Abstract
Pseudomonas aeruginosa is a leading cause of hospital-acquired infections for which the development of antibiotics is urgently needed. Unlike most enteric bacteria, P. aeruginosa lacks enzymes required to scavenge exogenous thymine. An appealing strategy to selectively target P. aeruginosa is to disrupt thymidine synthesis while providing exogenous thymine. However, known antibiotics that perturb thymidine synthesis are largely inactive against P. aeruginosa.
Here we characterize fluorofolin, a dihydrofolate reductase (DHFR) inhibitor derived from Irresistin-16, that exhibits significant activity against P. aeruginosa in culture and in a mouse thigh infection model. Fluorofolin is active against a wide range of clinical P. aeruginosa isolates resistant to known antibiotics. Metabolomics and in vitro assays using purified folA confirm that fluorofolin inhibits P. aeruginosa DHFR. Importantly, in the presence of thymine supplementation, fluorofolin activity is selective for P. aeruginosa. Resistance to fluorofolin can emerge through overexpression of the efflux pumps MexCD-OprJ and MexEF-OprN, but these mutants also decrease pathogenesis. Our findings demonstrate how understanding species-specific genetic differences can enable selective targeting of important pathogens while revealing trade-offs between resistance and pathogenesis.
Similar content being viewed by others
Main
The discovery of penicillin ushered in a golden era of antibiotic discovery, but the lack of discovery of antibiotics, coupled with a rise in resistance to known antibiotics, is producing a growing public health crisis1,2,3. The Gram-negative opportunistic pathogen, Pseudomonas aeruginosa, is of particular interest for antibiotic development as it has evolved multiple mechanisms to evade antibiotics including a robust outer membrane4,5, multiple efflux pumps6,7,8 and other antibiotic resistance determinants such as carbapenamases9. P. aeruginosa is often associated with chronic infections and the resulting prolonged exposure to antibiotics can have detrimental health effects due to microbiome disruption10,11,12. Most antibiotics do not exhibit substantial efficacy against P. aeruginosa and there are no commercial narrow-spectrum antibiotics that selectively target P. aeruginosa13.
There is mounting evidence for the potential benefits of antibiotics with narrow species selectivity, as they can target pathogens of interest with minimal disruption to the host microbiome14,15. Existing strategies for narrow-spectrum targeting have largely focused on developing drugs whose targets are only present in specific pathogens16,17,18,19,20. However, there are also species-specific genetic and metabolic differences that could hypothetically be exploited to cause antibiotics with widely conserved molecular targets to only kill specific species of interest. In particular, unlike most enteric bacteria, P. aeruginosa lacks thymidine kinase and thymidine phosphorylase activity, and is therefore unable to scavenge thymine from the environment21,22,23 (Fig. 1a). We therefore hypothesized that targeting de novo thymidylate synthesis with concurrent thymine supplementation could selectively target P. aeruginosa.
Dihydrofolate reductase (DHFR) catalyses the production of tetrahydrofolate, which is required for de novo thymidylate synthesis24. There are known DHFR inhibitors, such as the commercially used antibiotic trimethoprim (TMP)25 and Irresistin-16 (IRS-16)26, a compound that can simultaneously disrupt membrane integrity and inhibit DHFR activity. However, P. aeruginosa is intrinsically resistant to all known DHFR inhibitors, including both TMP and IRS-16 (refs. 26,27). Here we characterize a DHFR inhibitor, fluorofolin, that shows potent activity against P. aeruginosa in vitro and in a mouse model. We use fluorofolin to both selectively eliminate P. aeruginosa from mixed-species bacterial cultures and to uncover a trade-off between P. aeruginosa antibiotic resistance and virulence. These studies demonstrate the utility of inhibitors of broadly conserved targets as both narrow-spectrum agents and tools for discovery of context-specific features of pathogenesis.
Fluorofolin inhibits DHFR in P. aeruginosa
P. aeruginosa is resistant to known DHFR inhibitors, such as TMP (minimum inhibitory concentration (MIC) > 100 µg ml−1) and IRS-16 (MIC > solubility limit of ~50 µg ml−1). However, while characterizing fluorofolin, a derivative of IRS-16, we discovered that it exhibited potent activity against P. aeruginosa PA14 (MIC = 3.1 µg ml−1). Fluorofolin has broad-spectrum antibiotic activity, as it was also capable of inhibiting growth of two other strains of P. aeruginosa, PA01 and ATTC 27853, as well as all 5 of the ESKAPE28 pathogens tested at concentrations less than 50 µg ml−1 (Table 1).
Fluorofolin is a pyrroloquinazolinediamine derivative that is functionalized with a 2-fluoropyridine (Fig. 1b). Unlike IRS-16, which is bactericidal26, fluorofolin exhibited bacteriostatic activity in rich media (Fig. 1c). To characterize its mechanism of action, we examined the ability of fluorofolin to directly inhibit the enzymatic activity of purified E. coli DHFR (FolA). Fluorofolin inhibited DHFR activity to half its maximum value (IC50) at a concentration of 2.5 ± 1.1 nM, which was comparable to that of TMP (IC50 of 8.7 ± 3.6 nM) (Fig. 1d). Fluorofolin also exhibited modest specificity for bacterial DHFR in vitro; in an analogous assay using purified human DHFR, fluorofolin had an IC50 of 14.0 ± 4 nM (Fig. 1e).
To test the ability of fluorofolin to inhibit P. aeruginosa DHFR in vivo, we performed metabolomics. As a positive control for DHFR inhibition, we turned to TMP. P. aeruginosa is resistant to TMP at the highest doses tolerated by humans and is thus not clinically useful in targeting P. aeruginosa infections, but we found that TMP can inhibit the growth of P. aeruginosa cultures at very high concentrations in vitro (PA14 MIC = 125 μg ml−1, ~70 times higher than the mean steady-state serum concentration of TMP achievable in serum after clinical use of cotrimoxazole29). Metabolomics demonstrated that both TMP and fluorofolin treatment caused significant upregulation of the purine and dTTP intermediates 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR) and 2’-deoxyuridine 5’-monophosphate (dUMP) in P. aeruginosa (P = 0.0186 and 0.0196, respectively) (Fig. 1f). These results support the conclusion that fluorofolin inhibits folate metabolism in P. aeruginosa cells.
To predict how fluorofolin might interact with P. aeruginosa DHFR, we performed molecular docking. As the structure of P. aeruginosa DHFR has not been solved, we used AlphaFold30,31 to generate a homology model for its three-dimensional structure. We inserted the NADPH cofactor into this structure and aligned it to the experimentally derived structure of NADPH and TMP bound to E. coli DHFR32 (Extended Data Fig. 1a). We then used AutoDock Vina33,34 to predict the binding of P. aeruginosa DHFR to either fluorofolin (Extended Data Fig. 1b) or TMP (Extended Data Fig. 1c). Both fluorofolin and TMP were predicted to bind DHFR in the dihydrofolate binding pocket and fluorofolin was predicted to have a lower binding affinity (−9.104 kcal mol−1) than TMP (−6.8 kcal mol−1). The stronger binding of fluorofolin may be explained by an additional hydrogen bond between Leu23 of P. aeruginosa DHFR and the pyridine group of fluorofolin (Extended Data Fig. 1d) that is not formed with TMP.
As IRS-16 was shown to kill bacteria through both the inhibition of DHFR and disruption of bacterial membranes26, we wanted to test the ability of fluorofolin to permeabilize P. aeruginosa PA14. We observed that fluorofolin does not cause significant disruption of P. aeruginosa PA14 membrane permeability (Extended Data Fig. 2a). We also confirmed that fluorofolin does not cause membrane depolarization or permeabilization in E. coli lptD4213 (ref. 35) (the membrane polarization reporter DiOC2(3) does not work in P. aeruginosa (Extended Data Fig. 2b)). We hypothesized that this lack of membrane targeting might also decrease toxicity. As predicted, fluorofolin did not cause significant permeabilization of red blood cell membranes at biologically relevant concentrations (Extended Data Fig. 2c) and displayed less toxicity than IRS-16 towards several mammalian cell types, including a 9.6-fold increase in IC50 against PBMCs and a 58.5-fold increase in IC50 against WI-38 cells compared with IRS-16 (Extended Data Fig. 2d).
As fluorofolin and TMP exhibit similar functional inhibition of purified DHFR, we wanted to investigate why fluorofolin was better at inhibiting P. aeruginosa growth. We hypothesized that fluorofolin may better accumulate inside of P. aeruginosa. P. aeruginosa is particularly drug resistant due to its robust outer membrane and expression of multiple RND-type efflux pumps36. Using mass spectrometry to measure drug accumulation37,38, we found that fluorofolin accumulated in P. aeruginosa more rapidly (Fig. 1g) and to higher levels (Fig. 1h) than TMP. It was previously shown that the constitutively active efflux pump MexAB-OprM can export TMP27. We confirmed that PA14 mutants with disruptions in mexA, mexB and oprM showed large reductions in MIC to TMP. However, these mutants did not decrease their MIC against fluorofolin to the same extent (Extended Data Table 1), suggesting that the increased accumulation of fluorofolin is in part due to decreased efflux of fluorofolin by MexAB-OprM. We also note TMP still had a higher MIC than fluorofolin in mexA, mexB and oprM mutants, suggesting that fluorofolin may not be a good substrate for other efflux pumps or may improve other features of cell accumulation such as membrane penetrance.
Fluorofolin inhibits murine thigh infection of P. aeruginosa
We next sought to determine whether fluorofolin has activity in an in vivo mouse infection model. In mice, fluorofolin displayed favourable plasma protein binding (71.7% bound, 91.9% recovery, Extended Data Table 2). Upon oral administration, fluorofolin achieved a peak concentration of 4.0 μg ml−1 with a half-life of 12.1 h (Fig. 2a). Because the peak plasma concentration was so near the MIC for PA14 (3.1 μg ml−1), we sought to further potentiate fluorofolin’s antibiotic activity. Sulfamethoxazole (SMX) is a known potentiator of DHFR inhibitors that acts by inhibiting the synthesis of the DHFR substrate, dihydrofolic acid39. The combination of fluorofolin and SMX exhibited significant synergy in PA14 (Fig. 2b). Specifically, in the presence of well-tolerated doses of SMX (156 μg ml−1), the MIC of fluorofolin was reduced to 0.4 μg ml−1 (Fig. 2b), establishing a promising therapeutic window with respect to concentration of fluorofolin achievable in vivo.
To investigate the ability of fluorofolin to clear P. aeruginosa infection in vivo, we utilized a murine thigh infection model of PA14. We administered fluorofolin subcutaneously at the maximum tolerated dose (25 mg kg−1) along with a dose of SMX that has been previously established to be clinically relevant40 (100 mg kg−1 intraperitoneally) and measured PA14 load after 24 h. The combination of fluorofolin and SMX significantly inhibited the growth (P < 0.0001) of PA14 compared with both no treatment and SMX alone (Fig. 2c). To support the feasibility of thymidine supplementation in vivo, we performed an additional mouse P. aeruginosa infection model in which we included a group of mice fed with a thymidine-supplemented diet starting at 2 days before infection. This group also showed a significant reduction in P. aeruginosa after 24 h compared with untreated mice (Fig. 2d).
Fluorofolin selectively targets P. aeruginosa with exogenous thymine
Supplementation of media with thymine, methionine and inosine (TMI) can rescue DHFR-mediated growth inhibition by TMP in E. coli41. We confirmed that fluorofolin inhibition of E. coli MG1655 growth could also be rescued with TMI supplementation (Fig. 3a); however, TMI supplementation was unable to rescue P. aeruginosa PA14 from fluorofolin treatment (Fig. 3b). These results are consistent with fluorofolin functioning as a broad-spectrum DHFR inhibitor and P. aeruginosa lacking the enzymes required for utilizing exogenous thymine. To test the hypothesis that inhibiting DHFR in the presence of thymine would selectively inhibit the growth of P. aeruginosa, we co-cultured E. coli MG1655 and P. aeruginosa PA14 in the presence of TMI supplementation. In these conditions, fluorofolin selectively inhibited the growth of P. aeruginosa but not E. coli, as quantified by plating on selective media (Fig. 3c). In addition to the c.f.u. counts, the selective killing of P. aeruginosa was evident in thymine-supplemented liquid cultures as P. aeruginosa cultures exhibit a characteristic blue-green hue from pyocyanin production that disappeared upon fluorofolin treatment (Fig. 3d). To demonstrate that the narrow-spectrum nature of fluorofolin is not specific to E. coli, we demonstrated that other species including S. epidermidis, E. cloacae, E. faecalis, K. pneumoniae and S. aureus could also be rescued from fluorofolin growth inhibition by TMI supplementation (Extended Data Fig. 3a–e). Rescue from fluorofolin inhibition was also shown in E. coli lptd34213 using thymidine supplementation alone (Extended Data Fig. 3f), as well as in the presence of relevant concentrations of SMX (Extended Data Fig. 3g). These results support the conclusion that P. aeruginosa PA14 is unusual in its inability to salvage exogenous thymine and demonstrate that thymine supplementation can convert fluorofolin from a broad-spectrum antibiotic to a narrow-spectrum antibiotic.
Fluorofolin resistance attenuates P. aeruginosa virulence
One of the hallmarks of the fluorofolin parent compound, SCH-79797, was a lack of observable resistance due to a dual-targeting mechanism of action26. Because fluorofolin acts solely as a DHFR inhibitor, we hypothesized that resistance to fluorofolin could more readily occur. We were indeed able to isolate two different fluorofolin-resistant mutants of P. aeruginosa PA14. One type of fluorofolin-resistant mutant was isolated by plating 108 cells onto LB agar plates containing 4× MIC fluorofolin. Resistance frequency on these plates was 1 in 1.5 × 106 cells. While this mutation frequency is high, whole-genome sequencing of these resistance mutants revealed that all the mutants mapped to a singular protein-coding gene, nfxB. Of the 8 mutants sequenced, 6 had a T39P point mutation, 1 had an L29R point mutation and 1 had a premature stop codon at amino acid 115. We confirmed fluorofolin resistance of nfxB mutants in liquid culture (MIC > 100 μg ml−1).
NfxB is a transcriptional regulator protein that represses expression of the MexCD-OprN efflux pump7. We confirmed that our nfxB mutants cause upregulation of MexCD-OprN using RNA-seq (Fig. 4a). P. aeruginosa nfxB mutants have also been shown to confer resistance to other antibiotics, including ciprofloxacin37. As expected, we confirmed that the fluorofolin-resistant nfxB T39P mutants were also cross-resistant to ciprofloxacin (Fig. 4b). Since the same mutations can confer resistance to fluorofolin and ciprofloxacin, we determined whether the two antibiotics also have similarly high resistance frequency in our resistance plating assay. Resistance to ciprofloxacin was even more frequent than that of fluorofolin (P = 0.042) (Fig. 4c). Fluorofolin also had significantly lower resistance frequency than meropenem (P = 0.0342) and similar levels of resistance to gentamycin. These resistance frequencies are higher than expected of a clinically used antibiotic such as ciprofloxacin, but below we demonstrate that they probably do not represent the resistance frequency observed in vivo.
Our animal infection study suggested that fluorofolin should be co-administered with SMX (Fig. 2). We thus examined the rate of resistance to fluorofolin–SMX combination treatment. To do so, we plated 109 c.f.u.s on 10 plates containing 4× MIC of fluorofolin and the lowest concentration of SMX at which we observed synergy (78.1 μg ml−1). In these conditions, we were unable to isolate resistance mutants, indicating that the resistance frequency is below our level of detection (<1 in 1010).
The other class of fluorofolin-resistant mutant isolated arose through serial passaging of P. aeruginosa PA14 at 0.5× MIC fluorofolin for 10 passages. Whole-genome sequencing revealed that the only protein-coding mutation in these mutants was a point mutation in mexS L46F (MIC = 62.5 μg ml−1). MexS is an oxidoreductase that represses MexT, which in turn induces expression of another efflux pump, MexEF-OprJ42. We confirmed that our mexS mutant caused upregulation MexEF-OprJ (Fig. 4d) using RNA-seq.
We next explored the physiological impacts of the nfxB and mexS efflux pump upregulation mutants. The nfxB and mexS mutants had significantly decreased production of the quorum sensing phenazine pyocyanin (P = 0.0001 and P = 0.0006, respectively) compared with wildtype PA14 (Fig. 4e). Efflux pump overexpression could increase secretion of quorum sensing precursors, thereby inhibiting the accumulation of the quorum sensing molecules themselves. We found that pyocyanin production could be partially rescued by addition of the quorum sensing molecule, Pseudomonas quinolone signal (PQS) (Fig. 4e), which is known to both induce pyocyanin and have precursors that are susceptible to efflux43,44. Quorum sensing and pyocyanin are known to affect P. aeruginosa virulence, suggesting that the fluorofolin-resistant mutants could also affect P. aeruginosa pathogenesis. Both fluorofolin-resistant mutants were significantly less virulent than WT PA14 (P < 0.0001) in a C. elegans N2 infection model (Fig. 4f), which correlates well with mammalian pathogenicity45. These results suggest that there is a trade-off between fluorofolin resistance and virulence in P. aeruginosa.
Fluorofolin resistance is limited in clinical isolates
If there is a trade-off between fluorofolin resistance and virulence in vivo, we would predict that most clinical isolates of P. aeruginosa, which are known to be virulent, should be susceptible to fluorofolin6. To investigate the predominance of fluorofolin resistance in clinical P. aeruginosa isolates, we obtained the CDC and FDA Antibiotic Resistant P. aeruginosa Isolate Bank46 (strains 1–55) and 22 clinical isolates from blood stream infections (strains 56–77)47. Only 10.4% of these clinical isolates were resistant to fluorofolin at 50 μg ml−1. None of the 22 blood isolates and only 8 of the 55 CDC isolates (which are specifically enriched for antibiotic-resistant isolates) were resistant to fluorofolin. The resistance frequency to fluorofolin compared favourably with the clinically used antibiotics ciprofloxacin, gentamycin and meropenem, which had resistance frequencies of 15.6%, 35.0% and 74.0%, respectively, in the same strains (Fig. 4g). While no folate inhibitors are in clinical use against P. aeruginosa, we found that all of the eight fluorofolin-resistant clinical isolates in our collection had a multidrug resistance cassette containing a dfrB5 integron with a mutant allele of DHFR known to confer clinical resistance to TMP in Klebsiella pneumoniae46. This result confirms DHFR as the physiological target of fluorofolin in vivo and demonstrates that while DHFR mutations can result in fluorofolin resistance, such mutations are rare among existing P. aeruginosa clinical isolates. Finally, we found that not all TMP-resistant DHFR mutations confer cross-resistance with fluorofolin, as strains 7, 18 and 23 of the CDC panel are fluorofolin-sensitive despite having dfrB2, another TMP-resistant DHFR allele.
Importantly, while our nfxB efflux pump overexpression strain showed cross-resistance to both fluorofolin and ciprofloxacin (Fig. 4b), none of the P. aeruginosa isolates in our collection demonstrated cross-resistance to both antibiotics (Fig. 4f). This result supports our hypothesis that in P. aeruginosa, efflux pump upregulation readily confers antibiotic resistance in vitro, but that such mutations rarely accumulate in clinical settings. We were also encouraged to observe that P. aeruginosa clinical isolates expressing KPC-5 and NDM-1 carbapenemase genes, which are considered by the CDC to be critical targets of antibiotic research and development48, remained sensitive to fluorofolin. Thus, while the rate at which fluorofolin resistance might emerge upon treatment in vivo remains to be determined, fluorofolin appears to be effective against most existing P. aeruginosa clinical isolates, including those of significant clinical interest.
Discussion
P. aeruginosa is a leading cause of nosocomial infections for which antibiotic development is urgently needed. P. aeruginosa infections are typically first treated with the fluroquinolone, ciprofloxacin49. However, more than 40% of P. aeruginosa clinical isolates are reported to be resistant to ciprofloxacin, diminishing clinical options49. Furthermore, ciprofloxacin and other antibiotics currently used for P. aeruginosa (such as piperacillin-tazobactam) are broad-spectrum, disrupting the host microbiome in a manner that often does not fully recover after treatment12,50. There is consequently an urgent need for compounds that are both narrow spectrum for P. aeruginosa and effective against existing multidrug-resistant strains.
Here we identify an antibiotic compound, fluorofolin, capable of inhibiting the growth of P. aeruginosa through potent DHFR inhibition. Fluorofolin is effective both in vitro and in a mouse thigh infection model. Fluorofolin represents the first folate inhibitor that is effective at tolerated doses in P. aeruginosa. Fluorofolin’s activity in P. aeruginosa highlights the well-known but often overlooked point that target engagement is not the only important factor to consider in developing antibiotics. The IC50 of fluorofolin and TMP against E. coli DHFR are comparable in vitro. However, fluorofolin has superior accumulation in P. aeruginosa, allowing it to better access its target within the bacteria. Designing antibiotics on the basis of their capacity to be effluxed by the MexAB-OprM efflux pump may also be a viable strategy to revive antibiotics with no intrinsic activity against P. aeruginosa.
Fluorofolin’s ability to target P. aeruginosa also enabled us to demonstrate that P. aeruginosa, which lacks the ability to scavenge exogenous thymine present in most other bacterial species, can be selectively targeted by DHFR inhibition in the presence of thymine supplementation. While resistance to fluorofolin is possible, common mechanisms of resistance also confer a decrease in bacterial virulence and most clinical isolates of P. aeruginosa are susceptible to fluorofolin. The clinical isolates resistant to fluorofolin all express a mutant DHFR, dfrB5. The spread of dfrB5 among clinical isolates could be a potential concern for the clinical development of fluorofolin. However, as TMP has not been used to treat P. aeruginosa infection, we predict that these alleles are not very widespread among existing P. aeruginosa isolates, and it is possible that co-treatment with SMX will mitigate this issue.
Recent studies have highlighted the importance of microbiome integrity for multiple aspects of human health, including metabolic and immune system regulation51,52. Broad-spectrum antibiotics can disrupt the microbiome leading to dysbiosis, highlighting the need for more targeted antibiotic approaches15,53. Traditional efforts to develop narrow-spectrum antibiotics have focused on targeting features that are specifically present in a bacterial species of interest. Here, however, we exploit the specific absence of a thymine salvage pathway in P. aeruginosa to show that a broad-spectrum inhibitor of folate synthesis can selectively inhibit the growth of this important pathogen through thymine supplementation. Most human commensal bacteria have thymine kinase homologues22,23 and we confirmed that multiple bacterial species’ sensitivity to fluorofolin can be rescued by thymine supplementation. We note that a few other bacterial species also lack thymine kinase, including the human pathogens Helicobacter pylori22,54 and M. tuberculosis23, suggesting that these pathogens could also be selectively targeted using a similar approach. Actinomycetes and their closely related genera Corynebacterium, Mycobacterium and Rhodococcus have also been shown to lack thymidine kinase activity23, but these bacteria represent a small subset of those present in the human microbiome and are predominantly found within skin communities55. In humans, thymidine supplementation has been shown to be safe and is routinely used to reduce toxicity associated with methotrexate treatment56.
In contrast to its parent molecules, SCH-79797 and IRS-16 (ref. 26), fluorofolin lacks the ability to disrupt bacterial membranes. This divergence in activity improves the therapeutic index of fluorofolin, probably due to reduced off-target effects on mammalian membranes. However, this change in mechanism of action also allows for resistance against fluorofolin to develop more easily. In vitro, we were able to isolate two fluorofolin-resistant mutants, which were both attributed to the overexpression of efflux pumps (MexCD-OprJ in one mutant and MexEF-OprN in the other). MexCD-OprJ overexpression has been shown to confer resistance to cefpirome and quinolones6, while MexEF-OprN overexpression has been shown to confer resistance to imipenem, chloramphenicol and quinolones42.
While fluorofolin-resistant mutants that overexpress efflux pumps could be readily isolated in vitro, we also find that these mutants have significantly reduced virulence, which would explain their low frequency in pathogenic clinical isolates. These findings are consistent with studies from P. aeruginosa PAO1 demonstrating that overexpression of efflux pumps decreases type III secretion57, secretion of virulence factors58 and swarming8. MexCD-OprJ has been suggested to efflux 2-heptyl-4-quinolone (HHQ)59 while MexEF-OprN has been suggested to efflux kynurenine44. HHQ and kynurenine are precursors of PQS, a key molecule in regulating Pseudomonas quorum sensing and virulence60. Together, these data suggest that high efflux pump levels secrete quorum sensing precursors, preventing the synthesis of quorum sensing molecules that promote virulence and thereby reducing virulence. In support of this hypothesis, we demonstrated that addition of exogenous PQS was able to partially restore pyocyanin production to the fluorofolin-resistant mutants. Finally, mutants in MexCD-OprJ are hypersusceptible to imipenem61 while mutants in MexEF-OprN are hypersusceptible to aminoglycoside and β-lactams42, such that combination therapies of fluorofolin with traditional antibiotics may also prove effective at addressing any residual resistance to fluorofolin. It may also be possible to further modify the fluorofolin scaffold to select for derivatives with decreased propensity to be effluxed by these pumps.
The prevalence of efflux pump upregulation in P. aeruginosa clinical isolates is an important subject that will require additional investigation. Among the clinical isolates examined in this study, we did not observe any cross-resistance to both ciprofloxacin and fluorofolin, suggesting that there was no efflux pump upregulation. These findings are consistent with a different study reporting that mutants that upregulate efflux pumps are rarely isolated from P. aeruginosa clinical samples6. However, there are also reports of elevated efflux pump expression in P. aeruguniosa isolates from cystic fibrosis patients62. It remains unclear whether this difference is specific to cystic fibrosis or whether there are other contexts in which efflux pump mutants survive in the host. To address scenarios in which efflux pump upregulation does prove to be prevalent, it will be interesting to explore the potential benefits of antibiotic cycling or combinations as a means to exploit these mutants’ collateral sensitivity to other antibiotics63,64.
Methods
Experimental models and subject details
Bacterial strains and growth conditions
Bacterial strain information is provided in Table 1. Where listed, growth media were prepared according manufacturer recommendations: LB broth and LB broth supplemented with 0.3 mM thymine (BD Biosciences 244610, Alfa Aesar A15879), 0.3 mM methionine (Sigma-Aldrich M9625), 0.3 mM inosine (EMD Millipore 4060), cation-adjusted Mueller–Hinton II broth (CAMHB) (BD 212322) or 0.3 mM thymidine (Sigma-Aldrich T1895), Gutnick minimal media (1.0 g l−1 K2SO4, 13.5 g l−1 K2HPO4, 4.7 g l−1 KH2PO4, 0.1 g l−1 MgSO4·7H2O, 10 mM NH4Cl as a nitrogen source and 0.4% w/v glucose as a carbon source)65.
Animal models
For pharmacokinetics determination, care and handling of male CD-1 mice approximately 6–8 weeks old conformed to institutional animal care and use policies as carried out at Pharmaron.
For P. aeruginosa thigh infection model and maximum tolerated dose (MTD) studies, care and handling of female 5–6-week-old CD-1 conformed to Institutional Animal Care and Use Committee (IACUC) policies as carried out at the University of North Texas Health Science Center (Fort Worth, Texas) under UNTHSC IACUC-approved protocol nos. IACUC-2021-0003 and IACUC-2020-0039. Rodents were fed either base chow (Envigo) or base diet supplemented with 1.8 g kg−1 thymidine (Sigma T9250) starting at 2 days before infection. All procedures were conducted in accordance with the UNTHSC IACUC-approved protocol. Animals were housed in rooms undergoing 10–15 air changes per hour. Air provided to the animal rooms was controlled for temperature and humidity and is fully monitored 24 h a day. Air pressure was balanced according to room use. Lighting was controlled in individual rooms by automatic timers with a standard 12 h on, 12 h off cycle.
MIC results
MIC was defined as the lowest concentration of antibiotic at which no visible growth was detected after 16 h at 37 °C. Overnight cultures were diluted 1:150 in LB broth and added to a 96-well plate. Antibiotics were serially diluted 1:2 and added to columns of the 96-well plate and grown at 37 °C with continuous shaking. Cell growth was measured using optical density at 600 nm (OD600). MIC assays were performed in either BioTek Synergy HT or Tecan InfiniteM200 Pro microplate readers.
For MIC calculations performed by WuXi, MIC was calculated as the lowest concentration that inhibits visible growth after 18 h. Bacterial colonies (4–8) of strains of interest were vortexed in saline and adjusted to an OD600 of 0.2. Strains were diluted 1:200 into CAMHB media in 96-well plates. Antibiotics were serially diluted 1:3 in DMSO, and 1 μl of each dilution was added to bacteria. The plates were incubated for 18–20 h at 37 °C before observation.
Colony-forming units counting
P. aeruginosa PA14 overnight cultures were diluted 1:100 and grown to exponential phase (OD600 = 0.4–0.6). Cultures were diluted 1:10 and treated with antibiotic. At each time point, 150 μl of culture was removed, serial diluted 1:10 six times and plated onto LB agar plates. Plates were grown overnight at 37 °C, after which visible colonies were counted. C.f.u.s ml−1 are reported from dilutions in which ~10–100 single colonies were visible.
Membrane potential and permeability assay
Overnight P. aeruginosa PA14 or E. coli lptD4213 cultures were diluted 1:100 and grown to mid exponential phase at 37 °C. Cultures were diluted 1:10 into PBS and treated with antibiotics for 15 min. P. aeruginosa PA14 was stained with TO-PRO-3 (640 nm excitation, 670/30 nm emission) to measure cell membrane integrity. E. coli lptD4213 was stained with both TO-PRO-3 and DiOC2(3) (ThermoFisher B34950) to measure cell membrane integrity and membrane potential. DiOC2(3) was evaluated as a ratio of green (488 nm excitation, 525/50 nm emission) to red (488 nm excitation, 610/20 nm emission)66. The LSRII flow cytometer (BD Biosciences) at the Flow Cytometry Resource Facility, Princeton University, was used to measure the fluorescent intensities of both dyes in response to antibiotic treatment. 100,000 events were recorded for each data file. Gates for permeabilization were determined using polymixin B (Sigma-Aldrich P1004) and untreated controls. Gates for depolarization were determined using carbonyl cyanide m-chlorophenyl hydrazone (CCCP) as a positive control. Data were analysed using FlowJo v.10 software.
MexAB-OprM transposon mutants
P. aeruginosa PA14 transposon mutants were generated by the Ausubel Lab (https://pa14.mgh.harvard.edu/cgi-bin/pa14/home.cgi)67. The MICs of fluorofolin and TMP against strains with disrupted MexA, MexB and OprM were determined as above and compared to the parental strain. As transposon mutants in MexB were represented twice in this collection, the MIC was confirmed across both mutant strains.
Haemolysis
Defibrinated sheep red blood cells (Lampire 50414518) were diluted to 6 × 106 cells per ml, pelleted and washed 3× with PBS. Samples were treated at 37 °C with shaking for 1 h and then centrifuged. Supernatants were collected and absorbances were measured at 405 nm in a Tecan InfiniteM200 Pro microplate reader. Percentage haemolysis was calculated compared to 100% lysis by Triton X-100 (1% v/v) (Sigma-Aldrich X100RS).
Mammalian cell cytotoxicity
HK-2 (500 cells per well) (ATCC CRL-2190), HLF (500 cells per well) (Cell Applications 506K-05a), WI-38 (500 cells per well) (ATCC CCL-75) or PBMC (5,000 cells per well) (TPCS PB010C) cells were seeded in white opaque 384-well plates. After 24 h, DMSO or compounds were added in 3-fold dilutions and cells incubated for 72 h. For PBMC, CellTiter-Glo reagent was added in equal volume and incubated for 30 min, after which luminescence was read. For other cell types, CyQUANT detection reagent was added in equal volume and cells incubated for 1 h, after which fluorescence was read with standard green filter set (508/527 nm excitation). Cell toxicity was evaluated by Pharmaron.
Metabolomics
Overnight P. aeruginosa PA14 cultures were diluted 1:150 in Gutnick minimal media and grown to early–mid exponential phase (OD600 = 0.4–0.6). Cultures were treated with either 6.3 μg ml−1 fluorofolin (2× MIC) or 250 μg ml−1 trimethoprim (2× MIC) (Chem-Impex 01634) for 15 min. Metabolites were extracted by vacuum filtering 15 ml of treated cells using 0.45 μm HNWP Millipore nylon membranes and placing the filters into an ice-cold quenching solution of 40:40:20 methanol:acetonitrile:H2O. Extracts were kept on dry ice for 1 h and centrifuged at 16,000 g for 1 h at 4 °C. The supernatant was kept at −80 °C until mass spectrometry analysis.
Liquid chromatography–mass spectrometry (LC–MS) analysis of metabolites was performed on an Orbitrap Exploris 240 mass spectrometer coupled with hydrophilic interaction liquid chromatography (HILIC)68. HILIC was on an XBridge BEH Amide column (2.1 mm × 150 mm, 2.5 μM particle size; Waters 196006724), with a gradient of solvent A (95 vol. % H2O, 5 vol. % acetonitrile, with 20 mM ammonium acetate and 20 mM ammonium hydroxide, pH 9.4) and solvent B (acetonitrile). Flow rate was 0.15 ml min−1 and column temperature was set at 25 °C. The LC gradient was: 0–2 min, 90% B; 3–7 min, 75% B; 8–9 min, 70% B; 10–12 min, 50% B; 12–14 min, 25% B; 16–20.5 min, 0.5% B; 21–25 min, 90% B. The orbitrap resolution was 180,000 at an m/z of 200. The maximum injection time was 200 ms and the automatic gain control target was 1,000%. Raw mass spectrometry data were converted to mzXML format by MSConvert (ProteoWizard). Pick-peaking was done on El Maven (v.0.8.0, Elucidata).
In vitro DHFR E. coli
As described previously26, purified E. coli dihydrofolate reductase (FolA) was purified by Genscript. Enzyme activity was measured on a QuantaMaster 40 spectrophotometer (Photon Technology) using the DHFR reductase assay kit with slight modifications. E. coli FolA was diluted 1:1,000 into 1× assay buffer. Of this mixture, 100 μl with or without compound was added to a BRAND UV cuvette (Sigma-Aldrich BR759200) and sample transmitted light intensity at 340 nm was measured for 100 s at 1 kHz sampling. Readings were averaged for every 1 Hz and the activity of each sample was calculated from the slope (β) of a linear regression of the log-transformed intensity measurements on MATLAB R2022B. To account for enzyme stability, measurements were normalized to a standard condition (60 μM NADPH and 100 μM DHF) measured immediately before the sample of interest. The relative activity was calculated as (βsample − βnoEnzyme)/(βstandard − βnoEnzyme).
Human DHFR in vitro assay
Human purified DHFR was purchased from R&D Systems (8456-DR). DHFR activity was assayed by monitoring the decrease in absorbance by NADPH at 340 nM. DHFR enzyme (0.5 µg ml−1), dihydrofolic acid (100 µM) and different concentrations of methotrexate, fluorofolin or DMSO control were dissolved in 200 µl of Tris buffer (pH 7.5, Tris salt concentration 25 mM). Reaction was initiated by adding NADPH in a 10× stock (1 mM for a final concentration of 100 µM), and absorbance at 340 nM was monitored over time using a Cytation 5 reader (Agilent). Activity was normalized to the DMSO control.
Molecular docking
As the structure of P. aeruginosa DHFR has not been solved, we used AlphaFold30,31 to derive the enzyme’s three-dimensional structure from its sequence (UniProt ID: 6XG5)32. Following the acquisition of the protein structure, we introduced the coenzyme NADPH to the structure, aligning it on the experimentally characterized human DHFR in a complex with IRS-17, providing a structural reference for subsequent steps.
The structures of fluorofolin and trimethoprim were translated from SMILES representation using the RDKit chemoinformatic package. After preparing the enzyme, coenzyme and ligand structures, we defined a cubic grid box of dimensions 20 × 20 × 20 Å centred around the active site of the reference human DHFR–IRS-17 complex. This box serves as the search space for potential binding sites in our docking simulations. We executed the docking simulation using the AutoDock Vina33,34 forcefield, with an exhaustiveness parameter set to 64 to ensure comprehensive sampling of the search space.
Checkerboard assay
Cells were seeded in a similar manner as described above for MIC calculations. Sulfamethoxazole (Chem-Impex 00821) was diluted 1:2 down the rows of the plate, while fluorofolin was diluted 1:2 down the columns of the plate. Fractional inhibitory concentrations (FICs) were calculated as [fluorofolin]/MICFluorofolin + [SMX]/MICSMX, where [fluorofolin] and [SMX] are the concentrations of compounds in a given well, which were divided by the concentration of drug at the MIC for each compound. FIC values less than or equal to 0.5 were considered synergistic.
Growth competition assay
Overnight cultures of P. aeruginosa PA14 or E. coli MG1655 were diluted 1:150 into LB broth in the presence of DMSO or 50 µg ml−1 fluorofolin with or without TMI supplementation and grown for 16 h at 37 °C. Cultures of each species were grown separately as well as being mixed 1:1. Cultures were plated onto LB agar or Pseudomonas Selection Agar (Sigma-Aldrich 17208) and c.f.u. counting was caried out as described above. To control for appropriate Pseudomonas selection, E. coli MG1655 was plated onto Pseudomonas Selection Agar and an absence of colonies was observed. The number of colonies on Pseudomonas Selection Agar plates is reported as the c.f.u. ml−1 of P. aeruginosa. To calculate c.f.u.s ml−1 of E. coli MG1655, c.f.u.s ml−1 were determined from LB agar plates and the c.f.u.s ml−1 of P. aeruginosa were subtracted from these values.
Drug accumulation assay
Overnight PA14 cultures were back-diluted to early–mid exponential phase (OD600 = 0.4–0.6). The assay was initiated with treatment of the culture with either 5.0 µM fluorofolin or 5.0 µM trimethoprim. A DMSO-treated culture was utilized as a control. At time points of 30, 60 and 90 min, a 10 ml aliquot was collected out of the 120 ml parent culture (in triplicate) and pelleted by centrifugation at 2,000 g at 4 °C. The supernatant was then removed and the pellet was washed with ice-cold 0.85% NaCl solution. Following suspension of the cell pellet in 1 ml of 2:2:1 CH3CN:MeOH:H2O, samples were subjected to four cycles of freeze-thaw cell lysis using dry ice in 95% ethanol/ice water. Before each freeze phase, samples were vortexed for 10 s to ensure adequate mixing. Samples were subsequently pelleted at 16,000 g for 5 min, with the supernatant being subjected to filtration using a 0.22 µm SpinX centrifuge tube filter. The resulting cell lysate samples were analysed, utilizing verapamil as an internal standard. For LC–MS analysis, sample components were separated using a Chromolith SpeedRod column, using a gradient of 10–100% CH3CN/H2O acidified with 0.1% (v/v) formic acid, with an Agilent 1260 liquid chromatograph coupled to an Agilent 6120 quadruple mass spectrometer.
Compound accumulation was realized using the selective ion monitoring mode to quantify peak integration for a compound and the internal standard using their respective m/z values. Compound peaks were confirmed using a scanning mode that detected the compound peak using an m/z range of 100–1,000. Peak area integration values were determined and a ratio of the peak area for the compound to the peak area for the verapamil internal standard was calculated, and compound concentration was then determined from the compound calibration curve. The calculated concentration of the compound in each sample was then normalized using the bacterial culture OD600 value. Compound accumulation versus time plots were generated using GraphPad Prism v.9.4.1. Compound accumulation area under the curve (AUC, calculated in Microsoft Excel v.16.65) was determined for each bacterial strain–compound combination and these were compared via statistical analysis (unpaired t-test) in GraphPad Prism v.9.4.1.
Fluorofolin resistance screens
For resistance passaging, P. aeruginosa PA14 was grown overnight at 37 °C in a 96-well plate similarly to MIC assays in duplicate. The wells corresponding to 0.5× MIC was selected and struck out on LB agar plates in the absence of antibiotic to select for stable resistance. Single colonies were picked and inoculated into fresh LB broth. This process was repeated for a total of ten passages. At each passage, the MIC was recalculated and compared to a culture that had not been previously exposed to fluorofolin, which was also grown as a control to confirm antibiotic potency. Cells from each passage were stored as a frozen stock.
To isolate resistant mutants on a plate, 108 c.f.u.s of P. aeruginosa PA14 were plated on LB agar plates containing 4× MIC fluorofolin, ciprofloxacin, meropenem or gentamycin. We plated 109 c.f.u.s on 10 plates containing 4× MIC fluorofolin with 4× the minimal concentration of SMX at which synergy was observed. Plates were grown at 37 °C for 48 h, after which individual colonies were picked and restruck onto fresh plates and grown at 4× MIC of the relevant antibiotic LB broth to confirm resistance. Resistant mutants were maintained as a frozen stock.
To confirm the identity of resistance mutations, whole-genome sequencing was performed and compared to the parental strain of PA14. Briefly, genomic DNA was isolated from a strain of interest using the DNeasy blood and tissue kit (Qiagen 69504). Once DNA was extracted and its quality was confirmed, the DNA was sequenced using an Illumina NextSeq 2000 system. Sequencing and variant calling were performed at SeqCenter.
RNA sequencing
RNA was extracted from overnight cultures of wildtype PA14 or mutant strains. Cultures were pelleted at 4 °C, resuspended in Trizol (Ambion 10296010) and incubated at 65 °C before addition of chloroform. The aqueous layer was collected and RNA was isolated using a mirVana RNA extraction kit (ThermoFisher AM1560). DNAse treatment was performed on RNA using recombinant DNase I (Sigma-Aldrich 04716728001). RNA samples were sent to SeqCenter for sequencing using the Illumina Stranded RNA library preparation with RiboZero Plus rRNA depletion kit.
Pharmacokinetic analysis
Pharmacokinetic properties were determined after a single dose of 200 mg kg−1 fluorofolin given orally (PO). Plasma samples were taken from three mice at times 0.083, 0.25, 0.5, 1, 2, 4, 8 and 24 h, and quantitative analysis was performed using LC–MS/MS. Half-life was determined from plasma concentration after fluorofolin levels reached pseudo-equilibrium (4 h for mouse 1 and 2, and 2 h for mouse 3). Pharmacokinetic values were estimated using a non-compartmental model generated from WinNonlin 6.1. Pharmacokinetic analysis was carried out by Pharmaron.
Serum binding
Fluorofolin (1 μM) was added to a mouse plasma solution or to a buffer-only control. An initial t = 0 sample was collected. Fluorofolin was incubated with plasma for 6 h, after which dialysis was performed. After dialysis, supernatant was collected and the amount of fluorofolin was determined by LC–MS/MS to determine the percentage of unbound fluorofolin. Serum binding parameters were determined as follows:
-
1.
% Bound = 100% − % Unbound
-
2.
logK = log(% Bound/100 − % Bound)
-
3.
% Remaining = Area-ratio6h/Area-ratio0h × 100%
-
4.
% Recovery was determined as (Area-ratiobuffer-chamber + Area-ratioplasma-chamber)/(Area-ratiototal sample) × 100
Serum binding analysis was performed by Pharmaron.
C. elegans maintenance and toxicity assay
C. elegans N2 worms were maintained on E coli OP50-coated nematode growth medium (NGM) plates before experiments. For P. aeruginosa-coated plates, overnight cultures were diluted to OD600 = 1, spread onto NGM plates, incubated overnight at 37 °C and equilibrated to 25 °C. To synchronize worms for virulence assays, young adult hermaphrodites were bleached to obtain eggs and synchronized L4 worms were collected at 2 days post bleaching. For virulence assays, synchronized L4 worms were transferred to P. aeruginosa plates. Worms were counted at time t = 0, 30, 40, 50 and 60 h to assess viability. Worms were declared dead if they lacked movement after being gently poked with forceps. P values were calculated using a Mantel–Cox test in Prism 9 to compare mutant virulence to wildtype PA14 virulence.
Clinical isolate panels
Clinical isolates46 were inoculated into LB broth in a 96-well flat-bottom plate and grown overnight to stationary phase at 37 °C. The following day, strains were diluted 1:150 into fresh LB broth with fluorofolin or ciprofloxacin at 50 µg ml−1 or vehicle control wells and incubated at 37 °C overnight. Percent growth was calculated by dividing the OD600 of fluorofolin antibiotic-treated wells by that of vehicle-only wells.
Pyocyanin production
Overnight cultures of PA14, PA14 ΔpqsA69 and each mutant were grown in biological triplicate and the OD600 of the cultures were measured. Cell-free supernatants were calculated by centrifugation, and 100 μl were added to a 96-well plate in duplicate. The integrated absorbance spectrum from 306 to 326 nm was taken in a Tecan InfiniteM200 Pro plate reader to determine pyocyanin levels in each sample. A ΔpqsA sample was used to subtract out any background values, and pyocyanin levels were normalized by the ratio of OD600 between wildtype PA14 and the mutants to account for any slight differences in growth.
Maximum tolerated dose
MTD was determined by administration of compounds at increasing dosage until the maximum dose before adverse reactions were observed. Doses were increased in a stepwise manner from 1 mg kg−1 to 5, 10, 25 and 50 mg kg−1. Mice were observed for adverse effects including respiration, piloerection, startle response, skin colour, injection site reactions, hunched posture, ataxia, salivation, lacrimation, diarrhoea, convulsion and death. The maximum tolerated dose of fluorofolin was determined to be 25 mg kg−1 administered subcutaneously. MTD was evaluated by the UNTHSC.
In vivo PA14 infection
Female 5–6-week-old CD-1 mice were rendered neutropenic by intraperitoneal cyclophosphamide treatment (Cytoxan) before this study. On day 0, mice were infected intramuscularly with 5.33 log c.f.u. per thigh PA14. Mice were treated subcutaneously with fluorofolin at 1 and 12 h post infection. For co-treatment, mice were treated with SMX intraperitoneally at 1 and 12 h post infection. Mice were euthanized using CO2 at 24 h post infection, after which thighs were removed and placed into sterile PBS, homogenized and serially diluted onto brain heart infusion (BHI) and charcoal plates for c.f.u. counting. In vivo efficacy was evaluated by the UNTHSC.
Statistical information
For all assays showing error bars, we used the arithmetic mean and standard deviation across multiple biological replicates as our measures of centre and spread. The number of replicates for each experiment type and the type of statistical test used to determine significance are included in respective figure legends.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request. RNA sequencing data have been deposited at GEO (accession GSE249862). Metabolomics data have been deposited at https://massive.ucsd.edu/ProteoSAFe/QueryMSV?id=MSV000093598. Source data are provided with this paper.
References
O’Neill, J. Antimicrobial Resistance: Tackling a Crisis for the Health and Wealth of Nations AMR Review Paper (Wellcome Trust and the UK Government, 2014).
Murray, C. J. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629–655 (2022).
Lewis, K. The science of antibiotic discovery. Cell 181, 29–45 (2020).
Hancock, R. E. W. Resistance mechanisms in Pseudomonas aeruginosa and other nonfermentative gram-negative bacteria. Clin. Infect. Dis. 27, 93–99 (1998).
Bellido, F., Martin, N. L., Siehnel, R. J. & Hancock, R. E. W. Reevaluation, using intact cells, of the exclusion limit and role of porin OprF in Pseudomonas aeruginosa outer membrane permeability. J. Bacteriol. 174, 5196–5203 (1992).
Jeannot, K. et al. Resistance and virulence of Pseudomonas aeruginosa clinical strains overproducing the MexCD-OprJ efflux pump. Antimicrob. Agents Chemother. 52, 2455–2462 (2008).
Poole, K. et al. Overexpression of the mexC-mexD-oprJ efflux operon in nfxB-type multidrug-resistant strains of Pseudomonas aeruginosa. Mol. Microbiol. 21, 713–725 (1996).
Köhler, T., van Delden, C., Curty, L. K., Hamzehpour, M. M. & Pechere, J. C. Overexpression of the MexEF-OprN multidrug efflux system affects cell-to-cell signaling in Pseudomonas aeruginosa. J. Bacteriol. 183, 5213–5222 (2001).
Janice, J. et al. Carbapenem resistance determinants acquired through novel chromosomal integrations in extensively drug-resistant Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 65, e0028921 (2021).
CP, R. et al. Vancomycin-induced gut dysbiosis during Pseudomonas aeruginosa pulmonary infection in a mice model. J. Leukoc. Biol. 107, 95–104 (2020).
Dessein, R. et al. Antibiotic-related gut dysbiosis induces lung immunodepression and worsens lung infection in mice. Crit. Care 24, 611 (2020).
Pettigrew, M. M. et al. Gastrointestinal microbiota disruption and risk of colonization with carbapenem-resistant Pseudomonas aeruginosa in intensive care unit patients. Clin. Infect. Dis. 69, 604–613 (2019).
Reynolds, D. & Kollef, M. The epidemiology and pathogenesis and treatment of Pseudomonas aeruginosa infections: an update. Drugs 81, 2117–2131 (2021).
Melander, R. J., Zurawski, D. V. & Melander, C. Narrow-spectrum antibacterial agents. Medchemcomm 9, 12–21 (2018).
Weber, D. et al. Detrimental effect of broad-spectrum antibiotics on intestinal microbiome diversity in patients after allogeneic stem cell transplantation: lack of commensal sparing antibiotics. Clin. Infect. Dis. 68, 1303–1310 (2019).
DiGiandomenico, A. et al. A multifunctional bispecific antibody protects against Pseudomonas aeruginosa. Sci. Transl. Med. 6, 262ra155 (2014).
Ling, H., Saeidi, N., Rasouliha, B. H. & Chang, M. W. A predicted S-type pyocin shows a bactericidal activity against clinical Pseudomonas aeruginosa isolates through membrane damage. FEBS Lett. 584, 3354–3358 (2010).
Quigley, J. et al. Novel antimicrobials from uncultured bacteria acting against Mycobacterium tuberculosis. mBio https://doi.org/10.1128/mbio.01516-20 (2020).
Gavrish, E. et al. Lassomycin, a ribosomally synthesized cyclic peptide, kills Mycobacterium tuberculosis by targeting the ATP-dependent protease ClpC1P1P2. Chem. Biol. 21, 509–518 (2014).
Leimer, N. et al. A selective antibiotic for Lyme disease. Cell 184, 5405–5418.e16 (2021).
Carlson, C. A., Stewart, G. J. & Ingraham, J. L. Thymidine salvage in Pseudomonas stutzeri and Pseudomonas aeruginosa provided by heterologous expression of Escherichia coli thymidine kinase gene. J. Bacteriol. 163, 291–295 (1985).
Sandrini, M. P. B., Clausen, A. R., Munch-Petersen, B. & Piškur, J. Thymidine kinase diversity in bacteria. Nucleosides Nucleotides Nucleic Acids 25, 1153–1158 (2006).
Saito, H. & Tomioka, H. Thymidine kinase of bacteria: activity of the enzyme in actinomycetes and related organisms. J. Gen. Microbiol. 130, 1663–1670 (1984).
Hitchings, G. H. & Smith, S. L. Dihydrofolate reductases as targets for inhibitors. Adv. Enzym. Regul. 18, 349–371 (1980).
Huovinen, P., Sundstrom, L., Swedberg, G. & Skold, O. Trimethoprim and sulfonamide resistance. Antimicrob. Agents Chemother. 39, 279–289 (1995).
Martin, J. K. II et al. A dual-mechanism antibiotic kills gram-negative bacteria and avoids drug resistance. Cell 181, 1518–1532.e14 (2020).
Köhler, T. et al. Multidrug efflux in intrinsic resistance to trimethoprim and sulfamethoxazole in Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 40, 2288–2290 (1996).
Boucher, H. W. et al. Bad bugs, no drugs: no ESKAPE! An update from the Infectious Diseases Society of America. Clin. Infect. Dis. 48, 1–12 (2009).
Watson, I. et al. Comparative pharmacokinetics of co‐trifamole and co‐trimoxazole to ‘steady state’ in normal subjects. Br. J. Clin. Pharm. 14, 437–443 (1982).
Varadi, M. et al. AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. 50, D439–D444 (2022).
Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).
Manna, M. S. et al. A trimethoprim derivative impedes antibiotic resistance evolution. Nat. Commun. 12, 2949 (2021).
Eberhardt, J., Santos-Martins, D., Tillack, A. F. & Forli, S. AutoDock Vina 1.2.0: new docking methods, expanded force field, and Python bindings. J. Chem. Inf. Model. 61, 3891–3898 (2021).
Trott, O. & Olson, A. J. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J. Comput. Chem. 31, 455–461 (2009).
Silhavy, T. J., Ruiz, N. & Kahne, D. Advances in understanding bacterial outer-membrane biogenesis. Nat. Rev. Microbiol. 4, 57–66 (2006).
Puzari, M. & Chetia, P. RND efflux pump mediated antibiotic resistance in Gram-negative bacteria Escherichia coli and Pseudomonas aeruginosa: a major issue worldwide. World J. Microbiol. Biotechnol. 33, 24 (2017).
Wang, X. et al. Intrabacterial metabolism obscures the successful prediction of an InhA Inhibitor of Mycobacterium tuberculosis. ACS Infect. Dis. 5, 2148–2163 (2019).
Wang, X., Inoyama, D., Russo, R. & Connell, N. Antitubercular triazines: optimization and intrabacterial metabolism. Cell Chem. Biol. 27, 172–185.e11 (2020).
Minato, Y. et al. Mutual potentiation drives synergy between trimethoprim and sulfamethoxazole. Nat. Commun. 9, 1003 (2018).
Yasuoka, A. et al. Successful treatment of Pneumocystis carinii pneumonia in mice with benanomicin A (ME1451). Antimicrob. Agents Chemother. 39, 720–724 (1995).
Amyes, S. G. & Smith, J. T. Trimethoprim action and its analogy with thymine starvation. Antimicrob. Agents Chemother. 5, 169–178 (1974).
Uwate, M. et al. Two routes of MexS-MexT-mediated regulation of MexEF-OprN and MexAB-OprM efflux pump expression in Pseudomonas aeruginosa. Microbiol. Immunol. 57, 263–272 (2013).
Pesci, E. C. et al. Quinolone signaling in the cell-to-cell communication system of Pseudomonas aeruginosa. Proc. Natl Acad. Sci. USA 96, 11229–11234 (1999).
Alcalde-Rico, M., Olivares-Pacheco, J., Alvarez-Ortega, C., Cámara, M. & Martínez, J. L. Role of the multidrug resistance efflux pump MexCD-OprJ in the Pseudomonas aeruginosa quorum sensing response. Front. Microbiol. 9, 2752 (2018).
Tan, M., Rahme, L. G., Sternberg, J. A., Tompkins, R. G. & Ausubel, F. M. Pseudomonas aeruginosa killing of Caenorhabditis elegans used to identify P. aeruginosa virulence factors. Proc. Natl Acad. Sci. USA 96, 2408–2413 (1999).
Lutgring, J. et al. FDA-CDC Antimicrobial Resistance Isolate Bank: a publicly available resource to support research, development, and regulatory requirements. J. Clin. Microbiol. 56, e01415-17 (2018).
Scheffler, R. J., Bratton, B. P. & Gitai, Z. Pseudomonas aeruginosa clinical blood isolates display significant phenotypic variability. PLoS ONE 17, e0270576 (2022).
Sabour, S. et al. Detection and characterization of targeted carbapenem-resistant health care-associated threats: findings from the antibiotic resistance laboratory network, 2017 to 2019. Antimicrob. Agents Chemother. 65, e0110521 (2021).
Landman, D. et al. Evolution of antimicrobial resistance among Pseudomonas aeruginosa, Acinetobacter baumannii and Klebsiella pneumoniae in Brooklyn, NY. J. Antimicrob. Chemother. 60, 78–82 (2007).
Dethlefsen, L. & Relman, D. A. Incomplete recovery and individualized responses of the human distal gut microbiota to repeated antibiotic perturbation. Proc. Natl Acad. Sci. USA 108, 4554–4561 (2011).
Zheng, D., Liwinski, T. & Elinav, E. Interaction between microbiota and immunity in health and disease. Cell Res. 30, 492–506 (2020).
Martin, A. M., Sun, E. W., Rogers, G. B. & Keating, D. J. The influence of the gut microbiome on host metabolism through the regulation of gut hormone release. Front. Physiol. 10, 428 (2019).
Palleja, A. et al. Recovery of gut microbiota of healthy adults following antibiotic exposure. Nat. Microbiol. 3, 1255–1265 (2018).
Mendz, G. L., Jimenez, B. M., Hazell, S. L., Gero, A. M. & O’Sullivan, W. J. De novo synthesis of pyrimidine nucleotides by Helicobacter pylori. J. Appl. Bacteriol. 77, 1–8 (1994).
Huttenhower, C. et al. Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 (2012).
Widemann, B. C. et al. Carboxypeptidase-G2, thymidine, and leucovorin rescue in cancer patients with methotrexate-induced renal dysfunction. J. Clin. Oncol. 15, 2125–2134 (1997).
Linares, J. F. et al. Overexpression of the multidrug efflux pumps MexCD-OprJ and MexEF-OprN is associated with a reduction of type III secretion in Pseudomonas aeruginosa. J. Bacteriol. 187, 1384–1391 (2005).
Stickland, H. G., Davenport, P. W., Lilley, K. S., Griffin, J. L. & Welch, M. Mutation of nfxB causes global changes in the physiology and metabolism of Pseudomonas aeruginosa. J. Proteome Res. 9, 2957–2967 (2010).
Lamarche, M. G. & Déziel, E. MexEF-oprN efflux pump exports the Pseudomonas quinolone signal (PQS) precursor HHQ (4-hydroxy-2-heptylquinoline). PLoS ONE 6, e24310 (2011).
Lee, J. & Zhang, L. The hierarchy quorum sensing network in Pseudomonas aeruginosa. Protein Cell 6, 26–41 (2015).
Wolter, D. J., Hanson, N. D. & Lister, P. D. AmpC and OprD are not involved in the mechanism of imipenem hypersusceptibility among Pseudomonas aeruginosa isolates overexpressing the mexCD-oprJ efflux pump. Antimicrob. Agents Chemother. 49, 4763–4766 (2005).
Jalal, S., Ciofu, O., Høiby, N., Gotoh, N. & Wretlind, B. Molecular mechanisms of fluoroquinolone resistance in Pseudomonas aeruginosa isolates from cystic fibrosis patients. Antimicrob. Agents Chemother. 44, 710–712 (2000).
Imamovic, L. et al. Drug-driven phenotypic convergence supports rational treatment strategies of chronic infections. Cell 172, 121–134.e14 (2018).
Hernando-Amado, S., Laborda, P. & Martínez, J. L. Tackling antibiotic resistance by inducing transient and robust collateral sensitivity. Nat. Commun. 14, 1723 (2023).
Gutnick, D., Calvo, J. M., Klopotowski, T. & Ames, B. N. Compounds which serve as the sole source of carbon or nitrogen for Salmonella typhimurium LT-2. J. Bacteriol. 100, 215–219 (1969).
Novo, D., Perlmutter, N. G., Hunt, R. H. & Shapiro, H. M. Accurate flow cytometric membrane potential measurement in bacteria using diethyloxacarbocyanine and a ratiometric technique. Cytometry 35, 55–63 (1999).
Liberati, N. T. et al. An ordered, nonredundant library of Pseudomonas aeruginosa strain PA14 transposon insertion mutants. Proc. Natl Acad. Sci. USA 103, 2833–2838 (2006).
Wang, L. et al. Peak annotation and verification engine (PAVE) for untargeted LC-MS metabolomics. Anal. Chem. 91, 1838–1846 (2019).
Vrla, G. D. et al. Cytotoxic alkyl-quinolones mediate surface-induced virulence in Pseudomonas aeruginosa. PLoS Pathog. 16, e1008867 (2020).
DeLano, W. The PyMOL Molecular Graphics System. PyMOL v.2 https://pymol.org/dokuwiki/?id=media:new2 (2017).
Acknowledgements
Fluorofolin was supplied by Y. Huang and C. Jiang (Princeton-PKU Shenzhen). Flow cytometry was performed with the assistance of C. DeCoste (Princeton University Flow Cytometry Resource Facility (FCRF)). C. elegans were a generous gift from C. Murphy’s lab (Princeton University). S. epidermidis strain was obtained from L. Flowers and E. Grice (University of Pennsylvania). We appreciate the support and feedback from members of the Gitai and Shaevitz labs. Funding was provided in part by Rutgers/NJACTS Pilot Program (23307-E4289-10012776-FA781 to Z.G.) and for the FCRF by the National Cancer Institute (NCI-CCSG P30CA072720-5921) as well as the Princeton Intellectual Property Accelerator Program (to Z.G.). The opinions, findings, and conclusions or recommendations expressed in this material contents are solely the responsibility of the authors and do not necessarily represent the official views of the funding sources.
Author information
Authors and Affiliations
Contributions
Z.G., C.C., J.P.S. and H.K. conceptualized the project. Z.G., C.C., J.P.S. and J.S.F. developed the methodology. C.C. and J.P.S. performed validation. C.C. and J.P.S. conducted formal analysis. C.C., J.P.S., A.G., X.X. and S.G. conducted investigations. Z.G. and C.C. wrote the original draft. Z.G., C.C., J.P.S., H.K. and J.S.F. reviewed and edited the manuscript. C.C. and J.P.S. performed visualization. Z.G., H.K., J.D.R. and J.S.F. supervised the project. Z.G. and J.D.R. acquired funding.
Corresponding author
Ethics declarations
Competing interests
A patent application (PCT/US2023/076235 Princeton, NJ, 2023) for the use of Fluorofolin as an antibiotic is currently pending. Z.G. is a co-founder and has equity interest from Arrepath. The remaining authors declare no competing interests.
Peer review
Peer review information
Nature Microbiology thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Fluorofolin predicted binding to P. aeruginosa DHFR.
(a) Superimposition PA DHFR on 6XG5 to locate the binding site. PA DHFR in cyan, 6XG5 in yellow, NADPH in orange, and TMP in green (b) Molecular docking of fluorofolin with PA DHFR and the cofactor NADPH. The figure shows the lowest-scoring pose as predicted by AutoDock Vina. Fluorofolin, PA DHFR and NADPH are shown in pink, cyan and orange, respectively. (c) Molecular docking of TMP with PA DHFR and the cofactor NADPH. The figure shows the lowest-scoring pose as predicted by AutoDock Vina. TMP, PA DHFR and NADPH are shown in green, cyan and orange, respectively. (d) Polar interaction between fluorofolin with the neighboring residues LEU-23, ILE-8 and ASP-30. All figures are rendered using PyMOL70.
Extended Data Fig. 2 Fluorofolin does not cause membrane permeabilization or depolarization improving therapeutic index.
(a) Flow cytometry results of PA14 stained with the membrane permeability dye TO-PRO-3. Cells were incubated for 15 min with 5% DMSO (solvent control), 4 μg/mL polymixin B (2X MIC), 250 μg/mL TMP (2X MIC), or 6.25 μg/mL fluorofolin (2X MIC). The gates were determined for TO-PRO-3 staining using solvent only and polymixin B controls. (b) Flow cytometry of E. coli lptD4213 treated with 5% DMSO, 5 μM CCCP, or 2x MIC fluorofolin 0.04 μg/mL polymixin B, and 0.4 μg/mL TMP and stained with TO-PRO-3 and DiOC2(3). (c) Hemolysis of 6 ×106 sheep red blood cells after treatment with selected antibiotics for 1 hour. Percent hemolysis was measured using Abs405 compared to 100% lysis control by Triton X-100 (1% v/v). Mean ± SD of technical triplicates are shown. (d) IC50 of fluorofolin against in vitro mammalian cell lines relative to the IC50 of IRS-16. HLF: human lung fibroblast, HK-2: human kidney epithelial, PBMC: peripheral blood mononuclear cell, WI-38: Embryonic lung tissue.
Extended Data Fig. 3 TMI supplementation can also rescue other species from fluorofolin DHFR inhibition.
Growth of (a) S. epidermidis (b) E. cloacae (c) E. faecalis (d) K. Pneumoniae (e) S. aureus USA300 with or without TMI supplementation (0.3 mM thymine, methionine, and inosine) and treated with fluorofolin at 2X MIC or DMSO. (f) P. aeruginosa PA14 or E. coli lptd4213 treated with fluorofolin 50 μg/mL in the presence or absence of 0.3 mM thymidine. (g) E. coli lptd4213 treated with fluorofolin 50 μg/mL and SMX (78.1 μg/mL) in the presence or absence of 0.3 mM thymidine or 0.3 mM TMI supplementation, Curves represent average optical at 600 nm (OD600) of 2 biological replicates. Means are shown.
Supplementary information
Source data
Source Data Fig. 1
Statistical source data.
Source Data Fig. 2
Statistical source data.
Source Data Fig. 3
Statistical source data.
Source Data Fig. 4
Statistical source data.
Source Data Extended Data Fig. 2
Statistical source data.
Source Data Extended Data Fig. 3
Statistical source data.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Chain, C., Sheehan, J.P., Xu, X. et al. A folate inhibitor exploits metabolic differences in Pseudomonas aeruginosa for narrow-spectrum targeting. Nat Microbiol 9, 1207–1219 (2024). https://doi.org/10.1038/s41564-024-01665-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41564-024-01665-2