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Antimicrobial Agents and Chemotherapy, February 2001, p. 420-427, Vol. 45, No. 2
Department of Microbiology, Duke University
Medical Center, Durham, North Carolina 27710
Received 14 July 2000/Returned for modification 29 August
2000/Accepted 30 October 2000
Infections with the human pathogenic basidiomycetous yeast
Cryptococcus neoformans are often treated with fluconazole.
Resistance to this antifungal agent has been reported. This study
investigated the patterns of mutation to fluconazole resistance in
C. neoformans in vitro. The MIC of fluconazole was measured
for 21 strains of C. neoformans. The MICs for these 21 strains differed (0.25 to 4.0 µg/ml), but the strains were selected
for this study because they exhibited no growth on plates of yeast
morphology agar (YMA) containing 8 µg of fluconazole per ml. To
determine their mutation rates, six independent cultures from a single
original colony were established for each of the 21 strains. Each
culture was then spread densely on a YMA plate with 8 µg of
fluconazole per ml. A random set of putative mutants was subcultured,
and the MIC of fluconazole was determined for each mutant. The 21 strains evinced significant heterogeneity in their mutation rates. The MICs of the putative mutants ranged widely, from their original MIC to
64 µg of fluconazole per ml. However, for this set of 21 strains,
there was no significant correlation between the original MIC for a
strain and the mutation rate of that strain; the MIC for the mutant
could not be predicted from the original MIC. These results suggest
that dynamic and heterogeneous mutational processes are involved in
generating fluconazole resistance in C. neoformans.
Cryptococcus neoformans
is an encapsulated basidiomycetous yeast capable of causing fatal
infection in both immunocompetent and immunocompromised patients,
including a prevalence of infection of up to 15% of patients with AIDS
(9, 21). The most common clinical manifestation of
C. neoformans infection, cryptococcal meningoencephalitis,
is usually incurable in immunocompromised patients despite antifungal
therapy (9, 21).
Fluconazole is currently the most widely used antifungal drug for
maintenance therapy because it can be given orally, lacks major
side effects, penetrates the central nervous system, and has
broad efficacy against most pathogenic yeasts, including C. neoformans (5, 9). It perturbs the biosynthesis of
ergosterol by blocking an alpha-14-demethylation step in the
biosynthetic pathway (5, 29). However,
fluconazole-resistant fungal pathogens are becoming increasingly common
(12, 13, 17, 24, 29, 30, 32).
The relationship between in vitro resistance to fluconazole as measured
by the MIC and clinical resistance as defined by treatment failure is
not clearly understood. In many studies describing treatment failures,
relapse isolates showed no increase in the MIC of fluconazole despite
long-term treatment (7, 22, 26; M. E. Brandt, M. A. Pfaller, R. A. Hajjeh, et al., for the
CDC Cryptococcal Disease Active Surveillance Group, Abstr. 37th
Annu. Meet. Infect. Dis. Soc. Am., abstr. 395, 1999). In
studies where molecular subtyping was performed, substantial
differences in MIC and genotypes were observed between some serial
isolates obtained before and during treatment with fluconazole,
suggesting the possibility that susceptible strains were replaced by
resistant, possibly exogenous strains (18, 28). In
contrast, other studies reported the recovery from single patients of
serial isolates with no detectable genotypic differences, and
antifungal susceptibility testing revealed stepwise (two- to fourfold)
increases in MIC over time (1, 3, 4, 13, 18, 22, 24, 26).
The objective of this study was to examine in vitro the patterns of
mutation to fluconazole resistance in C. neoformans, to help
clarify the observed clinical findings and to evaluate the use of the
MIC as a possible indicator for the development of resistance. We
defined fluconazole resistance in C. neoformans as an MIC of
To investigate these issues, we selected a set of 21 strains,
representing three serotypes (A, B, and D), from various geographic regions (9, 16). Eighteen strains were clinical isolates, two were isolated from the environment, and the origin of the other one
is unknown. These strains were chosen from an initial pool of 101 strains representing all five serotypes, A, B, C, D, and AD. These 21 strains did not grow at all on yeast morphology agar (YMA) plates with
8 µg of fluconazole per ml. The no-growth phenotype at this
concentration was necessary to estimate accurately the mutation rate to
resistance on plates with 8 µg of fluconazole per ml. Mutation rates
and the MICs for the mutants were measured and analyzed for all
strains. Furthermore, random amplified polymorphic DNA (RAPD), obtained
using two primers, was used to compare genotypes between mutants and
the original strains.
C. neoformans strains.
Strains used in this
study were obtained from two resources: the culture collection of the
Mycotic Diseases Branch at the Centers for Disease Control and
Prevention in Atlanta, Ga., and the Medical Mycology Research
Laboratory at the Duke University Medical Center in Durham, N.C.
Initially, 101 strains representing at least 20 multilocus enzyme
electrophoresis (MLEE) genotypes were screened (6-8). The
MLEE genotype codes and the number of strains from each genotype tested
in this study are presented in Table 1 (see below). Serotypes were
determined for each strain by a commercial kit (Iatron)
(16). For each strain, a single colony was suspended in
200 µl of sterile water by vortexing and 1 µl of liquid suspension
was streaked onto YMA (Difco, Detroit, Mich.) plates containing 8 µg
of fluconazole per ml. The plates were incubated for 48 h at
37°C and examined for evidence of growth under a microscope
(magnification, ×100). Twenty-one strains showed no growth on plates
with 8 µg of fluconazole per ml. This no-growth phenotype was
necessary for accurately estimating the mutation rate to fluconazole
resistance. For the other 80 strains, the fluconazole MICs for most
strains were lower than 8 µg/ml but the strains underwent growth with
at least one mitotic division per cell after plating. In addition, many
produced sporadic visible colonies, with frequencies in the range of
1/100 to 1/1,000. Because this extra growth can inflate the number of
cells plated, biasing our mutation rate estimates upward, the other 80 strains were not used in subsequent experiments. Table 2 (see below)
lists the geographic origins, isolation sites on hosts' bodies, and serotypes of the 21 strains selected for this study. Strains
CDC-MAS92-0368 and CDC-MAS92-0804 were serial isolates from CSF of the
same patient in Georgia. These two isolates have been described
previously (reference 7, patient RC20).
Susceptibility to fluconazole.
The MICs of fluconazole for
all strains were determined by a standard broth microdilution method,
M-27A, recommended by the National Committee for Clinical Laboratory
Standards (NCCLS) (23). The MICs for all strains were also
determined by a method based on the colony size (36). For
all strains, the MICs obtained from these two methods differed by no
more than a twofold dilution, confirming that the rapid and
statistically analyzable colony size method is comparable to the NCCLS
method for C. neoformans. Indeed, in this and a previous
study, we observed less variation among replicates in MICs determined
by the colony size method than in MICs determined by the standard NCCLS
protocol (36). However, to be consistent with most
publications, only the MICs determined by the NCCLS microdilution
method are presented (Table 2).
Rate of mutation to fluconazole resistance.
For each of the
21 strains, one 3-day-old colony was suspended in 500 µl of sterile
water. Cell density was determined using a hemocytometer, and the cell
suspension was aliquoted into six independent culture tubes, each of
which contained 10 ml of yeast extract-peptone-dextrose (YEPD) broth.
The typical inoculum size in each culture tube ranged from 1 × 104 to 2 × 104 cells. These cultures were
incubated at 37°C on a shaker at 250 rpm for 72 h. Cells were
then collected by centrifugation at 5,000 × g for 5 min. After the supernatant was discarded, the cells were washed twice
with 5 ml of physiological saline (0.9% [wt/vol] sterile NaCl) by
vortexing and recentrifugation. After the final wash, the cells were
resuspended in 1.0 ml of physiological saline. One microliter of the
final suspension was diluted, and the cells were counted in a
hemocytometer to determine the concentration of cells in each of the
six replicates for each strain. Appropriate dilutions were also plated
on YEPD agar to determine the concentrations of viable cells for each
culture. Both methods yielded the same results for each culture.
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.2.420-427.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Dynamic and Heterogeneous Mutations to Fluconazole
Resistance in Cryptococcus neoformans
ABSTRACT
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
INTRODUCTION
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
32 µg/ml by the NCCLS standard in vitro protocol (23).
Specifically, we were interested in the following questions. First, do
different strains vary in their rates of mutation to fluconazole
resistance? The answer to this question could explain why some
strains are and others are not associated with an increase in
fluconazole MIC during similar courses of antifungal treatment. Second,
in single-mutation experiments, will only small increases (two- to
fourfold) in MIC occur or will large increases in MIC develop (over
eightfold)? Third, will plating strains on medium containing 8 µg of
fluconazole per ml, a concentration that approximates the achievable
level in cerebrospinal fluid (CSF) (5, 32), lead to the
recovery of mutants for which the MICs are significantly greater than 8 µg/ml (e.g., 64 µg/ml)? Lastly, are strains with higher initial
fluconazole MICs (e.g., 2 to 4 µg/ml) more likely to develop
resistance than strains with low fluconazole MICs (e.g., 0.25 to 0.5 µg/ml)? Our expectation is that if a gradual, stepwise increase in
MIC is the main process involved in generating fluconazole resistance
in C. neoformans, we should observe a significant
correlation between the original MIC and the mutation rate and between
the original MIC and the MIC for the mutant. If the expectation is confirmed, measuring the MIC for an initial isolate might predict its
likelihood of becoming resistant to fluconazole after the initiation of
fluconazole treatment.
MATERIALS AND METHODS
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
where M is the number of mutants produced when
N0 cells increase in number to N cells.
MIC and the stability of putative mutants. To ensure that resistant phenotypes were genetically stable in the absence of fluconazole, resistant colonies from each plate were streaked on YEPD plates without fluconazole. These putative resistant mutants were incubated at 37°C for 24 to 48 h, and single colonies were picked to determine the MIC as described above (23, 36). When available, up to three randomly collected colonies were examined from each plate. For 10 random mutants, three tests up to 1 month apart from each other were performed to examine the overall stability of the MIC within and among mutants.
Comparison of DNA fingerprints of the original and mutant isolates by RAPD. Genomic DNA was extracted from all original isolates and selected mutants by a method described previously (35). Two oligonucleotides were used as single primers for PCR fingerprinting: (i) the OPA-03 oligonucleotide 5'-AGT CAG CCA C-3', and (ii) the OPA-17 oligonucleotide 5'-GAC CGC TTG T-3'. Both primers were obtained from Operon Technologies. Amplifications were performed in volumes of 25 µl containing 10 ng of genomic DNA, 10 mM Tris-HCl (pH 8.3), 50 mM KCl, 1.5 mM MgCl, 0.2 mM each dATP, dCTP, dTTP, and dGTP, 3 mM magnesium acetate, 10 ng of primer, and 1.5 U of AmpliTaq DNA polymerase. All PCRs were performed in a Perkin-Elmer thermal cycler (model 9700) with an initial denaturation of 97°C for 3 min followed by 45 cycles of 60 s at 93°C, 60 s at 36°C, and 120 s at 72°C and then a final cycle of 5 min at 72°C. Amplification products were separated by electrophoresis in 1.5% agarose gels in 1× Tris-acetate-EDTA (TAE) buffer for 13 h at 2 V/cm. PCR products were detected by staining with ethidium bromide (0.5 µg/ml) and visualized under UV light.
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RESULTS |
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Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
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Selection of strains.
Of the 101 strains initially screened,
21 showed no growth on YMA plates with 8 µg of fluconazole per ml
(Table 1). There were several interesting
features in Table 1. The five serotypes differed in their ability to
grow in the presence of 8 µg of fluconazole per ml. For example, all
13 serotype AD strains and 3 serotype C strains had some growth. In the
other three serotypes (A, B, and D), a variable proportion of strains
within each group displayed some growth. Within a serotype, different
MLEE genotypes had significantly different patterns of growth. For
example, in the presence of 8 µg of fluconazole per ml, 27 of the 31 ET-1 strains grew while none of the 5 ET-3 strains grew (Table 1).
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Initial fluconazole susceptibilities.
The initial MICs of
fluconazole for all 21 strains are presented in Table
2. The MICs ranged from 0.25 to 4 µg/ml. Two strains, MAS92-0037 and MAS92-0248, showed 16- and 8-fold
differences, respectively between these tests and those of Brandt et
al. (Abstr. Annu. Meet. IDSA). The MICs for other strains were
identical, or there was a two- to fourfold difference between the two
tests (Table 2). The two- to fourfold difference between independent tests of the same strain by different laboratories is considered acceptable by the NCCLS microbroth dilution protocol (20,
23). Two factors favored the use of MIC results from the present
study for subsequent analyses. First, in this study we also used the colony size method to determine the MICs for all strains. Results from
the colony size method are highly reliable and do not suffer the
disadvantages of the NCCLS method, such as high sensitivity to inoculum
age and size (36). Second, 10 of the 21 strains were not
previously tested for the fluconazole MIC.
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Mutation rate.
The mutation rates of the 21 strains were
examined. After 7 days of growth at 37°C on 8 µg of fluconazole per
ml, all distinctively visible colonies were scored as mutants. Table
3 presents the total number of cells
plated, the total number of mutants obtained, and the rate of mutation
to fluconazole resistance for each strain. The mean mutation rate of
all 21 strains was 301.82 × 10
9. However, the
standard deviation (SD) of the mutation rate was 762.55 × 109, over twice the value of the mean. When t
tests (27) were applied, many pairwise comparisons between
strains showed significantly different mutation rates (Table 3,
pairwise statistical test results not shown).
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9. In contrast, despite the large inoculum sizes,
three strains produced no mutants in any of the six independent
cultures (Table 3). These three strains were CDC-MAS92-0248 (serotype
A), CDC-B4496 (serotype B), and CDC-MAS92-0403 (serotype D). Two serial
strains, CDC-MAS92-0368 and CDC-MAS92-0804, from the same patient
showed no significant difference in mutation rate (Table 3).
There was also significant heterogeneity in mutation rate among the six
replicates of the same strains, as shown by the large SDs for many
strains in Table 3. For example, among the six replicates of strain
CDC-MAS92-0064, the mutation rates were 33.66 × 109, 52.44 × 109, 23.52 × 109, 48.30 × 109, 50.60 × 109, and 272.55 × 109. The SD among
these replicates was 94.90 × 109, which exceeded
the mean mutation rate of 80.18 × 109. Two other
strains, Y289-90 and Y290-90, also showed similar patterns with SDs
greater than their means. For the other 15 strains that produced
mutants, the SDs in mutation rates ranged from about 3 to 70% of the mean.
Fluconazole MICs and stability of putative mutants. Among the 3,668 mutants recorded (Table 3), a total of 252 random mutants were tested for the MIC of fluconazole. The 252 putative mutants included up to 3 from each of the six replicates of each original strain. All mutants grew on 8 µg of fluconazole per ml at 37°C when examined under a microscope (×100). The range and median of mutant MICs from each original strain are presented in Table 3.
Except for two mutants from the same replicate of strain CDC-MAS92-0368, the MICs for all mutants were elevated compared to those for their original strain. The increases in MIC were smaller for some mutants than for others. For example, one mutant from strain CDC-MAS92-0037 had a fluconazole MIC of 0.5 µg/ml, slightly higher than the MIC (0.25 µg/ml) for the original strain. Each of the other three mutants from CDC-MAS92-0037 had fluconazole MICs greater than 8 µg/ml. The MICs for multiple mutants from the same culture were usually within a twofold range. However, in some strains, the MICs for random mutants from the same culture were very different. For example, the MICs for three mutants from the same plate of strain Y286-90 were 4, 8, and 32 µg/ml. For most strains, mutants obtained from different replicates had different fluconazole MICs. However, there were exceptions. For instance, for all nine mutants from strain CDC-Y195-90, the MIC was the same, at 16 µg/ml. The median mutant MICs were not associated with serotype, geographic origin, or the original MIC (Tables 2 and 3). All 10 putative random mutants tested multiple times during a 2-month period exhibited the same fluconazole MICs by both the NCCLS and colony size methods. Therefore, these mutant phenotypes are genetically stable.Lack of correlation between the original MIC and the mutation
rate.
The extensive variation among the 21 strains in both the
fluconazole MIC and the mutation rate allowed us to determine whether there was any correlation between the original MIC and the mutation rate to fluconazole resistance (27). As shown in Fig.
1, this analysis showed no correlation
between the two variables among the 21 strains. When the data were
analyzed separately by serotype, no positive correlation was found
among the serotype A or D isolates (data not shown). Since only two
serotype B strains were represented in this study, no correlation
analysis was conducted for serotype B.
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Lack of significant correlation in fluconazole MICs between
original strains and their derived mutants.
Because fluconazole
MICs ranged widely among mutants from the same original strain, the
correlation analysis was done only between the median MIC for mutants
from each strain and the MIC for the original strain. The result of
this analysis is presented in Fig. 2.
This analysis demonstrated some correlation between these two MICs in
this set of 21 strains. However, this correlation is not statistically
significant (P > 0.10). Separate analyses of serotype
A and serotype D strains did not yield any significant correlation in
either group.
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DNA fingerprinting.
All 21 original strains and 252 mutants
were genotyped using RAPDs obtained with primers OPA-03 and OPA-17. A
representative picture of the PCR products is shown in Fig.
3. While there were some differences in
band intensity between certain pairs of strains, no unambiguous change
was observed when mutants were compared with their progenitors. This
analysis also indicated no cross-contamination between strains during
the multistep experimentation process.
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DISCUSSION |
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Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
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This study investigated the patterns of mutation to fluconazole resistance in 21 strains of C. neoformans representing three serotypes, A, B, and D. Significant heterogeneity in mutation rates was observed among strains as well as among replicates within a single strain. For this set of strains, no statistically significant correlation was found between the original MIC and the mutation rate to fluconazole resistance. Randomly isolated mutants from a single strain often exhibited a wide range of fluconazole MICs. The results suggest dynamic and heterogeneous processes of mutation to fluconazole resistance in C. neoformans.
Growth on 8 µg of fluconazole per ml. Significantly different patterns of growth on YMA with 8 µg of fluconazole per ml were observed among serotypes and among MLEE types within a serotype (Table 1). There might be two reasons for the different growth patterns. The first was due to the randomness of sampling. Aside from covering as many serotypes and genotypes as possible, the 101 strains initially screened were randomly picked from a total of over 400 strains. Whether the observed patterns of growth are representative for the whole collection or the global population of C. neoformans is unknown at present. The second possibility is that the different patterns of growth among serotypes and genotypes might reflect the underlying genetic differences among strains. For example, ET-1 is by far the most common MLEE type isolated from four regions in the United States (8). Compared to other MLEE types (e.g., ET-2 and ET-3), far more strains from ET-1 grew on 8 µg of fluconazole per ml (Table 1). Because the achievable fluconazole concentration in the CSF is estimated to be around 8 µg/ml, strains capable of growing on 8 µg of fluconazole per ml could have an advantage in the CSF compared with strains not able to grow, regardless of the MIC of fluconazole.
Discrepancies in MIC.
Two strains (CDC-MAS92-0248 and
CDC-MAS92-0037) showed very different fluconazole MICs in two
independent tests by two laboratories. There might be two reasons for
this discrepancy. First, it is well known that the NCCLS protocol is
sensitive to many factors, including the pH of the medium, the size and
age of the inoculum, and the incubation time (12, 23).
Differences in any one of these factors might influence the MIC reading
(12, 23). Second, during clonal propagation and transfers
between laboratories, random mutations occur. Some of these mutations
might influence the strain sensitivity to fluconazole. The second
possibility is rarely discussed but could be potentially important. For
example, assuming a random mutation rate of 109 per base
pair per cell division (2), with a genome size of about
23 × 106 bp in C. neoformans
(31), a colony with 107 cells could
potentially have 230,000 different genotypes, some of which might
differ in their sensitivity to fluconazole. Therefore, there is a
potential for generating new genotypes during every strain transfer
event. Indeed, significant genetic and phenotypic differences were
observed among clonal derivatives of a standard laboratory strain of
C. neoformans (14). These clonal derivatives had been asexually transferred and maintained by different laboratories for unknown numbers of generations (14). In our case,
given that we observed no growth on 8 µg of fluconazole per ml, the original MIC of 16 µg/ml for strain CDC-MAS92-0248 reported by Brandt
et al. (Abstr. Annu. Meet. IDSA) might represent a genetically different colony from the one we used in this study. Similar
possibilities could exist for strain CDC-MAS92-0037. Interestingly, no
mutant was recovered from strain CDC-MAS92-0248 after plating about
6 × 109 cells on 8 µg of fluconazole per ml (Table
3).
Rates of mutation to fluconazole resistance.
The results in
Table 3 indicated that some strains had very high mutation rates while
others produced no resistant mutants. The significant heterogeneity
among strains in mutation rates to drug resistance is similar to that
found in bacteria (19). In most bacteria, the baseline
mutation rate to antibiotic resistance is about 1 in 108
cells (19). However, mutator genotypes with high mutation
rates (105 and 106) were found in clinical
and natural samples of Escherichia coli and
Salmonella pathogens. Strains of C. neoformans
with high mutation rates found in this study might be similar to the
mutator genotypes found in bacteria.
5 to 106 per gene per generation
(11). Mondon et al. (22) observed seven
strains of C. neoformans with potentially very high
mutation rates (from 0.7 to 4.6%) to fluconazole resistance, one
strain from Israel and six serial isolates from an Italian patient with AIDS. In that study, single colonies in each of the seven strains were
shown to contain mixed populations of C. neoformans for
which the MICs were different, and some of the MICs exceeded 64 µg/ml (22). The six serial isolates from the Italian patient
showed an increasing percentage of cells resistant to fluconazole at 64 µg/ml, with a strain from the sixth isolation having 4.6% resistant cells compared to 0.7% for a strain from the first isolation
(22). However, the majority of resistant clonal
populations in their study reverted to susceptible after being
subcultured on drug-free media. Unlike their results, the MICs for the
mutants recovered in the present study were stable and the two serial
isolates (CDC-MAS92-0368 and CDC-MAS92-0804) from the same patient did
not have significantly different mutation rates (Table 3). However,
similar to the results of Mondon et al. (22), we observed
no obvious association between the mutation rate to fluconazole
resistance and serotype, geographic origin, or site of isolation.
These results are the first to demonstrate in vitro that resistance to
fluconazole (MIC, 32 µg/ml) can emerge in strains of C. neoformans selected on 8 µg of fluconazole per ml. Although we
are unable to accurately assess mutation rates to fluconazole resistance or range of fluconazole MICs in vivo, the results are consistent with the hypothesis that resistant strains for which the
MICs are 32 µg/ml could arise in the CSF, possibly through a single
mutation. When such an in vivo method becomes available, correlation
between the in vitro mutation rate and the in vivo rate could be
examined. If strong correlation exists, it might be possible to use the
in vitro mutation rate measurements to predict the development of
resistance in vivo and therefore improve clinical treatment with fluconazole.
The lack of a significant positive correlation between MIC and mutation
rate is surprising. In addition, the MICs for the mutants were not
significantly correlated with the MICs for the original strains (Tables
1 and 2; Fig. 2). Neither result is completely consistent with the
hypothesis that fluconazole resistance develops through a process
of stepwise or gradually increasing the MIC. Alternatively, the lack of
correlation is consistent with the hypothesis that (i) there may be
many mutational processes, some of which can increase the MIC
dramatically, and (ii) mutation to fluconazole resistance is
heterogeneous and dynamic in C. neoformans.
MIC and stability of mutants. In this study, mutants obtained from a single strain often exhibited a wide range of fluconazole MICs. Many mutants derived from eight strains (Tables 2 and 3; CDC-MAS-92-0037, CDC-MAS-92-0064, CDC-MAS-92-0368, CDC-MAS-92-0804, CDC-Y195-90, E275, CDC-Y286-90, and CDC-Y290-90) demonstrated small increases (two- to fourfold) in fluconazole MIC above those for the original isolates. This finding is consistent with the hypothesis of small increases of MIC in single mutation experiments, as observed among serial isolates following treatment with fluconazole (1, 4, 13, 24, 29; Brandt et al., Abstr. Annu. Meet. IDSA). However, large increases (8- to 64-fold) in MIC over those for the original strains were also observed for many mutants, including some mutants from the eight strains mentioned above (Tables 2 and 3). It is likely that these different patterns of increased fluconazole MIC reflect different underlying mutations. Some mutations may cause major effects on fluconazole resistance, and others may cause small effects. The genetic basis of these differences is currently under investigation.
The results in Table 3 also suggest that some strains are capable of producing transient physiological adaptations or tolerance to fluconazole. Transient fluconazole resistance has been reported in Candida albicans by Marr et al. (20). In our study, strains CDC-MAS92-0037 and CDC-MAS92-0368 produced putative mutant colonies, but the MICs for these mutants were only 0.5 and 1 µg/ml, respectively. Despite the low MICs, these two mutants were capable of growing on YMA plates with 8 µg of fluconazole per ml, albeit very slowly. However, when more than 104 cells of these transient mutants were plated, no visible colony could be recovered after 72 h. Therefore, these transient mutations are probably different from the heteroresistant mutations found by Mondon et. al. (22). Alternatively, phenotypic switching might have contributed to the transient physiological adaptations. Different colony morphology types resulting from phenotypic switching in three strains of C. neoformans were found to differ in their susceptibility to fluconazole (15). However, unlike the three discrete colony morphology types found by Goldman et al. (15), colony morphology among some mutants in this study was continuous and difficult to quantify. Further experiments are required to investigate whether these transient adaptations were the results of phenotypic switching. The ability to undergo transient physiological adaptation and limited growth on 8 µg of fluconazole per ml could be important in allowing pathogens to survive and reproduce in CSF during fluconazole therapy. These adaptations might serve as intermediate stages or transition states that ultimately lead to the generation of stable resistant mutants.Clinical relevance. Successful fluconazole treatment of C. neoformans infections is influenced by both host factors (e.g., CD4 counts) and pathogen characteristics (9, 21). Under the same host conditions, infections with resistant strains will be harder to treat than those with susceptible strains. The heterogeneity in mutation rate and the wide range of MICs for mutants within and among strains found in this study are therefore relevant to empirical observations of various clinical outcomes in the treatment of cryptococcosis with fluconazole (9). Quantitative cultures of CSF are not routinely performed in clinical practice, but when they are performed, the yeast concentration is generally around 104 to 105 CFU/ml of CSF (25). Because the total volume of CSF in a host is between 130 and 150 ml (34), the total CFU in the CSF would be about 107, assuming that the yeasts are evenly distributed. Assuming a random mutational process and the rate of mutation as observed in this study (Table 3), mutation to fluconazole resistance might not be common or observable in the majority of clinical cases, as has been found in many studies (7, 18, 26, 33; Brandt et al., Abstr. Annu. Meet. IDSA).
In the absence of stable resistant mutations, transient physiological adaptations might occur. These adaptations could allow the infecting populations to survive and reproduce in vivo during fluconazole therapy. Even without transient physiological adaptations, the majority (27 of 31 [87%] in Table 1) of members of the most commonly recovered MLEE genotype (ET-1) could reproduce without mutation on plates containing 8 µg of fluconazole per ml. Therefore, mutation to resistance might not be necessary for these strains to survive and reproduce in hosts during fluconazole treatment. Furthermore, in the presence of mutations to fluconazole resistance, if the resistant mutants were not sufficiently competitive with the susceptible progenitors for in vivo survival and reproduction, they could be selectively purged by various host factors. Our results are therefore consistent with cases of treatment failures and relapses where the MIC for the relapse strain(s) was not elevated compared to the MIC for the pretreatment strain(s) (7, 10, 18, 26, 33). In cases where genetically different strains were isolated before and after treatment with fluconazole (18, 28), the original strains might have had very low mutation rates and been unable to survive during fluconazole treatment. Subsequent reinfection by a more resistant or tolerant strain or by a strain with a higher mutation rate would explain changes in both the fluconazole MIC and the genotype of C. neoformans. Of the 21 strains analyzed here, 3 never developed resistant colonies, despite plating over 4.93 × 109 cells per strain (Table 3). Alternatively, the original infecting population might be heterogeneous, containing both susceptible and resistant subpopulations. Before fluconazole therapy, the fluconazole-susceptible subpopulation might dominate. The administration of fluconazole could select for the resistant subpopulation. Our in vitro results support the concept that subpopulations with different fluconazole MICs may exist in a clonal population derived from a single colony (see Results) (Table 3). The results presented here clearly demonstrated that resistance to fluconazole in C. neoformans (MIC,32 µg/ml) could
develop after exposure to 8 µg of fluconazole per ml in vitro. The
acquisition of this level of resistance (MIC, 32 µg/ml) did not
require a stepwise (two- to fourfold) increase of MIC for 8 of the 21 strains. It should be emphasized that while the concentration of 8 µg/ml is the level of fluconazole achievable in the CSF (5,
32), the in vitro concentration of 8 µg/ml on solid and in
liquid medium might not correspond to the in vivo situation.
Unfortunately, there is currently no satisfactory method to accurately
measure mutation rates to antibiotic resistance in vivo for any human pathogen.
Conclusions. This study demonstrated that mutation to fluconazole resistance in C. neoformans in vitro is a dynamic and heterogeneous process. Significant heterogeneity in the mutation rate and the fluconazole MIC for mutants exist among strains as well as among replicates of the same strain. The results indicate that strains with higher fluconazole MICs (e.g., 2.0 to 4.0 µg/ml) are not necessary more likely to develop fluconazole resistance on 8 µg of fluconazole per ml than are strains with lower fluconazole MICs (e.g., 0.25 to 0.5 µg/ml). The results here are only partially consistent with the hypothesis that the development of fluconazole resistance in human pathogenic fungi is a gradual, multistep process. Multiple mechanisms of mutation to drug resistance in C. neoformans are likely. Whether the observed significant differences in mutation rates among strains in vitro are reproducible in vivo awaits investigation.
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ACKNOWLEDGMENTS |
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This research was supported by Public Health Service grants AI 25783 and AI 44975 from the National Institutes of Health.
We thank Tarek Hanna for technical assistance and Mary Brandt for providing strains and for her critical comments on an earlier version of the manuscript. Some of the CDC strains were collected through the CDC Cryptococcal Active Surveillance, a population-based active surveillance for cryptococcal disease. This laboratory is a component of the Duke University Mycology Research Unit.
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FOOTNOTES |
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* Corresponding author. Present address: Department of Biology, McMaster University, Hamilton, Ontario, Canada L8S 4K1. Phone: 1-905-525-9140 ext. 27934. Fax: 1-905-522-6066. E-mail: jpxu{at}mcmaster.ca.
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REFERENCES |
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Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
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Antimicrobial Agents and Chemotherapy, February 2001, p. 420-427, Vol. 45, No. 2
0066-4804/01/$04.00+0 DOI: 10.1128/AAC.45.2.420-427.2001
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