J Antimicrob Chemother 2016; 71: 438 – 448 doi:10.1093/jac/dkv371 Advance Access publication 20 November 2015 Staphylococcus aureus develops increased resistance to antibiotics by forming dynamic small colony variants during chronic osteomyelitis L. Tuchscherr1*†, C. A. Kreis2†, V. Hoerr1,3†, L. Flint4, M. Hachmeister4, J. Geraci1, S. Bremer-Streck5, M. Kiehntopf5, E. Medina6, M. Kribus7, M. Raschke2, M. Pletz8, G. Peters4 and B. Löffler1,9 1 Institute of Medical Microbiology, Jena University Hospital, Jena, Germany; 2Department of Trauma, Hand and Reconstructive Surgery, University Hospital of Münster, Münster, Germany; 3Department for Clinical Radiology, University Hospital of Münster, Münster, Germany; 4 Institute of Medical Microbiology, University Hospital of Münster, Münster, Germany; 5Department of Clinical Chemistry and Laboratory Medicine, Jena University Hospital, Jena, Germany; 6Helmholtz Center for Infection Research, Braunschweig, Germany; 7Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Jena, Germany; 8Center for Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany; 9Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany *Corresponding author. Tel: +49-03641-9-393628; Fax: +49-03641-9-393502; E-mail: [email protected] †Contributed equally. Received 29 July 2015; returned 14 September 2015; revised 23 September 2015; accepted 4 October 2015 Objectives: Staphylococcus aureus osteomyelitis often develops to chronicity despite antimicrobial treatments that have been found to be susceptible in in vitro tests. The complex infection strategies of S. aureus, including host cell invasion and intracellular persistence via the formation of dynamic small colony variant (SCV) phenotypes, could be responsible for therapy-refractory infection courses. Methods: To analyse the efficacy of antibiotics in the acute and chronic stage of bone infections, we established long-term in vitro and in vivo osteomyelitis models. Antibiotics that were tested include b-lactams, fluoroquinolones, vancomycin, linezolid, daptomycin, fosfomycin, gentamicin, rifampicin and clindamycin. Results: Cell culture infection experiments revealed that all tested antibiotics reduced bacterial numbers within infected osteoblasts when treatment was started immediately, whereas some antibiotics lost their activity against intracellular persisting bacteria. Only rifampicin almost cleared infected osteoblasts in the acute and chronic stages. Furthermore, we detected that low concentrations of gentamicin, moxifloxacin and clindamycin enhanced the formation of SCVs, and these could promote chronic infections. Next, we treated a murine osteomyelitis model in the acute and chronic stages. Only rifampicin significantly reduced the bacterial load of bones in the acute phase, whereas cefuroxime and gentamicin were less effective and gentamicin strongly induced SCV formation. During chronicity none of the antimicrobial compounds tested showed a beneficial effect on bone deformation or reduced the numbers of persisting bacteria. Conclusions: In all infection models rifampicin was most effective at reducing bacterial loads. In the chronic stage, particularly in the in vivo model, many tested compounds lost activity against persisting bacteria and some antibiotics even induced SCV formation. Introduction Chronic and relapsing infections are severe clinical problems, e.g. in orthopaedic surgery. In particular, bacterial infections of bone tissue tend to evolve into chronicity and become extremely difficult to treat.1 According to the route used by the infecting bacteria to gain access to the bone tissue, different types of osteomyelitis can be categorized, such as haematogenous osteomyelitis2 or osteomyelitis due to continuous spread from a local infection after trauma3 or due to infected foot ulcers.4 All different types of osteomyelitis can develop chronic and recurrent courses that remain symptomatic several weeks to months after infection. Even though the involved pathogens have been found to be susceptible to antimicrobial compounds in in vitro tests, combined and prolonged antibiotic treatments often fail to clear the infection. Consequently, most cases of chronic infections require additional surgical interventions for debridement of infected and devitalized bone tissue or prosthetic material, which puts patients at risk of disability or amputation.1,5,6 One of the most frequent causative pathogen of all different types of osteomyelitis is Staphylococcus aureus.1,5 To establish an infection S. aureus uses a wide variety of virulence factors that enable different infection strategies, including host cell invasion and intracellular persistence.7 During the last several decades # The Author 2015. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved. For Permissions, please e-mail: [email protected] 438 JAC S. aureus SCVs induce antibiotic resistance chronic and therapy-refractory infections have been highly associated with an altered bacterial phenotype, the so-called small colony variants (SCVs).8 Studies with stable or site-directed SCV mutants (e.g. hemB mutants9) revealed that SCVs grow slowly, form only tiny colonies on agar plates and have a reduced rate of metabolism. Due to the altered metabolism some stable SCVs have been found to be less susceptible to antibiotics, e.g. gentamicin and b-lactams.8,10,11 The mechanisms of SCV formation during chronic infections are largely unknown, but there are many indications that SCVs are a very heterogeneous bacterial population.12,13 Only recently we could demonstrate that S. aureus SCVs not only originate from gene mutations, but form continuously in a highly dynamical manner during the infection process.14,15 The precise signals and conditions that mediate SCV formation and/or selection are most likely multifactorial, but are only marginally understood.16 Previous work suggests that both the intracellular milieu14,17 and subinhibitory concentrations of gentamicin16,18 strongly promote the appearance of SCVs. Antibiotics that are frequently used to treat S. aureus osteomyelitis include b-lactams, clindamycin and fluoroquinolones. Vancomycin, linezolid, daptomycin and fosfomycin are applied against resistant strains, such as MRSA.19 – 21 Although rifampicin should never be used in monotherapy, several infection models and clinical studies have shown that it improves treatment outcomes when used in combination with other antibiotics.22,23 Despite the availability of many different antimicrobial compounds, treatment of chronic bacterial bone infections remains a big clinical challenge, which could be due to several reasons. (i) Pathogens like S. aureus can invade host cells, including osteoblasts.24,25 Although many antibiotics accumulate intracellularly, their activity can be lower within host cells.26,27 (ii) As many antimicrobial compounds require metabolically active pathogens for effectiveness, reduced susceptibility can be suspected for bacteria that have switched to low-metabolic SCV phenotypes.8 (iii) Particularly during chronic infections, bone tissue is altered by destructive and remodelling processes that could provide poorly perfused areas for bacterial persistence. (iv) Finally, low concentrations of antibiotics might even promote the formation of SCVs. SCV-promoting/-selecting activity has already been reported for gentamicin and for antifolate agents.10,28 – 30 To investigate these hypotheses we developed in vitro and in vivo long-term osteomyelitis models in which the bacteria have to adapt to their host. In our work we particularly addressed the problems of dynamic SCV development during persistence and the consequences for antimicrobial susceptibility. We measured antimicrobial activity within the intracellular location and within chronically infected host tissue and the effects of antimicrobial compounds in inducing SCV formation. Detection of the deficiencies and pitfalls of antimicrobial treatment strategies in osteomyelitis is a prerequisite to optimize and develop novel treatment options. Materials and methods Bacterial strains and preparation of bacterial inoculum For the infection experiments, overnight cultures of the S. aureus strains 685028 and SH100031 and two clinical osteomyelitis strains (clinical isolates 1 and 2 in this study) were prepared in 30 mL of brain heart infusion (BHI) broth and incubated at 378C and 160 rpm (for each strain). After two washing steps with PBS and centrifugation at 5000 rpm, the concentration of each strain was adjusted to an OD of 1 at 578 nm. The inoculum was re-suspended in tryptic soy broth (TSB) +20% glycerin in order to freeze and preserve the sample until the experiment was done. To control the concentration of the inoculum, the number of cfu/mL was determined by plating on blood agar plates. The strains were susceptible to all antibiotics according to EUCAST susceptibility testing guidelines (Table S1, available as Supplementary data at JAC Online). Preparation and culture of primary human osteoblasts (pHOBs) pHOBs were isolated from human bone as described before.14 The use of human tissue was approved by the local ethics committee (EthikKommission der Ärztekammer Westfalen-Lippe und der Medizinischen Wilhelms-Universität Münster) and written informed consent was obtained (Az. 2010-155-f-S). Isolated osteoblasts were frozen in liquid nitrogen and were cultivated 3 days in advance of each experiment. Osteoblasts were cultured at a density of 6×104/mL in culture medium consisting of MEM Alpha Modification, FCS, penicillin/streptomycin, L-ascorbit-acid-2-phosphate, b-glycerolphosphate and dexamethasone. Osteoblasts were incubated at 378C and 5% CO2. All experiments were performed with osteoblasts at passage 4 or 5. Preparation, concentrations and use of antibiotics in the infection experiments The selection of the unbound antibiotic concentrations in vitro was guided by the unbound peak concentrations at clinically relevant doses, as these concentrations may be most relevant for rapidly killing antibiotics. The maximal concentrations in human serum were summarized only recently32 and were the basis for the concentrations used in cell culture experiments. Concentrations used for cefuroxime and gentamicin were based on further references:33,34 40 mg/L cefuroxime, 50 mg/L vancomycin, 20 mg/L rifampicin, 10 mg/L moxifloxacin, 30 mg/L flucloxacillin, 20 mg/L linezolid, 60 mg/L daptomycin and 20 mg/L clindamycin. As human serum concentrations of fosfomycin can vary between 250 and 500 mg/L, both concentrations were tested.35,36 Gentamicin was also used at two different concentrations: 20 mg/L, to simulate the human serum concentration, and 140 mg/L, to simulate local concentrations, that can be measured in bone and soft tissue after local application of gentamicin, e.g. in bone cement. Local concentrations of gentamicin were measured to be 7-fold higher than the serum concentration.37,38 The compounds were diluted in lithium water (Merck Millipore catalogue number 11533) in order to keep the correct pH and purity and were then added to culture medium without penicillin/streptomycin. The MICs measured for all antibiotics are described in Table S1. Gentamicin was added only to control cells, at 0.3 mg/L, to prevent overgrowth with bacteria that were released by the infected host cells. Cell culture infection experiments with human osteoblasts To test bacterial susceptibility to antibiotics inside host cells, pHOBs were infected with S. aureus and were treated in the acute or chronic stage of infection with different antibiotics for 48 h. pHOBs were isolated and prepared as described above. pHOBs were infected using invasion medium consisting of culture medium, 1% human serum albumin (HSA) and 10 mM HEPES. Infection with S. aureus 6850 or SH1000 was performed at an moi of 50. To determine the moi required for achieving maximum infection without affecting cell viability, osteoblasts were infected at mois of 10, 20, 30, 40, 50, 60, 70, 80 and 100. At 24, 48, 72 and 96 h after infection, cell viability was monitored by Trypan blue staining (automated cell counter TC-20; Bio-Rad Laboratories) and the proportion of infected cells was 439 Tuchscherr et al. determined by lysing the cells and plating. The best results were obtained at the moi of 50, where between 80% and 90% of the cells were found to be infected, with a cell viability of .80% at the 96 h timepoint. Whereas cell viability was retained at the lower mois, the percentage of infected cells was greatly reduced. In contrast, although .90% of infected cells were obtained at mois of 70 and 80, there was a significant reduction in the number of viable cells. Consequently, an moi of 50 was adopted for our cell culture model (Figure S1B). After invasion for 3 h at 378C and 5% CO2, infected pHOBs were washed with PBS then treated with lysostaphin (20 mg/L) for 30 min to eliminate all adherent or extracellular bacteria. It is known that lysostaphin does not enter host cells.17,39 To analyse the susceptibility of S. aureus to lysostaphin, a protocol to measure the MIC of lysostaphin was performed40 and the MIC was measured as 0.0313 mg/L (Figure S2). After washing with PBS, the infected pHOBs were treated either directly (acute, day 0) or after 7 days (chronic, day 7) with antibiotics. For direct treatments all antibiotics mentioned above were added to the infected host cells for 48 h. For treatment after 7 days culture medium was added to the infected cells and the lysostaphin step and medium exchange were repeated every second day until the start of antibiotic treatment after 7 days. To detect the numbers of surviving bacteria, host cells were lysed with 1 mL of H2O (acute group) or 500 mL of PBS/collagenase type I (Sigma-Aldrich, 1 mg/mL, chronic group) 48 h after antibiotic treatment. Before host cell lysis a lysostaphin treatment was performed as mentioned above to eliminate all extracellular adherent bacteria. Enumeration of cfu was performed by serial dilution of cell lysates and plating on blood agar plates. The relative number of cfu (%) is shown in relation to the corresponding control cells (control group ¼ 100%, cells infected but not treated). Additionally, the percentages of big WTand SCV-like colonies of the intracellular surviving bacteria in the acute and the chronic group were determined by a colony counter (Biocount 5000, BioSys GmbH). All colonies with a diameter ,0.6 mm were considered as SCVs. Due to the slow formation of SCVs, the final values of the amount of SCVs on agar were determined after 72 h of incubation. To test the stability of all antibiotics during our experiment, the cell culture medium was sampled and tested on Mueller–Hinton (MH) plates on days 0 and 2 (acute phase) and on days 7 and 9 (chronic phase). With all compounds tested we found activity after 2 days within cell culture medium (Figure S3), but cefuroxime lost activity during longer incubation periods (Figure S4). In vitro incubation of bacteria with antibiotics To investigate the activity of various antimicrobial compounds (flucloxacillin, cefuroxime, vancomycin, daptomycin, rifampicin, moxifloxacin, linezolid, gentamicin, fosfomycin, clindamycin) in inducing SCV formation, we incubated bacteria without shaking with increasing concentrations of antibiotics. After being prepared in an overnight culture, S. aureus 6850 (OD 0.05, 578 nm) was incubated in medium consisting of 20% MH and 80% PBS in order to get slow bacterial growth over a period of 10 days. The different antibiotics were added to the incubation medium (20% MH+PBS) to obtain increasing MICs (MIC, 2×MIC, 5×MIC). For clindamycin only, 10% serum was added to activate the antibiotic41 and cell culture medium had to be used instead of incubation medium (20% MH +PBS). Bacterial growth in the incubation medium was measured daily by measuring OD (578 nm) and by plating. For daptomycin, measurements were only done by plating due to turbidity of the daptomycin-containing medium. Following CLSI guidelines, fosfomycin was used with addition of 50 mg of glu-6-phosphate per 200 mg of drug.40 Daptomycin was used in vitro in the presence of 1.05 mM CaCl2 (same concentration of CaCl2 as in cell culture medium Gibco DMEM F12). The numbers of SCVs were determined every day from day 1 until day 10 by plating 100 mL of the incubated medium on agar plates. Agar plates were incubated for 24 h before counting and investigating the percentage of SCVs. To test the stability of antibiotic-induced SCVs, 440 the recovered SCVs were subcultured on blood agar daily for 10 days. Cultures were observed daily to detect a switch to the WT phenotype and the percentage of stable SCVs was determined after 10 days. To check the stability of antibiotics, all tested compounds were prepared in 20% MH+PBS at increasing MICs (1×, 10×, 50× and 10×MIC) in the absence of bacteria. Cefuroxime was the only compound for which we detected reduced activity after 10 days (Figure S4). Animal experiments Pathogen-free female C57BL/6 mice aged 10 weeks were obtained from Harlan-Winkelmann (Borchen, Germany). All in vivo experiments were performed according to the guidelines of the European Regulations for Animal Welfare. The animals were maintained in individually ventilated cages and were given food and water ad libitum. All experiments were approved by the North Rhine-Westphalia Agency for Nature, Environment, and Consumer Protection (Landesamt für Natur, Umwelt und Verbraucherschutz Nordrhein-Westfalen-LANUV; permit number 84-02.04.2012.A293). Treatment in the murine haematogenous osteomyelitis model To further investigate the efficiency of antibiotics in vivo, a chronic osteomyelitis model in mice that closely reproduces the features of human osteomyelitis (bacterial persistence in bone tissue, bone deformation and remodelling, formation of sequestra) was developed and used as already described.42 Mice were infected with S. aureus 6850 at a concentration of 1×106 cfu/200 mL via the tail vein. The infected mice were divided into an acute (treatment 5 days post-infection) and a chronic (treatment 5 weeks post-infection) group. In each group treatment was performed for 6 days by subcutaneous daily injection of 100 mL of antibiotics at the following concentrations: 850 mg/L rifampicin; 4300 mg/L cefuroxime; and 600 mg/L gentamicin. The group size for each antibiotic compound tested in the acute and chronic groups was n¼6. MRI monitoring was performed before and after antibiotic treatment in each group. After treatment the mice were sacrificed and the kidneys and bones of the lower extremity of each mouse were homogenized in PBS and plated on blood agar plates in serial dilution to determine the bacterial load in tissues. To analyse whether treatment of the animals resulted in serum concentrations comparable to those known for humans, we treated three uninfected animals per group for 3 days with rifampicin, cefuroxime or gentamicin as described. On day 4 we took blood by cardiac puncture 1 h after application of the antibiotics. The resulting serum concentrations were determined by MS and are given in Table 1. Tandem MS (API 4000, AB Sciex) was performed as previously described with minor modifications.43 – 45 Table 1. Antimicrobial peak levels reached in serum of C57BL/6 mice after subcutaneous treatment with rifampicin, gentamicin or cefuroxime Serum concentrations in C57BL/6 mice 1 h after 4 days of treatment (mg/L) Rifampicin Gentamicin Cefuroxime 25.6+1.96 8.2+3.1 1.54+0.7 C57BL/6 mice were treated subcutaneously with rifampicin, gentamicin or cefuroxime once a day for 3 days. On day 4 whole blood was sampled by cardiac puncture and antibiotic concentrations in the serum samples were measured by MS. The measured values reached levels comparable to peak serum levels reported for humans (rifampicin, 10 mg/L; gentamicin, 10 – 20 mg/L; cefuroxime, 1 – 4 mg/L for oral use and up to 100 mg/L for intravenous use).32 – 34 JAC S. aureus SCVs induce antibiotic resistance (a) (b) 150 Day 0 Day 7 %cfu ± SD 100 50 * * pi ci n Ge nt am ic Ge in nt (2 am 0m ic g/ in L) (1 40 m g/ M L) ox ifl ox ac Va in nc om yc in Li ne zo lid 100 80 60 * * * ** * ** (d) 120 * 6850 SH1000 Clinical isolate #1 Clinical isolate #2 * 100 %cfu ± SD Ri 6850 SH1000 Clinical isolate #1 Clinical isolate #2 (c) 120 20 * * * 40 * * * fa m Co nt ro l * Ce fu ro xi m Fl uc e lo xa ci lli Fo Da n sf p om to m yc yc in Fo in (2 sf om 50 m yc g/ in L) (5 00 m g/ Cl L) in da m yc in * 0 * * * * * * 80 60 * * 40 20 7 e m Ce fu ro xi im e da y da y 0 7 da y Ce fu ro x Co nt ro l da y 7 pi ci n da y Ri fa m Ri fa m pi ci n da y 0 7 da y 0 Co nt ro l da y Co nt ro l 0 0 0 Co nt ro l %cfu ± SD * * Figure 1. Intracellular activity of antibiotics against S. aureus persisting in host cells. (a) pHOBs were infected with S. aureus 6850 and electron micrographs were taken directly after infection. (b) Osteoblasts were infected with S. aureus 6850 followed by treatment with antibiotics for 48 h directly after infection or at day 7 post-infection. The numbers of surviving bacteria were determined by plating and are shown in relation to control (untreated, 100%; 4.36×108+8×106 cfu/mL) cells. Statistical analysis was performed by ANOVA comparing bacterial numbers in untreated control cells with those in treated cells at the two timepoints (n ≥ 3; +SD). *P ≤0.05. (c and d) Treatment of osteoblasts was performed with rifampicin or cefuroxime in cells infected with S. aureus 6850, SH1000 or two different clinical osteomyelitis strains. Statistical analysis was performed with the unpaired t-test comparing bacterial numbers in untreated control cells with those in treated cells at the two timepoints (n ≥3; +SD). *P≤ 0.05. 441 Tuchscherr et al. Statistical analysis Data analysis was performed with GraphPad Prism 5.0 (GraphPad Software). One-way ANOVA was used to compare multiple groups by the Dunnett post test. The unpaired Student’s t-test was used for comparison between any two individual groups. P values of ≤0.05 were considered to be statistically significant. Errors are expressed as the standard deviations of the means. Gentamicin, fosfomycin and clindamycin induced a rapid formation of SCVs inside osteoblasts The intracellular location is known to be a strong stimulus to induce the formation of SCVs.14,28 Accordingly, we detected a high rate of (a) 100 40 (b) 70 60 50 40 30 20 10 0 7 Da y 0 0 * * * * Co nt ro l Ge Ri fa n Ge ta m pi nt m ci am ici n n ic (2 in 0 (1 m g M 40 m /L) ox g Va iflox /L) nc ac om in Li yc ne in zo lid Ce f u Fl ro Fo uc x sf l im Fo om Da oxa e sf yc p cil om in to lin yc (25 my in 0 cin (5 mg 0 Cl 0 m /L) in g da /L m ) yc in Some antibiotics lost activity against persisting bacteria inside osteoblasts; only rifampicin almost cleared infected host cells 442 60 20 Results In recent decades S. aureus has been increasingly recognized as a facultative intracellular pathogen, as the bacteria can invade different types of host cells, including osteoblasts, and persist within cells24,46 (Figure 1a). To find out how antibiotics act on bacteria that persist within the intracellular milieu, we infected cultured human osteoblasts with S. aureus 6850 and treated the infected host cells directly (acute stage, 0 days) or 7 days (chronic stage) post-infection (Figure 1b and Table S2). The viability of the cells was checked every day (Figure S1B). We did not observe that the intracellular bacteria grew over time (Figure S1A). By treating host cells we found that rifampicin, gentamicin, moxifloxacin, linezolid and vancomycin were efficient in reducing intracellular loads of bacteria in the acute as well as in the chronic stage, whereas the other compounds (daptomycin, fosfomycin, cefuroxime, flucloxacillin and clindamycin) lost their effect on persisting bacteria. Here, treatment after 7 days of persistence did not reduce the number of intracellular bacteria within host cells compared with untreated but infected control cells. To exclude loss of activity of antibiotics during osteoblast treatment, the cell culture medium with each antibiotic was analysed at 0, 2, 7 and 9 days after infection. In all cases, the drugs did not * 80 Da y Therapeutic treatment in the acute and chronic phases of S. aureus-induced osteomyelitis was followed up by in vivo MRI. Within this frame baseline scans were performed on day 5 and 5 weeks after bacterial administration and were compared with the results obtained after 5 days of antibiotic treatment, measured on day 11 and 6 weeks post-infection. Four groups of mice (n¼11) were investigated and were either treated with rifampicin, gentamicin or cefuroxime or were used as controls without any treatment. For comparison, additional scans were performed on healthy mice (n¼4). Images were acquired at 9.4 T on a Bruker BioSpec 94/20 (Ettlingen, Germany) equipped with a 0.7 T/m gradient system. Lesions and structures of bones were imaged by a 3D FLASH sequence using the following parameters: matrix size, 512×256×102; field of view, 4.5×2.5×2.0 cm3; echo time (TE), 3.1 ms; repetition time (TR), 20.0 ms; flip angle (FA), 108. During MRI measurements, animals were anaesthetized with 2% isoflurane and were monitored for core body temperature and respiration rate using an MRI-compatible monitoring system (SA Instruments, Stony Brook, NY, USA). To reduce motion artefacts, scans were acquired with respiratory triggering. In MRI images inflamed regions and tibia volume were segmented using Amira software tools (version 5.4.0) for volumetric data analysis. %SCVs ± SD MRI and reconstruction and quantification of the inflammatory focus in murine bone tissue show loss of activity (Figure S3). To exclude a strain-dependent effect of rifampicin, we performed analogous experiments using the S. aureus strain SH1000 (laboratory strain) and two clinical osteomyelitis isolates. Here, we also obtained nearly complete bacterial clearance following rifampicin treatment (Figure 1c), whereas for cefuroxime we detected a lack of activity on intracellular persisting bacteria (Figure 1d). %SCVs ± SD HPLC separation was performed using a Luna Phenyl-Hexyl column (Phenomenex, Germany). Multiple Reaction Monitoring (MRM) transition has been optimized for each antibiotic drug for the API 4000. (c) SCV WT Figure 2. Appearance of SCVs in infected osteoblasts following treatment with antibiotics. After infection and treatment of the pHOBs (see Figure 1) the percentages of big and small colonies of intracellular surviving bacteria were determined by plating. (a) The percentage of SCVs was determined directly or after 7 days of intracellular persistence in primary osteoblasts without treatment (control). *P ≤ 0.05 (unpaired t-test). (b) The percentage of SCVs was determined after infection and direct treatment with the different antibiotics for 48 h (n ¼ 3; +SD). *P ≤ 0.05 [ANOVA comparing the percentages of SCVs in treated cells with those in untreated control cells (where the osteoblasts were infected but not treated with antibiotic)]. (c) Photograph of recovered phenotypes after plating and incubating (24 h) cell lysates from infected osteoblasts without treatment after 7 days. JAC S. aureus SCVs induce antibiotic resistance SCVs in vitro non-inducers Cefuroxime 3 × 108 0.8 Control 2 × 108 MIC 0.6 2 × 108 2 × MIC 0.4 5 × MIC 1 × 108 0.2 5 × 107 0.0 0 0 3 6 9 12 Time (days) cfu/mL (b) SCVs in vitro inducers Gentamicin Moxifloxacin IC 5M IC cfu/mL 1 × 108 5 × 107 * 0 3 6 9 12 Time (days) * Co nt ro l M IC 2× M I 5× C M IC OD578 5× 0 3 6 9 12 Time (days) Fosfomycin OD578 0.6 Control MIC 2 × MIC 5 × MIC 0.4 0.2 0.0 0 3 6 9 12 Time (days) %SCVs (c) 120 100 80 60 40 20 0 * * * * cfu/mL 4 × 106 3 × 106 2 × 106 1 × 106 0 * * * Control MIC 2 × MIC 5 × MIC ** C Ge ont nt ro am l M ic ox in ifl ox ac Va in nc om yc in Li ne Ce zoli d fu ro xi Fl m uc e lo xa Da ci pt llin om yc Fo in sf om yc Cl in da in m yc in Figure 3. Ability of various antimicrobial compounds to induce the development of SCVs after long-term incubation. (a and b) S. aureus 6850 was incubated in 20% MH medium and 80% PBS, which allowed slow bacterial growth over the time period of 10 days. The different antibiotic compounds were added to the incubation medium at increasing MICs (MIC, 2×MIC, 5×MIC). For daptomycin the OD could not be determined due to the turbidity of the daptomycin-containing medium and for clindamycin 10% serum had to be added to the medium to induce activity of the antimicrobial compound. Daptomycin was tested in vitro with 1.05 mM CaCl2 (same concentration as in the cell culture medium in which we observed high activity). According to the recommendations of CLSI fosfomycin was used with 50 mg of glu-6-phosphate per 200 mg of drug. Bacterial growth in the incubation medium was measured daily by determining OD578 (n¼5; +SD) and by plating and counting the cell lysates after 10 days. (c) The rates of SCV formation were determined on day 10 by plating 100 mL of medium on agar plates and counting the percentage of SCVs after 72 h of incubation. Statistical analysis was performed with the absolute numbers, using ANOVA. *P≤ 0.05. (d) Photographs of recovered phenotypes after plating and incubating bacteria treated with gentamicin, moxifloxacin and clindamycin for 1 day or 10 days. 3 × 108 2 × 108 2 × 108 1 × 108 5 × 107 0 Co nt ro l M IC 2× M I 5× C M IC 5× M IC IC Control MIC 2 × MIC 5 × MIC Co nt ro l M IC 2× M I 5× C M IC * * 1.0 0.8 0.6 0.4 0.2 0.0 cfu/mL OD578 * M 12 2× 3 6 9 Time (days) IC 0 M 0.0 2 × 108 2 × 108 1 × 108 5 × 107 0 Co nt ro l 0.8 0.4 3 × 108 cfu/mL OD578 Control MIC 2 × MIC 5 × MIC 1.2 0 2 × 108 Linezolid Clindamycin 1.6 Control MIC 2 × MIC 5 × MIC M IC * 0.8 0.6 0.4 0.2 0.0 IC * 0 12 M 3 6 9 Time (days) 2× 0 5 × 107 IC 0.0 1 × 108 M 0.4 2 × 108 Co nt ro l 0.8 * Flucloxacillin Control MIC 2 × MIC 5 × MIC cfu/mL OD578 1.2 * * M Co nt ro l IC IC M M 5× 12 * cfu/mL * 2× 3 6 9 Time (days) 1 × 108 8 × 107 6 × 107 4 × 107 2 × 107 0 5 × 108 4 × 108 3 × 108 2 × 108 1 × 108 0 0 l 0 5 × 107 IC 0.0 3 6 9 12 Time (days) Daptomycin 1 × 108 Co nt ro 0.4 0 2 × 108 M Control MIC 2 × MIC 5 × MIC cfu/mL OD578 0.8 Control MIC 2 × MIC 5 × MIC Co nt ro l M IC 2× M I 5× C M IC 1.2 1.0 0.8 0.6 0.4 0.2 0.0 cfu/mL To analyse the direct effect of the different antibiotics on SCV formation, we performed in vitro incubation experiments in dilutions of MH OD578 Vancomycin Low concentrations of gentamicin, moxifloxacin and clindamycin induced SCV formation in vitro (a) * Co nt ro l M IC 2× M I 5× C M IC OD578 SCVs after 7 days of intracellular persistence that had developed in untreated host cells (Figure 2a). In the treatment experiments described in Figure 1 we obtained indications that some antibiotics can further enhance the rapid formation of SCVs in the first 2 days after infection (Figure 2b). This phenomenon is well known for gentamicin.28 In our cell culture experiments we observed an increased rate of SCVs after 48 h of treatment with gentamicin, fosfomycin (500 mg/L) or clindamycin (Figure 2b and c). Figure 3. Continued. 443 Tuchscherr et al. (d) Day 1 Day 10 Gentamicin Moxifloxacin Clindamycin +10% serum Figure 3. Continued. medium. Firstly, we identified a nutrition-poor medium (20% MH in PBS) in which the bacteria slowly grew to the stationary phase for up to 10 days (Figure 3a and b). Then, we performed experiments in this medium by adding antibiotics at increasing concentrations (MIC, 2×MIC, 5×MIC) and obtained a concentration-dependent killing effect by measuring the OD and the bacterial counts daily (Figure 3a and b). Under these conditions, rifampicin induced a resistant population after 24 h of incubation, which rendered this compound ineffective (Figure S5). To exclude a lack of killing effect due to non-stability of the drugs used, all the antibiotics were incubated for up to 10 days in 20% MH medium (Figure S4). Almost all antibiotics showed equal activity at the beginning and after 10 days of incubation, except cefuroxime, which lost activity after 10 days of incubation. We determined the rates of SCV formation after 1 day and 10 days (Figure 3c and d). We found that gentamicin, moxifloxacin and clindamycin already induced the formation of some SCVs after 1 day of incubation, but strongly enhanced SCV formation after 10 days compared with control bacteria incubated without antibiotics. The other antibiotics tested did not induce the development of SCVs in vitro (Figure 3c). The formation mechanism of SCVs is only marginally understood and most likely multifactorial. Our recently developed longterm infection models revealed that dynamic SCVs develop during any chronic infection course and can rapidly revert to the fully aggressive WT phenotype when subcultured in rich medium.14,15,42 To test whether gentamicin, moxifloxacin and clindamycin induce stable or dynamic SCVs, we subcultured the obtained SCVs (Figure 3c and d) on blood agar plates daily for 10 days. Even after 10 days we still found high rates of SCVs, ranging from 40% (for gentamicin-induced SCVs) to 80% (for moxifloxacin-induced SCVs). Only the clindamycin-induced SCVs were less stable and all of them rapidly reverted to the WT phenotype upon subculturing. Furthermore, all the SCVs analysed did not show auxotrophism for menadione, haemin or thymidine.8 In a chronic haematogenous murine osteomyelitis model all tested antibiotics did not reduce the bacterial load in the chronic stage Finally, we aimed to verify the findings of the in vitro experiments in vivo. For this, we performed antimicrobial treatments in a haematogenous osteomyelitis model in mice. We chose three 444 representative antibiotics according to our results from the in vitro tests: rifampicin, which was the only compound to almost clear the infected host cells; gentamicin, which acts on intracellular persisting bacteria, but is also a strong SCV inducer; and cefuroxime, which lost activity against intracellular persisting bacteria, but had no activity on SCV development. One group of infected mice was treated in the acute stage of the disease (5 days postinfection) and another group was treated when the bone infection had developed to chronicity (5 weeks post-infection). The antimicrobial compounds were injected once daily subcutaneously for 5 days. The measured levels of all antibiotics reached concentrations that were comparable to those published for treated patients (Table 1). The efficacy of treatment was evaluated by plating bone tissue and counting the bacterial loads (Figure 4a) and by quantifying bone thickness and inflammatory regions in chronically infected bones by MRI (Figure 4c and Table 2). Only rifampicin reduced the bacterial load in the acute stage compared with untreated animals. As in the in vitro experiments, gentamicin induced a high rate of SCV development (Figure 4b). In the chronic stage of infection many bones had tremendously increased in volume due to continuous inflammation, which was quantified by MRI measurements (Table 2). Our analysis revealed that none of the tested antibiotics, not even rifampicin, had a beneficial effect on the bacterial loads or disease development in the chronic stage (Figure 4a and Table 2). However, in the chronic stage we obtained a high rate of SCV formation, which was indicative of bacterial adaptation (Figure 4b). Discussion Osteomyelitis caused by S. aureus is a severe clinical problem, as it frequently develops a chronic and therapy-refractory course despite antimicrobial treatments. Although the involved pathogens have been tested to be susceptible to antibiotics in vitro, they can nevertheless persist in host tissue and cause a relapsing infection.1,5 From clinical studies it is well known that chronic infections are associated with the bacterial SCV phenotype.8,47 Subsequently, stable SCVs have been tested for their susceptibility to different antibiotics.10 Cell culture models provide additional information on the intracellular activity of compounds and have shown bactericidal effects for most antibiotics (except for vancomycin and daptomycin) directly after infection when used at tissue concentrations.48 In general, JAC S. aureus SCVs induce antibiotic resistance Chronic (a) Acute * 8 8 Log cfu/mL ± SD 6 4 2 0 2 0 Day 5 Before treatment n Ce fu ro xi m e Ge nt am ic in ci Ri Rifampicin Day 11 pi ci n Ce fu ro xi m e Ge nt am ic in Ri Co nt ro l Chronic 70 60 50 40 30 20 10 0 pi %SCVs im e Ge nt am ic in Ce fu ro x n ci pi fa m Ri Co nt ro l %SCVs * Control fa m Co nt ro l ci n Ce fu ro xi m e Ge nt am ic in pi fa m Ri (b) Acute 70 60 50 40 30 20 10 0 (c) 4 –2 Co nt ro l –2 6 fa m Log cfu/mL ± SD 10 Gentamicin After treatment Before treatment Cefuroxime After treatment Before treatment After treatment Acute Chronic Figure 4. Treatment of a haematogenous osteomyelitis model in mice with rifampicin, gentamicin and cefuroxime. C57BL/6 mice were infected via the tail vein with S. aureus 6850 and subsequently developed osteomyelitis in the acute (after 5 days) and chronic (after 5 weeks) stages. Treatment with rifampicin, gentamicin or cefuroxime was performed subcutaneously every 24 h for 5 days. (a) The bacterial loads within the tibiae were analysed after treatments in the acute and chronic stages of infection by plating host tissue and counting the numbers of recovered colonies. n ¼10–12 mice; +SD. Statistical analysis was performed with ANOVA comparing the bacterial load in tibiae of treated animals with that of untreated animals. *P≤ 0.05. (b) The percentage of SCVs among the recovered colonies was evaluated for each antibiotic in the acute and chronic stages of the infection. n ¼10–12 mice; +SD. Statistical analysis was performed with ANOVA comparing the rate of SCVs in tibiae of treated animals with that of untreated animals. *P≤ 0.05. (c) Sequential MRI showing the progression of osteomyelitis in the tibiae during the acute and chronic phases with and without therapeutic treatment with rifampicin, gentamicin or cefuroxime. The images show representative three-dimensional reconstructions of the tibiae and inflammatory lesions after segmentation of MRI images. Inflammatory lesions are coloured red and brown (right) or orange and yellow (left) according to the inflammatory depth in the bones. Non-inflamed area (area of bone without signs of inflammation) of the left leg is shown in magenta and the non-inflamed area of the right leg is shown in green. 445 Tuchscherr et al. Table 2. Calculation of the volume of inflammatory lesions in tibiae of chronically infected treated and untreated animals Control before infectiona Chronic infection without treatment at week 5b Chronic infection without treatment at week 6b Chronic infection after rifampicin treatment at week 6b Chronic infection after gentamicin treatment at week 6b Chronic infection after cefuroxime treatment at week 6b Inflammatory volume (mm3) Total bone volume (mm3) 0 20+21 19+18 19+17 22+13 16+13 26+1 84+58 84+52 77+48 103+99 67+29 a n ¼4. n ¼11. b almost all antibiotics exhibit higher activity against normal than against SCV phenotypes.11 Furthermore, some animal models have been developed to investigate the persistence of SCVs and their resistance to antibiotics. All these results are summarized in a recently published review10 and suggest that SCVs can better spread and persist within the body and are more tolerant to antimicrobial treatments. The described studies have been mainly performed with stable, well-characterized mutants that have defects in the electron transport system (e.g. hemB mutants). However, recent work indicates that clinical SCVs are a very heterogeneous population that is more complex than defined electron transport chain-interrupting mutants.13 Little is known about the formation mechanisms of SCVs. SCVs can appear constitutively during bacterial replication16 and/or the development of SCVs can be induced by various stress conditions, such as the intracellular milieu or selective antibiotic pressure.17,18 By using different long-term infection models we demonstrated that SCVs always and continuously appear during chronic infection courses in a very dynamic manner that allows rapid reversion to the WT phenotype.14 This dynamic switching mechanism, which is mediated by regulatory processes rather than by gene mutations,14,49 is most likely an early bacterial adaptation process that takes place in any kind of infection and paves the way for long-term bacterial persistence. In our work, we investigated the influence of this dynamic switching mechanism on antibiotic tolerance/resistance. We used complex in vitro and in vivo infection models that closely mimic the human situation and force the bacteria to adapt to their host.14,42 As these early bacterial adaptation mechanisms are highly reversible, all antibiotic resistance tests had to be performed within the models to avoid a bacterial subculturing step. In the long-term cell culture infection models we found that some antimicrobial compounds (b-lactams, daptomycin, fosfomycin and clindamycin) lost activity against chronically infecting bacteria. b-Lactams, daptomycin and fosfomycin are cell-wall-active antibiotics. These compounds are highly effective bactericidal antibiotics against fast-growing bacteria, but apparently rapidly lose activity when the bacteria slow their growth rate, which could limit their efficacy during chronic infections and against SCVs (adaptive antibiotic resistance).50 Additionally, clindamycin, which inhibits protein biosynthesis, lost activity against persisting bacteria, which can be explained by a reduced metabolism in persisting bacteria and the bacteriostatic mode of action. By contrast, other protein biosynthesis inhibitors (gentamicin and rifampicin) were still active against persisting bacteria; this might be due to 446 their bactericidal effect, which is apparently still effective in SCVs. The bactericidal and/or bacteriolytic effects of moxifloxacin and vancomycin also resulted in high activity against persisting bacteria at the serum concentrations tested. In our study, we further included a haematogenous osteomyelitis model that develops to chronicity and closely mimics human infection.42 The subcutaneous application of defined antibiotics (rifampicin, gentamicin, cefuroxime) for 5 days resulted in serum levels that were similar to the concentrations reached in humans. To evaluate the success of treatment we determined the bacterial load in the bones and applied MRI to quantify the areas of inflammation and bone deformation in the chronic stage. In the acute phase of infection we detected a significant reduction in bacteria after treatment with rifampicin, whereas during chronic infection none of the tested antibiotics exhibited a beneficial effect. Consequently, our data reveal that bacterial resistance during chronic tissue infection is much more complex than is reflected by cell culture experiments. In the in vivo situation additional mechanisms must be considered, as the host tissue is altered by destructive and remodelling processes, including the formation of dead bone fragments and newly built woven bone.1,42,51 Particularly in poorly or non-perfused tissue areas, effective concentrations of antibiotics are most likely not reached, leaving bacterial reservoirs within the host tissue.52 Additionally, our results demonstrate that low concentrations of some antibiotics even promote SCV formation and could support the development of a chronic infection course. An SCV-promoting/-selecting activity has already been observed for gentamicin and for antifolate agents. 10,28 – 30 Our systematic in vitro analysis revealed that further compounds—moxifloxacin and clindamycin—induce SCVs with increased stability. This phenomenon has not been described before. Consequently, the application of these compounds for chronic infections should be investigated in appropriate models and in clinical studies to exclude the possibility that they promote SCV formation and bacterial persistence in host tissue. Although gentamicin was effective in diminishing the bacterial load of infected host cells, it failed to have a beneficial effect in the acute and chronic stages of the haematogenous osteomyelitis model in mice. As described before, we identified gentamicin as a strong SCV inducer.18,28 Not only in the in vitro systems but also in the in vivo model we recovered a high percentage of SCVs at an early stage of infection and treatment. Particularly in the in vivo model, rapidly formed SCVs apparently help the bacteria to survive within the host in high numbers. The SCV-inducing activity JAC S. aureus SCVs induce antibiotic resistance of gentamicin must be considered, as this compound is frequently used locally, e.g. as a coating for implants or antibiotic-loaded cement.53 For local uses, gentamicin is applied at higher doses to archive a bactericidal effect,37,38 but within host cells or in the surrounding tissue it must be suspected that much lower doses could exert SCV-promoting activity. Rifampicin was the only compound to completely clear infected host cells in the acute and chronic stages of infection, even when different strains were tested. For rifampicin a high intracellular accumulation has been described,32 but pharmacodynamic studies revealed that the intracellular activities are independent of the level of drug accumulation.27,32 Although rifampicin failed to demonstrate significant intracellular bactericidal effects in an infection model of macrophages,32 it was the most effective antimicrobial compound in our osteoblast cell culture system. The high antimicrobial activity of rifampicin in bone cells is in line with the successful treatment of our haematogenous osteomyelitis model in the acute stage and with many clinical studies that encourage the adjuvant use of rifampicin for the treatment of S. aureus bone infections.22,23 Taking the results of this study together, we developed in vitro and in vivo long-term osteomyelitis models to investigate the antimicrobial tolerance/resistance that is associated with pathogenic adaptation mechanisms. The early formation of dynamic SCVs provides increased resistance to antibiotics that interfere with cell wall synthesis or act in a bacteriostatic way. A further problematic phenomenon is that low doses of defined antimicrobial compounds (gentamicin, moxifloxacin and clindamycin) induce the formation of SCVs, which could even promote the development of a chronic infection course. Rifampicin showed the highest activity against intracellular persisting bacteria and was further effective in decreasing the bacterial load in the acute stage of the murine osteomyelitis model. In the chronic stage of the in vivo model, none of the tested antibiotics reduced the bacterial load or degree of inflammation and bone deformation, indicating that many different mechanisms impede the action of the commonly used antibiotics. Acknowledgements We thank B. Schuhen, K. Broschwig and C. Pilz for excellent technical assistance. We thank Dr Adriana Perez for statistical support. Funding This work was supported by DFG grants of the Transregional Collaborative Research Centre 34 (C12), by the Bundesministerium für Bildung und Forschung (BMBF; grant 0315830B) and by the Center for Sepsis Control and Care (CSCC) of the Federal Ministry of Education and Research (BMBF: SKZ01EO1502). Transparency declarations None to declare. References 1 Lew DP, Waldvogel FA. Osteomyelitis. Lancet 2004; 364: 369– 79. 2 Shetty AK, Kumar A. Osteomyelitis in adolescents. Adolesc Med State Art Rev 2007; 18: 79 –94, ix. 3 Trampuz A, Zimmerli W. Diagnosis and treatment of infections associated with fracture-fixation devices. Injury 2006; 37 Suppl 2: S59–66. 4 Berendt AR, Peters EJ, Bakker K et al. Diabetic foot osteomyelitis: a progress report on diagnosis and a systematic review of treatment. Diabetes Metab Res Rev 2008; 24 Suppl 1: S145–61. 5 Sheehy SH, Atkins BA, Bejon P et al. 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