ABSTRACT
Bacterial persistence increases therapy duration, disease relapse, and antibiotic resistance. Mechanisms underlying persistence and feasible ways to rapidly eliminate persister cells are largely unknown. The present work examined genetic and environmental perturbations to identify anti-death events occurring in Escherichia coli persister and phenotypically tolerant cells. The quiescent status of hipA7 and metG2 persister cells, which were protected from killing by multiple antibiotics, was insensitive to the presence/absence of exogenous nutrients. In contrast, stationary-phase and nutrient-starved wild-type cultures, which displayed tolerance rather than the subpopulation status of persistence, were readily killed by ciprofloxacin upon restoration of nutrients, thereby indicating that tolerance was phenotypic. Both persistent and tolerant cells suppressed accumulation of reactive oxygen species (ROS), DNA breakage, and global metabolic activity. Restoration of nutrients to stationary-phase cultures restored these three processes for phenotypically tolerant cells but not for persister cells. Cultures of high-frequency-persistent hipA7 and metG2 mutants and low-frequency-persistent wild-type cells were rapidly sterilized by ROS-independent, synergistic membrane disruption using aminoglycoside-polymyxin combinations; rapid eradication occurred at clinically achievable concentrations for both antibiotics. The aminoglycoside-polymyxin combination also killed environmentally tolerant cells but more slowly. The combination killed both laboratory and clinical isolates of gram-negative bacteria, an E. coli ptsI mutant that is pan-tolerant to diverse antibiotics and disinfectants, and E. coli cells in a biofilm model. Moderate lethality was observed with the gram-positive bacterium Staphylococcus aureus. The work indicates that suppression of ROS accumulation is a common feature of persistence and phenotypic tolerance, and it emphasizes ROS-independent strategies for controlling quiescent bacterial populations.
IMPORTANCE
The report generalizes the concept that persistence and tolerance involve suppression of toxic metabolites (reactive oxygen species [ROS]). The work also shows that an environmental perturbation (nutrient deprivation) leads to antibiotic tolerance rather than persistence, thereby raising questions about the classification of other environmental perturbations. The synergistic action of multiple aminoglycoside species with polymyxins opens many treatment options. Lethality with biofilms and with S. aureus may extend polymyxin-based therapies beyond planktonic, gram-negative bacteria, and the ROS independence of the combination may allow antioxidant mitigation of drug toxicity. Overall, the work advances our knowledge of persistent and tolerant bacterial pathogens and our efforts to eradicate them.
KEYWORDS: antibiotic, cell death, persistence, tolerance, reactive oxygen species, membrane damage
INTRODUCTION
Globally, bacterial infections have reached a crisis state due to an increasing prevalence of antibiotic failure and bleak prospects for finding new antibiotic classes (1). Failure falls into two general categories: resistance (absence of growth inhibition by antibiotics) and persistence/tolerance (absence or delay of killing by antibiotics with no effect on growth inhibition) (2–6). The distinction between resistance and persistence/tolerance fits with antibiotic lethality being a two-step process in which the first step is the formation of bacteriostatic, drug-target lesions (blocked by resistance mechanisms) (7), while the second step is either (i) conversion of the bacteriostatic lesion into a lethal one, such as conversion of DNA complexed with fluoroquinolone and gyrase into fragmented chromosomes (8) that are not repaired, or (ii) a toxic metabolic response to the lesions (9) that is blocked by persistence/tolerance mechanisms (6). The metabolic response is commonly thought to involve increases in reactive oxygen species (ROS) (6, 9–14). Each step is clinically important: resistance allows bacterial growth during infection, while persistence and tolerance restrict antibiotic lethality, lengthen treatment time, and contribute to both disease relapse (15–18) and the emergence of resistant mutants (19, 20).
While resistance has been extensively studied, much less is known about persistence and tolerance. Tolerance has been attributed to growth defects (21) that would interfere with the lethal metabolic response to antibiotics; with rapidly growing cells, tolerance interferes with lethal pathways that involve the accumulation of ROS (6, 22). Persistence and tolerance are distinguished by tolerance referring to survival of the bulk population, which displays a gradual drop in survival (2, 5, 21, 23, 24), while persistence refers to a subpopulation for which survival displays an initial rapid drop followed by a quasi-plateau (5). Whether persistence involves suppression of ROS accumulation is unknown. Indeed, how persister cells survive bactericidal antibiotics is poorly understood, as are clinically feasible strategies for rapidly eradicating them.
Persistence is likely present in all bacterial populations as low-level survival to antibiotic-mediated killing, but it can be dramatically elevated via mutation. An early example is the hipA7 allele of the HipAB toxin-antitoxin system (21, 25–27). This mutation raises bacterial survival to β-lactams and fluoroquinolones by several orders of magnitude in a process that involves the stringent response and elevated (p)ppGpp production (26, 28). The relative activity of the HipA toxin and the cognate HipB antitoxin likely accounts for maintenance of the subpopulation status characteristic of persistence. Another example is the metG2 persistence mutation, which also raises survival by several logs through elevation of (p)ppGpp (29). Environmental perturbations, such as nutrient deprivation (suspension of cells in saline or growth to stationary phase), have also been considered to be a form of persistence (30–32). Comparison of environmental and genetic forms of persistence is expected to reveal common features and thereby help explain the suppression of antibiotic lethality.
The present work began by examining the ability of antibiotics to kill Escherichia coli grown to stationary phase or starved of nutrients. These environmental perturbations blocked killing by a variety of antibiotics: complete survival indicated antibiotic tolerance rather than persistence. Extensive killing when nutrients were added led to the tolerance being termed phenotypic. One feature of persistent mutants was the inability of nutrients to render them vulnerable to antibiotic lethality. Another was suppression of antibiotic-induced ROS, a property shared with phenotypic tolerance and probably with other forms of persistence and tolerance. ROS suppression and vulnerability to ROS-independent killing directed efforts to control persister cells toward strategies that would bypass protective anti-oxidant defenses. Membrane-damaging agents were attractive, especially combinations of two agents having different action mechanisms such that each would enhance the lethal effects of the other. An ROS-independent combination of polymyxin and aminoglycoside met expectations as it sterilized cultures of wild-type, hipA7, and metG2 cells at clinically attainable concentrations within a few hours.
RESULTS
Phenotypic tolerance associated with nutrient depletion
We examined two environmental models considered to reflect persistence, culture growth to stationary phase, and nutrient starvation for effects on antibiotic-mediated killing of E. coli. Bacterial cultures were grown to stationary phase, treated with the fluoroquinolone ciprofloxacin at 20 MIC, and tested for survival with the standard agar assay. As reported previously (27, 32–34), survival was 10%, roughly 10,000 times higher than observed with exponentially growing cells (Fig. 1A; Fig. S1). The apparent subpopulation behavior of ciprofloxacin was not due to incubation time, as similar results were obtained with cultures in stationary phase for 12 and 24 h (Fig. S2A). However, when ciprofloxacin was replaced with oxolinic acid, a first-generation quinolone whose members kill only by an ROS-dependent mode (35), survival was 100% (Fig. 1B). Full survival of stationary-phase cultures was also seen with three other antibiotic classes represented by ampicillin, kanamycin, and mitomycin C (Fig. 1C through E). Since the survival of a subpopulation is central to the definition of persistence (5), complete blockage of killing by members of four different antibiotic classes forces us to conclude that stationary-phase-mediated protection from antimicrobial lethality is a form of tolerance rather than persistence. Interestingly, when subinhibitory concentrations of anti-oxidants (bipyridyl plus dimethyl sulfoxide [DMSO]) were present in agar used to assay survival, complete survival was observed for ciprofloxacin-treated stationary-phase cultures (Fig. 1A). In the case of ciprofloxacin, the apparent subpopulation behavior was due to ROS-dependent death after removal of ciprofloxacin rather than persistence. Presumably, non-lethal DNA damage occurring during stationary phase (36) was carried over to drug-free agar, where it stimulated a lethal ROS response (13).
Fig 1.
Antibiotic lethality with phenotypically tolerant cells. (A−E) Nutrient restoration enables killing of stationary-phase, phenotypically tolerant cells by several antimicrobial classes. Stationary-phase cultures of wild-type E. coli (strain 0001) were treated with antibiotic as indicated in the absence or presence of a 20-fold dilution into fresh Luria-Bertani (LB) medium (n = 5 with each experiment). BD, bipyridyl plus DMSO in agar. (F) Extent of dilution correlates with extent of tolerant survival. Stationary-phase cultures (n = 3) were treated with ciprofloxacin for 5 or 10 h during the addition of 0.1, 0.2, 1, or 20 volumes of fresh LB medium, indicated by fold dilution. (G) Cell density correlates with tolerant survival to antimicrobial. Log-phase cells (OD600 = 0.3, n = 3) were collected by centrifugation, resuspended in the indicated volumes of fresh LB medium, and immediately treated with ciprofloxacin. (H) Starvation-mediated tolerance reversed by nutrients. Log-phase cells (OD600 = 0.3, n = 5) were washed twice with saline, resuspended in saline, and incubated for 24 or 48 h. The cells were then treated with ciprofloxacin for another 5 h and plated on agar either lacking or containing BD. Aliquots of the starved cells were also resuspended in fresh LB medium containing ciprofloxacin for another 5 h. The antibiotic concentrations were selected to ensure rapid killing of susceptible cells while minimizing intracellular drug residue following washing. In all panels, n is the number of replicate experiments; they showed similar results. Data represent the mean ± SD. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, no significance.
We expected stationary-phase-mediated protection from killing to be a phenotypic phenomenon (3) associated with nutrient deprivation. As a test, we restored nutrients to stationary-phase cultures by dilution of cells into fresh medium containing lethal concentrations of antibiotics. Restoration of nutrients allowed extensive killing by each of several antibiotics to the same low level (0.001%; Fig. 1A through E). In these five cases, the addition of anti-oxidants to assay agar failed to affect survival, indicating that either cell death occurred before plating or that ROS are not involved in post-stress death under these conditions. Since ciprofloxacin is widely used in studies of persistence and tolerance, we focused subsequent work on this quinolone. For this work, we chose to use the optimal bactericidal level (20 MIC; Fig. S1A) because ultrahigh concentrations lead to the Eagle effect (37), to an ROS-independent mode of killing (38), and, in the present work, to erosion of the protective effect of persistence mutations (Fig. S3D, H, and L).
When we varied diluent volume and presumably nutrient level, intermediate levels of survival were observed at intermediate levels of dilution (survival ranged between 0.01% and 0.001% when equal or greater volumes of fresh medium plus ciprofloxacin were added; Fig. 1F). Moreover, a positive relationship between survival and cell density was seen when log-phase cells were resuspended in fresh, ciprofloxacin-containing medium: resuspension in 0.02- to 4-fold volumes of medium resulted in survival ranging from 5% to 0.001% (Fig. 1G). In this case, dense cultures were expected to be nutrient limited. Similar results were obtained following dilution of cells starved for nutrients by incubation in saline (Fig. 1H). Collectively, the data indicate that the protective effect of nutrient limitation on antibiotic lethality is readily reversible; this phenotypic tolerance is distinct from genetic tolerance with rapidly growing cells (6, 22) and persistence resulting from mutations, such as hipA7 and metG2, as described below.
Persistence and nutrient restoration
Since a small fraction (0.001%) of wild-type cells persisted when treated with four antibiotic classes in rich medium (Fig. 1A through E), we asked whether high-level persistence also allows restoration of killing when nutrients are added. Members of four antibiotic classes failed to extensively kill stationary-phase cultures of hipA7 and metG2 mutants, as seen with wild-type cells (Fig. S4). But unlike wild-type cultures, survival remained at 10% after a 20-fold dilution of stationary-phase hipA7 cultures into fresh, ciprofloxacin-containing medium (Fig. 2A; anti-oxidants in agar provided little protection), which was about 10,000-fold higher than wild-type persistence (Fig. 1A). A similar persistence frequency (~10%) was seen when hipA7 cultures were treated with lethal concentrations of ampicillin, kanamycin, or mitomycin C following dilution into fresh medium (Fig. 2B through D). Nutrient-independent, high-frequency persistence also occurred with an metG2 mutant: survival remained at 1%–5% (Fig. S5). Thus, hipA7 and metG2 mutations confer high-level survival (5%–10%) to four antibiotic classes with no additional killing during a shift to rich medium (Fig. 2; Fig. S5). These data demonstrate a qualitative difference between persistence and phenotypic tolerance.
Fig 2.
Persistent survival to four bactericidal antibiotic classes. (A−D) Nutrient restoration lacks an effect on persistent survival. Stationary-phase hipA7 cultures (strain 0022) were diluted 20-fold in fresh medium containing 20 MIC ciprofloxacin, 20 MIC ampicillin, 3 MIC kanamycin, or 3 MIC mitomycin C (n = 3 for each experiment). CFU was determined on both LB agar and agar containing bipyridyl plus DMSO (BD). In all panels, n is the number of replicate experiments; similar results were seen in replicates. Data represent the mean ± SD.
Suppression of ROS level by persistence
Since ROS is commonly thought to contribute to the lethal action of antibiotics (9, 12, 39), we examined the possibility that phenotypic tolerance and persistence suppress ROS accumulation. To test this idea, we deleted catalase genes (∆katGE), which was expected to raise intracellular hydrogen peroxide levels (6, 10, 12, 40–42). Following ciprofloxacin treatment of stationary-phase cultures, catalase mutant survival was about 100-fold lower than observed with wild-type, catalase-containing cells (Fig. 3A). Survival increased 20-fold when assay agar contained anti-oxidants (Fig. 3A), as expected for peroxide being involved in death occurring after ciprofloxacin removal. Dilution of the ∆katGE mutant into fresh medium containing ciprofloxacin dropped survival frequency to 0.0001%, which was about 10-fold lower than observed with wild-type cultures (Fig. 3B and 1A). In this case, the addition of anti-oxidants to the assay agar had no effect, presumably because killing was rapid and extensive during the drug treatment period. Deletion of katGE in the hipA7 mutant also reduced the fraction of surviving cells in cultures, from about 10% to 1% (Fig. 3A and B). These data indicate that ROS participate in killing the major portion of cultures.
Fig 3.
Suppression of ROS levels associated with phenotypic tolerance and hipA7 persistence. (A) Deficiency of catalases increases killing of stationary-phase, tolerant cultures. Stationary-phase cultures of the ∆katGE (strain 0042), hipA7 ∆katGE (strain 0354), and wild type (strain 0001) were treated with 20 MIC ciprofloxacin (n = 4). Survival was determined by plating on LB agar and on agar containing bipyridyl plus DMSO (BD). (B) Little effect of catalase deficiency on hipA7 persistence. Strains and experimental conditions as in panel A, except that cultures were diluted 20-fold in fresh medium during treatment (n = 4). (C) Fluorescence indicating intracellular ROS of stationary-phase cells during and after antibiotic treatment. Left: indicated cultures (n = 3) were treated with ciprofloxacin as in panel A in the presence of carboxy-H2DCFDA. Right: stationary-phase cultures, treated with ciprofloxacin without carboxy-H2DCFDA, were washed and then incubated in antibiotic-free, fresh medium (for regrowth) containing the ROS indicator carboxy-H2DCFDA for 3 h. Fluorescence was measured by flow cytometry. (D) ROS levels of stationary-phase cultures treated with ciprofloxacin when diluted into fresh medium. Strains and treatment (n = 3) were as panel C, except fresh medium was included during treatment as in panel B. (E) Survival of enriched persisters treated with ciprofloxacin. Persisters of hipA7 (strain 0022) were enriched by ampicillin treatment for 10 h in LB medium, washed, and then treated with 10 MIC ciprofloxacin for 8 h in fresh medium. Wild-type cultures, diluted into fresh medium containing ciprofloxacin, served as a control. (F) ROS-mediated fluorescence determined at the single-cell level. hipA7 persisters (n = 3) were enriched and treated as in panel E, except carboxy-H2DCFDA was present during treatment. For panels labeled “regrowth,” cells were treated with ciprofloxacin in the absence of carboxy-H2DCFDA, washed to remove ciprofloxacin, and then incubated in drug-free, fresh medium containing the ROS indicator for 3 h to reveal post-antibiotic ROS accumulation. DIC, differential interference contrast. Bar = 5 µm. In panels A, B, and E, the values are presented as the mean ± SD. In panels C, D, and F, one of three independent biological replicates was shown as a representative.
Several additional experiments characterized the catalase deficiency effects. In one, placement of katE in the low-copy plasmid pACYC184 restored survival of the catalase-deficient mutant to wild-type levels (Fig. S6). This complementation experiment supported the conclusion that reduced survival was due to the absence of catalase. We also reversed the effect of the catalase deficiency by adding anti-oxidants (bipyridyl plus DMSO) to stationary-phase cultures of ΔkatGE cells (Fig. S7). Since E. coli has a third enzyme, alkyl hydroperoxide reductase (AhpCF) that could affect ROS levels, we examined an ahpCF deficiency. We found little effect on survival to ciprofloxacin treatment (Fig. S8). Thus, catalase appears to dominate hydrogen peroxide removal during antibiotic treatment of E. coli.
We next monitored intracellular ROS using the dye carboxy-H2DCFDA, which fluoresces when oxidized (12). Stationary-phase cultures showed little ROS accumulation arising from ciprofloxacin treatment (Fig. 3C; Fig. S9A), although survival measurements showed differences among the wild-type, ∆katGE, hipA7, and hipA7 ∆katGE strains (Fig. 3A and 2A). The survival assay appears to be more sensitive to a catalase deficiency than the ROS test. Nevertheless, shifting stationary-phase cells to nutrient-rich medium resulted in a surge in ROS that revealed the ROS elevation expected for the catalase-deficient mutants (Fig. 3D; a measurable hipA7 effect on ROS was not expected in this experiment because the mutation would affect only 10% of the population). As expected, a suspension of wild-type, log-phase cells in nutrient-deficient saline showed little ROS signal when treated with ciprofloxacin (Fig. S9C). Also expected was plasmid-mediated complementation of catalase defects by ROS measurements (Fig. S6C). Collectively, these data indicate that protection from ciprofloxacin-mediated killing involves suppression of ROS accumulation.
When we treated cultures with ciprofloxacin after shifting stationary-phase cultures to fresh medium, ROS levels rose, with the ΔkatGE mutant exhibiting a peak of exceptionally high ROS level (Fig. 3D). With this mutant, an ROS peak similar to that seen with wild-type cells appeared at early times and was followed later by the second, high-level ROS peak (Fig. S9B). We speculate that the high-level peak arose from multiple rounds of DNA damage producing ROS that in turn caused more DNA damage (13) through an iterative process that is poorly controlled in the absence of catalase.
As pointed out, the subpopulation nature of persistence allowed hipA7 cultures to show ROS changes similar to those of cells having a wild-type hipA allele, although with a slightly lower level of ROS (Fig. S9B). To assess persister ROS level, we enriched the persister subpopulation by treatment of hipA7 cultures with ampicillin for 10 h followed by washing (ampicillin was expected to lyse non-persister cells [21]). Enrichment was 10-fold, to approximately 100% of the population. The enriched hipA7 persister cells were not killed by ciprofloxacin (Fig. 3E; Fig. S10), and little ROS signal was seen among the persister cells (0.8% and 1.4% positive cells) during treatment with ciprofloxacin in fresh medium and during regrowth after antibiotic removal, respectively (left panel in Fig. 3F; in these preparations, cell lysis by ampicillin eliminated non-persister cells). The absence of extensive DNA damage due to ciprofloxacin was also apparent by the lack of cell filamentation characteristic of ciprofloxacin-treated wild-type cells. In contrast, bulk, wild-type cells displayed a strong ROS signal (32% and 49% positive cells) during and after treatment, respectively (right panel in Fig. 3F). The ampicillin-enriched persisters exhibited no growth lag when diluted into fresh medium, and growth rates were comparable to wild-type cultures (Fig. S11A). Overall, the data indicate that ROS accumulation and ciprofloxacin-mediated killing are suppressed during persistence.
Suppression of DNA breakage and translation in persister cells
Growing cells treated with ciprofloxacin contain DNA breaks (8, 43). Since breaks likely induce ROS (13) and also result from ROS action (11, 44), we expected persisters to exhibit fewer ciprofloxacin-mediated DNA breaks than wild-type cells. To test this idea, we constructed strains containing a chromosomal recN-yfp element that reports double-stranded DNA breaks as fluorescence (41, 45) (the recN-yfp element had little effect on growth following dilution from stationary phase; Fig. S11B). At 10 MIC ciprofloxacin, almost 100% of log-phase, wild-type cells were fluorescent after a 6 h treatment (Fig. 4A). We then enriched hipA7 persister cells using ampicillin and treated them with ciprofloxacin (6 h). Although persister cells were capable of forming colonies, only a small fraction (about 1%) of the enriched cells exhibited fluorescent foci (Fig. 4A; Fig. S12A; ampicillin-mediated lysis eliminated dead cells). Thus, few persistent hipA7 cells contain detectable DNA breaks. We also examined DNA breakage with cultures that had not been enriched for persisters. When stationary-phase hipA7 cultures were treated with ciprofloxacin, the fraction with fluorescent foci was 87% (Fig. 4B), indicating that the bulk population was subject to DNA damage. After dilution of stationary-phase hipA7 cells into rich medium containing ciprofloxacin, which has little effect on the survival of the hipA7 mutant (Fig. S12B), the fraction of cells containing fluorescent foci was largely unchanged (89%; Fig. 4B). These data are consistent with a persistent fraction (10% of the population) remaining unaffected by the addition of nutrients (Fig. 2A).
Fig 4.
Low levels of fluoroquinolone-mediated DNA breakage and translation in persister cells. (A) Little DNA breakage. Persister cells of the hipA7::recN-yfp strain (0140, n = 3), enriched by ampicillin, were treated with 10 MIC ciprofloxacin for 6 h in fresh medium. As a positive control for DNA breaks, log-phase wild-type cultures (strain 0141, n = 3) were treated with ciprofloxacin. (B, C) DNA breakage in bulk cultures. Stationary-phase cultures of the hipA7 mutant (strain 0140) and wild-type (strain 0141) strains were treated with ciprofloxacin for 6 h; parallel cultures were treated after a 20-fold dilution into fresh medium with ciprofloxacin (n = 4). (D, E) Translational activity indicated by RplA-YFP fluorescence. The hipA7::rplA-yfp strain (strain 0355, n = 3) was treated as in panel A. As a control, stationary-phase cultures of wild-type cells, containing rplA-yfp (strain 0182, n = 3), were treated with ciprofloxacin after a 20-fold dilution into fresh medium. The mean values of RplA-YFP fluorescence in the imaged cells at the indicated treatment time are expressed in relative units. (F) Suppressed expression of RplA-YFP in persister cells. Strains and conditions were as in panel D. Fluorescence was assayed by flow cytometry. (G, H) Suppressed expression of RplA-YFP during stationary phase. Stationary-phase cultures of the strains in panel D were directly incubated with ciprofloxacin (n = 3). The mean values of RplA-YFP fluorescence in cells are expressed in relative units. In all panels except F, cells were imaged by fluorescence microscopy; bar indicates 5 µm. DIC, differential interference contrast. Parentheses show the total number of cells counted in images of three independent experiments. ****, P < 0.0001; ns, no significance.
A wild-type culture behaved differently. Without anti-oxidant addition, the death of wild-type, stationary-phase cells was ~90%, consistent with 89% of cells showing fluorescent foci that indicate DNA-damaged cells (Fig. 1A and 4C; Fig. S12D). When these stationary-phase cells were diluted into rich medium, which also contained ciprofloxacin, the fraction showing DNA breakage increased to 99.9% (Fig. 4C; Fig. S12E), and almost all cells were killed (0.001% survival; Fig. S12A). Addition of nutrients likely allowed the accumulation of toxic metabolites, including ROS, that increased the DNA damage (11). Thus, stationary-phase wild-type cells exhibit an increase in DNA-damaged cells upon dilution that is not seen with the hipA7-persistent subpopulation.
We also examined translation as a representative of global metabolism (46) using strains containing yfp fused downstream from the chromosomal gene rplA, which encodes the 50S ribosomal protein L1. As with observations of ROS, little increase in fluorescence was observed when stationary-phase, bulk cultures of the hipA7 mutant were treated with ciprofloxacin (Fig. 4G and H). When hipA7 persister cells were enriched by ampicillin treatment and treated with ciprofloxacin in rich medium, the fluorescent signal was lower than seen with wild-type, stationary-phase cultures shifted to ciprofloxacin-containing medium (Fig. 4D through F; Fig. S13). Collectively, the data indicate that hipA7 persister cells, but not wild-type cells, maintain a quiescence state when shifted to rich medium in which ROS accumulation, DNA damage, and translation are suppressed.
Eradication of persister cells by synergistic lethality of aminoglycoside-polymyxin combinations
Since persister cells suppress processes that increase ROS levels, we reasoned that it would be difficult to kill persisters by attempts to artificially elevate ROS to lethal levels. We hypothesized that exceptional membrane-disrupting activity would kill persister cells in an ROS-independent way. To this end, we combined two agents having different membrane-perturbing mechanisms, expecting damage caused by one agent to facilitate damage by the other (Fig. 5A). Preliminary screening of such agents led to an aminoglycoside-polymyxin combination. In initial experiments, kanamycin was applied at its peak serum concentration attained during standard treatment of humans (20 µg/mL, 2.5 MIC) (47), and colistin (polymyxin E) was administered at 0.9 µg/mL (9 MIC), which was slightly below its maximal serum concentration (48). Testing involved survival measurement after shifting stationary-phase cultures to antibiotic-containing medium.
Fig 5.
Elimination of persister cells by polymyxin-aminoglycoside combinations. (A) Schematic explanation of membrane disruption from cotreatment with aminoglycoside and polymyxin. (B) Killing of hipA7 mutant by kanamycin, colistin, or their combinations. Stationary-phase hipA7 cultures (strain 0022, n = 3) were diluted 20-fold into fresh LB medium containing kanamycin (2.5 MIC), colistin (9 or 20 MIC), or their combinations (all concentrations indicated in panel are times MIC). (C) Killing of hipA7 mutant by kanamycin, polymyxin B, or their combinations. Strain and conditions (n = 3) are as in panel B, except polymyxin B was substituted for colistin. (D) Reduction of wild-type persistence level by a kanamycin-polymyxin combination. Wild-type cultures (strain 0001, n = 3) were treated as in panel B. (E, F) Effect of amikacin-polymyxin combination on killing clinical isolates of E. coli and K. pneumoniae. Cultures of E. coli isolate 0284 and K. pneumoniae isolate 0210 (n = 3, each) were prepared as in panel B and treated with amikacin at 2.5 MIC, polymyxin B at 3 MIC, or a combination of the two (concentrations shown in panels B–F are times MIC). (G) Effect of antibiotics on human THP-1 cell growth. THP-1 cells (n = 3) were treated with kanamycin, amikacin, polymyxin B, or their combinations as indicated. Carbonyl cyanide m-chlorophenylhydrazone (CCCP) served as a control (drug concentrations in panel G are in μg/mL). Growth was determined using a CCK-8 assay. Data represent the mean ± SD.
The two compounds showed little killing of a hipA7 mutant when tested individually: colistin showed no killing; kanamycin reduced survival to about 10% (Fig. 5B). When the two compounds were applied as a combination, survival dropped a millionfold to 10−4%. When polymyxin B replaced colistin, survival decreased another 10-fold to 10−5% (Fig. 5C), essentially eradicating the bacterial population. Reducing the concentration of colistin in the combination by 2/3 (to 0.3 µg/mL, 3 MIC) raised survival a 1,000-fold (to 0.1%). Reducing polymyxin B concentration to 0.1 or 1 MIC raised hipA7 survival to 1% or 0.001%, respectively, which was still 10- to 10,000-fold lower, respectively, than with kanamycin alone. Thus, the enhanced lethal effect of the combination depends on drug concentration. Likewise, the combination decreased the survival of wild-type cultures, which had a low frequency of persistence, from 0.001% to 10−6% or 1,000-fold lower than values seen with single-agent treatments (Fig. 5D and 1A through E).
As with kanamycin, combinations pairing polymyxin B with other aminoglycoside derivatives, such as amikacin, tobramycin, gentamicin, or streptomycin, exhibited exceptional persistence-eradicating lethality with wild-type strains and with hipA7 and metG2 mutant cultures (Fig. S14). When kanamycin was combined with ciprofloxacin or ampicillin, the persistence level of the hipA7 mutant and the wild-type strain showed little change (Fig. S15B). Combining kanamycin with mitomycin C lowered survival of hipA7 cultures by only 100-fold, and several combinations with ciprofloxacin or ampicillin showed at most a 10-fold effect (Fig. S16). Thus, the exceptional lethality of aminoglycoside-polymyxin synergy was not general to antibiotics. Our results fit with previous work that, unlike our study, used concentrations that are higher than used clinically (33, 49). Finding that clinically relevant concentrations are effective encouraged further characterization.
Effects of aminoglycoside-polymyxin against diverse bacteria, biofilm, and cultured human cells
We performed several tests to determine whether the combination has broad-spectrum activity. One test focused on E. coli mutants (∆ptsI, ∆cyaA, and ∆crp) that are pan-tolerant to a variety of lethal antibiotics and disinfectants (6) and other mutants associated with tolerance: ∆nhaA (50), ∆dnaK, ∆dnaJ, ∆dksA, ∆yigB, and ∆ihfA (51, 52). When stationary-phase cultures of the mutants were diluted into fresh medium and treated for 5 h with kanamycin (2.5 MIC) plus polymyxin B (3 MIC), survival dropped seven orders of magnitude (Fig. S17). For phenotypically tolerant cultures grown to stationary phase, killing took longer, starting after 2 d. By 7 d of treatment, survival dropped five to seven orders of magnitude, which was 104- to 106-fold lower than single-drug treatments (Fig. S18).
Another test focused on a variety of wild-type strains. For example, the combination of aminoglycoside (1.25–2.5 MIC) plus polymyxin B (3 MIC) severely reduced persistent survival to 10−5%–10−6% with four clinical isolates of E. coli and three isolates of Klebsiella pneumoniae (Fig. 5E and F; Fig. S19A through F). The combination treatment also reduced by ~10-fold the persistence level found for aminoglycoside alone for laboratory strains of Pseudomonas aeruginosa and Staphylococcus aureus, lowering survival level to 0.001% (Fig. S19G and H). Thus, enhanced killing by an aminoglycoside-polymyxin combination applies to persister cells present in cultures of gram-negative and gram-positive (S. aureus) bacteria, although E. coli and K. pneumoniae are especially susceptible.
Since many infections involve biofilms that contain persister cells, we also examined the effect of an aminoglycoside-polymyxin combination with a biofilm model composed of either E. coli or K. pneumoniae. When biofilms, formed by static growth for 48 h, were treated with 2.5 MIC kanamycin plus 3 MIC polymyxin B, survival decreased by 104- to 105-fold (Fig. S20). In contrast, treatment with the individual agents exhibited no killing of biofilm cells. These results emphasize the potential importance of the combination.
We next asked whether the combination was generally toxic to human cells. When we exposed cultured human THP-1 macrophage-like cells to high concentrations of the drug combination (polymyxin B at 6 µg/mL, 20 MIC and amikacin or kanamycin at 80 µg/mL, 10 MIC) or the single agents for 24 h, no obvious growth inhibition occurred (Fig. 5G). These drug concentrations were 5- to 20-fold higher than required for sterilization of persistent bacterial cultures (Fig. 5). Additional work is needed to evaluate the potential toxicity of the combinations in animal models.
Mechanism of synergistic lethality involves ROS-independent membrane disruption
The striking bactericidal effect of antibiotic cotreatment was associated with reduction in MIC by 10- to 16-fold for the kanamycin-polymyxin B combination and by 4- to 5-fold for the kanamycin-colistin combination relative to the MICs of the individual compounds. The fractional inhibitory concentration index for kanamycin, when combined with polymyxin B, was 0.19 and when combined with colistin was 0.44 (Fig. S21; index values ≤0.5 reflect a positive bacteriostatic interaction between two antibiotics [53]). A bacteriostatic interaction between the aminoglycosides and polymyxins would likely facilitate downstream lethal action.
To examine a role for proton motive force (PMF) in lethality, the PMF inhibitor carbonyl cyanide m-chlorophenylhydrazone (CCCP) was added during antibiotic treatment of hipA7 cultures in rich medium. CCCP increased viability by 106-fold for hipA7 cells treated with kanamycin plus polymyxin B (Fig. S15D). These data are consistent with persister-cell PMF being crucial for the uptake of aminoglycoside and polymyxin (54–56).
We also examined possible ROS involvement in the lethality of aminoglycoside-polymyxin combinations. A deficiency of katGE failed to increase killing of the hipA7 mutant or wild-type strain; moreover, the addition of anti-oxidants (bipyridyl plus DMSO) had little effect, both during treatment in liquid medium or on agar after antibiotic removal (Fig. S22). Thus, killing by combinations of aminoglycoside and polymyxin occurs in a largely ROS-independent manner.
To better understand how persister cells are killed by aminoglycoside-polymyxin cotreatment, cell membrane potential and permeability were examined using the fluorescent dyes DiSC3(5) and propidium iodide, respectively. Stationary-phase hipA7 cultures were diluted into fresh medium containing DiSC3(5) and treated with kanamycin (2.5 MIC) plus polymyxin B (3 MIC). After 2–4 h of cotreatment, the DiSC3(5) signal increased two- to threefold, as determined by flow cytometry (Fig. 6A). In contrast, treatment with kanamycin or polymyxin B individually caused little increase in the DiSC3(5) signal (Fig. 6A). Thus, the reduction of membrane potential correlates with the death of persister cells arising during combination treatment.
Fig 6.
Membrane disruption due to cotreatment with polymyxin and aminoglycoside. (A) Effect of aminoglycoside-polymyxin combination on membrane potential indicated by DiSC3(5) fluorescence. Stationary-phase hipA7 cultures (strain 0022) were diluted 20-fold into fresh LB medium containing 2.5 MIC kanamycin, 3 MIC polymyxin B, or the combination. Each culture also contained 2.5 µM DiSC3(5). Fluorescence of DiSC3(5) at the indicated times after dilution was detected by flow cytometry. (B) Effect of aminoglycoside-polymyxin combination on membrane permeability reported by propidium iodide (PI) fluorescence. hipA7 cultures were prepared as in panel A except propidium iodide (5 µM) was substituted for DiSC3(5). (C, D) Membrane damage in enriched persisters due to antibiotic combination. Stationary-phase cultures of the hipA7 mutant (n = 3) were diluted into fresh LB medium and treated with 20 MIC ampicillin for 10 h, washed, and then treated with 2.5 MIC kanamycin plus 3 MIC polymyxin for 4 h in fresh medium containing DiSC3(5) (C) or propidium iodide (D). Differential interference contrast (DIC). Bar = 5 µm. In all panels, three independent biological replicates produced similar results. Numbers in parentheses indicate the total number of cells counted.
When we labeled cells diluted into fresh medium with propidium iodide and treated them with kanamycin plus polymyxin B, the fraction of fluorescent hipA7 mutant cells was 100%, as measured by flow cytometry and microscopy (Fig. 6B; Fig. S23A). Treatment with kanamycin or polymyxin B alone showed fluorescence in only 7%–8% of the population, consistent with the high-level survival determined by agar plating performed in parallel (Fig. 2A and 5B). Cotreatment also increased the fluorescent signal associated with propidium iodide-stained metG2 mutant cells (Fig. S23).
When we enriched hipA7 persisters by lysis of susceptible cells using ampicillin and then treated with a kanamycin-polymyxin combination, the persisters lost their distinct cell shape and gained fluorescent signals from DiSC3(5) and propidium iodide (Fig. 6C and D). These observations are consistent with membrane damage. In contrast, treatment with kanamycin or polymyxin B individually had little effect on cell shape and did not increase DiSC3(5) or propidium iodide signals from ampicillin-enriched persister cells (Fig. 6C and D). Collectively, the data indicate that a combination of polymyxin and aminoglycoside has a synergistic, membrane-disrupting ability that rapidly lowers survival of persistent cells in an ROS-independent manner.
DISCUSSION
Antimicrobial persistence and tolerance in bacteria, fungi, parasites, and mammalian (cancer) cells make control of disease difficult (2, 23, 24, 57). The present study advances our understanding of these two protective features in bacteria (sketched in Fig. 7). Two phenomena were examined: environmental situations likely to involve nutrient limitation and mutations that stimulate the stringent response. In both cases, E. coli cells suppressed ROS accumulation during treatment with the fluoroquinolone ciprofloxacin. That suggested that controlling persistent cells might best be achieved by bypassing potential problems associated with ROS suppression: use ROS-independent ways to kill bacteria. When we examined membrane damage generated by a combination of aminoglycoside and polymyxin, this ROS-independent approach eradicated persister cells at drug concentrations low enough for the strategy to be clinically feasible. Moreover, an ROS-independent approach is expected to stimulate work on antioxidant strategies for mitigating nephrotoxicity associated with polymyxin and aminoglycoside treatment. Overall, the work (i) suggests that other forms of persistence and tolerance also involve suppression of ROS and (ii) emphasizes the special nature of membrane-damaging antibiotic combinations for addressing problems of persistence and tolerance.
Fig 7.
Distinction between phenotypic tolerance and persistence. (a) Nutrient depletion due to stationary phase or resuspension in saline produces phenotypic tolerance. (b, c) This tolerance protects the bulk population from lethal events, and cells survive bactericidal treatment. (d, e) Response to nutrients causes the cells to lose tolerance and die by ROS-associated processes that include drug target damage, ROS accumulation, and metabolic activity. (f, g) Persister cells as subpopulations in mutant (hipA7, metG2) and wild-type cultures survive treatment with a variety of bactericidal antibiotics, even in rich medium, due to endogenous quiescence. (h, i) Synergistic, ROS-independent membrane disruption by polymyxin-aminoglycoside combinations at clinically attainable concentrations leads to rapid eradication of pan-persistent cells and genetic pan-tolerant mutants.
Conclusions about suppression of ROS can be derived from (i) increased killing of a catalase-deficient mutant by ciprofloxacin, (ii) decreased killing when the drug was combined with anti-oxidants, and (iii) the expected changes in fluorescence of a dye known to be sensitive to radicals. These examples, which included wild-type persistence that was lowered by the absence of catalase, add to two cases of genetic tolerance in rapidly growing cells (6, 22) and to data indicating that many antibiotics kill bacteria by increasing intracellular ROS (9–13, 41, 58, 59). These observations make it likely that growth- or metabolic-defect forms of antibiotic persistence and tolerance (5, 21, 60) are also characterized by low ROS levels. Suppression of ROS level is also associated with the Eagle effect when observed with the quinolone nalidixic acid (37). In this phenomenon, bacteria fail to be killed by very high drug concentrations in a Lon protease-dependent manner (35). Since Eagle effect survival can be 100% (37, 61), the effect is likely to be a form of tolerance. We expect future work to show that suppression of ROS accumulation is a general protective feature of bacteria during antibiotic and disinfectant treatment.
Persister cells, enriched from hipA7 cultures, exhibited two ancillary properties that fit with low ROS values being protective. One is suppression of quinolone-mediated DNA breakage, which is thought to arise in part from ROS action (chloramphenicol blocks ROS accumulation and chromosome fragmentation with first-generation quinolones [37, 43]). When we probed for ciprofloxacin-mediated breakage with RecN-YFP, we detected more cells with breakage in the bulk population than in the persister subpopulation. The second property is low translation activity, which is consistent with suppression of metabolism and protection from antimicrobial lethality (62, 63). Slow metabolism, which would impede the generation of ROS, is likely a consequence of HipA7 stimulating the stringent response and induction of (p)ppGpp (26, 28). Elevation of (p)ppGpp levels, which has been observed with many examples of persistence and tolerance (64, 65), likely impedes the cAMP-Crp-ROS death pathway stimulated by antibiotics and disinfectants (6, 22).
Environment- and mutation-mediated protection differed in several ways that led us to question whether environmental models reflect persistence. The central aspect of persistence is its subpopulation status (5). Finding that growth to stationary phase protected 100% of an E. coli culture from oxolinic acid, ampicillin, kanamycin, and mitomycin C suggested tolerance. Although the finding of 10% survival to 20 MIC ciprofloxacin supported protection of a subpopulation, as previously reported (32, 33), complexity is expected from residual lethal action on assay agar after removal of ciprofloxacin and other fluoroquinolones (13, 66, 67). Addition of anti-oxidants to agar brought survival with ciprofloxacin to 100% with stationary-phase cells. Our interpretation is that DNA damage occurs during this phase (36); during plating on agar, damage repair induces too much ROS for cells to suppress. That allows anti-oxidants added to the agar to increase survival.
Another difference between the two types of protection involves the addition of nutrients to stationary-phase cultures along with ciprofloxacin. Wild-type cells are rapidly killed, while the hipA7 mutant exhibits a drug concentration effect. At 20 MIC ciprofloxacin, 10% survival was observed; raising the concentration to 100 or 500 MIC lowered survival to 0.2%, a drop of 50-fold. One interpretation is that the hipA7 mutation is unable to protect from ROS-independent chromosome fragmentation occurring at very high fluoroquinolone concentration. This complexity argues against the common practice of using ultra-high antibiotic concentrations to study the metabolic response of persister cells. An additional concern about using high concentrations of antibiotics, such as aminoglycosides, is that the drug can be difficult to remove prior to plating, thereby confounding survival measurements (13).
ROS suppression and endogenous quiescence inherent to persistence caused us to seek a membrane-disrupting strategy that would bypass ROS defenses, thereby sterilizing persister cultures. Pilot experiments using a variety of membrane-perturbing agents identified aminoglycoside-polymyxin combinations as highly lethal. As single agents at low doses, these compounds showed little lethal action, consistent with prior reports in which lethality was seen only at high drug concentrations that are often not achieved clinically (aminoglycosides at 50–200 µg/mL for heat-shocked bacteria (68) and colistin at 10 (33) and 64 µg/mL (49) for stationary-phase cultures). Since polymyxins act by insertion into bacterial membranes (69, 70) and since aminoglycosides bind to and perturb membranes (71, 72), using a combination of the two was attractive. Members of the two compound classes were synergistic, as observed previously (33, 49, 73, 74). Although both colistin and polymyxin B, when combined with one of five different aminoglycosides, eradicated persister cells from cultures, not every antibiotic associated with membrane damage is suitable: the β-lactam ampicillin, when combined with polymyxin B, failed to kill a large proportion of persister cells. Overall, our data fit well with previous work in which a different criterion (dependence on metabolism for lethality) was used to generate synergistic combinations (33); our membrane approach explains why a polymyxin-aminoglycoside combination is exceptionally lethal.
Biofilm and phenotypically tolerant cells are also killed by an aminoglycoside-polymyxin combination, as were clinical isolates of E. coli and K. pneumoniae. With tolerant cells, the rate of killing was slow, requiring incubation for multiple days. In previous work, killing of tolerant cells occurred within a few hours, which is likely due to combinations with high doses of colistin (4 or 64 µg/mL) and amikacin/ciprofloxacin (64 µg/mL) (49). Overall, the lethal effects of the combination are quite general and may even extend to gram-positive bacteria, which are often considered to be insensitive to polymyxins (70): we observed a modest (10-fold) killing with S. aureus by treating with amikacin plus polymyxin. This modest effect is consistent with low, but significant, gram-positive activity of polymyxin (75).
Although it is encouraging that the combinations reduce the lethal concentration of polymyxins and aminoglycosides to where treatment is clinically feasible, enthusiasm is dampened by serious adverse effects to kidneys, especially during long-term treatment at high concentrations (69, 71, 76). We note that some renal damage, at least in animal models, arises from elevated ROS levels (77) since cotreatment with anti-oxidants decreases nephrotoxicity (69, 77, 78). Application of anti-oxidants, such as vitamin C (78), to mute nephrotoxicity should not reduce the anti-persister effect of aminoglycoside-polymyxin combinations because the lethal effect is independent of ROS. Moreover, our toxicity experiment with cultured human cells indicates that the polymyxin-aminoglycoside combination is not universally cytotoxic, as we saw no toxicity with a human cell line at doses 5- to 20-fold higher than needed for sterilization of persister E. coli cultures and 4- to 5-fold lower than peak serum concentrations found during clinical use (69, 79, 80).
The implications of the present work are limited in scope by the in vitro nature of the work, examination of only two persister mutants (hipA7 and metG2), use of only one growth medium, and testing of only three gram-negative species. Moreover, we did not examine persisters present during outgrowth from stationary phase. Nor did we enrich the rare persister cells in wild-type cultures, although we did include them in survival measurements of bulk cultures. We note that a consequence of the subpopulation status of persister cells is a sharp, antibiotic-mediated drop in survival followed by a slower decline; in contrast, tolerance is characterized by a gradual decline in survival (5). Complexities are expected. For example, some nuo mutants exhibit survival kinetics characteristic of persisters, while others show the complete survival characteristic of tolerance (63).
We conclude by reiterating the potential importance of tolerance and persistence. Among the clinical examples are two hipA persister mutations (27) and a tolerance mutation in ptsI (81) that have been detected in E. coli isolates from urinary tract and blood stream infections, respectively. Moreover, a growth defect form of tolerance has been recovered from an S. aureus infection (19). Since laboratory evolution experiments readily generate persistent and tolerant mutants with defects in genes, such as hipA (25), metG (20, 29), nhaA (50), cyaA, and crp (6), that are involved in the metabolic response to lethal agents, persistence and tolerance likely emerge with high probability. Moreover, both tolerance and persistence promote the emergence of antibiotic resistance (19, 20). Particularly concerning is the finding that genetic tolerance can extend beyond antibiotics to disinfectants and antibacterial compounds used by the immune system (6). A hopeful sign is that membrane-active combinations are a promising approach for addressing problems caused by persistence and tolerance.
MATERIALS AND METHODS
Standard microbiological methods were employed. Bacterial survival was measured by colony counting on antimicrobial-free agar plates following dilution and incubation. In many experiments, agar contained the anti-ROS agents bipyridyl and DMSO. Bacterial strains were constructed by P1-mediated transduction and CRISPR. ROS, DNA breakage, and translational activity in bulk and single cells were measured by flow cytometry and microscopy. All experiments involved at least three biological replicates; similar results were obtained in each. Statistical comparisons between two groups were assessed by using two-tailed Student’s t-test. For a detailed description of the methods, please see the Supplemental Material.
ACKNOWLEDGMENTS
We thank Dr. Bo Shopsin and the anonymous reviewers for their critical comments and valuable suggestions on the manuscript. We are also grateful to Dr. Saeed Tavazoie, Dr. Zhemin Zhou, and Dr. Haifang Zhang for gifts of bacterial strains and Dr. Wenzhuo Zhuang for THP-1 cells.
The work was supported by grants from the National Natural Science Foundation of China (32170032, 32370034, 42306112, and 82172316), National Major Young Talent Project A, Postdoctoral Science Foundation of China (2022M712313), Jiangsu Specially Appointed Professor Project, Jiangsu Postdoctoral Talent (2022ZB572), Suzhou Innovation Leading Talent Project (ZXL2022456), Jiangsu Improvement Project of Science and Education (CXZX202231), and Qilu Medical Foundation of Suzhou Medical College (24QL201204).
Y.Y., Y.T., M.D., W.Z., J.W., and Y.C. performed the experiments. Y.Y., X.Z., K.D., and Y.H. designed the experiments. Y.Y., M.D., Y.T., F.X., X.Z., K.D., and Y.H. analyzed the data. F.X., X.Z., and Y.H. provided experimental materials. K.D. and Y.H. wrote the paper.
Contributor Information
Yuzhi Hong, Email: yzhong@suda.edu.cn.
Alejandro J. Vila, Instituto de Biologia Molecular y Celular de Rosario, Rosario, Santa Fe, Argentina
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/mbio.01199-25.
Supplemental methods, figures, and tables.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
REFERENCES
- 1. WHO . 2024. Antibacterial agents in clinical and preclinical development: an overview and analysis
- 2. Bigger J. 1944. Treatment of staphylococcal infections with penicillin by intermittent sterilisation. Lancet 244:497–500. doi: 10.1016/S0140-6736(00)74210-3 [DOI] [Google Scholar]
- 3. Tuomanen E, Durack DT, Tomasz A. 1986. Antibiotic tolerance among clinical isolates of bacteria. Antimicrob Agents Chemother 30:521–527. doi: 10.1128/AAC.30.4.521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Brauner A, Fridman O, Gefen O, Balaban NQ. 2016. Distinguishing between resistance, tolerance and persistence to antibiotic treatment. Nat Rev Microbiol 14:320–330. doi: 10.1038/nrmicro.2016.34 [DOI] [PubMed] [Google Scholar]
- 5. Balaban NQ, Helaine S, Lewis K, Ackermann M, Aldridge B, Andersson DI, Brynildsen MP, Bumann D, Camilli A, Collins JJ, Dehio C, Fortune S, Ghigo J-M, Hardt W-D, Harms A, Heinemann M, Hung DT, Jenal U, Levin BR, Michiels J, Storz G, Tan M-W, Tenson T, Van Melderen L, Zinkernagel A. 2019. Definitions and guidelines for research on antibiotic persistence. Nat Rev Microbiol 17:441–448. doi: 10.1038/s41579-019-0196-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Zeng J, Hong Y, Zhao N, Liu Q, Zhu W, Xiao L, Wang W, Chen M, Hong S, Wu L, Xue Y, Wang D, Niu J, Drlica K, Zhao X. 2022. A broadly applicable, stress-mediated bacterial death pathway regulated by the phosphotransferase system (PTS) and the cAMP-Crp cascade. Proc Natl Acad Sci USA 119:e2118566119. doi: 10.1073/pnas.2118566119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Wohlkonig A, Chan PF, Fosberry AP, Homes P, Huang J, Kranz M, Leydon VR, Miles TJ, Pearson ND, Perera RL, Shillings AJ, Gwynn MN, Bax BD. 2010. Structural basis of quinolone inhibition of type IIA topoisomerases and target-mediated resistance. Nat Struct Mol Biol 17:1152–1153. doi: 10.1038/nsmb.1892 [DOI] [PubMed] [Google Scholar]
- 8. Malik M, Zhao X, Drlica K. 2006. Lethal fragmentation of bacterial chromosomes mediated by DNA gyrase and quinolones. Mol Microbiol 61:810–825. doi: 10.1111/j.1365-2958.2006.05275.x [DOI] [PubMed] [Google Scholar]
- 9. Kohanski MA, Dwyer DJ, Hayete B, Lawrence CA, Collins JJ. 2007. A common mechanism of cellular death induced by bactericidal antibiotics. Cell 130:797–810. doi: 10.1016/j.cell.2007.06.049 [DOI] [PubMed] [Google Scholar]
- 10. Shatalin K, Shatalina E, Mironov A, Nudler E. 2011. H2S: a universal defense against antibiotics in bacteria. Science 334:986–990. doi: 10.1126/science.1209855 [DOI] [PubMed] [Google Scholar]
- 11. Foti JJ, Devadoss B, Winkler JA, Collins JJ, Walker GC. 2012. Oxidation of the guanine nucleotide pool underlies cell death by bactericidal antibiotics. Science 336:315–319. doi: 10.1126/science.1219192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Dwyer DJ, Belenky PA, Yang JH, MacDonald IC, Martell JD, Takahashi N, Chan CTY, Lobritz MA, Braff D, Schwarz EG, Ye JD, Pati M, Vercruysse M, Ralifo PS, Allison KR, Khalil AS, Ting AY, Walker GC, Collins JJ. 2014. Antibiotics induce redox-related physiological alterations as part of their lethality. Proc Natl Acad Sci USA 111:E2100–E2109. doi: 10.1073/pnas.1401876111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Hong Y, Zeng J, Wang X, Drlica K, Zhao X. 2019. Post-stress bacterial cell death mediated by reactive oxygen species. Proc Natl Acad Sci USA 116:10064–10071. doi: 10.1073/pnas.1901730116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Wong F, Stokes JM, Bening SC, Vidoudez C, Trauger SA, Collins JJ. 2022. Reactive metabolic byproducts contribute to antibiotic lethality under anaerobic conditions. Mol Cell 82:3499–3512. doi: 10.1016/j.molcel.2022.07.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Balduck M, Strikker A, Gestels Z, Abdellati S, Van den Bossche D, De Baetselier I, Kenyon C, Manoharan-Basil SS. 2024. The prevalence of antibiotic tolerance in Neisseria gonorrhoeae varies by anatomical site. Pathogens 13:538. doi: 10.3390/pathogens13070538 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Lazarovits G, Gefen O, Cahanian N, Adler K, Fluss R, Levin-Reisman I, Ronin I, Motro Y, Moran-Gilad J, Balaban NQ, Strahilevitz J. 2022. Prevalence of antibiotic tolerance and risk for reinfection among Escherichia coli bloodstream isolates: a prospective cohort study. Clin Infect Dis 75:1706–1713. doi: 10.1093/cid/ciac281 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Kuehl R, Morata L, Meylan S, Mensa J, Soriano A. 2020. When antibiotics fail: a clinical and microbiological perspective on antibiotic tolerance and persistence of Staphylococcus aureus. J Antimicrob Chemother 75:1071–1086. doi: 10.1093/jac/dkz559 [DOI] [PubMed] [Google Scholar]
- 18. Lewis K. 2019. Persister cells and infectious disease. 1st ed. Springer Cham. [Google Scholar]
- 19. Liu J, Gefen O, Ronin I, Bar-Meir M, Balaban NQ. 2020. Effect of tolerance on the evolution of antibiotic resistance under drug combinations. Science 367:200–204. doi: 10.1126/science.aay3041 [DOI] [PubMed] [Google Scholar]
- 20. Levin-Reisman I, Ronin I, Gefen O, Braniss I, Shoresh N, Balaban NQ. 2017. Antibiotic tolerance facilitates the evolution of resistance. Science 355:826–830. doi: 10.1126/science.aaj2191 [DOI] [PubMed] [Google Scholar]
- 21. Balaban NQ, Merrin J, Chait R, Kowalik L, Leibler S. 2004. Bacterial persistence as a phenotypic switch. Science 305:1622–1625. doi: 10.1126/science.1099390 [DOI] [PubMed] [Google Scholar]
- 22. Chen M, Cui R, Hong S, Zhu W, Yang Q, Li J, Nie Z, Zhang X, Ye Y, Xue Y, Wang D, Hong Y, Drlica K, Niu J, Zhao X. 2025. Broad-spectrum tolerance to disinfectant-mediated bacterial killing due to mutation of the PheS aminoacyl tRNA synthetase. Proc Natl Acad Sci USA 122:e2412871122. doi: 10.1073/pnas.2412871122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Lewis K. 2010. Persister cells. Annu Rev Microbiol 64:357–372. doi: 10.1146/annurev.micro.112408.134306 [DOI] [PubMed] [Google Scholar]
- 24. Helaine S, Conlon BP, Davis KM, Russell DG. 2024. Host stress drives tolerance and persistence: the bane of anti-microbial therapeutics. Cell Host Microbe 32:852–862. doi: 10.1016/j.chom.2024.04.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Moyed HS, Bertrand KP. 1983. hipA, a newly recognized gene of Escherichia coli K-12 that affects frequency of persistence after inhibition of murein synthesis. J Bacteriol 155:768–775. doi: 10.1128/jb.155.2.768-775.1983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Semanjski M, Germain E, Bratl K, Kiessling A, Gerdes K, Macek B. 2018. The kinases HipA and HipA7 phosphorylate different substrate pools in Escherichia coli to promote multidrug tolerance. Sci Signal 11:eaat5750. doi: 10.1126/scisignal.aat5750 [DOI] [PubMed] [Google Scholar]
- 27. Schumacher MA, Balani P, Min J, Chinnam NB, Hansen S, Vulić M, Lewis K, Brennan RG. 2015. HipBA-promoter structures reveal the basis of heritable multidrug tolerance. Nature 524:59–64. doi: 10.1038/nature14662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Germain E, Castro-Roa D, Zenkin N, Gerdes K. 2013. Molecular mechanism of bacterial persistence by HipA. Mol Cell 52:248–254. doi: 10.1016/j.molcel.2013.08.045 [DOI] [PubMed] [Google Scholar]
- 29. Girgis HS, Harris K, Tavazoie S. 2012. Large mutational target size for rapid emergence of bacterial persistence. Proc Natl Acad Sci USA 109:12740–12745. doi: 10.1073/pnas.1205124109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Maisonneuve E, Gerdes K. 2014. Molecular mechanisms underlying bacterial persisters. Cell 157:539–548. doi: 10.1016/j.cell.2014.02.050 [DOI] [PubMed] [Google Scholar]
- 31. Pu Y, Li Y, Jin X, Tian T, Ma Q, Zhao Z, Lin SY, Chen Z, Li B, Yao G, Leake MC, Lo CJ, Bai F. 2019. ATP-dependent dynamic protein aggregation regulates bacterial dormancy depth critical for antibiotic tolerance. Mol Cell 73:143–156. doi: 10.1016/j.molcel.2018.10.022 [DOI] [PubMed] [Google Scholar]
- 32. Tang J, Brynildsen MP. 2023. Genome-wide mapping of fluoroquinolone-stabilized DNA gyrase cleavage sites displays drug specific effects that correlate with bacterial persistence. Nucleic Acids Res 51:1208–1228. doi: 10.1093/nar/gkac1223 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Zheng EJ, Stokes JM, Collins JJ. 2020. Eradicating bacterial persisters with combinations of strongly and weakly metabolism-dependent antibiotics. Cell Chem Biol 27:1544–1552. doi: 10.1016/j.chembiol.2020.08.015 [DOI] [PubMed] [Google Scholar]
- 34. Gutierrez A, Jain S, Bhargava P, Hamblin M, Lobritz MA, Collins JJ. 2017. Understanding and sensitizing density-dependent persistence to quinolone antibiotics. Mol Cell 68:1147–1154. doi: 10.1016/j.molcel.2017.11.012 [DOI] [PubMed] [Google Scholar]
- 35. Drlica K, Malik M, Kerns RJ, Zhao X. 2008. Quinolone-mediated bacterial death. Antimicrob Agents Chemother 52:385–392. doi: 10.1128/AAC.01617-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Völzing KG, Brynildsen MP. 2015. Stationary-phase persisters to ofloxacin sustain DNA damage and require repair systems only during recovery. mBio 6:e00731-15. doi: 10.1128/mBio.00731-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Luan G, Hong Y, Drlica K, Zhao X. 2018. Suppression of reactive oxygen species accumulation accounts for paradoxical bacterial survival at high quinolone concentration. Antimicrob Agents Chemother 62:e01622-17. doi: 10.1128/AAC.01622-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Malik M, Hussain S, Drlica K. 2007. Effect of anaerobic growth on quinolone lethality with Escherichia coli. Antimicrob Agents Chemother 51:28–34. doi: 10.1128/AAC.00739-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Drlica K, Zhao X. 2021. Bacterial death from treatment with fluoroquinolones and other lethal stressors. Expert Rev Anti Infect Ther 19:601–618. doi: 10.1080/14787210.2021.1840353 [DOI] [PubMed] [Google Scholar]
- 40. Imlay JA. 2013. The molecular mechanisms and physiological consequences of oxidative stress: lessons from a model bacterium. Nat Rev Microbiol 11:443–454. doi: 10.1038/nrmicro3032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Hong Y, Li L, Luan G, Drlica K, Zhao X. 2017. Contribution of reactive oxygen species to thymineless death in Escherichia coli. Nat Microbiol 2:1667–1675. doi: 10.1038/s41564-017-0037-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Takahashi N, Gruber CC, Yang JH, Liu X, Braff D, Yashaswini CN, Bhubhanil S, Furuta Y, Andreescu S, Collins JJ, Walker GC. 2017. Lethality of MalE-LacZ hybrid protein shares mechanistic attributes with oxidative component of antibiotic lethality. Proc Natl Acad Sci USA 114:9164–9169. doi: 10.1073/pnas.1707466114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Chen CR, Malik M, Snyder M, Drlica K. 1996. DNA gyrase and topoisomerase IV on the bacterial chromosome: quinolone-induced DNA cleavage. J Mol Biol 258:627–637. doi: 10.1006/jmbi.1996.0274 [DOI] [PubMed] [Google Scholar]
- 44. Halliwell B, Adhikary A, Dingfelder M, Dizdaroglu M. 2021. Hydroxyl radical is a significant player in oxidative DNA damage in vivo. Chem Soc Rev 50:8355–8360. doi: 10.1039/d1cs00044f [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Kidane D, Sanchez H, Alonso JC, Graumann PL. 2004. Visualization of DNA double-strand break repair in live bacteria reveals dynamic recruitment of Bacillus subtilis RecF, RecO and RecN proteins to distinct sites on the nucleoids. Mol Microbiol 52:1627–1639. doi: 10.1111/j.1365-2958.2004.04102.x [DOI] [PubMed] [Google Scholar]
- 46. Bervoets I, Charlier D. 2019. Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology. FEMS Microbiol Rev 43:304–339. doi: 10.1093/femsre/fuz001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Kirby WM, Clarke JT, Libke RD, Regamey C. 1976. Clinical pharmacology of amikacin and kanamycin. J Infect Dis 134:S312–S315. doi: 10.1093/infdis/135.supplement_2.s312 [DOI] [PubMed] [Google Scholar]
- 48. Fan Y, Li Y, Chen Y, Yu J, Liu X, Li W, Guo B, Li X, Wang J, Wu H, Wang Y, Hu J, Guo Y, Hu F, Xu X, Cao G, Wu J, Zhang Y, Zhang J, Wu X. 2022. Pharmacokinetics and pharmacodynamics of colistin methanesulfonate in healthy Chinese subjects after multi-dose regimen. Antibiotics (Basel) 11:798. doi: 10.3390/antibiotics11060798 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Seo J, Na IY, Ko KS. 2024. Antibiotic efficacy in Escherichia coli and Klebsiella pneumoniae under nutrient limitation and effectiveness of colistin-based antibiotic combinations to eradicate persister cells. Curr Microbiol 81:34. doi: 10.1007/s00284-023-03551-2 [DOI] [PubMed] [Google Scholar]
- 50. Zheng EJ, Andrews IW, Grote AT, Manson AL, Alcantar MA, Earl AM, Collins JJ. 2022. Modulating the evolutionary trajectory of tolerance using antibiotics with different metabolic dependencies. Nat Commun 13:2525. doi: 10.1038/s41467-022-30272-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Hansen S, Lewis K, Vulić M. 2008. Role of global regulators and nucleotide metabolism in antibiotic tolerance in Escherichia coli. Antimicrob Agents Chemother 52:2718–2726. doi: 10.1128/AAC.00144-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Nicolau SE, Lewis K. 2022. The role of integration host factor in Escherichia coli persister formation. mBio 13:e03420-21. doi: 10.1128/mbio.03420-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Tyers M, Wright GD. 2019. Drug combinations: a strategy to extend the life of antibiotics in the 21st century. Nat Rev Microbiol 17:141–155. doi: 10.1038/s41579-018-0141-x [DOI] [PubMed] [Google Scholar]
- 54. Webster CM, Woody AM, Fusseini S, Holmes LG, Robinson GK, Shepherd M. 2022. Proton motive force underpins respiration-mediated potentiation of aminoglycoside lethality in pathogenic Escherichia coli. Arch Microbiol 204:120. doi: 10.1007/s00203-021-02710-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Li Z, Wu L, Huang Z, Lv B, Fu Y, Zhou L, Fu X. 2023. CCCP facilitates aminoglycoside to kill late stationary-phase Escherichia coli by elevating hydroxyl radical. ACS Infect Dis 9:801–814. doi: 10.1021/acsinfecdis.2c00522 [DOI] [PubMed] [Google Scholar]
- 56. Wang M, Chan EWC, Wan Y, Wong MH-Y, Chen S. 2021. Active maintenance of proton motive force mediates starvation-induced bacterial antibiotic tolerance in Escherichia coli. Commun Biol 4:1068. doi: 10.1038/s42003-021-02612-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Pu Y, Li L, Peng H, Liu L, Heymann D, Robert C, Vallette F, Shen S. 2023. Drug-tolerant persister cells in cancer: the cutting edges and future directions. Nat Rev Clin Oncol 20:799–813. doi: 10.1038/s41571-023-00815-5 [DOI] [PubMed] [Google Scholar]
- 58. Gusarov I, Shatalin K, Starodubtseva M, Nudler E. 2009. Endogenous nitric oxide protects bacteria against a wide spectrum of antibiotics. Science 325:1380–1384. doi: 10.1126/science.1175439 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Davies BW, Kohanski MA, Simmons LA, Winkler JA, Collins JJ, Walker GC. 2009. Hydroxyurea induces hydroxyl radical-mediated cell death in Escherichia coli. Mol Cell 36:845–860. doi: 10.1016/j.molcel.2009.11.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Fridman O, Goldberg A, Ronin I, Shoresh N, Balaban NQ. 2014. Optimization of lag time underlies antibiotic tolerance in evolved bacterial populations. Nature 513:418–421. doi: 10.1038/nature13469 [DOI] [PubMed] [Google Scholar]
- 61. Crumplin GC, Smith JT. 1975. Nalidixic acid: an antibacterial paradox. Antimicrob Agents Chemother 8:251–261. doi: 10.1128/AAC.8.3.251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Blattman SB, Jiang W, McGarrigle ER, Liu M, Oikonomou P, Tavazoie S. 2024. Identification and genetic dissection of convergent persister cell states. Nature 636:438–446. doi: 10.1038/s41586-024-08124-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Van den Bergh B, Schramke H, Michiels JE, Kimkes TEP, Radzikowski JL, Schimpf J, Vedelaar SR, Burschel S, Dewachter L, Lončar N, Schmidt A, Meijer T, Fauvart M, Friedrich T, Michiels J, Heinemann M. 2022. Mutations in respiratory complex I promote antibiotic persistence through alterations in intracellular acidity and protein synthesis. Nat Commun 13:546. doi: 10.1038/s41467-022-28141-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Pacios O, Blasco L, Bleriot I, Fernandez-Garcia L, Ambroa A, López M, Bou G, Cantón R, Garcia-Contreras R, Wood TK, Tomás M. 2020. (p)ppGpp and its role in bacterial persistence: new challenges. Antimicrob Agents Chemother 64:e01283-20. doi: 10.1128/AAC.01283-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Prax M, Bertram R. 2014. Metabolic aspects of bacterial persisters. Front Cell Infect Microbiol 4:148. doi: 10.3389/fcimb.2014.00148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Shee S, Singh S, Tripathi A, Thakur C, Kumar T A, Das M, Yadav V, Kohli S, Rajmani RS, Chandra N, Chakrapani H, Drlica K, Singh A. 2022. Moxifloxacin-mediated killing of Mycobacterium tuberculosis involves respiratory downshift, reductive stress, and ROS accumulation. bioRxiv. doi: 10.1101/2022.04.04.486929 [DOI] [PMC free article] [PubMed]
- 67. Hong Y, Li Q, Gao Q, Xie J, Huang H, Drlica K, Zhao X. 2020. Reactive oxygen species play a dominant role in all pathways of rapid quinolone-mediated killing. J Antimicrob Chemother 75:576–585. doi: 10.1093/jac/dkz485 [DOI] [PubMed] [Google Scholar]
- 68. Lv B, Huang X, Lijia C, Ma Y, Bian M, Li Z, Duan J, Zhou F, Yang B, Qie X, Song Y, Wood TK, Fu X. 2023. Heat shock potentiates aminoglycosides against gram-negative bacteria by enhancing antibiotic uptake, protein aggregation, and ROS. Proc Natl Acad Sci USA 120:e2217254120. doi: 10.1073/pnas.2217254120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Nang SC, Azad MAK, Velkov T, Zhou QT, Li J. 2021. Rescuing the last-line polymyxins: achievements and challenges. Pharmacol Rev 73:679–728. doi: 10.1124/pharmrev.120.000020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Poirel L, Jayol A, Nordmann P. 2017. Polymyxins: antibacterial activity, susceptibility testing, and resistance mechanisms encoded by plasmids or chromosomes. Clin Microbiol Rev 30:557–596. doi: 10.1128/CMR.00064-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Lang M, Carvalho A, Baharoglu Z, Mazel D. 2023. Aminoglycoside uptake, stress, and potentiation in Gram-negative bacteria: new therapies with old molecules. Microbiol Mol Biol Rev 87:e00036-22. doi: 10.1128/mmbr.00036-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Serio AW, Magalhães ML, Blanchard JS, Connolly LE. 2017. Aminoglycosides: mechanisms of action and resistance, p 213–229. In Mayers DL, Sobel JD, Ouellette M, Kaye KS, Marchaim D (ed), Antimicrobial drug resistance: mechanisms of drug resistance. Vol. 1. Springer International Publishing, Cham. [Google Scholar]
- 73. Firmo EF, Beltrão EMB, Silva FRF da, Alves LC, Brayner FA, Veras DL, Lopes ACS. 2020. Association of blaNDM-1 with blaKPC-2 and aminoglycoside-modifying enzyme genes among Klebsiella pneumoniae, Proteus mirabilis and Serratia marcescens clinical isolates in Brazil. J Glob Antimicrob Resist 21:255–261. doi: 10.1016/j.jgar.2019.08.026 [DOI] [PubMed] [Google Scholar]
- 74. Ontong JC, Ozioma NF, Voravuthikunchai SP, Chusri S. 2021. Synergistic antibacterial effects of colistin in combination with aminoglycoside, carbapenems, cephalosporins, fluoroquinolones, tetracyclines, fosfomycin, and piperacillin on multidrug resistant Klebsiella pneumoniae isolates. PLoS One 16:e0244673. doi: 10.1371/journal.pone.0244673 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Hale SJM, Cameron AJ, Lux CA, Biswas K, Kim R, O’Carroll M, Harris PWR, Douglas RG, Wagner Mackenzie B. 2024. Polymyxin B and ethylenediaminetetraacetic acid act synergistically against Pseudomonas aeruginosa and Staphylococcus aureus. Microbiol Spectr 12:e01709-23. doi: 10.1128/spectrum.01709-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Wagenlehner F, Lucenteforte E, Pea F, Soriano A, Tavoschi L, Steele VR, Henriksen AS, Longshaw C, Manissero D, Pecini R, Pogue JM. 2021. Systematic review on estimated rates of nephrotoxicity and neurotoxicity in patients treated with polymyxins. Clin Microbiol Infect 27:671–686. doi: 10.1016/j.cmi.2020.12.009 [DOI] [PubMed] [Google Scholar]
- 77. Ozyilmaz E, Ebinc FA, Derici U, Gulbahar O, Goktas G, Elmas C, Oguzulgen IK, Sindel S. 2011. Could nephrotoxicity due to colistin be ameliorated with the use of N-acetylcysteine? Intensive Care Med 37:141–146. doi: 10.1007/s00134-010-2038-7 [DOI] [PubMed] [Google Scholar]
- 78. Yousef JM, Chen G, Hill PA, Nation RL, Li J. 2012. Ascorbic acid protects against the nephrotoxicity and apoptosis caused by colistin and affects its pharmacokinetics. J Antimicrob Chemother 67:452–459. doi: 10.1093/jac/dkr483 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Taccone FS, Laterre P-F, Spapen H, Dugernier T, Delattre I, Layeux B, De Backer D, Wittebole X, Wallemacq P, Vincent J-L, Jacobs F. 2010. Revisiting the loading dose of amikacin for patients with severe sepsis and septic shock. Crit Care 14:R53. doi: 10.1186/cc8945 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Boidin C, Jenck S, Bourguignon L, Torkmani S, Roussey-Jean A, Ledochowski S, Marry L, Ammenouche N, Dupont H, Marçon F, Allaouchiche B, Bohé J, Lepape A, Goutelle S, Friggeri A. 2018. Determinants of amikacin first peak concentration in critically ill patients. Fundam Clin Pharmacol 32:669–677. doi: 10.1111/fcp.12374 [DOI] [PubMed] [Google Scholar]
- 81. Parsons JB, Sidders AE, Velez AZ, Hanson BM, Angeles-Solano M, Ruffin F, Rowe SE, Arias CA, Fowler VG, Thaden JT, Conlon BP. 2024. In-patient evolution of a high-persister Escherichia coli strain with reduced in vivo antibiotic susceptibility. Proc Natl Acad Sci USA 121:e2314514121. doi: 10.1073/pnas.2314514121 [DOI] [PMC free article] [PubMed] [Google Scholar]
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