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Antimicrobial Agents and Chemotherapy, June 2008, p. 1924-1928, Vol. 52, No. 6
0066-4804/08/$08.00+0 doi:10.1128/AAC.01371-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
Enrichment of Fluoroquinolone-Resistant Staphylococcus aureus: Oscillating Ciprofloxacin Concentrations Simulated at the Upper and Lower Portions of the Mutant Selection Window
Alexander A. Firsov,1*
Irene Y. Lubenko,1,2
Maria V. Smirnova,1
Elena N. Strukova,1 and
Stephen H. Zinner3
Department of Pharmacokinetics and Pharmacodynamics, Gause Institute of New Antibiotics, Russian Academy of Medical Sciences, 11 Bolshaya Pirogovskaya Street, Moscow 119021, Russia,1
P. K. Anokhin Institute of Normal Physiology, Russian Academy of Medical Sciences, 11/4 Mokhovaya Street, Moscow 103009, Russia,2
Mount Auburn Hospital, Harvard Medical School, 330 Mount Auburn Street, Cambridge, Massachusetts 021383
Received 24 October 2007/
Returned for modification 25 February 2008/
Accepted 25 March 2008

ABSTRACT
The time inside the mutant selection window (MSW),
TMSW, appears
to be less predictive of the selection of fluoroquinolone-resistant
Staphylococcus aureus than is the ratio of the area under the
concentration-time curve (AUC) to the MIC. This observation
might be attributed to the fact that
TMSW does not consider
the actual position of simulated antibiotic concentrations inside
the MSW, which also might influence the amplification of resistant
mutants. To test this hypothesis, the enrichment of ciprofloxacin-resistant
S. aureus was studied at ciprofloxacin (CIP) concentrations
that oscillate near the mutant prevention concentration (MPC),
i.e., closer to the top of the MSW ("upper case"), and closer
to the MIC, i.e., at the lower limit of the MSW ("lower case")
at the same
TMSW. Two methicillin-resistant strains of
S. aureus,
ATCC 6538 and ATCC 43300 (MICs of 0.25 and 0.5 mg/liter, respectively,
and MPCs of 4 and 2 mg/liter, respectively), were exposed to
twice-daily CIP treatments for three consecutive days. With
S. aureus ATCC 6538, the simulated ratios of the AUC at 24 h
(AUC
24) to the MIC were 50 and 260 h (
TMSW 75% of the dosing
interval). With
S. aureus ATCC 43300, the simulated AUC
24/MICs
were 30 and 100 h (
TMSW 56%). With each organism, mutants resistant
to CIP were enriched in an AUC
24/MIC-dependent manner: the higher
the AUC
24/MIC ratio, the lower the growth on CIP-containing
plates. For example, the area under the time-kill curve of mutants
resistant to 4
x MIC of CIP in the upper case was three times
smaller than that in the lower case for both
S. aureus strains.
Similar differences were seen at the higher (8
x MIC) and lower
(2
x MIC) CIP concentrations. These data highlight differences
in the selection of resistant
S. aureus, depending on the position
of simulated concentrations inside the MSW at a given
TMSW.
This explains why
TMSW-based predictions of resistance are less
accurate than those based on AUC/MIC and AUC/MPC.

INTRODUCTION
Emerging bacterial resistance has stimulated a thorough evaluation
of novel antibiotics, with a special emphasis on the abilities
of these antibiotics to prevent the enrichment of resistant
mutants. Over the last 5 years, this phenomenon has been studied
intensively in vitro by using dynamic models; the results of
these studies have recently been reviewed and discussed in detail
elsewhere (
9). Previously reported complex relationships between
the enrichment of resistant mutants and in vitro-simulated pharmacokinetics
of fluoroquinolones (
5-
7,
16) and glycopeptides (
8) support
the hypothesis of the mutant selection window (MSW) (
14). Based
on these studies, both mutant selection and the concomitant
loss in susceptibility depend on the simulated ratio of area
under the curve (AUC) to the MIC in a bell-shaped manner. Together
with AUC/MIC, the time inside MSW (
TMSW) has been proposed as
a predictor of resistance (
5), although it appeared to be less
predictive of the selection of fluoroquinolone-resistant and,
especially, glycopeptide-resistant
Staphylococcus aureus than
was the AUC/MIC ratio (
1,
6-
8,
12). This observation might be
attributed to the fact that
TMSW does not consider the position
of simulated antibiotic concentrations within the MSW, which
also might influence the amplification of resistant mutants
(
15).
To test this hypothesis, the enrichment of ciprofloxacin-resistant S. aureus was studied at ciprofloxacin concentrations oscillating around the mutant prevention concentration (MPC), i.e., closer to the top of the MSW ("upper case") and closer to the MIC, i.e., at the lower boundary of the MSW ("lower case") over the same TMSW. To make this comparison more comprehensive, S. aureus strains with distinctly different MPC/MIC ratios were chosen.
(This study was presented at the 47th Interscience Conference on Antimicrobial Agents and Chemotherapy, Chicago, IL, 17 to 20 September 2007.)

MATERIALS AND METHODS
Antimicrobial agents, bacterial strains, and susceptibility testing.
Ciprofloxacin powder was kindly provided by Bayer Corporation
(West Haven, CT). Two methicillin-resistant strains of
S. aureus were selected for the study,
S. aureus ATCC 6538 and
S. aureus ATCC 43300. The MICs were determined prior to, during, and after
a 3-day-simulated treatment with ciprofloxacin. Susceptibility
testing was performed in triplicate by broth microdilution techniques
at 24 h postexposure, with the organism grown in Ca
2+- and Mg
2+-supplemented
Mueller-Hinton broth (MHB) at an inoculum size of 5
x 10
5 CFU/ml.
The ciprofloxacin MICs for
S. aureus ATCC 6538 and 43300 were
0.25 and 0.5 µg/ml, respectively.
The MPCs were determined as described elsewhere (14). Briefly, the tested microorganisms were cultured in MHB and incubated for 24 h. Then, the suspension was centrifuged (4,000 x g for 10 min) and resuspended in MHB to yield a concentration of 1010 CFU/ml. A series of agar plates containing known ciprofloxacin concentrations was then inoculated with
1010 CFU of S. aureus. The inoculated plates were incubated for 48 h at 37°C and screened visually for growth. To estimate the MPC, logarithms of bacterial numbers were plotted against ciprofloxacin concentrations. The MPC was taken as the point where the plot intersected the x axis, i.e., the lowest ciprofloxacin concentration that completely inhibited growth. The MPCs for S. aureus ATCC 6538 and ATCC 43300 were estimated at 4 and 2 µg/ml, respectively.
Thus, in terms of the MPC/MIC ratio, the two organisms differed over a fourfold range, from 4 (for S. aureus ATCC 43300) to 16 (for S. aureus ATCC 6538).
Simulated pharmacokinetic profiles.
A series of monoexponential profiles that mimic twice-daily dosing of ciprofloxacin was simulated with a half-life (T1/2) of 4 h. The simulated T1/2s represented weighted means of the values reported for humans: 3.2 to 5.0 h (13).
To ensure the selection of resistant mutants that can occur at TMSWs of more than 20 to 50% of the doing interval (1, 5), the simulated TMSWs were designed to be more than 50%. To provide the same TMSWs for the lower and upper cases, simulated ratios of 24-h AUC (AUC24) to MIC were designed at 50 h (lower case) and 260 h (upper case) with S. aureus ATCC 6538 (TMSW 75% of the dosing interval) and at 30 h (lower case) and 100 h (upper case) with S. aureus ATCC 43300 (TMSW 56%). Simulated concentration-time profiles are shown in Fig. 1.
In vitro dynamic model.
A previously described dynamic model (
3) was used in the study.
Briefly, the model consisted of two connected flasks (one containing
fresh MHB and the other with a magnetic stirrer, the central
unit), with the same broth containing either a bacterial culture
alone (control growth experiments) or a bacterial culture plus
antibiotic (killing/regrowth experiments). Peristaltic pumps
circulated fresh nutrient medium to the flasks and from the
central 60-ml unit at a flow rate of 10.4 ml/h. The clearance
provided by this flow rate, plus the volume of the central unit,
ensured monoexponential elimination of ciprofloxacin bacteria
from the system at an elimination rate constant of 0.17 h
–1.
The system was filled with sterile MHB and placed in an incubator at 37°C. The central unit was inoculated with an 18-h culture of S. aureus. After a 0.5-h incubation of the bacteria, the resulting exponentially growing cultures reached approximately 108 CFU/ml (6 x 109 CFU per 60-ml central compartment) and ciprofloxacin was injected into the central unit. The duration of the experiment was defined in each case as the time after the last dose when ciprofloxacin-exposed bacteria reached the maximum numbers observed in the absence of antibiotic (108 CFU/ml). All experiments were performed at least in duplicate within a 2-week interval. The reliability of ciprofloxacin pharmacokinetic simulations and the high reproducibility of the time-kill curves provided by the model have previously been reported (4).
Quantitation of the antimicrobial effect and susceptibility changes.
In each experiment, multiple sampling of bacteria-containing medium from the central compartment was performed throughout the observation period. One-hundred-microliter samples were serially diluted as appropriate and plated onto Mueller-Hinton agar plates containing 0x, 2x, 4x, 8x, and 16x MIC of ciprofloxacin. The lower limit of accurate detection was 200 CFU/ml.
The cumulative effect of each simulated treatment on the susceptible S. aureus subpopulations was expressed by area under the time-kill curve (AUBC [3]) measured from time zero to 72 h. A similar analysis of the time courses of mutants grown on ciprofloxacin-containing plates allowed calculation of the AUBC (AUBCM) over the same time interval. An example of the AUBCM determination is shown in Fig. 2.
To reveal changes in susceptibility, ciprofloxacin MICs of bacterial
cultures sampled from the model were determined 24, 48, and
72 h after beginning treatment and at the end of the observation
period if it was longer than 72 h. The final MIC (MIC
final)
was then related to the initial value (MIC
initial).

RESULTS
Time courses of ciprofloxacin-exposed
S. aureus ATCC 6538 and
43300 grown on antibiotic-free and antibiotic-containing medium
are shown in Fig.
3. With each organism, both the extent of
killing of the susceptible subpopulation and the time to regrowth
(Fig.
3) increased with an increase of the simulated AUC
24/MIC
ratio. A 5-fold increase in the simulated AUC
24/MIC (from 50
to 260 h) led to a 1.7-fold decrease in the AUBC and, by that,
to the same increase in the cumulative effect of ciprofloxacin
on
S. aureus ATCC 6538. With
S. aureus ATCC 43300, a 3-fold
increase in the simulated AUC
24/MIC (from 30 to 100 h) was accompanied
by a 1.5-fold increase in the cumulative antimicrobial effect.
As seen on the lower four plots shown in Fig.
3, mutants resistant
to 2
x, 4
x, and 8
x MIC of ciprofloxacin were enriched also in
an AUC
24/MIC-dependent manner. Bacterial growth on antibiotic-containing
plates started earlier and was more pronounced at the smaller
AUC
24/MICs (lower case) than at the higher AUC
24/MICs (upper
case). At the highest ciprofloxacin concentrations on plates
(16
x MIC), the AUC
24/MIC-associated differences in the growth
of mutants were minimal with
S. aureus ATCC 6538 and almost
negligible with
S. aureus ATCC 43300. In simulations of the
lower case, the susceptible subpopulation of
S. aureus ATCC
6538 in samples withdrawn from the model after a 48-h exposure
was almost completely replaced by mutants resistant to 2
x and
4
x MIC of ciprofloxacin. By the same time, susceptible cells
of
S. aureus ATCC 43300 were replaced by mutants resistant to
2
x MIC and, by 72 h, these cells were replaced by mutants resistant
to 4
x MIC of ciprofloxacin. In simulations of the upper case
with both organisms, similar replacement occurred only by mutants
resistant to 2
x MIC.
The described differences between the lower and upper case simulations were confirmed by the AUBCM analysis of the time courses of ciprofloxacin-resistant mutants of S. aureus ATCC 6538 and 43300 (Fig. 4). The cumulative production of the mutants resistant to 2x, 4x, and 8x MIC of ciprofloxacin appeared more than twofold greater in the lower case than in the upper case. These differences are consistent with a slightly more pronounced loss in susceptibility of staphylococci in the lower case than in the upper case, although this trend was not statistically significant (data not shown).

DISCUSSION
This study exposed two strains of
S. aureus to ciprofloxacin
concentrations that fell into the MSW for more than half of
the dosing interval, with
TMSWs of 56% with
S. aureus ATCC 43300
and 75% with
S. aureus ATCC 6538. As expected from the first
study of this type (
5), resistant mutants were enriched at these
conditions, with a concomitant loss in susceptibility. Although
the same
TMSW was designed with each organism, this enrichment
was more pronounced at ciprofloxacin concentrations that were
closer to the lower limit of the MSW than to the upper limit.
Due to the fact that the numbers of resistant mutants were determined
during treatment as well as after treatment, the regimen-associated
differences in mutant selection could be presented objectively,
by using the areas under the time courses of mutants grown on
antibiotic-supplemented plates. For both
S. aureus ATCC 6538
and 43300 mutants resistant to 2
x, 4
x, and 8
x MIC of ciprofloxacin,
the upper case was associated with AUBC
Ms more than twofold
smaller than those of the lower case. Similar position-associated
differences in the selection of mutants of these two strains
have recently been reported in a dynamic model study that simulates
constant ciprofloxacin concentrations (
TMSW 100%) (
2). Also,
these findings are consistent with in vitro data reported at
static conditions, in which many more mutants were observed
at antibiotic concentrations in the lower than in the upper
portions of the MSW (
2,
15).
Overall, the present study with two strains of S. aureus with different MPC/MIC ratios supports the MSW hypothesis and provides an explanation for the limited ability of TMSW to predict the selection of fluoroquinolone-resistant staphylococci. Indeed, the enrichment of ciprofloxacin-resistant mutants depends not only on the TMSW but also on the position of antibiotic concentrations within the MSW, making TMSW-based predictions of resistance less accurate than those based on AUC/MIC or AUC/MPC. Also, this study suggests that together with the population analysis profile method (10, 11), the AUBCM analysis is useful for objective presentation of resistance data.

ACKNOWLEDGMENTS
Each author certifies that he or she has no commercial association
that might pose a conflict of interest in connection with this
article.

FOOTNOTES
* Corresponding author. Mailing address: Department of Pharmacokinetics and Pharmacodynamics, Gause Institute of New Antibiotics, Russian Academy of Medical Sciences, 11 Bolshaya Pirogovskaya St., Moscow 119021, Russia. Phone: 7 (495) 708-3341. Fax: 7 (495) 245-0295. E-mail:
firsov{at}dol.ru 
Published ahead of print on 31 March 2008. 

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Antimicrobial Agents and Chemotherapy, June 2008, p. 1924-1928, Vol. 52, No. 6
0066-4804/08/$08.00+0 doi:10.1128/AAC.01371-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
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