Next Article 
Journal of Clinical Microbiology, August 1998, p. 2169-2172, Vol. 36, No. 8
0095-1137/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
MINIREVIEW
Preventing Antibiotic Resistance through Rapid Genotypic
Identification of Bacteria and of Their Antibiotic Resistance
Genes in the Clinical Microbiology Laboratory
Michel G.
Bergeron* and
Marc
Ouellette
Centre de Recherche en Infectiologie de
l'Université Laval and Division of Microbiology, Faculty of
Medicine, Université Laval, Québec, Canada G1V 4G2
 |
INTRODUCTION |
The emergence of drug resistance in
microorganisms is a serious problem, and several strategies have been
proposed to try to tackle it. Prevention should be the ultimate
solution, and vaccines have been suggested as a strategy that can be
used to slow down the emergence of drug resistance by decreasing the
infection rate and hence antibiotic usage (15).
Unfortunately, we are far from this ideal. Broad surveillance programs
(22) and education of clinicians, pharmacists,
veterinarians, drug company representatives, and the public about the
spread of antimicrobial resistance and the consequences of
antibiotic misuse should also have a significant impact
(21). Restrictive use of newer and broad-spectrum
antibiotics has also been applied and advocated. Strict
application of therapeutic guidelines might also be useful.
Another strategy is to increase our understanding of the biochemical
basis of antimicrobial resistance mechanisms which should suggest
preventive and therapeutic strategies for overcoming resistance (17). The understanding of resistance mechanisms is also
necessary for the development of the tools necessary to detect
resistance by methods other than phenotypic testing, which now includes
disc diffusion or dilution tests (MIC tests) to evaluate the
susceptibilities of microbes to antibiotics. We advocate that rapid
(
1 h) identification of microorganisms should literally modify
the habits of the prescribers and contribute to a reduction of
the dissemination of antimicrobial resistance. While most DNA-based
tests are presently used to identify viruses or bacteria whose
identification is tedious, like Mycobacterium tuberculosis
or chlamydia, we are suggesting that the time is ripe for the use of
these tests to identify bacteria causing common and deadly bacterial
diseases. We believe that the simultaneous rapid genotypic
identification of bacteria and their antibiotic resistance genes will
have a major impact on the treatment of infectious diseases while
contributing to a better control of antimicrobial resistance
(14).
Speed is the essence when one deals with bacterial infections. Although
the Gram stain can sometimes be helpful, presently, diagnosis in the
clinical microbiology laboratory is only confirmatory because a
clinical decision has been made long before (usually 48 h) the
identity of the organism responsible for the infection and its
susceptibility to antibiotics become available. With the actual
state-of-the-art technology, which dates back to the last century, we
cannot even tell accurately before 18 to 24 h whether a clinical
sample has bacteria or not. This is of importance because no bacteria
can be grown out of more than 80% of all normally sterile clinical
samples sent to clinical microbiology laboratories (4). The
lack of a timely response by the laboratory has consequences on
antibiotic usage and prescription. Patients must be treated empirically. When severe or nosocomial infections are suspected, they
are often treated with broad-spectrum antibiotics. The increased use of
broad-spectrum antibiotics is not restricted to hospitalized patients
in intensive care units or patients seen in emergency rooms, however.
Indeed, a recent American survey has indicated that toxic and expensive
broad-spectrum antibiotics are prescribed more frequently for the
treatment of common infections by office-based physicians
(14). Clearly, with 80% of normally sterile specimens received in the microbiology laboratory not growing any microorganism, several patients are receiving antibiotics even if they do not have a
bacterial infection because there are no accurate ways of determining
before the next day whether the clinical sample harbors bacteria. In
line with this latter argument, a recent study in Spain has indicated
that on any particular day, the number of antibiotic prescriptions
exceeded by three times the number of bacterial infections diagnosed
(3). Moreover, microbiologic results are available so slowly
that physicians rarely consult them unless the patient is not
responding to the given antibiotic. If physicians could have in hand
the identity of the microorganism and its resistance profile from the
microbiology laboratory at the same time that they have the
biochemistry and hematology results, antibiotic prescription rates
could go down dramatically, and when antibiotics are needed, more
targeted and inexpensive antibiotics could be used. On the other hand,
whether you are using phenotypic or genotypic identification systems,
the presence of bacteria or even the absence of bacteria in the
clinical specimens does not necessarily mean the presence or the
absence of infection because clinical judgment should always prevail.
 |
RAPID IDENTIFICATION OF MICROORGANISMS AS A MEANS OF DECREASING THE
EMERGENCE OF ANTIMICROBIAL RESISTANCE |
The advances in sample preparation, DNA-based amplification
techniques, and product detection have evolved to the extent that it is
now possible to identify microorganisms directly from clinical specimens in 1 h (13). Moreover, as these DNA-based
tests evolve, their sensitivity will allow the detection of a single
copy of the genome of a microorganism. If the precise identification of the microbial agents responsible for infections were available within
1 h when the results of other laboratory tests are available to
the physician, it would have a major impact on the management and
treatment of patients. The use of universal probes based either on the
rRNA gene (11) or on some other conserved region of
microorganism genomes should indicate whether or not the patient is
infected with a bacterium. Because more than 80% of normally sterile
clinical specimens (blood, cerebrospinal fluid, joint fluid, etc.) sent to the microbiology laboratory are not "infected" or do not harbor bacteria (4), the use of universal primers should permit
determination in 1 h of whether or not the patient suffers from a
bacterial infection. Obviously, universal probes would not be useful
for sputum or surgical wound specimens or specimens from other
nonsterile clinical sites. Provided that appropriate controls are
included and relevant sensitivity is reached, the absence of
amplification products would suggest the absence of bacterial
infections and the use of antibiotics could be avoided. In contrast,
the detection of an amplification product with universal primers would
indicate that a bacterium is present. However, it would not provide
information on the nature of the bacterium and hence on the antibiotic
to be used. Therefore, universal primers are useful for screening negative samples but are of limited value for orienting the choice of
antibiotics in the case of a positive reaction.
There are now specific DNA probes or amplification primers for almost
every relevant pathogenic organisms (8, 26), and these
primers can be used to identify the bacteria present in clinical
specimens. Because multiple bacteria can be isolated from different
sites, it would be advisable to carry out reactions under multiplex
conditions, i.e., with more than one pair of primers per reaction. It
would be possible to discriminate the amplicon either by size on
agarose gel electrophoresis or with a different fluorochrome if
fluorescence was to be used as the detection method. It should also be
possible to decrease substantially the number of primers by generating
genus-specific or even group-specific PCR primers. This approach has
the benefit on the one hand of decreasing the complexity of the
amplification reactions and on the other of increasing the proportion
of bacteria detected. With group-, genus-, and species-specific
amplification primers it should be possible to detect most
microorganisms responsible for any type of infection. Nevertheless,
there will always be the rare uncommon pathogen that is responsible for
an infection but that may not be detected with the available primers.
Because the universal primers would have detected the presence of an
infection but none of the genus- or species-specific primers would have produced an amplification product, it would indicate that the infection
is due to an uncommon pathogen. In those rare instances, culture may be
requested if species determination was thought to be useful, but with
time, most microorganisms could be identified by DNA-based tests. Rapid
bacterial identification would be of major benefit to the clinician,
but because the antibiotic susceptibility profile is an important
parameter in the management of infections, we believe that a rapid
identification system will fully blossom only when both bacterial
identification and the resistance profile are provided simultaneously.
 |
FROM PHENOTYPIC TO GENOTYPIC TESTING OF RESISTANCE |
Presently, susceptibility (in contrast to resistance) is the
parameter provided to clinicians. Although the phenotypic technique of
susceptibility testing is relatively simple, it requires bacterial isolation, and hence, the result is not available until 2 days after a
treatment is started. The phenotypic approach also has some
shortcomings; since different bacterial species have different susceptibilities to the same antibiotics, breakpoints of different values must be tested. There is also no international agreement for the
interpretation of breakpoints in antibiotic susceptibility tests.
Finally, several of the presently performed susceptibility tests are
highly dependent on experimental conditions, and often, more than one
method would need to be performed to obtain an accurate susceptibility
profile. If we take only
-lactam antibiotic testing as an example,
special precautions must be taken for testing for penicillin
resistance in Streptococcus pneumoniae, for methicillin resistance in Staphylococcus aureus, and for the presence of
extended-spectrum
-lactamases in members of the family
Enterobacteriaceae.
To increase the rapidity and accuracy of resistance testing, the use of
a genotypic approach has recently been advocated (6, 23),
and numerous DNA-based assays for the detection of bacterial resistance
have been developed (1, 19). This novel approach is a true
revolution because it relies on a completely different concept; testing
for resistance instead of testing for susceptibility. Several clinical
studies will be required, however, to validate the genotypic approach.
Indeed, is the presence of a resistance gene always indicative of a
resistant bacterium? If a gene coding for a resistance to a drug is not
detected, does it mean that the bacterium is susceptible to that drug?
One stumbling block in using DNA-based assays for resistance testing is
the formidable complexity of resistance mechanisms. Drug resistance may
arise because drug uptake may be thwarted by loss of the uptake system or alteration of the membrane composition; once the drug is inside the
cell it may be inactivated or excreted (modified or not), or if drug
activation is required, activation mechanisms may be suppressed.
Drug-microbial target interactions may be less effective because the
target is modified or alternative pathways may bypass the blocked
target. Resistance to the same drug can be due to several different
mechanisms. For example, resistance to
-lactam antibiotics can be
due to decreased uptake, increased efflux, inactivation enzymes, or
modified target. Furthermore, there are several different enzymes that
can confer resistance by the same biochemical pathway. For instance,
several dozen plasmid-mediated
-lactamases confer resistance by
inactivating
-lactam antibiotics. Nevertheless, as our understanding
of drug resistance mechanisms increases, we should be able to generate
the appropriate tools to detect resistance. In addition, new resistance
genes will undoubtedly arise in bacteria in the future. To prevent the
possibility that a clinician could unknowingly use an antibiotic to
which the organism is resistant, continuously updated epidemiological
studies would help in the selection of the right set of primers for the
detection of relevant new types of resistance in particular organisms.
Finally, technological innovations in DNA-based diagnostics should also allow the detection of multiple alleles or genes at once.
Although the multiplicity of resistance mechanisms will complicate the
detection of the resistance genotype for certain specimens, there are
clear cases in which detection of resistance could easily be
implemented and could have an immediate impact on the treatment of
infectious diseases. Molecular diagnostic methods have already found a
niche in the clinical microbiology laboratories where they are used.
The detection of antibiotic resistance genes in gram-positive bacteria
should also be relatively easy. Indeed, resistance to key antibiotics
such as methicillin and vancomycin is due to few genes. This small
heterogeneity of resistance determinants is in contrast to the
situation prevailing in several gram-negative bacteria. Methicillin
resistance in S. aureus and coagulase-negative staphylococci
is due to the synthesis of a novel penicillin-binding protein encoded
by the mecA gene. Resistance to methicillin has important
implications, often necessitating patient isolation and the use of
vancomycin. However, despite numerous guidelines for optimization
of the phenotypic detection of methicillin resistance, it is
becoming increasingly clear that mecA detection is
becoming the "gold standard" for the detection of methicillin
resistance (25). All the studies reported to date
indicate an excellent correlation between the presence of the
mecA gene and methicillin resistance (19). In
mecA-positive staphylococci, the use of vancomycin is
warranted. When mecA is absent, cells could exhibit intermediate levels of methicillin resistance due to overexpression of
a
-lactamase. In these cases, however,
-lactam antibiotics or
-lactam-
-lactamase inhibitor combinations would likely be more
effective and appropriate than vancomycin. Several multiplex PCR assays
that permit both S. aureus identification and
mecA detection have been developed, and some reports have
described the utility of those tests directly with positive blood
culture vials (5, 24). The rapid identification of
mecA should restrict the use of vancomycin and hence the
emergence of resistance to this drug of last resort.
Indeed, resistance to vancomycin is now widespread in enterococci
(10), and there are now enterococci that seem to have become resistant to all currently available antibiotics. There is
(justified) concern that the vancomycin resistance genes could transfer from enterococci to staphylococci. Transfer has already been
shown to occur under laboratory conditions (16), and one of
the vancomycin resistance genes was recently observed in streptococci (20). Rapid detection of vancomycin-resistant enterococci
(VRE) would permit prevention measures including the isolation of
infected patients to reduce the possibility of transmission of VRE to
other hospitalized patients. Resistance to vancomycin is due to
van genes, whose products are similar to
D-alanine:D-alanine ligases, enzymes involved
in cell wall biosynthesis. Three genes, vanA, vanB, and vanC, contribute to vancomycin
resistance (10). Amplification assays for the detection of
van genes have been developed (7, 18), and the
introduction of these techniques into the routine clinical laboratory
could have major implications on patient management. The Centers for
Disease Control and Prevention has recommended that patients infected
with VRE be isolated. The rapid simultaneous identification of
enterococci and their antibiotic resistance genes would be a useful
epidemiological tool. Because the vanC gene is not
transferable and the vanA and vanB genes are
transferable, these new genotypic tools could be useful for tracing the
spread of resistance between microbes.
As observed in many gram-negative bacteria, when more than one gene can
cause resistance to a class of drug, it is possible to use multiplex
reactions to decrease the complexity of the test. Some of the genes are
sufficiently closely related that a set of amplification primers can be
used to amplify several members of the same family of resistance genes
(2), and this should be another strategy for decreasing the
complexity of the amplification reactions. Clearly, an improved method
of detecting the amplification products, such as tests with matrix
hybridization chips (9, 12), should permit the detection of
multiple mutations in a single reaction. Taken together, all these
arguments make us believe that genotypic detection of resistance is
possible.
The development of rapid diagnostic identification methods and
genotypic resistance testing at a competitive price should greatly
reduce the emergence of drug resistance. This will be achieved by
prescribing antibiotics only to the patients who require them. Because
the bacteria will be identified rapidly, targeted antibiotics will be
used and broad-spectrum antibiotics will be used only when dealing with
resistant organisms. These tests would appropriately and rapidly
identify the patients who should be isolated to prevent the disastrous
spread of multidrug-resistant organisms within institutions. It should
thus prevent the unnecessary isolation of patients suspected of
carrying VRE, methicillin-resistant S. aureus, or other
resistant pathogens. On occasion, emergency rooms and hospitals had to
be closed in Canada pending the phenotypic identification of these
pathogens and the results of susceptibility tests. The continuing
implementation of molecular tests in the routine microbiology
laboratory will contribute to a definitive diagnosis and should have a
major impact on the clinical management of infectious diseases. It
would also reduce global health care costs and, it is hoped, save lives
while contributing to a major reduction in the spread of antibiotic
resistance.
 |
ACKNOWLEDGMENTS |
Marc Ouellette is a research fellow from the FRSQ and is the
recipient of a Burroughs Wellcome Fund New Investigator Award in
Molecular Parasitology. Michel G. Bergeron is recipient of a Fonds de
la Recherche en Santé du Québec (FRSQ) grant on
antimicrobial resistance.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Centre de
Recherche en Infectiologie de l'Université Laval, CHUQ,
Pavillon CHUL, 2705 boul. Laurier, Ste-Foy, Québec G1V 4G2,
Canada. Phone: (418)-654-2705. Fax: (418)-654-2715. E-mail:
Michel.G.Bergeron{at}crchul.ulaval.ca.
 |
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Journal of Clinical Microbiology, August 1998, p. 2169-2172, Vol. 36, No. 8
0095-1137/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
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