1 1 Sequential Evolution of Vancomycin-Intermediate Resistance ...
Transcript of 1 1 Sequential Evolution of Vancomycin-Intermediate Resistance ...
1
1
Sequential Evolution of Vancomycin-Intermediate Resistance Alters Virulence in 2
Staphylococcus aureus: PK/PD Targets for Vancomycin Exposure 3
4
Authors: Justin R. Lenhard1,2, Tanya Brown1,2, Michael J. Rybak3, Calvin J. Meaney1,2, 5
Nichols B. Norgard1,2,, Zackery P. Bulman1,2, Daniel Brazeau1,2, Steven R. Gill4, Brian T. 6
Tsuji1,2* 7
8
Affiliations: Laboratory for Antimicrobial Pharmacodynamics, School of Pharmacy and 9
Pharmaceutical Sciences1 and the New York State Center of Excellence in Life 10
Sciences and Bioinformatics, Buffalo, NY2, Anti-Infective Research Laboratory, Eugene 11
Applebaum College of Pharmacy and Health Sciences, Detroit, MI, USA3, Department 12
of Microbiology, University of Rochester Medical Center, Rochester, NY, 142264 13
14
*Corresponding Author: Brian T. Tsuji, Pharm.D., University at Buffalo, School of 15
Pharmacy and Pharmaceutical Sciences. Phone: (716) 881-7543 Fax: (716) 849-6890 16
Email: [email protected] 17
18
Running Title: Evolution of Vancomycin Resistance and Virulence 19
Keywords: Evolutionary Dynamics, Staphyolococcus aureus, vancomycin resistance, 20
pharmacodynamics, G. mellonella, accessory gene regulator 21
22
Abstract word count: 243 23
Manuscript word count: 3,345 24
AAC Accepted Manuscript Posted Online 28 December 2015Antimicrob. Agents Chemother. doi:10.1128/AAC.02657-15Copyright © 2015, American Society for Microbiology. All Rights Reserved.
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
2
Abstract: 25
Background: Staphylococcus aureus possesses exceptional virulence and a 26
remarkable ability to adapt in the face of antibiotic therapy. We examined the in vitro 27
evolution of S. aureus in response to escalating vancomycin exposure by evaluating 28
bacterial killing and the progression of resistance. 29
Methods: A hollow fiber infection model was utilized to simulate human doses of 30
vancomycin increasing from 0.5g to 4g q12h vs. a high inoculum (108 CFU/ml) of MRSA 31
USA300 and USA400. Host pathogen interactions using Galleria mellonella and 32
accessory gene regulator (agr) expression were studied in serially obtained isolates. 33
Results: In both USA300 and USA400 MRSA isolates, vancomycin exposure up to 2g 34
q12h resulted in persistence and regrowth, whereas 4g q12h achieved sustained killing 35
against both strains. As vancomycin exposure increased from 0.5g to 2g q12h, the 36
bacterial population shifted toward vancomycin-intermediate resistance, and collateral 37
increases in the MICS of daptomycin and televancin were observed over 10 days. 38
Guideline recommended exposure of an fAUC/MIC of 200 displayed a 0.344 log 39
bacterial reduction in area, whereas fAUC/MICs of 371 and 554 were needed to achieve 40
a 1.00 and 2.00 log reduction in area, respectively. The step wise increase in 41
resistance paralleled a decrease in G. mellonella mortality (p=0.021) and a gradual 42
decline of RNAIII expression over 10 days. 43
Conclusions: Currently recommended doses of vancomycin resulted in amplification 44
of resistance and collateral damage to other antibiotics. Decreases in agr expression 45
and virulence during therapy may be an adaptive mechanism of S. aureus persistence. 46
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
3
Introduction 47
Staphylococcus aureus is a primary human pathogen capable of exceptional virulence 48
and an array of life threatening infections ranging from necrotizing pneumonia to 49
endocarditis(1). S. aureus also has a remarkable ability to adapt in the face of 50
antimicrobial therapy via a plethora of resistance mechanisms(2-6). Although there is a 51
large body of information on the mechanisms of antibiotic resistance in S. aureus, the 52
interplay between virulence and antibiotic resistance is not completely understood. The 53
results of genome wide sequencing analyses have been confounded by the discovery 54
that multiple genetic pathways may lead to similar levels of antibiotic resistance(7-9) 55
Also, while the sequential development of resistance mutations during the course of an 56
infection has been analyzed, the temporal link between resistance and virulence is 57
poorly defined(10). 58
59
Despite the successful use of vancomycin to combat community-associated (CA) MRSA 60
for several decades, the spread of vancomycin intermediate-resistance (VISA) has 61
brought the utility of vancomycin into question(4, 11). The genetic basis for VISA is 62
unknown, although reduced vancomycin susceptibility has been associated with 63
dysfunction of the accessory gene regulator (agr), the master regulator of pathogenicity 64
in S. aureus(12-14). Isolates of S. aureus that are defective in agr have significantly 65
reduced virulence profiles and low level vancomycin resistance conferred through a 66
number of mechanisms including biofilm formation, stationary phase growth, and 67
alterations in autolysis(15-17). At present, it is not known how modulating vancomycin 68
dosing regimens will alter the timescale of agr expression or S. aureus virulence. Here, 69
we attempted to resolve the link between vancomycin resistance and virulence by 70
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
4
simulating human dosing in an in vitro hollow fiber infection model (HFIM) to study the 71
step wise evolution of vancomycin resistance, and also determine the impact that these 72
mutations have on virulence. 73
74
MATERIALS AND METHODS 75
Bacterial isolates 76
To represent the predominant clones of MRSA in the United States, Europe, and 77
Canada, we selected the two pulsed field gel electrophoresis–type community acquired 78
strains USA300 (FPR 3757) and USA400 (MW2), of which the complete genome 79
sequences have been established(18-20). Both isolates were obtained from the 80
network of antimicrobial resistance in Staphylococcus (NARSA). 81
82
Antibiotics and medium 83
Vancomycin, ciprofloxacin, levofloxacin, gentamicin, nafcillin, and rifampicin analytical 84
grade powders were commercially purchased (Sigma Chemical Company, St. Louis, 85
Missouri). Daptomycin was obtained from Cubist (Lexington, MA), telavancin was 86
obtained commercially from the University at Buffalo Pharmacy, and linezolid was 87
obtained from Pfizer (Groton, CT). Brain Heart Infusion (BHI) broth and BHI agar 88
(Difco Laboratories, Detroit, Michigan) were used for all in vitro hollow experiments. 89
90
Determining alterations in MIC 91
Antimicrobial agents commonly used to treat MRSA were tested with CLSI broth 92
microdilution methods to evaluate the potential collateral damage of vancomycin on 93
other antibiotics. Isolates were initially evaluated for MICs at baseline prior to 94
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
5
vancomycin exposure. Selective post-exposure mutants obtained from the HFIM were 95
also evaluated for MICs. Mueller–Hinton broth adjusted to contain physiological levels 96
of calcium (50 mg/L) was used as test medium. CLSI interpretive criteria were used to 97
categorize the isolates as susceptible, intermediate, or resistant. S. aureus ATCC 98
29213 was utilized as quality control (QC) organisms. All QC results were within 99
published limits. 100
101
Hollow Fiber Infection Model. As previously described, a HFIM was used to evaluate 102
how clinically relevant vancomycin regimens alter the bacterial burden of MRSA and 103
influence the amplification of antibiotic resistance over 240h(21). The HFIM employed a 104
cellulosic cartridge C3008 (FiberCell Systems, Frederick, MD, USA). Bacteria were 105
trapped in the extracapillary space of the cartridge and the large surface area from the 106
hollow fibers was used to facilitate nutrient exchange and antibiotic exposure. Each 107
vancomycin dosing regimen was administered in a manner to achieve the same AUC 108
over 10 days as would be expected in humans. The clinical scenario of a high bacterial 109
burden infection such as a bi-lobar pneumonia or endocarditis was simulated using a 110
108CFU/ml inoculum achieved from overnight MRSA cultures. Samples were taken from 111
the 10 day HFIM experiment at 0, 24, 48, 72, 96, 120, 144, 168, 192, 216, and 240h 112
and subsequently incubated and quantified to assess bacterial growth. 113
114
To simulate human antibiotic dosing, four different vancomycin regimens were 115
administered in the HFIM assuming a free (ƒ) fraction of 50% and a 6 hour half-life. The 116
following dosing schemes were chosen to target the pharmacokinetic parameters of 117
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
6
maximal concentration (Cmax), minimum concentration (Cmin), and an area under the 118
curve to MIC ratio (AUC:MIC) expected in human plasma. 119
500mg q12h (ƒCmax of 10 mg/L, ƒCmin of 2.5mg/L, and ƒAUC:MIC of 112.5) 120
1000mg q12h (ƒCmax of 20 mg/L, ƒCmin of 5mg/L, and ƒAUC:MIC of 225) 121
2000mg q12h (ƒCmax of 40 mg/L, ƒCmin of 10mg/L, and ƒAUC:MIC of 450) 122
4000mg q12h (ƒCmax of 80 mg/L, ƒCmin of 20mg/L, and ƒAUC:MIC of 900) 123
124
Samples from the HFIM were also obtained serially for confirmation of vancomycin 125
pharmacokinetics using a standard agar diffusion bioassay procedure. MHA with 126
Micrococcus luteus ATCC 9341 as an indicator organism was utilized to validate 127
vancomycin concentrations as previously described. All observed pharmacokinetic 128
parameters were within 12% of targeted values. 129
130
Population Analysis Profiles 131
Quantitative cultures from the Hollow Fiber Infection Model were determined ‘real time’ 132
in mini-population analysis profiles (PAPs) that utilized BHI agar containing 0, 2, 4, and 133
6 mg/L of vancomycin, which enabled the daily detection of the total bacterial population 134
as well as vancomycin resistant subpopulations in all 4 dosing regimens. Full PAPs 135
were also completed using 0, 0.5, 1, 2, 3, 4, 6, 8, and 16 mg/L of vancomycin to quantify 136
daily evolution of the resistant subpopulations in the 2g q12h regimen, as well as the 137
240h time point of all 4 dosing regimens. PAPs cultures were incubated for 48h, and 138
the colonies were then counted and plotted against either vancomycin concentration or 139
time. 140
141
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
7
RNA Extraction and Quantitative Real Time PCR 142
Cells were collected at 240h from the hollow fiber infection model for MRSA USA300 143
before and after exposure to the four vancomycin regimens. RNAIII expression was 144
then assessed with real-time PCR as described previously.(22) Briefly, the collected 145
samples were centrifuged at 14,000rpm for 5 minutes at room temperature. The 146
supernatant was aspirated and the pellet was immediately frozen at -80ºC until RNA 147
isolation. Total RNA was isolated from the pellet (SV Total RNA Isolation System, 148
Promega, Madison WI) following the manufacturer’s protocol for gram positive bacteria. 149
From the total RNA pool, messenger RNA (mRNA) was purified (MICROBExpress, 150
Ambion, Austin TX). Reverse transcription of the mRNA (315ng) was carried out using 151
random hexamer primers and the AccuScript High Fidelity RT-PCR System (Stratagene, 152
La Jolla CA). 153
154
G. mellonella Virulence assays 155
G. mellonella was utilized to investigate the pathogenicity of resistant mutants which 156
evolved in the HFIM as detailed previously(23, 24). In the 10 day HFIM utilizing a 157
vancomycin dose of 2g q12h, USA300 mutants were collected daily and stored at -80°C 158
prior to the virulence assessment. Twenty randomly chosen caterpillars 200–300 mg in 159
weight in the final instar larval stage (Vanderhorst, Inc., St. Mary’s, OH) were used in 160
each group. A 10-µL Hamilton syringe was used to inject 10-µL aliquots of the inoculum 161
into the hemocoel of each caterpillar via the last left proleg. Bacterial colony counts 162
were used to confirm all inocula, and appropriate control arms with caterpillars receiving 163
no injection or an injection of phosphate buffered saline were included. 164
165
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
8
RESULTS 166
MRSA USA 300 and USA 400 HFIMs 167
To study the temporal profile of MRSA USA 300’s response to increasing antibiotic 168
exposure, a HFIM was utilized to simulate human vancomcyin dosing over a 10 day 169
period (Figure 1). Despite high doses of up to 2g q12h, mimicking exposure profiles in 170
administered humans, USA300 demonstrated persistence and tolerance, maintaining 171
bacterial counts >1010 CFU/ml with growth similar to control by the 240h endpoint. The 172
lower dose vancomycin regimen of 500mg q12h was nearly identical to control 173
throughout the 240h. The 1g q12h scheme, which is the regimen administered to the 174
majority of patients with S. aureus bloodstream infections, demonstrated initial stasis at 175
~5x107 CFU/ml for approximately 24h, followed by gradual regrowth that plateaued at 176
~3.5x1010 CFU/ml by 120h. Similarly, the 2g q12h regimen demonstrated step wise 177
increases in bacterial counts beginning with an initial stasis phase from 0 to 48h at ~108 178
CFU/ml, a regrowth phase from 48h to 96h at ~109 CFU/ml, followed by a final regrowth 179
phase at 144h to ~1010 CFU/ml which continued to 240h. Unlike the lower dose 180
regimens, the 4g q12h scheme achieved a >3 log reduction in bacterial counts by 72h, 181
and after 240h of continuous killing, resulted in a final population of ~3x102 CFU/ml. 182
183
An additional HFIM analysis was conducted on USA 400 to confirm the activity of 184
vancomycin is comparable amongst common CA-MRSA strains (Figure 2). Similar to 185
USA 300, vancomycin doses up to 2g q12h were unable to prevent USA 400 from 186
regrowing by 48h. While the 500mg and 1g q12h regimens mirrored the growth control 187
by 96h, the 2g q12h scheme maintained counts below 1010 CFU/ml for the duration of 188
the experiment. The 4g q12h regimen was once again the only simulated vancomycin 189
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
9
therapy capable of achieving bactericidal activity, with a >3 log reduction conferred by 190
120h and a final population count of ~104 CFU/ml at 240h. Co-modelling the reduction 191
in the Log Ratio Area of both USA 300 and USA 400 as a function of vancomycin 192
exposure confirmed that vancomycin’s performance was similar between the two strains 193
(Figure 3). In both USA 300 and USA 400, fAUC24/MICs of approximately 200, 371, 554, 194
and 757 achieved a reduction in the total population’s Log Ratio Area of 0.344, 1.00, 195
2.00, and 3.00 respectively (R2 = 0.990), as described by a Hill-type function utilized 196
previously (25). 197
198
Sequential Emergence of Antibiotic Resistance 199
Throughout the 10 day HFIM experiments, subpopulations capable of growing on 2, 4, 200
and 6mg/L of vancomycin were tracked for both USA 300 and USA 400 (Figure 1 and 201
Figure 2). In both investigational strains, lower vancomycin doses of 500mg and 1g 202
q12h did not substantially amplify vancomycin resistance, with < 1% of the population 203
ever growing on 2 mg/L of vancomycin. However, when the dose of vancomycin was 204
increased to 2g q12h, ~10% of USA 300’s population and ~50% of USA 400’s total 205
population were capable of growing on 2 mg/L of vancomycin by 240h. Increasing the 206
vancomycin dose even further to 4g q12h resulted in drastic killing of the total bacterial 207
populations, with resistant subpopulations growing on 2 mg/L of vancomycin comprising 208
< 1% of the population for the duration of the experiments. 209
210
A more comprehensive PAP scheme utilizing vancomycin concentrations up to 16 mg/L 211
was also performed for the entire 2g q12h regimen and the 240h terminal time points of 212
all the USA 300 HFIMs (Figure 4). After several days of vancomycin exposure, 213
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
10
subpopulations of USA 300 began to grow on 6 mg/L of vancomycin beginning at 120h. 214
Resistance to vancomycin intensified as the 2g q12h regimen continued, eventually 215
resulting in isolates capable of growing on 8 mg/L of vancomycin by 240h. Comparing 216
the dose response among different regimens, doses of 500mg up to 2g q12h produced 217
similar resistance profiles by 240h, characterized by bacterial growth on 8 mg/L of 218
vancomcyin. In contrast, the 4g q12h regimen prevented the growth of any colonies in 219
the presence of ≥ 4mg/L of vancomycin at 240h. 220
221
In order to track the emergence of resistance to other agents during vancomycin 222
therapy, the MICs of common antibiotics were determined for USA 300 isolates 223
collected every 24h during the 2g q12h HFIM experiment and are presented in Table 1. 224
Secondary to vancomycin exposure, significant alterations in the susceptibility to the 225
lipopeptide daptomycin and lipoglycopeptide telavancin were observed. For daptomycin, 226
sequential increases were noted from 0.125 to 0.25 on Day 4, to 0.5 on day 7, and 227
1.0mg/L on day 10. For telavancin, sequential increases from 1.0 to 2.0 on day 2, and 228
to 4.0mg/L on day 5 occurred. There was also a consistent trend of decreases in 229
rifampicin susceptibility from 0.015 to 0.03mg/L, albeit only a one fold difference 230
231
G. Mellonella Survival 232
To determine what impact vancomycin resistance has on S. aureus virulence, G. 233
mellonella were inoculated with USA 300 isolates collected daily throughout the 2g q12h 234
regimen (Figure 5 Panel A), and also isolates obtained at the 240h terminal time point of 235
each USA 300 HFIM experiment (Figure 5 Panel B). In the 2g q12h regimen, isolates 236
collected after ≥ 96h of vancomycin exposure displayed attenuated virulence that 237
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
11
paralleled the agr dysfunctional control, with significantly higher G. mellonella survival 238
rates after 6 days compared to the baseline isolate (G. mellonella survival ≥ 80% vs. 239
45% on day 6, p=0.021, Log-Rank Test). Conversely, isolates obtained prior to 96h of 240
vancomycin exposure demonstrated killing that mirrored the profile of the baseline 241
isolate (G. mellonella survival ≤ 60% on day 6). When all 4 vancomycin regimens were 242
compared to one another, doses of 500mg to 2g q12h resulted in significantly better G. 243
mellonella survival by day 6 relative to the baseline isolate (G. mellonella survival ≥ 80% 244
vs. 45% on day 6, p=0.029), whereas the 4g q12h regimen resulted in an isolate with 245
comparable virulence to the baseline isolate (p=0.231). 246
247
RNA III Expression and Co-modelling with Total Counts, Virulence, and 248
Resistance Plots 249
Real time PCR of RNA III was performed on all USA 300 isolates recovered from 0 to 250
240h during the 2g q12h regimen to delineate the temporal pattern of agr expression 251
during antibiotic therapy and its relationship to resistance and virulence in S. aureus 252
(Figure 6, Panel A). The quantity of RNA III initially surged to >10x baseline between 0 253
and 24h, then following a steep decline to almost undetectable amounts of RNAIII at 254
96h, after which agr expression hovered around baseline until 240h. When agr 255
expression was co-modelled with bacterial counts and G. mellonella mortality, a trend 256
was observed in which the initial surge in agr expression coincided with higher levels of 257
G. mellonella mortality (~50%), whereas the low levels of agr expression beginning at 258
96h corresponded to attenuated mortality rates of ≤ 20% (Figure 6, Panel B). The 259
relationship between bacterial counts and agr expression was not as clearly defined in 260
the 2g of vancomycin q12h regimen. However, when agr expression and bacterial 261
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
12
counts were plotted as a function of vancomycin exposure, an inverse relationship was 262
observed in which a fAUC24/MIC of 900 mg*h/L resulted in a bacterial count of ~3x102 263
CFU/ml and agr expression >10x baseline at 240h (Figure 6, Panel C). 264
265
DISCUSSION 266
Although vancomycin was the drug of choice for MRSA infections for several decades, 267
increased treatment failure rates coinciding with the spread of VISA have casted doubt 268
on the reliable use of vancomycin(26-30). As S. aureus MICs continue to creep for 269
vancomycin, understanding how drug exposure influences both resistance and 270
virulence is critical to the judicious use of anti-MRSA agents. Here, we investigated 271
clinically relevant vancomycin regimens in a 10 day HFIM to translate how vancomycin 272
dosing alters MRSA population dynamics and glycopeptide resistance. In both of the 273
investigational CA-MRSA strains, administration of 500mg or 1g of vancomycin q12h 274
was unable to achieve bacteriostatic activity. When the dose of vancomycin was 275
increased to 2g q12h, a regimen yielding twice the drug exposure of the most common 276
vancomycin scheme, bacterial counts still rose steadily in the face of intensified 277
antibiotic dosing. Only the 4g q12h regimen achieved bactericidal activity, with 278
sustained killing over 10 days for both investigational strains. 279
280
Unlike the AUC/MIC target of 400 (fAUC/MIC = 200) advocated by current vancomycin 281
guidelines, higher vanomycin exposures were needed to kill the CA-MRSA strains 282
investigated in the present study.(31) As current guidelines recommend vancomycin 283
use for MRSA infections in which the causative organism’s vancomycin MIC is ≤ 1mg/L, 284
the isolates investigated in the current study are an accurate representation of MRSA 285
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
13
strains commonly treated with vancomycin (MIC = 1mg/L for USA 300 and USA 400). 286
However, the 2g q12h vancomycin regimen produced a fAUC/MIC > 2x the suggested 287
AUC/MIC of 400 (fAUC/MIC of 200) and negligible killing was achieved in both 288
investigational strains. An alarmingly high fAUC/MIC of 554 was necessary to achieve a 289
2 log bacterial reduction in area. Vancomycin regimens commonly used in the clinic 290
may therefore be unable to fully overcome S. aureus resistance mechanisms at high 291
inocula, and alternative regimens may need to be considered even when an organism’s 292
vancomycin MIC is deceptively below 2mg/L. 293
294
Not only were the 500mg to 2g of vancomycin q12h regimens incapable of killing S. 295
aureus, but the suboptimal vancomycin exposure also amplified antibiotic resistance. 296
Similar to other investigations concerning antibiotic resistance, an inverted “U” 297
phenomenon was observed in which rising vancomycin concentrations resulted in 298
higher levels of antibiotic resistance until extreme concentrations were capable of killing 299
the entire population.(32) Vancomycin exposure was also found to augment resistance 300
to other antimicrobials, including daptomycin, telavancin, and rifampin. Taken together, 301
these results emphasize the importance of utilizing optimal vancomycin dosing practices 302
against MRSA that is capable of being killed by vancomycin. If a high enough 303
vancomycin exposure cannot be achieved to confer bactericidal activity, resistance to 304
glycopeptides and other antibiotic classes will increase in a manner that is proportionate 305
to the amount of vancomycin exposure. 306
307
While the amplification of antibiotic resistance in concerning, agr expression and G. 308
mellonella mortality demonstrated that the ability of S. aureus to resist glycopeptide 309
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
14
treatment appears to come at a cost to its virulence. Lower vancomycin dosing 310
schemes of 500mg to 2g q12h resulted in reduced agr activity and a higher survival rate 311
of the G. mellonella, whereas the bactericidal 4g q12h regimen suppressed vancomycin 312
resistance and correspondingly did not significantly alter the survival rate of G. 313
mellonella. Although the emergence of vancomycin resistance appears to be a 314
heterogenous process, two observations commonly made upon rising vancomycin MICs 315
are thicker cell walls and dysfunctional agr profiles.(4, 16, 33, 34) It has been proposed 316
that alterations in the cell wall of S. aureus may interfere with the cell’s ability to bind the 317
auto-inducing peptide of the agr system used for quorum sensing and activation of S. 318
aureus’ toxins and other virulence factors.(35) It is likely that suboptimal vancomycin 319
dosing in the clinic will drive MRSA from a more antibiotic susceptible and virulent state 320
towards a more resistant but less virulent population. 321
322
Another consequence of vancomycin exposure is the potential conversion of S. aureus 323
from a virulent phenotype into a persistent state better adapted to survive antimicrobial 324
therapy and the host immune response. In the present study, the survival of G. 325
mellonella improved as the expression of agr decreased, suggesting that the reduction 326
in virulence factor release reduced the pathogenicity of S. aureus. A prior investigation 327
that compared S. aureus isolates collected from a patient before and after 6 weeks of 328
vancomycin treatment found that vancomycin exposure resulted in downregulated agr, 329
slower autolysis, increased cell wall thickness, and a reduction in the secretion of α-330
toxin and phenol soluble modulins(36). It has been established that α-toxin release 331
activates the NLRP3-inflammasome and induces interleukin-1 and interleukin-6 332
secretion, while the VISA phenotype has been shown to provoke less tumor necrosis 333
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
15
factor-α and interleukin release than its vancomycin-susceptible counterparts(9, 37, 38). 334
An investigation of the selective pressure of vancomycin on MRSA also found that 335
vancomycin exposure amplifies the relative abundance of the small colony variant 336
phenotype, which is a slow growing phenotype implicated in chronic and recurrent S. 337
aureus infections as well as intracellular persistence(25, 39). The consequence of 338
suboptimal vancomycin exposure is therefore not restricted to proliferating antibiotic 339
resistance, but also shifting the population dynamics of S. aureus toward a persistent 340
state that is capable of enduring host countermeasures and exogenous antimicrobials. 341
342
The current study has several meaningful limitations to consider before the results can 343
be fully translated into the clinical setting. Similar to other in vitro investigations, not only 344
does the HFIM fail to account for host defenses against S. aureus, but the use of 345
Mueller-Hinton broth provides a nutrient-rich environment that may improve bacterial 346
survival relative to in vivo experiments. Most importantly, the poor performance of 347
standard vancomycin regimens is likely ascribed to the high inoculum investigated in the 348
present study. A previous in vitro investigation not only demonstrated a large inoculum 349
effect for vancomycin against heteroresistant-VISA, but also found that simulated doses 350
of vancomycin up to 5g q12h were unable to achieve sustained killing(40). A murine 351
thigh infection model was later used to characterize the magnitude of inocula effects for 352
MRSA and heteroresistant-VISA exposed to several antimicrobials(41). The authors 353
concluded that the inoculum effect was much more severe for vancomycin in 354
comparison to other anti-staphylococcal agents such as daptomycin and linezolid. It is 355
therefore prudent to view the results of the current investigation as representative of a 356
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
16
worst-case clinical scenario, as vancomycin may achieve much better activity in more 357
favorable conditions. 358
359
In closing, clinically relevant vancomycin regimens simulated in a HFIM were largely 360
ineffective against two common CA-MRSA strains, with increasing vancomycin 361
exposure conferring more substantial antibiotic resistance and severe losses in 362
virulence. The only investigational regimen capable of killing USA 300 and USA 400 363
was the 4g q12h regimen, which is a dosing scheme neglected clinically due to 364
vancomycin’s propensity for dose related nephrotoxicity.(42) In the model in vitro 365
system, simply obtaining the suggested AUC/MIC of 400 was not enough to overcome 366
the resistance mechanims of S. aureus. Owing to vancomycin’s inability to achieve 367
bactericidal activity at clinical concentrations, clinicians are cautioned about selecting 368
vancomycin for MRSA infections containing S. aureus strains with questionable 369
vancomycin susceptibility. Aggressive stewardship and the use of alternative 370
antimicrobials may be necessary to stem S. aureus’ progressive MIC creep to 371
vancomycin, as seemingly optimal vancomycin regimens may actually exacerbate 372
vancomycin resistance. It will likely take many years to fully define where the niche of 373
vancomycin now lies in the context of new anti-MRSA agents that offer clinicians a more 374
diverse armamentarium to select alternative agents from. 375
376
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
17
Acknowledgements 377
We thank Dr. Alan Forrest for insight into PK/PD and statistical analyses. B.T.s 378
participation in this study was supported by National Institute of Allergy and Infectious 379
Diseases of the National Institutes award number R01AI111990. The content is solely 380
the responsibility of the authors and does not necessarily represent the official views of 381
the National Institutes of Health. 382
383
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
18
Table 1. Bacterial Isolates of MRSA USA300 collected during the 10d HFIM 384
investigating a 2g q12h vancomycin regimen. Minimum inhibitory concentrations (mg/L) 385
to vancomycin and other antibiotic of interest are listed for each isolate. 386
Time of sample secondary
Strain Vanco 2g q12h exposure VAN LZD DAP RIF LEV CIP GEN NAF
LAD201
Baseline 0h 1 2 0.5 0.015 8 32 1 32
LAD202 24h 1 2 0.5 0.015 8 32 2 32
LAD203 48h 1 2 0.5 0.015 8 32 2 32
LAD204 72h 2 2 0.5 0.015 16 32 2 32
LAD205 96h 2 2 0.25 0.015 8 32 2 32
LAD206 120h 4 2 0.5 0.03 8 32 2 32
LAD207 144h 4 2 1 0.03 16 32 0.5 32
LAD208 168h 4 2 1 0.03 16 16 2 32
LAD209 192h 4 2 2 0.03 8 16 2 16
LAD210 216h 4 2 2 0.03 8 16 1 32
LAD211 240h 4 2 2 0.03 8 16 2 32
387 NOTE: VAN, vancomycin; LZD, linezolid; DAP, daptomycin; RIF, rifampicin, LEV, 388
levofloxacin; CIP, ciprofloxacin; GEN, gentamicin; NAF, nafcillin 389
390
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
19
Figure 1. Humanized dosing regimens of vancomycin against MRSA USA300 391
quantifying the total population (Blue), and the sequential emergence of resistance 392
secondary to drug exposure (Red, Gray, and Pink) over a 10 day period. 393
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
ControlTotal Population2 x MIC Mutants4 x MIC Mutants6 x MIC Mutants
A. Vanco 500mg every 12h B. Vanco 1000mg every 12h
C. Vanco 2000mg every 12h D. Vanco 4000mg every 12h
Time (Hour)
Log 1
0 C
FU/m
L
394
395
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
20
Figure 2. Humanized dosing regimens of vancomycin against MRSA USA400 396
quantifying the total population (Blue), and the sequential emergence of resistance 397
secondary to drug exposure (Red, Gray and Pink) over a 10 day period. 398
Time (Hour)
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
0 24 48 72 96 120 144 168 192 216 2400
1
2
3
4
5
6
7
8
9
10
11
12
ControlTotal Population2 x MIC Mutants4 x MIC Mutants6 x MIC Mutants
A. Vanco 500mg every 12h B. Vanco 1000mg every 12h
C. Vanco 2000mg every 12h D. Vanco 4000mg every 12h
Time (Hour)
Log 1
0 C
FU/m
L
399
400
401
402
403
404
405
406
407
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
21
Figure 3. The bacterial reductions (represented as Log Ratio Areas) of MRSA USA300 408
and USA400 are plotted as a function of vancomycin exposure. The fAUC/MIC needed 409
to confer a reduction in the Log Ratio Area of 0.344, 1, 2, and 3 (black, blue, green, and 410
purple, respectively) are listed above the corresponding vancomycin exposures. The 411
data were described by a Hill-type function as described previously.(25) 412
0 100 200 300 400 500 600 700 800 900 1000-5
-4
-3
-2
-1
0
R2=0.990
fAUC/MIC
log reduction
200 371 554 757
-0.344 -1.00 -2.00 -3.00
Vancomycin Exposure (fAUC/MIC)
Bacterial Strain:● MRSA USA300○ MRSA USA400
Bact
eria
l Red
uctio
n (L
og R
atio
Are
a)
413
414
415
416
417
418
419
420
421
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
22
Figure 4. A.) Step wise evolution of resistance as shown in population analysis profiles 422
of vancomycin quantified every 24h over a 10 day period in response to simulated 423
human exposure of vancomycin 2g q12h. B) Comparative population analysis profiles 424
among different vancomycin dosing regimens of 500mg, 1000mg, 2000mg and 4000mg 425
q12h at the 240h study endpoint. 426
427
Vancomycin Concentration (mg/L)
0 2 4 6 8 10 12 14 16
Log 10
CFU
/ml
0
1
2
3
4
5
6
7
8
9
10 LAD188 (240h 500mg every 12h)LAD200 (240h 1000mg every 12h)LAD211 (240h 2000mg every 12h)LAD349 (240h 4000mg every 12h)
Vancomycin Concentration (mg/L)
0 2 4 6 8 10 12 14 16
Log 10
CFU
/ml
0
1
2
3
4
5
6
7
8
9
10LAD201 (0h)LAD202 (24h)LAD203 (48h)LAD204 (72h)LAD205 (96h)LAD206 (120h)LAD207 (144h)LAD208 (168h)LAD209 (192h)LAD210 (216h)LAD211 (240h)
A. Evolution of Resistance B. PAPs and Drug Exposure
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
23
Figure 5. A.) G. mellonella virulence assay in response to simulated human 428
vancomycin exposure. Worms were inoculated with MRSA USA 300 isolates collected 429
throughout the 2g q12h vanomycin regimen in the HFIM, and the subsequent survival of 430
the worms was recorded. G. mellonella inoculated with isolates collected after ≥ 96h of 431
vancomycin treatment displayed significantly better survival in comparison to worms 432
inoculated with the baseline isolate (p=0.021, Log-Rank Test). B.) The assay was 433
repeated for the terminal MRSA USA 300 isolates collected at the end of the 10d HFIM 434
experiments for each vancomycin regimen. Vancomycin doses of ≤ 2g q12h resulted in 435
significantly better survival of the G. mellonella relative to the baseline isolate (p=0.029), 436
whereas the isolate collected after 240h exposure to the 4g q12h regimen was 437
comparably virulent to the baseline isolate (p=0.231). 438
439
LAD200 (240h of vanco 1g q12h)
LAD201 (Baseline) LAD202 (24h of vanco 2g q12h)LAD203 ((48h of vanco 2g q12h)LAD204 (72h of vanco 2g q12g)LAD205 (96h of vanco 2g q12h)LAD 206 (120h of vanco 2g 12h)LAD 207 (144h of vanco 2g q12h)LAD208 (168h of vanco 2g q12h)LAD209 (192h of vanco 2g q12h)LAD210 (216h of vanco 2g q12h)LAD211 (240h of vanco 2g q12h)RN6607 (agr+ S. aureus control) RN9120 (agr- S. aureus control)
Time (Day)
0 1 2 3 4 5 6
Surv
ival
(%)
10
20
30
40
50
60
70
80
90
100
Legend:LAD205 (96h of vanco 2g q12h)LAD206 (120h of vanco 2g 12h)LAD207 (144h of vanco 2g q12h)LAD208 (168h of vanco 2g q12h)LAD209 (192h of vanco 2g q12h)LAD210 (216h of vanco 2g q12h)LAD211 (240h of vanco 2g q12h)
RN9120 (agr- S. aureus control)
Time (Day)
0 1 2 3 4 5 6
Surv
ival
(%)
0
10
20
30
40
50
60
70
80
90
100 Legend:
LAD201 (Baseline)
LAD188 (240h of vanco 0.5 q12h)LAD211 (240h of vanco 2g q12g)
LAD349 (240h of vanco 4g q12h)
A. B.
RN6607 (agr+ S. aureus control)
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
24
Figure 6. A.) RNAIII profiling to measure activity of agr, the primary quorum sensing 440
response regulator of virulence in S. aureus, quantified every 24h in response to USA 441
MRSA 300 exposed to vancomycin 2g q12h for 10 days. B.) Co-modelling of the agr 442
expression in panel A (pink) with MRSA USA 300’s total population (black), 443
vancomycin-resistant subpopulations growing on 4.0 mg/L of vancomycin (red), and G. 444
mellonella mortality (blue). C.) The same analysis is repeated using the 240h terminal 445
time point for vancomycin doses of 500 mg to 4g q12h. 446
Vancomycin Exposure (fAUC24/MIC)
0 100 200 300 400 500 600 700 800 900 1000Bact
eria
l Den
sity
of T
otal
and
Res
ista
nt P
opul
atio
n (L
og10
CFU
/ml)
0
1
2
3
4
5
6
7
8
9
10
11
12
Mor
talit
y (%
)
0
10
20
30
40
50
60
70
80
90
100
Rel
ativ
e R
NAI
II (a
gr) E
xpre
ssio
n
-10
0
10
20
30
40
50
60
70
80
90
100
110
120
Time (Hour)
0 24 48 72 96 120 144 168 192 216 240Bact
eria
l Den
sity
of T
otal
and
Res
ista
nt P
opul
atio
n (L
og10
CFU
/ml)
0
1
2
3
4
5
6
7
8
9
10
11
12
Mor
talit
y (%
)
0
10
20
30
40
50
60
70
80
90
100
Rel
ativ
e R
NAI
II (a
gr) E
xpre
ssio
n
0
1
2
3
4
5
6
7
8
9
10
11
12
A. B.
Time (Hour)
0 24 48 72 96 120 144 168 192 216 240
Rel
ativ
e R
NAI
II Q
uant
ity
0
5
10
15
20
C.
Total PopulationResistant Sub-populationRelative agr ExpressionG. mellonella Mortality
447
448
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
25
REFERENCES 449
1. Lowy FD. 1998. Staphylococcus aureus infections. N Engl J Med 339:520-532. 450 2. Hanaki H, Kuwahara-Arai K, Boyle-Vavra S, Daum RS, Labischinski H, Hiramatsu 451
K. 1998. Activated cell-wall synthesis is associated with vancomycin resistance in 452 methicillin-resistant Staphylococcus aureus clinical strains Mu3 and Mu50. J Antimicrob 453 Chemother 42:199-209. 454
3. Hanaki H, Labischinski H, Inaba Y, Kondo N, Murakami H, Hiramatsu K. 1998. 455 Increase in glutamine-non-amidated muropeptides in the peptidoglycan of vancomycin-456 resistant Staphylococcus aureus strain Mu50. J Antimicrob Chemother 42:315-320. 457
4. Hiramatsu K, Hanaki H, Ino T, Yabuta K, Oguri T, Tenover FC. 1997. Methicillin-458 resistant Staphylococcus aureus clinical strain with reduced vancomycin susceptibility. J 459 Antimicrob Chemother 40:135-136. 460
5. Sieradzki K, Tomasz A. 2003. Alterations of cell wall structure and metabolism 461 accompany reduced susceptibility to vancomycin in an isogenic series of clinical isolates 462 of Staphylococcus aureus. J Bacteriol 185:7103-7110. 463
6. Tsuji BT, von Eiff C, Kelchlin PA, Forrest A, Smith PF. 2008. Attenuated 464 vancomycin bactericidal activity against Staphylococcus aureus hemB mutants 465 expressing the small-colony-variant phenotype. Antimicrob Agents Chemother 52:1533-466 1537. 467
7. Alam MT, Petit RA, 3rd, Crispell EK, Thornton TA, Conneely KN, Jiang Y, Satola 468 SW, Read TD. 2014. Dissecting vancomycin-intermediate resistance in staphylococcus 469 aureus using genome-wide association. Genome Biol Evol 6:1174-1185. 470
8. Vidaillac C, Gardete S, Tewhey R, Sakoulas G, Kaatz GW, Rose WE, Tomasz A, 471 Rybak MJ. 2013. Alternative mutational pathways to intermediate resistance to 472 vancomycin in methicillin-resistant Staphylococcus aureus. J Infect Dis 208:67-74. 473
9. Howden BP, Smith DJ, Mansell A, Johnson PD, Ward PB, Stinear TP, Davies JK. 474 2008. Different bacterial gene expression patterns and attenuated host immune responses 475 are associated with the evolution of low-level vancomycin resistance during persistent 476 methicillin-resistant Staphylococcus aureus bacteraemia. BMC Microbiol 8:39. 477
10. Mwangi MM, Wu SW, Zhou Y, Sieradzki K, de Lencastre H, Richardson P, Bruce 478 D, Rubin E, Myers E, Siggia ED, Tomasz A. 2007. Tracking the in vivo evolution of 479 multidrug resistance in Staphylococcus aureus by whole-genome sequencing. Proc Natl 480 Acad Sci U S A 104:9451-9456. 481
11. Zhang S, Sun X, Chang W, Dai Y, Ma X. 2015. Systematic Review and Meta-Analysis 482 of the Epidemiology of Vancomycin-Intermediate and Heterogeneous Vancomycin-483 Intermediate Staphylococcus aureus Isolates. PLoS One 10:e0136082. 484
12. Novick RP. 2003. Autoinduction and signal transduction in the regulation of 485 staphylococcal virulence. Mol Microbiol 48:1429-1449. 486
13. Lyon GJ, Wright JS, Muir TW, Novick RP. 2002. Key determinants of receptor 487 activation in the agr autoinducing peptides of Staphylococcus aureus. Biochemistry 488 41:10095-10104. 489
14. Ji G, Beavis R, Novick RP. 1997. Bacterial interference caused by autoinducing peptide 490 variants. Science 276:2027-2030. 491
15. Moise-Broder PA, Sakoulas G, Eliopoulos GM, Schentag JJ, Forrest A, Moellering 492 RC, Jr. 2004. Accessory gene regulator group II polymorphism in methicillin-resistant 493 Staphylococcus aureus is predictive of failure of vancomycin therapy. Clin Infect Dis 494 38:1700-1705. 495
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
26
16. Tsuji BT, Rybak MJ, Lau KL, Sakoulas G. 2007. Evaluation of accessory gene 496 regulator (agr) group and function in the proclivity towards vancomycin intermediate 497 resistance in Staphylococcus aureus. Antimicrob Agents Chemother 51:1089-1091. 498
17. Sakoulas G, Eliopoulos GM, Moellering RC, Jr., Novick RP, Venkataraman L, 499 Wennersten C, DeGirolami PC, Schwaber MJ, Gold HS. 2003. Staphylococcus 500 aureus accessory gene regulator (agr) group II: is there a relationship to the development 501 of intermediate-level glycopeptide resistance? J Infect Dis 187:929-938. 502
18. Diep BA, Gill SR, Chang RF, Phan TH, Chen JH, Davidson MG, Lin F, Lin J, 503 Carleton HA, Mongodin EF, Sensabaugh GF, Perdreau-Remington F. 2006. 504 Complete genome sequence of USA300, an epidemic clone of community-acquired 505 meticillin-resistant Staphylococcus aureus. Lancet 367:731-739. 506
19. Baba T, Takeuchi F, Kuroda M, Yuzawa H, Aoki K, Oguchi A, Nagai Y, Iwama N, 507 Asano K, Naimi T, Kuroda H, Cui L, Yamamoto K, Hiramatsu K. 2002. Genome 508 and virulence determinants of high virulence community-acquired MRSA. Lancet 509 359:1819-1827. 510
20. Holden MT, Feil EJ, Lindsay JA, Peacock SJ, Day NP, Enright MC, Foster TJ, 511 Moore CE, Hurst L, Atkin R, Barron A, Bason N, Bentley SD, Chillingworth C, 512 Chillingworth T, Churcher C, Clark L, Corton C, Cronin A, Doggett J, Dowd L, 513 Feltwell T, Hance Z, Harris B, Hauser H, Holroyd S, Jagels K, James KD, Lennard 514 N, Line A, Mayes R, Moule S, Mungall K, Ormond D, Quail MA, Rabbinowitsch E, 515 Rutherford K, Sanders M, Sharp S, Simmonds M, Stevens K, Whitehead S, Barrell 516 BG, Spratt BG, Parkhill J. 2004. Complete genomes of two clinical Staphylococcus 517 aureus strains: evidence for the rapid evolution of virulence and drug resistance. Proc 518 Natl Acad Sci U S A 101:9786-9791. 519
21. Gumbo T, Louie A, Deziel MR, Parsons LM, Salfinger M, Drusano GL. 2004. 520 Selection of a moxifloxacin dose that suppresses drug resistance in Mycobacterium 521 tuberculosis, by use of an in vitro pharmacodynamic infection model and mathematical 522 modeling. J Infect Dis 190:1642-1651. 523
22. Tsuji BT, Brown T, Parasrampuria R, Brazeau DA, Forrest A, Kelchlin PA, Holden 524 PN, Peloquin CA, Hanna D, Bulitta JB. 2012. Front-loaded linezolid regimens result in 525 increased killing and suppression of the accessory gene regulator system of 526 Staphylococcus aureus. Antimicrob Agents Chemother 56:3712-3719. 527
23. Peleg AY, Jara S, Monga D, Eliopoulos GM, Moellering RC, Jr., Mylonakis E. 2009. 528 Galleria mellonella as a model system to study Acinetobacter baumannii pathogenesis 529 and therapeutics. Antimicrob Agents Chemother 53:2605-2609. 530
24. Bulman ZP, Sutton MD, Ly NS, Bulitta JB, Holden PN, Nation RL, Li J, Tsuji BT. 531 2015. Emergence of polymyxin B resistance influences pathogenicity in Pseudomonas 532 aeruginosa mutators. Antimicrob Agents Chemother 59:4343-4346. 533
25. Lenhard JR, von Eiff C, Hong IS, Holden PN, Bear MD, Suen A, Bulman ZP, Tsuji 534 BT. 2015. Evolution of Staphylococcus aureus under vancomycin selective pressure: the 535 role of the small-colony variant phenotype. Antimicrob Agents Chemother 59:1347-1351. 536
26. Casapao AM, Leonard SN, Davis SL, Lodise TP, Patel N, Goff DA, Laplante KL, 537 Potoski BA, Rybak MJ. 2013. Clinical outcomes in patients with heterogeneous 538 vancomycin-intermediate Staphylococcus aureus (hVISA) bloodstream infection. 539 Antimicrob Agents Chemother doi:10.1128/aac.00380-13. 540
27. Casapao AM, Davis SL, McRoberts JP, Lagnf AM, Patel S, Kullar R, Levine DP, 541 Rybak MJ. 2014. Evaluation of vancomycin population susceptibility analysis profile as 542
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
27
a predictor of outcomes for patients with infective endocarditis due to methicillin-543 resistant Staphylococcus aureus. Antimicrob Agents Chemother 58:4636-4641. 544
28. De Vriese AS, Vandecasteele SJ. 2014. Vancomycin: the tale of the vanquisher and the 545 pyrrhic victory. Perit Dial Int 34:154-161. 546
29. Fong RK, Low J, Koh TH, Kurup A. 2009. Clinical features and treatment outcomes of 547 vancomycin-intermediate Staphylococcus aureus (VISA) and heteroresistant 548 vancomycin-intermediate Staphylococcus aureus (hVISA) in a tertiary care institution in 549 Singapore. Eur J Clin Microbiol Infect Dis 28:983-987. 550
30. Moise PA, Schentag JJ. 2000. Vancomycin treatment failures in Staphylococcus aureus 551 lower respiratory tract infections. Int J Antimicrob Agents 16 Suppl 1:S31-34. 552
31. Rybak M, Lomaestro B, Rotschafer JC, Moellering R, Jr., Craig W, Billeter M, 553 Dalovisio JR, Levine DP. 2009. Therapeutic monitoring of vancomycin in adult patients: 554 a consensus review of the American Society of Health-System Pharmacists, the 555 Infectious Diseases Society of America, and the Society of Infectious Diseases 556 Pharmacists. Am J Health Syst Pharm 66:82-98. 557
32. Tam VH, Louie A, Deziel MR, Liu W, Drusano GL. 2007. The relationship between 558 quinolone exposures and resistance amplification is characterized by an inverted U: a 559 new paradigm for optimizing pharmacodynamics to counterselect resistance. Antimicrob 560 Agents Chemother 51:744-747. 561
33. Tsuji BT, Rybak MJ, Cheung CM, Amjad M, Kaatz GW. 2007. Community- and 562 health care-associated methicillin-resistant Staphylococcus aureus: a comparison of 563 molecular epidemiology and antimicrobial activities of various agents. Diagn Microbiol 564 Infect Dis 58:41-47. 565
34. Viedma E, Sanz F, Orellana MA, San Juan R, Aguado JM, Otero JR, Chaves F. 566 2014. Relationship between agr dysfunction and reduced vancomycin susceptibility in 567 methicillin-susceptible Staphylococcus aureus causing bacteraemia. J Antimicrob 568 Chemother 69:51-58. 569
35. Rudkin JK, Edwards AM, Bowden MG, Brown EL, Pozzi C, Waters EM, Chan WC, 570 Williams P, O'Gara JP, Massey RC. 2012. Methicillin resistance reduces the virulence 571 of healthcare-associated methicillin-resistant Staphylococcus aureus by interfering with 572 the agr quorum sensing system. J Infect Dis 205:798-806. 573
36. Gardete S, Kim C, Hartmann BM, Mwangi M, Roux CM, Dunman PM, Chambers 574 HF, Tomasz A. 2012. Genetic pathway in acquisition and loss of vancomycin resistance 575 in a methicillin resistant Staphylococcus aureus (MRSA) strain of clonal type USA300. 576 PLoS Pathog 8:e1002505. 577
37. Craven RR, Gao X, Allen IC, Gris D, Bubeck Wardenburg J, McElvania-Tekippe E, 578 Ting JP, Duncan JA. 2009. Staphylococcus aureus alpha-hemolysin activates the 579 NLRP3-inflammasome in human and mouse monocytic cells. PLoS One 4:e7446. 580
38. Onogawa T. 2002. Staphylococcal alpha-toxin synergistically enhances inflammation 581 caused by bacterial components. FEMS Immunol Med Microbiol 33:15-21. 582
39. Proctor RA, von Eiff C, Kahl BC, Becker K, McNamara P, Herrmann M, Peters G. 583 2006. Small colony variants: a pathogenic form of bacteria that facilitates persistent and 584 recurrent infections. Nat Rev Microbiol 4:295-305. 585
40. Rose WE, Leonard SN, Rossi KL, Kaatz GW, Rybak MJ. 2009. Impact of inoculum 586 size and heterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) on 587 vancomycin activity and emergence of VISA in an in vitro pharmacodynamic model. 588 Antimicrob Agents Chemother 53:805-807. 589
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from
28
41. Lee DG, Murakami Y, Andes DR, Craig WA. 2013. Inoculum effects of ceftobiprole, 590 daptomycin, linezolid, and vancomycin with Staphylococcus aureus and Streptococcus 591 pneumoniae at inocula of 10(5) and 10(7) CFU injected into opposite thighs of 592 neutropenic mice. Antimicrob Agents Chemother 57:1434-1441. 593
42. Lodise TP, Lomaestro B, Graves J, Drusano GL. 2008. Larger vancomycin doses (at 594 least four grams per day) are associated with an increased incidence of nephrotoxicity. 595 Antimicrob Agents Chemother 52:1330-1336. 596
597
on April 5, 2018 by guest
http://aac.asm.org/
Dow
nloaded from