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Antimicrobial Agents and Chemotherapy, February 1998, p. 377-382, Vol. 42, No. 2
0066-4804/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
Comparison of Pharmacodynamics of Azithromycin and
Erythromycin In Vitro and In Vivo
Jan G.
den
Hollander,1,*
Jenny D.
Knudsen,2
Johan W.
Mouton,1
Kurt
Fuursted,2
Niels
Frimodt-Møller,2
Henri A.
Verbrugh,1 and
Frank
Espersen2
Department of Medical Microbiology and
Infectious Diseases, University Hospital, Rotterdam, The
Netherlands,1 and
Division of
Microbiology, Statens Serum Institut, Copenhagen,
Denmark2
Received 17 March 1997/Returned for modification 18 September
1997/Accepted 22 November 1997
 |
ABSTRACT |
In this study, we determined the efficacy of various dosing
regimens for erythromycin and azithromycin against four pneumococci with different susceptibilities to penicillin in an in vitro
pharmacokinetic model and in a mouse peritonitis model. The MIC was
0.03 µg/ml, and the 50% effective doses (determined after one dose)
of both drugs were comparable for the four pneumococcal strains and
were in the range of 1.83 to 6.22 mg/kg. Dosing experiments with mice, using regimens for azithromycin of one to eight doses/6 h, showed the
one-dose regimen to give the best result; of the pharmacodynamic parameters tested (the maximum drug concentration in serum
[Cmax], the times that the drug concentration
in serum remained above the MIC and above the concentration required
for maximum killing, and the area under the concentration time curve),
Cmax was the best predictor of outcome. The
bacterial counts in mouse blood or peritoneal fluid during the first
24 h after challenge were not correlated to survival of the mice.
The serum concentration profiles obtained with mice for the different
dosing regimens were simulated in the in vitro pharmacokinetic model.
Here as well, the one-dose regimen of azithromycin showed the best
result. However, the killing curves in vivo in mouse blood and
peritoneal fluid and in the vitro pharmacokinetic model were not
similar. The in vitro killing curves showed a decrease of 2 log10 within 2 and 3 h for azithromycin and
erythromycin, respectively, whereas the in vivo killing curves showed a
bacteriostatic effect for both drugs. It is concluded that the results
in terms of predictive pharmacodynamic parameters are comparable for
the in vitro and in vivo models and that high initial concentrations of
azithromycin favor a good outcome.
 |
INTRODUCTION |
Although macrolides are being used
to treat moderate to severe infections, it is not well known how
effective these drugs are in the treatment of infections that are
accompanied by a severe sepsis syndrome (5, 9, 11, 14, 15, 24,
26). One of the problems is that the volume of distribution of
these drugs is quite large, resulting in relatively low concentrations
in serum (10, 18, 22). Thus, the relationship between the
concentration in serum and the MIC for the infecting microorganism
never attains high values and remains questionable. This is especially
true for the recently clinically introduced 15-membered macrolide the azalide azithromycin, which has an even greater volume of distribution. For example, the range of azithromycin concentrations in tissue is 1 to
9 mg/kg, which is 10 to 100 times the concentration in serum (6,
7, 30). The importance of the high ratio of the concentration in
serum to the MIC has not been established for azithromycin. Since the
occurrence of penicillin resistance in pneumococci (16), the
quest for knowledge about the efficacy of alternative drugs in the
treatment of pneumococcal disease is warranted.
There are several ways to shed light on this issue by using a mouse
sepsis model, the survival of mice or the bacterial counts can be
determined, and by measuring the concentrations of the macrolides in
the different body compartments, the relationship between drug
concentration and efficacy can be determined. Although this approach
has been used in several animal models, in none of these models was a
severe sepsis syndrome present (1, 3, 23, 29). Another
approach would be to simulate the pharmacokinetics of the macrolides in
an in vitro pharmacodynamic model and determine the antimicrobial
efficacy of macrolides given in several dosing regimens. By combining
the results of in vitro and in vivo efficacy experiments, more detailed
insight into the pharmacodynamic principles of macrolides can probably
be gained. Such a combined approach would also be of value when
defining breakpoints for in vitro susceptibility testing with routine
laboratory tests. However, the usual method of relating MICs directly
to concentrations in serum can obviously be applied to macrolide drugs
only within certain limits.
The purpose of the present study was twofold. The first goal was to
investigate the efficacy of one of the recently clinically introduced
macrolides, azithromycin, in the treatment of a severe sepsis syndrome
and to determine which pharmacokinetic and pharmacodynamic parameters
are the best predictors of efficacy.
The second objective of the study was to compare data derived from an
animal infection model with those determined in an in vitro
pharmacodynamic model. There is, as far as we know, only one previous
study comparing the results of an in vitro model with those of an
animal model (2). However, in that study, efficacy, as
measured by the killing effect, was comparable in both models but
macrolides were not used.
(This report was presented at the 36th International Conference on
Antimicrobial Agents and Chemotherapy 1996 in New Orleans, La. [poster
A-048].)
 |
MATERIALS AND METHODS |
Strains, antibiotics, and media.
The strains used for the
experiments were four clinical isolates of Streptococcus
pneumoniae with different susceptibilities to penicillin. The
serotypes were determined at The Streptococcus Department, Statens
Serum Institut (Copenhagen, Denmark), by using anticapsular
polysaccharide antibodies (19). Erythromycin (E 6376; Sigma
Chemical Company, St. Louis, Mo.) and azithromycin (azithromycin
dihydrate; Pfizer Pharmaceuticals, Ringasskiddy, Ireland) were used and
dissolved in accordance with the manufacturers' instructions. All in
vitro experiments were performed in Mueller-Hinton broth (MHB; Difco,
Amsterdam, The Netherlands). Todd-Hewitt broth (Difco) was used to
culture pneumococci prior to the time-kill experiments, and beef broth
(Statens Serum Institut) was used as the medium for pneumococcal
cultures prior to mouse experiments. All experimental samples were
plated on 5% blood agar plates (Sanofi Pasteur [Maassluis, The
Netherlands] and Statens Serum Institut).
MICs, generation time, and conventional time-kill curves.
MICs of erythromycin and azithromycin were determined by using a
standard agar dilution method (21), a macrodilution method (21), and the gradient disk diffusion method (E test; AB
Biodisk, Solna, Sweden). The generation times of all strains were
determined during conventional logarithmic growth in tubes of MHB.
Conventional time-kill experiments were performed with erythromycin and
azithromycin at concentrations of 0, 0.25, 0.5, 1, 2, 4, 8, 16, 32, 64, and 128 times the MIC in shaking tubes containing 10 ml of MHB. All time-kill curves were determined in duplicate. For each experiment, a
fresh culture was made in 30 ml of Todd-Hewitt broth inoculated with
5 × 105 CFU of a standardized pneumococcal batch
stored at
80°C. After 12 h of incubation at 37°C, these
cultures were diluted in prewarmed MHB and shaken for 1.5 h at
37°C, resulting in a logarithmic-phase culture of 5 × 105 CFU/ml. Samples were then diluted with prewarmed MHB
containing twice the final antibiotic concentration. Samples were
subsequently taken at t = 0, 1, 2, 4, and 6 h, and
the numbers of CFU per milliliter were determined after making
appropriate 10-fold dilutions in cold phosphate-buffered saline (pH
7.4). From each dilution, 0.1 ml was plated on a 5% blood agar plate
and incubated for 48 h at 37°C (limit of detection, 10 CFU/ml).
Mouse peritonitis model.
All animal experiments were
approved by the animal ethical committee. The model was previously
described in detail (17). Briefly, outbred female
ssc:CF1 mice (age, approximately 8 weeks; weight, 30 ± 2 g) were used throughout the study. The mice were kept at five
per cage and had free access to chow and water. From fresh overnight
cultures on 5% blood agar plates, an inoculum was prepared immediately
before inoculation by suspending colonies in sterile beef broth medium
and diluting it to a suspension containing approximately 2 × 106 CFU/ml. Mucin (M-2378; Sigma Chemical Company) was used
as an adjuvant for inoculation of the mice. Immediately before
inoculation, the mucin solutions were diluted 1:1 with the pneumococcal
suspensions, yielding a final mucin concentration of 5% (wt/vol). The
final number of CFU per milliliter in the inoculum was determined by plating on 5% blood agar. Inoculation was performed by intraperitoneal injection of 0.5 ml of the inoculum. Blood samples were obtained by
cutting the axillary artery after anesthetizing the mice with CO2. After the mice were sacrificed, peritoneal washes were
performed by intraperitoneal injection of 2 ml of sterile saline, and
after the abdomen was massaged, the peritoneum was opened for fluid collection (8). Blood and peritoneal fluids were immediately diluted, and duplicate 20-µl samples were plated in spots on 5% blood agar plates. Mice were treated by administering subcutaneous injections in the neck region.
Determination of the ED50.
The 50% effective
doses (ED50s) were determined by administration of one-dose
treatments 1 h after challenge with pneumococci. The
determinations were done in two steps for each drug and strain. In the
first step, 25 mice were treated in groups of 5 with five successive
10-fold higher doses of the antibiotics. The maximum dose was 100 mg/kg. In the second step, 25 mice were treated in groups of 5 with
doses within the range of the ED50s estimated in the first
step. A group of five control mice was included in every experiment.
The drugs were administered as a single injection of 0.5 ml
subcutaneously. The mice were observed for 6 days, and mortality was
registered.
Pharmacokinetics in mice.
Pharmacokinetic studies of
erythromycin and azithromycin in healthy mice were performed. For each
time point, blood was collected from three mice for determination of
the antibiotic concentration. After collection of the samples, the
blood was centrifuged at 1,630 × g for 10 min and the
serum was stored at
80°C until analysis. The cup plate or the disk
diffusion bioassay method (4) was used to measure the
concentrations of erythromycin and azithromycin in mouse serum.
Sarcina lutea ATCC 9341 was used for the bioassay. The lower
limit of detection was 0.125 µg/ml. The variation coefficients were
below 5% for all of the bioassays used. All determinations were
performed in duplicate.
Dose regimens for mice.
The treatments were always initiated
1 h after challenge, a time at which the bacteria were known to be
in the growth phase (17). The total dose of either
erythromycin or azithromycin was 4 mg/kg, given either as one dose or
divided into four doses of 1 mg/kg, with a dosing interval of two serum
elimination half-lives (t1/2s)
(t = 0 and 80 min and t = 0 and 100 min, respectively). These regimens were chosen because of the
difference between the t1/2s of the two drugs
and the fact that we wanted to obtain comparable regimens for the
drugs. In mouse survival studies, the same dose of 4 mg/kg was given as
one, two, four, or eight doses of azithromycin (i.e., 4, 2, 1, and 0.5 mg/kg, respectively), with dose intervals of 4, 2, and 1 times the
t1/2, respectively. Erythromycin was given once
or as four doses with an interval of twice the
t1/2. A group of control mice was included in
every experiment.
In vitro model.
The in vitro model used was described
previously in detail (20). Briefly, a two-compartment model
consisting of one central compartment and four peripheral compartments
consisting of disposable dialyzer units (ST23; Baxter, Utrecht, The
Netherlands) was used to expose the bacteria in the peripheral
compartments to declining antibiotic concentrations that vary according
to mouse pharmacokinetics. One hundred fifty milliliters of a
logarithmic-phase culture containing 5 × 105 CFU/ml
(prepared freshly as described above) was injected into the peripheral
compartments of the in vitro model. Samples were taken at the intervals
indicated in Results for determination of CFU counts and antibiotic
concentrations. The peak concentrations (Cmax),
the time to the Cmax
(Tmax), and the t1/2 of
the antibiotics in the model were adjusted to those found in the mouse
model. Antibiotic treatment was started at t = 0 h
with an infusor (Braun AG, Melsungen, Germany).
Dose regimens in vitro.
The erythromycin and azithromycin
regimens used for the mice were simulated in the in vitro model (see
above). Samples were taken every hour starting at t = 0 h. At 10 and 20 min after the Cmax was
reached, additional samples were taken for antibiotic concentration
determination. Antibiotic concentrations were determined by using the
cub agar diffusion method as described above. These concentrations were
used to check the Cmax and
t1/2. All regimens were performed in
quadruplicate.
Analysis and statistical methods.
The logit transformation
was used to calculate the ED50 (27). The
t1/2s of erythromycin and azithromycin in mice
and in the vitro model were estimated from the expression
log 2/
,
where
is the slope of the serum elimination regression line (time versus the log of the concentration in serum). From the conventional time-kill curves, the minimum concentrations of the drugs given the
maximal achievable killing of the pneumococcus were defined. The
Cmax, the Tmax, and the
times that the drug concentration in serum remained above the MIC
(T>MIC) and above the concentration required
for maximum killing (T>max-kill) were estimated
from the serum elimination regression line. A simulation of the
antibiotic concentration profile during all experiments was done by
using the formula of an open-compartment model after extravascular
administration (25). The area under the concentration-time
curve (AUC), T>MIC, and
T>max-kill (i.e., time above a concentration
equivalent to four times the MIC) were calculated by using these
simulated curves.
The Hill equation with a variable slope was used to describe the
dose-response curves of the conventional time-kill experiments. Statistical analysis of the bacterial killing curves (i.e., the difference between log10 CFU per milliliter at
t = 0 h and t = 6 h), both
for the in vitro model and for the conventional killing curves, was
done by two-way analyses of variance and Tukey's test for multiple
comparisons of significance (13).
The method of Kaplan-Meier (
12) was used for evaluation of
the survival data with product limit survival estimates. The
log rank
test was used to determine significant trends in the
curves
(
12).
To determine which pharmacokinetic parameters are predictive of
efficacy, multivariance analyses were performed by using forward
and
backward elimination procedures (
27). The following
parameters
were included in the model:
Cmax,
Tmax,
Tmax-kill, and AUC.
A
P value of

0.05 (two tailed) was considered significant.
 |
RESULTS |
MICs and ED50s.
The capsular serotypes and in
vitro generation times of the four clinical isolates of S. pneumoniae tested are given in Table 1, as are the MICs and the
ED50s of azithromycin and erythromycin. The MICs were
identical for all four strains and with all three of the methods used
(data not shown), and the ED50s for mice were also highly
comparable.
Conventional time-kill experiments.
Results of time-kill
experiments with strain 1064 exposed to azithromycin and erythromycin
in vitro are given in Fig. 1. The change
in log10 CFU per milliliter was plotted against the
concentrations as multiples of the MIC and then fitted to the Hill
equation. The curves fitted to the counts obtained after 4 h of
exposure show that maximum killing was reached at four times the MIC.
In contrast, if 1-h exposure values are used, maximum killing by azithromycin was reached only at 128 times the MIC, indicating that
there is concentration-dependent killing if strains are only briefly
exposed to the drug. This phenomenon was not observed with strain 964;
otherwise, the results were similar to those obtained with strain 1064 (data not shown).

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FIG. 1.
Growth and killing of S. pneumoniae 1064 exposed to increasing concentrations of erythromycin (top) or
azithromycin (bottom). The change in log CFU is the difference in CFU
at t = 0 h and at 1 h ( ) or 4 h
( ), respectively. The symbols indicate the observed CFU, and the
curves are fits obtained by using a sigmoidal dose-response equation
with a variable slope. The data are means of two separate
experiments.
|
|
Pharmacokinetics in mice and in the in vitro model.
The
Tmax, Cmax, and
t1/2 (mean ± standard deviation)
determined with mice for azithromycin and erythromycin were 10 to 20 min, 0.8 to 1.0 µg/ml, and 43 ± 8 and 51 ± 10 min,
respectively. On the basis of these observations, the pharmacokinetic
profiles of the free fractions of these drugs were simulated in the in vitro model. The Cmax in the model was adjusted
to 0.8 mg/liter for both drugs, taking into account approximately 20%
protein binding for erythromycin and <8% for azithromycin
(28). There were no significant differences between the
observed relevant pharmacokinetic parameters in vivo and in vitro. The
actual drug concentrations determined during the experiments fitted
well in the simulated drug-time profile for all regimens (data not
shown).
Efficacy studies. (i) CFU counts.
In mice, the efficacy of a
4-mg/kg dose of azithromycin or erythromycin, administered either in
one dose or in divided doses, was determined by CFU counts in blood and
in peritoneal fluid taken at intervals of up to 6 h. The number of
CFU in blood generally followed the same time course as that found in
peritoneal fluid (Fig. 2). Erythromycin
had only a slight bactericidal effect both in blood and in the
peritoneum, as was true for azithromycin as well. At t = 6 h, no significant difference between the two dose regimens of
either macrolide could be demonstrated.

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FIG. 2.
Killing of S. pneumoniae 1064 in mice and in
the in vitro model. Control data on the growth of the strain in vitro
(×) and in the blood ( × ) and peritoneums (---×---) of mice are
shown in all of the graphs. The symbols correspond to exposure to
erythromycin in one dose ( ) or in four divided doses ( ). For the
in vivo experiments, curves indicated by solid and broken lines
indicate the numbers of CFU in blood and the peritoneum,
respectively.
|
|
When the same dosing regimens were used in the pharmacokinetic model,
there was no apparent difference between the one-dose
regimen of
erythromycin and the same dose divided into four doses.
In contrast,
for azithromycin the one-dose regimen was significantly
more
efficacious than the four-dose regimen (
P = 0.02). This
difference
became apparent after the first hour of exposure.
Comparison of the data for erythromycin and azithromycin showed better
in vitro killing by azithromycin given as one dose
than by one dose of
erythromycin (
P = 0.01). However, no significant
difference in efficacy was observed between the other azithromycin
and
erythromycin dosing regimens. Experiments with strain 964
showed
similar results (data not shown).
(ii) Pharmacodynamics in mice versus in vitro.
The survival
rates of mice observed for 6 days after treatment with the different
regimens showed that there was a difference in efficacy between the
different dosing regimens of azithromycin (Table
2). Kaplan-Meier survival analysis showed
that there was a trend for increased survival when azithromycin was
administered less frequently (P = 0.001). In contrast,
survival of mice was not different for the erythromycin regimens
(P = 0.83).
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TABLE 2.
Survival of mice challenged with S. pneumoniae
1064 and pneumococcal killing effects of erythromycin and azithromycin
in vivo and in vitro
|
|
The correlation between survival of mice and bacterial counts was
studied during the dosing experiments. We did not find any
correlation
between survival of mice and bacterial counts either
in blood or in
peritoneal fluid. In one of the experiments, the
counts were measured
during the treatment period (Table
2). In
another of these dosing
experiments, the counts were determined
in five mice from each
treatment group 24 h after challenge. The
results, given as
log
10 counts in blood and peritoneal fluid,
as medians and
ranges, and the 6-day survival of mice treated
equally, are shown in
Table
3. There was no significant
correlation
between bacterial killing at
t = 24 h
and survival of mice.
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TABLE 3.
Bacterial counts at t = 24 h and
survival of mice during one experiment using different azithromycin
dosing regimens
|
|
To determine which of the pharmacodynamic parameters (AUC,
T>MIC,
Cmax, or
T>max-kill) was most predictive of the outcomes
of the different azithromycin regimens in vivo and in vitro, a
multivariance analysis was performed, despite the few data sets.
Both
for survival and for killing in the in vitro model, the
Cmax appeared to be the most significant
predictive parameter ([
P =
0.001] and
R2 = 0.49 [
P = 0.003],
respectively). In the in vitro model, the
coefficients of determination
for the other pharmacodynamic parameters
had
R2
values of 0.10 (
P = 0.24), 0.35 (
P = 0.015), and 0.40 (
P = 0.009)
for
T>max-kill, AUC, and
T>MIC, respectively. For the survival
experiment, the
P values of the survival analysis were 0.006 and
0.072 for
T>max-kill and
T>MIC, respectively. For the AUC,
no
calculations were possible in vivo since we used only one dose.
For
erythromycin, such an analysis was not possible due to the
smaller
number of dosing regimens tested.
 |
DISCUSSION |
In this study, we evaluated the pharmacodynamic parameters of
efficacy for macrolide antibiotics (azithromycin and erythromycin) in a
mouse model of a severe sepsis syndrome due to bacteremial pneumococcal
infection and compared these with the same parameters in an in vitro
pharmacokinetic model. In both models, the azithromycin Cmax was most predictive of success, indicating
that large doses given infrequently are better than the same amount of
the drug given in multiple doses with shorter dosing intervals.
The results of the conventional in vitro time-kill experiments indicate
that the maximum bactericidal effect of azithromycin is reached at four
times the MIC. However, there appears to be a greater
concentration-dependent effect during the first hour of exposure to
azithromycin. This effect disappears after 1 to 4 h. One of the
explanations could be that there is some kind of
concentration-dependent uptake of azithromycin in the cell. If this is
the case, it could be argued that the first dose of azithromycin should
be high. On the other hand, the maximum effect after 1 h is only 1 log10 decrease whereas a 2 log10 decrease is
achieved after 4 h; thus, the net initial effect of a high first
dose would probably be marginal.
The killing experiments performed with the in vitro pharmacokinetic
model showed a significantly better result when azithromycin was given
as one dose than when it was given in a multiple-dose regimen. This
benefit of one dose became apparent during the first hour of exposure
(Fig. 2). We calculated that the Cmax reached during the one-dose experiment corresponds to 16 to 32 times the MIC.
Beyond 1 h, the kinetics of killing more or less paralleled that
of the other dosing regimens, which contrasted with the progressive killing observed in the conventional time-kill experiments. This difference can be explained by the decreasing concentrations of azithromycin in the pharmacodynamic model, as opposed to the static concentrations in the conventional killing experiments.
In vivo, the initial effects of azithromycin on the CFU counts in blood
and the peritoneum were quite similar, irrespective of the dosing
regimen. There was no obvious relationship with in vivo efficacy and
the data obtained with the in vitro model. An explanation could be that
the pneumococcal growth rates are significantly different in the two
systems.
Comparison of bacterial killing in vitro and in mice showed significant
differences both during the 6 h of treatment and 24 h after
challenge. The same factors as just mentioned to explain the in vivo
results may be responsible for this. One way to obtain more comparable
results would be to reproduce the exact in vivo growth rate of
pneumococci in the in vitro model, for instance, by adjusting the
composition of the medium. Another possibility is to compare killing
curves obtained with the in vitro and in vivo models after correcting
for differences in the rate of growth. In this case, the observed
difference between in vitro and in vivo killing by azithromycin
disappears (results not shown). Although this approach seems
attractive, the results may become highly dependent on differences in
growth rate and may poorly reflect the antimicrobial activity of the
agent itself. We conclude that initial bacterial killing rates obtained
with the two models are not directly comparable.
The results of the mouse survival experiments showed that azithromycin
administered as one dose significantly increased the survival rate
compared with all of the other regimens. Furthermore, trend analysis
showed that survival was inversely related to the number of divided
doses given. This indicates that the Cmax may be
an important pharmacodynamic parameter for prediction of clinical efficacy. Other pharmacodynamic parameters did not show such a consistent relationship with survival. These results are in agreement with those obtained from the pharmacodynamic model, as regression analysis of the in vitro results likewise showed the
Cmax to be the single significant parameter that
explains the efficacy of azithromycin.
Thus, although the initial (6-h) killing rates obtained with the two
models are not directly comparable, the final conclusion with regard to
the pharmacodynamics of azithromycin are the same. This was also shown
for another in vitro and in vivo model comparison using other
antibiotics (2).
The data for the two erythromycin regimens tested (Table 2) showed no
significant difference in either the survival data or the killing data
from the in vitro model.
 |
FOOTNOTES |
*
Corresponding author. Present address: Department of
Internal Medicine, Zuiderziekenhuis, Groene Hilledijk 315, 3075 EA
Rotterdam, The Netherlands. Phone: 31-10-2903000, ext. 109. Fax:
31-10-2903361. E-mail: denHollander{at}BACL.AZR.NL.
 |
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