a low propensity to induce CDI, did not promote C. difficile germination and toxin production in the gut model (13, 14).
This study investigated the effects of omadacycline instillation on the normal gut microbiome populations and the subsequent potential for induction of CDI compared with those of moxifloxacin.
RESULTS
Effects of omadacycline instillation on gut microflora and C. difficile populations.
A single triple-stage chemostat model (see Fig. S1 in the supplemental material) containing a stable microbiota derived from healthy stool samples was used to investigate the effects of omadacycline on the colonic microflora and the propensity of the antibiotic to induce simulated CDI. This gut model, here referred to as OMC, was instilled with a clinically reflective regimen of omadacycline, and microbial populations, including Clostridium difficile total counts and spores, were monitored daily. The changes in gut microbial populations in vessels 2 and 3 were similar during omadacycline instillation. Vessel 3 is of most clinical relevance for CDI (see Materials and Methods). Results of bacterial enumeration in vessel 3 are shown in Fig. 1, whereas vessel 2 data are presented as supplemental material (see Fig. S2). Omadacycline instillation caused a decline of ∼7 log10 CFU/ml in B. fragilis group bacteria (standard error [SE], ±0.16) and a decline of ∼8 log10 CFU/ml in bifidobacteria populations (SE, ±0.14). Both of these bacterial populations decreased to below the limit of detection (∼1.2 log10 CFU/ml) in vessel 3 (Fig. 1a). Enterococcus spp. (SE, ±0.18) and lactobacilli (SE, ± 0.1) decreased ∼4 log10 CFU/ml and ∼2 log10 CFU/ml, respectively (Fig. 1b). Lactose-fermenting Enterobacteriaceae populations (SE, ±0.18) increased during omadacycline exposure, between 2 log10 CFU/ml in vessel 2 and 1 log10 CFU/ml in vessel 3. Overall, a 2-log decrease in total viable counts (SE, ±0.18) was observed following omadacycline exposure, whereas total facultative anaerobic populations (SE, ±0.25) remained stable. The recovery of gut microbiota populations was observed 7 days after omadacycline instillation ended, and populations had returned to steady-state levels by the end of the experiment.
C. difficile total viable counts (TVCs; SE, ±0.17) remained roughly equal to spore counts (SE, ±0.23; as distinguished by alcohol tolerance) throughout the experiment in all three vessels of OMC, indicating that all C. difficile bacteria remained as spores (vessel 3 data shown in Fig. 1c; for vessel 2 data, see Fig. S2c in the supplemental material). Vegetative cell proliferation was not observed, and toxin was not detected in any of the vessels. Simulated CDI did not occur in the OMC gut model.
In OMC, the mean bioactive omadacycline concentrations peaked at 384 (SE, ±64.8) mg/liter, 163 (SE, ±30.3) mg/liter, and 85 (SE, ±46.7) mg/liter in vessels 1, 2 and 3, respectively. Antimicrobial concentrations in OMC were detectable for 2, 3, and 5 days in vessels 1, 2, and 3, respectively, in the postantibiotic period.
In vitro comparison of omadacycline and moxifloxacin propensity to induce CDI.
Following the observation that omadacycline did not induce simulated CDI in model OMC, a pair of gut models comparing omadacycline (OMC1) and moxifloxacin (MOX) exposure was run. Moxifloxacin has previously been shown to induce simulated CDI in the in vitro gut model (12) and has been linked to the spread of the epidemic 027 ribotype (15).
Again, population changes in vessel 2 and vessel 3 were similar, so vessel 3 data only are shown in Fig. 2 and 3, whereas vessel 2 data are presented in Fig.S3 and S4 in the supplemental material. The addition of C. difficile spores to the gut models did not cause any variations in the intestinal bacterial populations monitored in OMC1 and MOX.
In OMC1, omadacycline exposure caused declines in B. fragilis group bacteria (SE, ±0.11) and bifidobacteria (SE, ±0.24) of ∼8 log10 CFU/ml, to below the limit of detection (Fig. 2a). Lactobacilli (SE, ±0.20) and Enterococcus spp. (SE, ±0.25) populations declined by ∼6 log10 CFU/ml (Fig. 3a), and lactose-fermenting Enterobacteriaceae populations (SE, ±0.099) decreased approximately ∼5 log10 CFU/ml. Overall, omadacycline instillation in OMC1 led to a decrease of ∼5 log10 CFU/ml in the total viable counts (SE, ±0.2), although the total facultative anaerobic populations (SE, ±0.18) remained fairly stable throughout the experiment, suggesting a decline of the obligate anaerobic populations. Gut microbiota had returned to steady-state levels by the end of the experiment, with the initial recoveries being observed 9 days after omadacycline instillation ended.
Moxifloxacin instillation caused marked declines in B. fragilis group populations (SE, ±0.1), between ∼4 log10 CFU/ml in vessel 3 (Fig. 2b) and ∼8 log10 CFU/ml in vessel 2 (see Fig. S3b). Populations of bifidobacteria (SE, ±0.18) and lactobacilli (SE, ±0.1) declined ∼3 log10 CFU/ml in both vessels 2 and 3 (Fig. 2b and 3b; see also Fig.S3b and S4b). Enterococci populations (SE, ±0.18) also decreased ∼4 log10 CFU/ml in both vessels. Lactose-fermenting Enterobacteriaceae populations (SE, ±0.18) remained stable in vessel 3 but declined ∼2 log10 CFU/ml in vessel 2 (Fig. 3b; see also Fig. S4b). Overall, both obligate (SE, ±0.14) and facultative anaerobes (SE, ±0.19) remained constant during and after moxifloxacin instillation, as suggested by the total viable counts. Microbiota populations returned to steady-state numbers approximately 1 week after moxifloxacin instillation ended (Fig. 2b and 3b).
Effect of omadacycline and moxifloxacin on C. difficile.
As was observed in OMC, TVCs (SE, ±0.09) in OMC1 remained similar to spore counts (SE, ±0.17) throughout the experiment in all vessels. C. difficile vegetative cell proliferation was not observed, and toxin was not detected (Fig. 4a; see also Fig. S5a).
In all vessels of the MOX gut model, C. difficile remained as spores during the internal control stage (period B); however, during moxifloxacin instillation (period C), an increase in TVCs (SE, ±0.16) compared with spore counts (SE, ±0.16) was observed, corresponding to spore germination and vegetative cell proliferation. TVCs peaked at ∼4.2 log10 CFU/ml on day 30 in vessel 1 (data not shown) and ∼6 log10 CFU/ml in vessel 2 (see Fig. S5b) and vessel 3 at day 33 (Fig. 4b). The increase in TVCs was concomitant with the detection of C. difficile cytotoxin, which reached a peak titer of 2 relative units in vessel 1 and 3 relative units in vessels 2 and 3. Both TVCs and toxin titers decreased toward the end of the experiment, with toxin undetectable in all vessels by day 42.
Antimicrobial concentrations in the gut models.
Omadacycline concentrations in OMC1 peaked at 242 (SE, ±41) mg/liter, 119 (SE, ±11.47) mg/liter, and 48 (SE, ±2.78) mg/liter in vessels 1, 2, and 3, respectively. Omadacycline remained detectable for 2 days in vessels 1 and 2 (vessel 2 data are shown in Fig. S5a) and for 3 days in vessel 3 (Fig. 4a) after antibiotic instillation ceased.
Moxifloxacin concentrations peaked at 55 (SE, ±5.2) mg/liter, 34 (SE, ±2.3) mg/liter, and 25 (SE, ±3.3) mg/liter in vessels 1, 2, and 3, respectively, and remained detectable for 2 days in the postantibiotic period in vessels 1 and 2 (vessel 2 data are shown in Fig. S5b), and for 3 days in vessel 3 (Fig. 4b).
DISCUSSION
The instillation of omadacycline did not elicit simulated CDI in an in vitro triple-stage chemostat model (OMC). To further confirm OMC gut model observations, a second experiment was conducted, where an omadacycline gut model (OMC1) was run in parallel with a model dosed with moxifloxacin (MOX) in order to compare the potential of each antibiotic to induce simulated CDI. Despite the fact that gut microbiota dysbiosis appeared more severe following omadacycline exposure, C. difficile germination and toxin production (simulated CDI) were observed only in the model instilled with moxifloxacin. The use of different fecal emulsions to initiate OMC and OMC1 aimed to analyze the effect of the antimicrobial in unrelated human intestinal microbiota. Similar to expected variation in different individuals, variations in the extent of the microflora disruption were observed in OMC and OMC1; however, CDI was not observed in either of the models.
Omadacycline effects on the anaerobic gut microbiota populations were similar in OMC and OMC1, with all measured anaerobic populations affected, most notably bifidobacteria and B. fragilis group bacteria, which declined to below the limit of detection. The main differences between these models were observed during antimicrobial instillation (period C) in facultative anaerobic populations. An increase of ∼1 log10 CFU/ml in Enterobacteriaceae populations was observed in OMC, in opposition to the 5 log10 CFU/ml decline observed in OMC1. This variation is likely to be associated with the different fecal slurry used to initiate each model. A study investigating 8,345 clinical Enterobacteriaceae isolates has reported MICs to omadacycline ranging from ≤0.25mg/liter (4.1%) to ≥32mg/liter (3.4%) (16). Given the complexity of the normal microbiota, the presence of Enterobacteriaceae strains with a wide range of susceptibilities to omadacycline could explain the differences observed in these populations during antibiotic instillation in the gut model. Compared with omadacycline, moxifloxacin instillation caused a less pronounced decline in B. fragilis group bacteria, enterococci, and lactobacilli populations in vessels 2 and 3, but this was followed by the detection of toxin in all three vessels. These findings are consistent with previous data (12).
In a phase 1 clinical trial, omadacycline metabolism and recovery rates were investigated in healthy individuals, following the ingestion of the recommended daily oral dose of 300 mg of the antimicrobial (7, 17). Approximately 95% of the antimicrobial was excreted, predominantly through feces (mean, 81.1%) and urine (14.4%), without drug metabolites being detected. The highest concentration of omadacycline registered in human feces in that study was ∼430 mg/Kg (unpublished data), which informed the use of a 430 mg/liter once daily dosing regimen in this study. Peak omadacycline levels observed in vessel 3 were lower than 430 mg/liter, potentially suggesting the occurrence of drug metabolism or sequestration. The lack of metabolites observed in the feces clinically (17) indicates that sequestration into the biofilm is more likely. Observed omadacycline concentrations were higher than those determined during moxifloxacin dosing. Moxifloxacin concentrations observed in vessels 1, 2, and 3 were consistent with the values reported in previous moxifloxacin gut models (12) and are reflective of gut levels seen in vivo (18). Microbial recovery in either OMC model was observed between 7 and 9 days postcessation of omadacycline.
The observations in our triple-stage model have been shown to correlate with clinical observations of antimicrobial propensity to induce CDI in vivo (9–14) and have changed United Kingdom national antibiotic prescribing guidelines (19). Antibiotics, such as cephalosporins (9), clindamycin (10), co-amoxyclav (11), or fluoroquinolones (12), known to have a high propensity to induce CDI clinically, have induced CDI in this model. Similarly, piperacillin-tazobactam (13) and tigecycline (14), two antibiotics considered of low risk for CDI clinically, have not induced simulated CDI in the gut model. An intact colonic microbiota has an important role in protecting the organism against intestinal bacterial pathogens (2, 20). Broad-spectrum antibiotic therapy causes a decline of the commensal microflora, leading to a diminution of microbiota diversity and the subsequent opportunity for the outgrowth of pathogens, such as C. difficile (3, 4). Notably, the gut model studies that investigated piperacillin-tazobactam (13) and tigecycline (14) also observed a significant decrease in intestinal microflora populations and yet an absence of induction of CDI. The tigecycline MIC of the PCR ribotype 027 strain used in this study was 0.06 mg/liter, with tigecycline concentrations remaining above 1 mg/liter 5 days after cessation of antibiotic instillation (14).
In the present study, the omadacycline MIC (0.25 mg/liter) of the C. difficile strain added to the gut model was assessed by the recommended agar dilution method (21) (data not shown). C. difficile ATCC 700057 (MIC, 1 mg/liter) was used as a control (22). Omadacycline levels dropped to below the limit of detection (8 mg/liter) at day 34 and 32, in OMC and OMC1, respectively. While the bioactive concentration of omadacycline remains higher than the strain MIC, it would be expected that any C. difficile spore outgrowth would be prevented; however, once the concentrations decrease below the MIC, spore outgrowth and vegetative cell proliferation would no longer be prevented. This is observed following clindamycin exposure in the gut model. A C. difficile strain with a clindamycin MIC of 0.5 mg/liter does not germinate during clindamycin instillation (10), but CDI is consistently observed in the postantibiotic period. Once clindamycin levels fall below the limit of detection (typically around 5- to 7-days postinstillation), C. difficile vegetative proliferation and toxin are observed. It is possible that omadacycline, tigecycline, and piperacillin-tazobactam intrinsic activity against C. difficile persists long enough to prevent its proliferation, even when a potential niche has been created by antibiotic exposure. Baines et al. (13) have previously proposed that the biofilm formed on the walls of the vessels may contribute to the swift recovery of the bacterial populations in the gut model and operates as a bacterial reservoir during antimicrobial dosing. It is possible that the biofilm formed in the chemostat model can also contribute to the persistence of the drug to a concentration higher than 0.25 mg/liter, sufficient to inhibit C. difficile spore germination and, therefore, prevent simulated CDI in the gut model. The sequestration of fidaxomicin into the biofilm of the gut model has previously been observed and hypothesized to contribute to the prolonged detection of fidaxomicin in the gut model and patient stool (23). Moreover, the relatively rapid reconstitution of gut microflora populations after the cessation of antimicrobial instillation will provide further protection against CDI.
Despite the disruptive effects of omadacycline to the colonic microflora, compared with the present and previous gut model studies, our data suggest that omadacycline may have a lower-risk for CDI induction than moxifloxacin and other fluoroquinolones. These observations agree with published studies focusing on the impact of antibiotic exposure on CDI risk in hospital (24) and community settings (25), which reported tetracyclines to be among the classes of antimicrobials with the lowest risk for CDI induction (26). Furthermore, in a recent phase 3 community-acquired pneumonia clinical trial, there were no cases of CDI observed in patients treated with omadacycline, compared with eight cases (2%) in those who received moxifloxacin (27). Further human in vivo data are needed to confirm these observations suggesting a low CDI propensity for omadacycline.
MATERIALS AND METHODS
Gut model.
Three triple-stage chemostat gut models were assembled to simulate CDI, as previously described (13). Briefly, three glass vessels were arranged in a weir cascade formation, maintained at 37°C, and pH controlled to represent the proximal (vessel 1, 5.5 ± 0.2), medial (vessel 2, 6.2 ± 0.2), and distal (vessel 3, 6.8 ± 0.2) human colonic environment (see Fig. S1). Vessel 1 has an operating volume of 280 ml, whereas vessels 2 and 3 operate at 300 ml, and each vessel simulates the nutrient availability and alkalinity observed in the area of the colon represented. An anaerobic environment is achieved by sparging the system with nitrogen, and a complex growth medium (13) connected to vessel 1 at a preestablished rate of 0.015h−1 ensures nourishment. The microbial abundance within the gut model has previously been validated against the intestinal contents of sudden-death victims, and it provides a close simulation of bacterial activities and composition in different areas of the colon (28). In vivo studies have shown the distal colon to be severely affected during human CDI (29); thus, in our model, vessel 3 is considered to be most physiologically relevant in terms of propensity to induce CDI. The gut model has been used to assess in vitro drug efficacy against simulated CDI at various stages of preclinical and clinical drug development, with data from in vitro models (14, 23) correlating well with data from animal models and phase 3 clinical trials (30–32).
Experimental design.
A gut model experiment (OMC) was conducted to assess the effects of omadacycline in the intestinal microflora and in C. difficile populations. To confirm the initial observations, a second assay was later performed. The subsequent experimental design included a new gut model exposed to omadacycline (OMC1), run in parallel with a gut model dosed with moxifloxacin (MOX) (Fig. 5). Moxifloxacin is a broad-spectrum fluoroquinolone that has been shown to induce simulated CDI in vivo (1) and in the gut model (12). It was also the comparator antibiotic chosen for the omadacycline phase 3 clinical trial and, therefore, was selected as a positive control for the induction of simulated CDI in this study.
The OMC model was inoculated with fecal emulsion (10% wt/vol in prereduced PBS) prepared from C. difficile-negative feces of three healthy volunteers, while OMC1 and MOX models were inoculated with a fecal emulsion prepared from C. difficile-negative feces of five healthy volunteers. All donors were anonymous, ≥60 years of age, and with no history of antimicrobial therapy for 3 months.
Following inoculation with fecal emulsion, models were left without intervention for 2 weeks to reach a steady state (period A). A single 1-ml aliquot of spores (107 CFU/ml) of C. difficile strain 210 (BI/NAP1/PCR ribotype 027/toxinotype III) (23) was inoculated into vessel 1 of each model (period B). Seven days later, at the start of antimicrobial dosing period, a second inoculum of spores (107 CFU/ml) was added to vessel 1. A PCR ribotype 027 C. difficile strain was chosen for the study due to the clinical relevance of this ribotype. The 210 strain was initially isolated in 2005, during a CDI outbreak at the Maine Medical Centre (Portland, ME) and was kindly supplied by Robert Owens. Clinically relevant antimicrobial dosages were used during period C. Models OMC and OMC1 were dosed with 430 mg/liter of omadacycline (once daily, 7 days), while model MOX received 43 mg/liter of moxifloxacin (once daily, 7 days). Antimicrobial dosing was adjusted to achieve the desired concentration in the 280-ml volume of vessel 1. During a phase 1 clinical trial, ∼80% of a single oral radiolabeled dose (300 mg) of omadacycline was excreted in the feces (17). This equated to a maximum fecal omadacycline concentration of 423,000 ngEq/g or ∼430 mg/Kg (unpublished data). A dosing regimen of 430 mg/liter once daily was therefore used in this study, equating to 120 mg dosed daily into vessel 1 of the gut model.
The moxifloxacin dosing regimen was performed as previously described (12). Moxifloxacin concentration was based on published data of the concentration of this antimicrobial in human feces. Following the antimicrobial period, the models were monitored for a further 21 days with no interventions (period D).
Enumeration of endogenous bacteria, and quantification of C. difficile toxin.
Gut microflora populations were monitored using viable counting on selective and nonselective agars, as described previously (33). Populations were measured in triplicate (three technical replicates of a single biological replicate) in vessels 2 and 3 every other day during period A and daily from period B onward. C. difficile total viable counts (TVC) and spore counts were also monitored daily in vessels 1, 2, and 3 throughout the experiment (periods A–D). Spore counts were obtained through serial dilution and plating of gut model fluid after alcohol shock. The C. difficile cytotoxin was monitored from period B onward using a quantitative Vero cell cytotoxicity assay (33). Cytotoxin titers were correlated to an arbitrary log10 scale and expressed as relative units (RUs) at the highest dilution, with >70% cell rounding (i.e., 100, 1RU; 10−1, 2RUs; and 10−2, 3RUs). The limit of detection was ∼1.2 log10 CFU/ml for total counts, ∼1.5 log10 CFU/ml for spore counts, and 1 RU for toxin titer.
Antimicrobial bioassay.
Antimicrobial concentrations in each gut model vessel during periods C and D were determined using a microbiological bioassay, as described previously (33). Concentrations of omadacycline were determined using Wilkins-Chalgren agar (Oxoid) with Kocuria rhizophila as the indicator organism. Concentrations of moxifloxacin were determined using Iso-Sensitest agar (Oxoid) with Escherichia coli as the indicator organism.
Ethics statement.
The collection/use of fecal donations from healthy adult volunteers following informed consent was approved by the Leeds Institute of Health Sciences and Leeds Institute of Genetics, Health and Therapeutics and Leeds Institute of Molecular Medicine, University of Leeds joint ethics committee (reference HSLTLM/12/061).
Supplementary Material
ACKNOWLEDGMENTS
This study was initiated and financially supported by Paratek Pharmaceuticals, Inc. The funder had no role in data collection or data analysis.
In the past 3 years, C.H.C. has received research funding from Astellas Pharma Europe, Da Volterra, and Cubist Pharmaceuticals and support to attend meetings from Astellas. M.H.W. has received honoraria for consultancy work, financial support to attend meetings, and research funding from Astellas, AstraZeneca, Abbott, Actelion, Alere, AstraZeneca, Bayer, bioMérieux, Cerexa, Cubist, Da Volterra, Durata, Merck, Nabriva, Pfizer, Qiagen, Roche, Seres, Synthetic Biologics, Summit, and The Medicines Company.
We thank Sally Pilling for the technical assistance.
Footnotes
Supplemental material for this article may be found at https://doi.org/10.1128/AAC.01581-18.
REFERENCES
- 1.Freeman J, Bauer MP, Baines SD, Corver J, Fawley WN, Goorhuis B, Kuijper EJ, Wilcox MH. 2010. The changing epidemiology of Clostridium difficile infections. Clin Microbiol Rev 23:529–549. doi: 10.1128/CMR.00082-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Larson HE, Price AB, Borriello SP. 1980. Epidemiology of experimental enterocecitis due to Clostridium difficile. J Infect Dis 142:408–413. doi: 10.1093/infdis/142.3.408. [DOI] [PubMed] [Google Scholar]
- 3.Wiström J, Norrby SR, Myhre EB, Eriksson S, Granström G, Lagergren L, Englund G, Nord CE, Svenungsson B. 2001. Frequency of antibiotic-associated diarrhoea in 2462 antibiotic-treated hospitalized patients: a prospective study. J Antimicrob Chemother 47:43–50. doi: 10.1093/jac/47.1.43. [DOI] [PubMed] [Google Scholar]
- 4.Khanafer N, Vanhems P, Barbut F, Luxemburger C, Group CS. 2017. Factors associated with Clostridium difficile infection: a nested case-control study in a three year prospective cohort. Anaerobe 44:117–123. doi: 10.1016/j.anaerobe.2017.03.003. [DOI] [PubMed] [Google Scholar]
- 5.Macone AB, Caruso BK, Leahy RG, Donatelli J, Weir S, Draper MP, Tanaka SK, Levy SB. 2014. In vitro and in vivo antibacterial activities of omadacycline, a novel aminomethylcycline. Antimicrob Agents Chemother 58:1127–1135. doi: 10.1128/AAC.01242-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Villano S, Steenbergen J, Loh E. 2016. Omadacycline: development of a novel aminomethylcycline antibiotic for treating drug-resistant bacterial infections. Future Microbiol 11:1421–1434. doi: 10.2217/fmb-2016-0100. [DOI] [PubMed] [Google Scholar]
- 7.Bundrant LA, Tzanis E, Garrity-Ryan L, Bai S, Chitra S, Manley A, Villano S. 2018. Safety and pharmacokinetics of the aminomethylcycline antibiotic omadacycline administered to healthy subjects in oral multiple-dose regimens. Antimicrob Agents Chemother 62:e01487-17. doi: 10.1128/AAC.01487-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Draper MP, Weir S, Macone A, Donatelli J, Trieber CA, Tanaka SK, Levy SB. 2014. Mechanism of action of the novel aminomethylcycline antibiotic omadacycline. Antimicrob Agents Chemother 58:1279–1283. doi: 10.1128/AAC.01066-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Freeman J, O'Neill FJ, Wilcox MH. 2003. Effects of cefotaxime and desacetylcefotaxime upon Clostridium difficile proliferation and toxin production in a triple-stage chemostat model of the human gut. J Antimicrob Chemother 52:96–102. doi: 10.1093/jac/dkg267. [DOI] [PubMed] [Google Scholar]
- 10.Freeman J, Baines SD, Jabes D, Wilcox MH. 2005. Comparison of the efficacy of ramoplanin and vancomycin in both in vitro and in vivo models of clindamycin-induced Clostridium difficile infection. J Antimicrob Chemother 56:717–725. doi: 10.1093/jac/dki321. [DOI] [PubMed] [Google Scholar]
- 11.Chilton CH, Freeman J, Crowther GS, Todhunter SL, Nicholson S, Wilcox MH. 2012. Co-amoxiclav induces proliferation and cytotoxin production of Clostridium difficile ribotype 027 in a human gut model. J Antimicrob Chemother 67:951–954. doi: 10.1093/jac/dkr584. [DOI] [PubMed] [Google Scholar]
- 12.Saxton K, Baines SD, Freeman J, O'Connor R, Wilcox MH. 2009. Effects of exposure of Clostridium difficile PCR ribotypes 027 and 001 to fluoroquinolones in a human gut model. Antimicrob Agents Chemother 53:412–420. doi: 10.1128/AAC.00306-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Baines SD, Freeman J, Wilcox MH. 2005. Effects of piperacillin/tazobactam on Clostridium difficile growth and toxin production in a human gut model. J Antimicrob Chemother 55:974–982. doi: 10.1093/jac/dki120. [DOI] [PubMed] [Google Scholar]
- 14.Baines SD, Saxton K, Freeman J, Wilcox MH. 2006. Tigecycline does not induce proliferation or cytotoxin production by epidemic Clostridium difficile strains in a human gut model. J Antimicrob Chemother 58:1062–1065. doi: 10.1093/jac/dkl364. [DOI] [PubMed] [Google Scholar]
- 15.Dingle KE, Didelot X, Quan TP, Eyre DW, Stoesser N, Golubchik T, Harding RM, Wilson DJ, Griffiths D, Vaughan A, Finney JM, Wyllie DH, Oakley SJ, Fawley WN, Freeman J, Morris K, Martin J, Howard P, Gorbach S, Goldstein EJC, Citron DM, Hopkins S, Hope R, Johnson AP, Wilcox MH, Peto TEA, Walker AS, Crook DW, Del Ojo EC, Crichton C, Kostiou V, Giess A, Davies J. 2017. Effects of control interventions on Clostridium difficile infection in England: an observational study. Lancet Infect Dis 17:411–421. doi: 10.1016/S1473-3099(16)30514-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pfaller MA, Huband MD, Shortridge D, Flamm RK. 2018. Surveillance of omadacycline activity tested against clinical isolates from the United States and Europe as part of the 2016 SENTRY Antimicrobial Surveillance Program. Antimicrob Agents Chemother 62:e02327-17. doi: 10.1128/AAC.02327-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Flarakos J, Du Y, Gu H, Wang L, Einolf HJ, Chun DY, Zhu B, Alexander N, Natrillo A, Hanna I, Ting L, Zhou W, Dole K, Sun H, Kovacs SJ, Stein DS, Tanaka SK, Villano S, Mangold JB. 2017. Clinical disposition, metabolism and in vitro drug-drug interaction properties of omadacycline. Xenobiotica 47:682–696. doi: 10.1080/00498254.2016.1213465. [DOI] [PubMed] [Google Scholar]
- 18.Edlund C, Beyer G, Hiemer-Bau M, Ziege S, Lode H, Nord CE. 2000. Comparative effects of moxifloxacin and clarithromycin on the normal intestinal microflora. Scand J Infect Dis 32:81–85. [DOI] [PubMed] [Google Scholar]
- 19.Public Health England. 2017. Management of infection guidance for primary care for consultation and local adaptation. PHE publications gateway number 2017227 Public Health England Publications, London, United Kingdom. [Google Scholar]
- 20.Kim SCA, Pamer EG. 2017. The intestinal microbiota: antibiotics, colonization resistance, and enteric pathogens. Immunol Rev 279:90–105. doi: 10.1111/imr.12563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Clinical and Laboratory Standards Institute. 2012. Methods for antimicrobial susceptibility testing of anaerobic bacteria, 8th ed. Approved standard M11-A8 Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 22.Clinical and Laboratory Standards Institute. 2016. Performance standards for antimicrobial susceptibility testing, 27th ed. Informational supplement M100-S27 Clinical and Laboratory Standards Institute, Wayne, PA. [Google Scholar]
- 23.Chilton CH, Crowther GS, Freeman J, Todhunter SL, Nicholson S, Longshaw CM, Wilcox MH. 2014. Successful treatment of simulated Clostridium difficile infection in a human gut model by fidaxomicin first line and after vancomycin or metronidazole failure. J Antimicrob Chemother 69:451–462. doi: 10.1093/jac/dkt347. [DOI] [PubMed] [Google Scholar]
- 24.Tartof SY, Rieg GK, Wei R, Tseng HF, Jacobsen SJ, Yu KC. 2015. A comprehensive assessment across the healthcare continuum: risk of hospital-associated Clostridium difficile infection due to outpatient and inpatient antibiotic exposure. Infect Control Hosp Epidemiol 36:1409–1416. doi: 10.1017/ice.2015.220. [DOI] [PubMed] [Google Scholar]
- 25.Brown KA, Khanafer N, Daneman N, Fisman DN. 2013. Meta-analysis of antibiotics and the risk of community-associated Clostridium difficile infection. Antimicrob Agents Chemother 57:2326–2332. doi: 10.1128/AAC.02176-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tariq R, Cho J, Kapoor S, Orenstein R, Singh S, Pardi DS, Khanna S. 2018. Low risk of primary Clostridium difficile infection with tetracyclines: a systematic review and metaanalysis. Clin Infect Dis 66:514–522. doi: 10.1093/cid/cix833. [DOI] [PubMed] [Google Scholar]
- 27.Stets R, Popescu M, Gonong J, Mitha I, Nseir W, Madej A, Kirsch C, Das A, Garrity-Ryan L, Steenbergen JN, Manley A, Eckburg P, Villano S, Tzanis E, McGovern P, Loh E. 2017. A phase 3 randomized, double-blind, multi-center study to compare the safety and efficacy of IV to oral omadacycline to moxifloxacin for the treatment of adult subjects with CABP (the OPTIC Study), abstr P-1883, p 543–544. Abstr Open Forum Infect Dis. Infectious Diseases Society of America, Arlington, VA. [Google Scholar]
- 28.Macfarlane GT, Macfarlane S, Gibson GR. 1998. Validation of a three-stage compound continuous culture system for investigating the effect of retention time on the ecology and metabolism of bacteria in the human colon. Microb Ecol 35:180–187. doi: 10.1007/s002489900072. [DOI] [PubMed] [Google Scholar]
- 29.Oldfield EI, Oldfield EC 3rd, Johnson DA. 2014. Clinical update for the diagnosis and treatment of Clostridium difficile infection. World J Gastrointest Pharmacol Ther 5:1–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Jump RL, Li Y, Pultz MJ, Kypriotakis G, Donskey CJ. 2011. Tigecycline exhibits inhibitory activity against Clostridium difficile in the colon of mice and does not promote growth or toxin production. Antimicrob Agents Chemother 55:546–549. doi: 10.1128/AAC.00839-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Crook DW, Walker AS, Kean Y, Weiss K, Cornely OA, Miller MA, Esposito R, Louie TJ, Stoesser NE, Young BC, Angus BJ, Gorbach SL, Peto TE, Teams S. 2012. Fidaxomicin versus vancomycin for Clostridium difficile infection: meta-analysis of pivotal randomized controlled trials. Clin Infect Dis 55:S93–S103. doi: 10.1093/cid/cis499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Chilton CH, Freeman J. 2015. Predictive values of models of Clostridium difficile infection. Infect Dis Clin North Am 29:163–177. doi: 10.1016/j.idc.2014.11.011. [DOI] [PubMed] [Google Scholar]
- 33.Chilton CH, Crowther GS, Baines SD, Todhunter SL, Freeman J, Locher HH, Athanasiou A, Wilcox MH. 2014. In vitro activity of cadazolid against clinically relevant Clostridium difficile isolates and in an in vitro gut model of C. difficile infection. J Antimicrob Chemother 69:697–705. doi: 10.1093/jac/dkt411. [DOI] [PubMed] [Google Scholar]
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