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Antimicrobial Drug Resistance: “Prediction Is Very Difficult, Especially About the Future”1 Patrice Courvalin*

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Antimicrobial Drug Resistance: “Prediction Is Very Difficult, Especially About the Future”1 Patrice Courvalin* Antimicrobial Drug Resistance: “Prediction Is Very Difficult, Especially about the Future”1 Patrice Courvalin* Evolution of bacteria towards resistance to antimicro- these drugs; a notion reinforced by the observation that bial drugs, including multidrug resistance, is unavoidable resistance is slowly reversible (3,4). because it represents a particular aspect of the general Therefore, attempting to predict the future of the rela- evolution of bacteria that is unstoppable. Therefore, the tionship between antimicrobial drugs and bacteria is con- only means of dealing with this situation is to delay the ceptually challenging and potentially useful. For the sake emergence and subsequent dissemination of resistant bac- teria or resistance genes. Resistance to antimicrobial drugs of convenience, the examples will be taken mainly from in bacteria can result from mutations in housekeeping the work carried out in the author’s laboratory, although structural or regulatory genes. Alternatively, resistance can numerous other examples can be found in the literature. result from the horizontal acquisition of foreign genetic The clinically relevant predictable resistance types are information. The 2 phenomena are not mutually exclusive listed in the Table. Although they have not yet been report- and can be associated in the emergence and more efficient ed, they may exist in nature; their apparent absence is, at spread of resistance. This review discusses the predictable least for some of them, rather surprising. For example, future of the relationship between antimicrobial drugs and streptococci, including pneumococci and groups A, C, and bacteria. G, can easily acquire in vitro conjugative plasmids from enterococci and stably maintain and phenotypically ver the last 60 years, bacteria and, in particular, those express them (5). Therefore, it is all the more surprising Opathogenic for humans have evolved toward antimi- that genes commonly found on plasmids in the latter bac- crobial drug resistance. This evolution has 2 key steps: terial genus, such as bla for penicillinase production and emergence and dissemination of resistance. aac6′-aph2″ for resistance to nearly all commercially Humans cannot affect emergence because it occurs by available aminoglycosides, have not yet emerged in strep- chance and represents a particular aspect of bacterial evo- tococci. The situation is even more unusual for Listeria lution. Emergence can result from mutations in housekeep- spp., which remain susceptible to most antimicrobial drugs ing structural or regulatory genes or from acquiring foreign even though they can acquire plasmids from both entero- genetic information. However, much can be done to delay cocci and staphylococci (6). However, the obligate intra- the subsequent spread of resistance. Dissemination can cellular existence of Chlamydia spp. likely protects them occur at the level of the bacteria (clonal spread), replicons from contact with foreign DNA and accounts for their (plasmid epidemics), or of the genes (transposons). These retained susceptibility to antimicrobial drugs. 3 levels of dissemination, which coexist in nature, are not only infectious but also exponential, since all are associat- How To Anticipate Resistance ed with DNA duplication. Clonal dissemination is associ- One should distinguish “natural” antimicrobial drugs ated with chromosome replication, plasmid conjugation (e.g., kanamycin), which are produced by microorganisms with replicative transfer, and gene migration with replica- from the environment, from semisynthetic (e.g., amikacin) tive transposition (1). The spread of resistance has repeat- and entirely synthetic compounds (e.g., quinolones), edly been shown to be associated with antimicrobial drug which are produced, at least in part, by humans. The use (2), which stresses the importance of the prudent use of microorganisms that produce natural antimicrobial drugs *Institut Pasteur, Paris, France 1Niels Bohr. Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 11, No. 10, October 2005 1503 PERSPECTIVES antimicrobial drugs in animal feed also leads to the selec- tion of a pool of resistance genes that can be transferred to commensal bacteria in the human digestive tract and thus ultimately to human pathogens, even when selective pres- sure is absent (10). In the case of mutations, predictions can be supported by 2 types of experimental approaches: in vivo with intact bacteria or in vitro by using DNA. Mutations resulting in resistance can be obtained in an accelerated fashion by using hypermutators, that is, bacteria deficient in the DNA repair system (11). Mutations are also accumulated by using continuous cultures, preferably in chemostats under suitable selective pressure. A similar enhanced rate of evo- lution can be obtained by (saturated) DNA mutagenesis, followed by transformation into an appropriate host. This technique, for example, was used successfully to study the have to protect themselves from the products of their own extent of variations in penicillinase genes that generate secondary metabolism. To ensure their survival, these extended-spectrum β-lactamase agents (12). organisms have developed self-protection mechanisms similar to those found in resistant human pathogens (7); Pathways to Resistance this observation led to the idea that the producers consti- tute the pool of origin of certain resistance genes (8). Modulation of Gene Expression Therefore, the study of resistance in the strain used for the In addition to developing mutations in structural genes industrial production of an antimicrobial agent could allow for drug targets, bacteria can become resistant after muta- a strong prediction about the mechanism that will be found tional events in motifs for gene expression, such as pro- later in bacteria pathogenic for humans. For example, the moters (13), in regulatory modules, such as 2-component study of glycopeptide producers would have allowed the regulatory systems (14), or positioning upstream from a elucidation, long before it actually occurred, of the mech- gene of a mobile (15,16) or stable (17) promoter. Enhanced anism by which enterococci and, more recently, staphylo- expression of genetic information can also be caused by cocci could become resistant to these drugs (Figure 1). alterations in translation attenuation (18). The DNA As already noted, bacteria are resistant to antimicrobial regions involved in gene regulation are not always adja- drugs after horizontal DNA transfer or mutations. Thus, cent to the target gene. This factor makes finding regulato- another prediction that can be made is that bacteria will ry mutations more complicated and makes detecting transfer to susceptible species, resistance determinants resistance by this mechanism generally impossible by already known in other bacterial genera, for example, the genotypic techniques (19). recent acquisition of glycopeptide resistance by Staphylococcus aureus from Enterococcus spp. (9). However, this prediction is limited since it refers to mech- anisms that have already been explained. In addition to being antimicrobial agent producers, the commensal bacte- ria of mammals, particularly those in the gut, also repre- sent a pool of origin for resistance genes. When infections are treated with an antimicrobial agent, all bacteria in the host are affected, including the commensal flora, which could result in the selection of resistant commensals, par- ticularly in children who are administered oral antimicro- bial drugs too frequently. Large numbers of these resident Figure 1. Comparison of the van gene cluster from the glycopep- bacteria are present in the digestive tract where they are tide producer Streptomyces toyocaensis (32) and of the vanA often in transient, but intimate, contact with exogenous operon (33) from gram-positive cocci. Open arrows represent cod- microorganisms that are in various developmental states, ing sequences and indicate direction of transcription. The guano- sine plus cytosine content (% GC) is indicated in the arrows. The including competence. These conditions favor the transfer percentage of amino acid (aa) identity between the deduced pro- of genes by transformation and by conjugation. Including teins is indicated under the arrows. 1504 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 11, No. 10, October 2005 Antimicrobial Drug Resistance Dissemination by Transformation Trapping Dissemination by transformation is more likely in The mechanism of trapping, already mentioned in the spontaneously transformable bacterial species such as case of resistance to β-lactam agents by a combination of Streptococcus pneumoniae, Acinetobacter spp., and β-lactamases, allows titration of the drugs, an alternative to Neisseria spp. These bacteria can easily acquire, integrate, impermeability, for lowering the intracellular concentra- and express stretches of DNA. Since the latter can include tions of the antimicrobial drugs. This mechanism also portions of foreign chromosomes, this process renders works against aminoglycosides in bacteria that overpro- chromosomal mutations infectious (20). duce an enzyme that has affinity for a drug they cannot inactivate since it lacks the modification site (Figure 2) Combination of Mechanisms (27,28). This mechanism has also been proposed to account Because of increased activity or the expanded spectrum for low-level resistance to glycopeptides in staphylococci of certain drug classes (e.g., β-lactam agents and fluoro- by overproducing target sites in the outer
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