Antimicrobial Activity of Gallium Compounds on ESKAPE Pathogens

Introduction

ESKAPE species (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) are among the most common bacterial pathogens in nosocomial infections, causing extensive morbidity and mortality, especially in critically ill and immunocompromised patients (Rice, 2010). All these species are characterized by a high level of antibiotic resistance (Pendleton et al., 2013), which recently prompted the World Health Organization to list ESKAPE pathogens among the greatest threats to human health, and to boost research on new effective drugs for treatment of antibiotic-resistant infections (World Health Organization, 2017). Among Gram-negative ESKAPE species, K. pneumoniae, A. baumannii and P. aeruginosa have reached an alarmingly high level of resistance, causing infections which are no longer treatable with conventional antibiotic therapies (Deplano et al., 2005; Elemam et al., 2009; Nowak et al., 2017). Depriving bacteria of essential nutrients, such as iron, is a viable strategy for the development of new antibacterials. Iron is a key nutrient for nearly all forms of life, including bacteria, being a cofactor of many vital enzymes (e.g., those involved in cellular respiration, DNA synthesis, and defense against reactive oxygen species) (Andrews et al., 2003). During infection, bacteria are faced with iron scarcity in body fluids, and must gain access to iron bound to transferrins (e.g., transferrin and lactoferrin) and/or heme-containing proteins (e.g., hemoglobin and myoglobin) (Weinberg, 2009). To counteract iron-limitation, bacteria have developed high-affinity iron-uptake strategies, such as: (i) the production of low-molecular-weight compounds, called siderophores, which bind Fe(III) and actively transport the metal into the cell (Miethke and Marahiel, 2007); (ii) the ability to utilize heme iron, by producing hemophores and/or specific transport systems for heme and heme-binding proteins (Wandersman and Delepelaire, 2004); and (iii) the active transport of Fe(II) through the cytoplasmic membrane via the Feo system (Cartron et al., 2006). Given the essential role of iron in bacterial physiology and pathogenicity, iron uptake and metabolism have become attractive targets for the development of new antibacterials (Ballouche et al., 2009; Foley and Simeonov, 2012). In this regard, the ferric iron [Fe(III)] mimetic ion gallium [Ga(III)] has been shown to inhibit the growth of many bacterial and fungal species by interfering with iron-dependent metabolic pathways (Bastos et al., 2010; Minandri et al., 2014). Given the chemical similarity between Fe(III) and Ga(III), microorganisms cannot easily distinguish between these two ions, so that Ga(III) competes with Fe(III) for incorporation into essential proteins and enzymes. However, unlike Fe(III), Ga(III) cannot be reduced under physiological conditions, resulting in the inhibition of several iron-dependent redox pathways (Bernstein, 1998).

For more than three decades, Ga(III) compounds have been employed as diagnostic tools in medicine. Radioactive ⁶⁷Ga allows localization of malignant cells and inflammatory or infective foci (Edwards and Hayes, 1969). Citrated Ga(NO₃)₃ (GaN, brand name Ganite^®, Genta, NJ, USA) was approved by the US FDA for the treatment of cancer-associated hypercalcemia, though it is no longer available. Recently, there has been an expansion in the number of Ga(III) compounds showing therapeutic potential, sometimes categorized in first, second, and third generations, and ranging from simple salts such as GaCl₃ and GaN, through metal-organic complexes such as Ga(III)-maltolate (GaM) (Bernstein et al., 2000) and Ga(III)-protoporphyrin IX (GaPPIX) (Chitambar, 2017) (Figure 1). It is noted that GaN has very low oral bioavailability and must be parenterally administered, whereas GaM has high oral bioavailability and has been safely administered orally to people (Bernstein et al., 2000).

FIGURE 1

Figure 1. Chemical structures of the three Ga(III) compounds used in this study.

At present, neither standard protocols nor reference media for Ga(III)-susceptibility testing have been defined, though several lines of evidence indicate that iron irreversibly suppresses the antibacterial properties of Ga(III) (Kaneko et al., 2007; Antunes et al., 2012). Moreover, there are no comparative data on the activity of different Ga(III) compounds against ESKAPE species under standard test conditions, representing a major pitfall to the repurposing of Ga(III) as last-resort antibacterial agent.

In this study, the antibacterial activity of three compounds belonging to the first-, second-, and third-generation Ga(III) formulations, i.e., GaN, GaM, and GaPPIX, was tested on ESKAPE pathogens in culture media characterized by different iron content, namely Mueller-Hinton broth (MHB), iron-deprived MHB (DMHB) (Hackel et al., 2018) and RPMI-1640 tissue culture medium supplemented with 10% complement-free human serum (RPMI-HS), to better mimic the in vivo environment (Antunes et al., 2012; Thompson et al., 2012; Bonchi et al., 2015). ESKAPE bacteria resulted more susceptible to Ga(III) compounds in RPMI-HS than in MHB and DMHB. However, the presence of serum albumin in RPMI-HS and the type and number of bacterial heme-uptake systems strongly influenced GaPPIX susceptibility. Intriguingly, GaPPIX exerted a bactericidal activity on some strains, whereas GaN and GaM invariably exhibited bacteriostatic effects.

Materials and Methods

Bacterial Strains and Culture Conditions

Bacterial strains used in this work are listed in Table S1. Bacteria were routinely cultured for 18 h in Tryptic Soy Broth (TSB, Acumedia) with vigorous shaking. When required, tetracycline (Tc), gentamicin (Gm), and 5-bromo-4-chloro-3-indolyl-β-D-galactopyranoside (X-Gal, Sigma) were added to the media. For A. baumannii, 50 μg/ml Tc, and 100 μg/ml Gm were used. For Escherichia coli 10 μg/ml Gm and 40 μg/ml X-Gal were used. When vitamins (Vit) were required, 19 μg /ml of nicotinic acid (Sigma-Aldrich), and 2 μg /ml of pyridoxal hydrochloride (MERCK) were added to the media. Bovine hemin chloride (Sigma-Aldrich) was freshly prepared in 10 mM NaOH. Bovine serum albumin (BSA, Sigma-Aldrich) was freshly prepared and added to the media at the final concentration of 5 mg/ml.

Media and Ga(III) Compounds

Three media have been used in this study: (i) BBL Mueller Hinton II (Cation-Adjusted) Broth (MHB, Becton Dickinson) was prepared according to the manufacturer's instructions; (ii) DMHB was prepared following the approved CLSI protocol for antimicrobial susceptibility testing (Hackel et al., 2018). Briefly, MHB was treated for 16 h at 4°C with 100 g/l of the metal-chelating Chelex^® 100 resin (Bio-Rad) under moderate stirring, then filtered through Whatman no. 1 filter paper and pH adjusted to 7.3. After autoclaving, CaCl₂ and MgSO₄ were added to DMHB at the final concentrations of 22.5 and 11.25 μg/ml, respectively; and (iii) RPMI-1640 (Sigma-Aldrich) supplemented with 10% complement-free human serum (RPMI-HS). Human serum was collected from 140 healthy donors, pooled, filtered, and inactivated (30 min, 56°C), as previously described (Antunes et al., 2012). Bulk serum chemistry was: total serum proteins 80 mg/ml; total iron 0.70 μg/ml; ferritin 0.243 μg/ml; transferrin 2.63 mg/ml; total iron binding capacity 4.27 mg/ml (20% transferrin saturation).

Three Ga(III) compounds were used in this study: (i) GaN (Ga(NO₃)₃ × 6H₂O, Sigma-Aldrich; quality tested), freshly prepared as a 100 mM stock solution in water; (ii) GaM (NORAC Pharma, provided by Dr. Bernstein), freshly prepared as a 22 mM stock solution in water; and (iii) GaPPIX (Frontier Scientific), prepared as a 25 mM stock solution in dimethyl sulfoxide (DMSO), and stored at 4°C in the dark.

Iron Content Measurement, Siderophore Production, and β-Galactosidase (LacZ) Activity Assays

The iron concentration of MHB, DMHB, and RPMI-HS was measured by inductively coupled plasma optical emission spectrometry (ICP-OES) using an ICP-OES 710 Varian Spectrometer (Agilent Technologies). Briefly, the medium was mixed with 5% HNO₃, heated for 1 h at 90°C, and filtered through a Millipore membrane (pore size 0.45 μm) prior to ICP-OES analysis.

Siderophore production was determined by the chrome azurol S-Fe(III)-hexadecyltrimethylammonium bromide method (Schwyn and Neilands, 1987). Activity of the basA::lacZ reporter gene fusion carried by plasmid pMP220::PbasA (Antunes et al., 2012) was tested in the reference strain A. baumannii ATCC 17978, and β-galactosidase levels were expressed as Miller units (Miller, 1972).

Susceptibility Testing of Ga(III) Compounds

The inhibitory activity of Ga(III) compounds on ESKAPE pathogens was assessed by the microdilution method (Clinical Laboratory Standards Institute, 2015), with minor modifications. Bacteria were grown for 18 h in TSB, then washed in saline and diluted to obtain ca. 5 × 10⁵ CFU/ml in 200 μl of MHB, DMHB, or RPMI-HS, in the presence of increasing concentrations (0 to 128 μM) of each Ga(III) compound [GaN or GaM or GaPPIX], using 96-well microtiter plates. Plates were incubated for 24 h at 37°C with orbital shaking (110 rpm). The MIC of Ga(III) compounds was determined as the lowest concentration that completely inhibited bacterial growth as detected by the unaided eye (Clinical Laboratory Standards Institute, 2015). To test the effect of Fe(III) and hemin on GaPPIX antibacterial activity, freshly prepared FeCl₃ (Sigma-Aldrich) or bovine hemin chloride (Sigma-Aldrich) were added at the indicated final concentrations, into 200 μl of MHB inoculated with ca. 5 × 10⁵ CFU/ml, in the presence of GaPPIX supplied at the MIC. Microtiter plates were incubated for up to 24 h at 37°C and bacterial growth {optical density at 600 nm [OD₆₀₀]} was periodically measured using SPARK 10M TECAN reader.

The antibacterial activity of GaPPIX on A. baumannii strains was also assessed by disk diffusion assays. Briefly, 18 h cultures in TSB were washed and diluted in saline to OD₆₀₀ = 0.1, then seeded with a sterile swab on the surface of RPMI-HS supplemented with 15 g/l agar (Acumedia). Sterile 6-mm blank disks (ThermoFisher-Oxoid) soaked with 10 μl of a 15 mM solution of GaPPIX were deposited on the agar surface, and the growth inhibition halo was detected after 18 h incubation at 37°C.

Time-Kill Assays

Time-kill kinetic assays of Ga(III) compounds were performed on eleven ESKAPE pathogens according to a previously described procedure (Principe et al., 2009), with minor modifications. Briefly, tubes containing 1 ml of RPMI-HS supplemented with 28 μM of GaN, GaM or GaPPIX were inoculated with bacteria to a density ca. 5 × 10⁵ CFU/ml, and incubated at 37°C with gentle shaking (120 rpm). Aliquots were removed at time 0, 3, 6, and 24 h post-inoculation, and serially diluted in saline for determination of viable counts on Luria Bertani (LB) agar plates.

Identification and Cloning of the Heme-Utilization Gene Clusters in A. baumannii

Previously described oligonucleotides and PCR conditions were used to check the presence of genes belonging to the heme iron-uptake gene cluster 2 (hereafter termed hemT cluster), and the heme iron-uptake gene cluster 3 (Antunes et al., 2011), which includes the hemO gene, hence named hemO cluster (Ou et al., 2015).

The 9,833 bp DNA fragment encompassing eight genes of the hemO cluster of ACICU (from ACICU_00873 to ACICU_00880 locus) was obtained by PCR amplification using primers HemO_FW (5′-CATTTGGTTTCCGAGTCTCG-3′) and HemO_RV (5′-CCATGATGCGTACCATGCA-3′). The PCR product was purified by the PCR Clean-Up System (Promega) and blunt-end ligated to the SmaI site of pVRL1 (Lucidi et al., 2018), yielding plasmid pVRL1hemO. The pVRL1hemO plasmid was introduced in A. baumannii ATCC 17978 by electroporation according to published procedures (Yildirim et al., 2016). Transformants were selected on LB agar plates supplemented with 100 μg/ml Gm.

Results

DMHB and RPMI-HS Are Iron-Poor Media That Support the Growth of ESKAPE Species

For a comparative assessment of the antibacterial effect of the three Ga(III) compounds, a representative collection of ESKAPE species was used, including reference strains and multidrug-resistant (MDR) clinical isolates (Table S1). Since Ga(III) is an Fe(III)-mimetic acting as a metabolic competitor of Fe(III), its antibacterial activity depends on the iron concentration in the test medium, being enhanced by conditions of relative iron scarcity (Minandri et al., 2014). Therefore, both chemical analyses and functional assays were performed to probe iron content and availability in MHB, DMHB, and RPMI-HS media, prior to Ga(III)-susceptibility testing. ICP-OES measurements (Figure S1) showed that the iron concentrations in DMHB (0.43 μM) and RPMI-HS (1.95 μM) were lower than in MHB (3.38 μM). The relatively high iron concentration of RPMI-HS can be ascribed to partially (ca. 20%) iron-saturated transferrin in human serum, since only iron traces (0.11 μM) are present in serum-free RPMI-1640 (data not shown). To evaluate whether DMHB and RPMI-HS are perceived by bacteria as iron-poor media, both siderophore production and iron-repressible gene expression were investigated by using A. baumannii ATCC 17978 as a biosensor organism. Notably, high siderophore levels were produced in both DMHB and RPMI-HS, as opposed to MHB (Figure S1). Moreover, a transcriptional fusion between the promoter of the iron-repressible basA gene and the reporter lacZ gene (Antunes et al., 2012) was expressed by A. baumannii ATCC 17978 at higher levels in DMHB and RPMI-HS than in MHB (Figure S1). These data indicate that DMHB and RPMI-HS are low-iron media that induce an iron-starvation response during bacterial growth. ESKAPE pathogens share similar iron-mediated regulatory mechanisms of gene expression, all possessing the Ferric uptake regulator protein Fur, which drives the expression of iron-repressible genes, including those for siderophore-biosynthesis (i.e., basA). Therefore, it can be assumed that the basA::lacZ transcriptional fusion provides an indirect estimate of the intracellular iron levels of ESKAPE bacteria grown in different media (Ochsner and Vasil, 1996; Achenbach and Yang, 1997; Haley and Skaar, 2012; Mortensen and Skaar, 2013; Carpenter and Payne, 2014; Latorre et al., 2018). The ability of ESKAPE pathogens to grow in DMHB and RPMI-HS was then tested for the reference strains of each species (Figure S2). For all strains tested, evident growth reduction (12–60%) was observed in DMHB compared with MHB. Addition of 3 μM FeCl₃ to DMHB (i.e., restoring the iron concentration of MHB before Chelex^® 100 treatment) rescued the growth of all strains, except E. faecium ATCC 19434 and S. aureus ATCC 25923 (Figure S2A). For these two species, the residual growth reduction observed in iron-replete DMHB is likely due to the removal of other metabolically relevant metals, besides iron. Moreover, all but one strain grew in RPMI-HS, although at different rates (Figure S2B). The only exception was E. faecium ATCC 19434, whose growth was rescued by the addition of two vitamins, namely nicotinic acid and pyridoxal hydrochloride. These cofactors were added to RPMI-HS to allow Ga-susceptibility testing of E. faecium (Figure S2C). These preliminary experiments allowed us to establish iron-poor culture conditions in conventional media that support the growth of all ESKAPE strains tested, thus being suitable for comparative testing of the antibacterial activity of Ga(III) compounds.

Susceptibility of ESKAPE Pathogens to Ga(III) Compounds

The activity of the three Ga(III) compounds was tested on a total of 24 ESKAPE strains in three selected media (Table 1). Arbitrarily assuming the resistance breakpoint at MIC > 32 μM, which roughly corresponds to the peak serum concentration of Ga(III) achievable during human therapy (Bernstein, 1998; Collery et al., 2002), all strains were resistant to the three Ga(III) compounds tested in MHB and DMHB, except S. aureus and A. baumannii, which were susceptible to GaPPIX (MIC ≤ 32 μM). Notably, the MIC of GaPPIX for S. aureus was extremely low in both MHB and DMHB (0.06–0.12 μM). Moreover, no differences in MIC values for S. aureus and A. baumannii were observed between MHB and DMHB, in spite of their different iron content, and thus of the different iron starvation status of bacteria (Figure S1). This suggests a mechanism of action of GaPPIX that is not responsive to iron. In fact, addition to MHB of 100 μM FeCl₃, i.e., in excess over GaPPIX, did not abrogate the growth inhibitory effect of GaPPIX for all S. aureus and A. baumannii strains tested (Figure 2), while 100 μM FeCl₃ alone, used as control in MHB, did not influence bacterial growth (data not shown). Since GaPPIX is likely to exert its antibacterial effect by acting as a heme analog (Stojiljkovic et al., 1999; Hijazi et al., 2017), we wondered whether hemin might counteract bacterial GaPPIX susceptibility. To verify this hypothesis, several concentrations of hemin (from 5 to 400 μM) were added to MHB together with GaPPIX, provided at the MIC (Table 1). The addition of 5 μM hemin was sufficient to completely abrogate the activity of GaPPIX against all S. aureus strains, except S. aureus UD95, for which a higher hemin concentration (50 μM) was required (Figure 2A). Conversely, not even the highest hemin concentration tested (400 μM) was able to fully reverse the growth-inhibitory effect of GaPPIX in A. baumannii (Figure 2B). Of note, also FeCl₃ provided at 400 μM (i.e., equimolar with the highest hemin concentration tested) did not rescue the growth of all A. baumannii strains tested.

TABLE 1

Table 1. MIC (μM) of Ga(III) compounds for ESKAPE strains.

FIGURE 2

Figure 2. Effect of iron and hemin on the inhibitory activity of GaPPIX. Strains were grown in MHB supplemented or not with GaPPIX at the MIC. Hemin and FeCl₃ were supplied at different concentrations, either alone or in combination with GaPPIX, as indicated. (A) S. aureus ATCC 25923, ATCC 43300, Sau117, UD95, and (B) A. baumannii strains ATCC17978, AYE, ACICU and C13–373. OD₆₀₀ was monitored periodically for up to 24 h. Data are the mean ± standard deviation of triplicate experiments.

Surprisingly, a dramatic loss of GaPPIX activity was observed in RPMI-HS for S. aureus and A. baumannii (MICs ≥ 128 μM for 4/4 and 2/4 strains, respectively), as opposed to the activity of GaN and GaM which was enhanced for almost all species tested in RPMI-HS, compared with MHB or DMHB (Table 1). Non-fermenting Gram-negative species, P. aeruginosa and A. baumannii, showed low MIC values for both GaN and GaM (0.5 μM < MIC < 16 μM) with some intra-species variability. Intriguingly, the hypervirulent P. aeruginosa LesB58 (Liverpool strain) showed the lowest MIC values for all Ga(III) compounds, and was the only GaPPIX-sensitive P. aeruginosa strain (Table 1). Interestingly, half of K. pneumoniae strains and one isolate of E. cloacae were also susceptible to GaN and GaM in RPMI-HS (MIC ≤ 16 μM). Moreover, no GaPPIX MIC could be determined in RPMI-HS for all Enterobacteriaceae tested (MIC > 128 μM) (Table 1). Of note, Ga(III) susceptibility was not limited to antibiotic-sensitive ESKAPE strains, but also exerted on MDR clinical isolates (Table 1).

Bactericidal Activity of Ga(III) Compounds

A bactericidal activity has previously been reported for GaN and GaPPIX on P. aeruginosa and A. baumannii, respectively. However, previous killing assays were conducted in rich laboratory media, which do not mimic the condition encountered in vivo by infecting pathogens (Kaneko et al., 2007; Arivett et al., 2015). For this reason, we devised to assess the bactericidal activity of the three Ga(III) compounds in RPMI-HS, i.e., under conditions that trend to mimic biological fluids. Only susceptible strains showing MIC values < 32 μM (Table 1) were selected for bactericidal activity testing of GaN, GaM and GaPPIX, all provided at 28 μM, which corresponds to the peak serum concentration of Ga(III) achievable during human therapy (Bernstein, 1998; Collery et al., 2002). Interestingly, GaN and GaM showed only a bacteriostatic effect (Figure S3, Figure 3), whereas the response to GaPPIX varied among the susceptible strains (Figure 3). The presence of 28 μM GaPPIX caused 2–3 log reduction of viable cells (CFU counts) of A. baumannii ACICU, A. baumannii C13-373, and P. aeruginosa LesB58 after 6 h of incubation at 37°C (Figure 3), indicating a bactericidal effect of GaPPIX in RPMI-HS.

FIGURE 3

Figure 3. Bactericidal activity of Ga(III) compounds on susceptible strains. GaN, GaM, and GaPPIX time-kill kinetics were determined by plate counts after 0-, 3-, 6-, and 24-h incubation in RPMI-HS supplemented with 28 μM of each Ga(III) compound. (A) A. baumannii ACICU, (B) A. baumannii C13-373 and (C) P. aeruginosa LesB58. Panels show one representative experiment of three independent replicates yielding similar results.

Serum Albumin Counteracts the Activity of Gappix

In many bacterial pathogens, severe iron limitation induces the expression of heme-uptake systems, therefore increasing the susceptibility to GaPPIX (Stojiljkovic et al., 1999; Hijazi et al., 2017). Intriguingly, S. aureus was very sensitive to GaPPIX in both MHB and DMHB, while no MIC was determined for GaPPIX in RPMI-HS (Table 1), even though RPMI-HS is iron-poor and induces an iron-starvation response in bacteria (Figure S1). Likewise, A. baumannii ATCC 17978 and AYE were much more susceptible to GaPPIX in MHB and DMHB than in RPMI-HS (Table 1). However, while all S. aureus strains were resistant to GaPPIX in RPMI-HS (MIC > 128 μM, Table 1), they became extremely sensitive to GaPPIX in RPMI-1640 without HS (MIC ≤ 0.25 μM, Table 2). Likewise, A. baumannii ATCC 17978 and AYE became sensitive to GaPPIX in RPMI-1640 without HS (MIC = 8 μM, Table 2), although showing high GaPPIX MIC in RPMI-HS (128 μM, Table 1). These results argue for the presence of HS compound(s) capable of counteracting the antibacterial activity of GaPPIX. Since human serum albumin (HSA), the most abundant plasma protein, binds a variety of ligands including heme (Adams and Berman, 1980), we hypothesized that HSA could bind GaPPIX, due to its chemical similarity with heme, thus impairing its translocation across the cell membrane via heme-uptake systems. To test this hypothesis, the susceptibility of S. aureus and A. baumannii to GaPPIX was determined in MHB and RPMI-1640 supplemented or not with BSA, a protein sharing 76% sequence identity and the same heme-binding properties as HSA (Goncharova et al., 2013). The amount of added BSA was 5 mg/ml, equaling the final concentration of HSA in RPMI-HS. Consistent with our hypothesis, addition of 5 mg/ml BSA to RPMI-1640 dramatically increased (67 to 533 fold) the MICs of GaPPIX on both S. aureus and A. baumannii (Table 2). A similar effect was also observed upon addition of BSA to MHB (Table 2). Taken together, these results suggest that the poor susceptibility to GaPPIX observed for S. aureus and A. baumannii in RPMI-HS is due to the presence of HSA which binds GaPPIX and neutralizes its inhibitory effect.

TABLE 2

Table 2. Effect of BSA on the MIC (μM) of GaPPIX for S. aureus and A. baumannii.

Multiple Heme-Uptake Systems Influence A. baumannii Susceptibility to GaPPIX

The wide range of GaPPIX susceptibility observed among A. baumannii isolates led us to hypothesize that the presence of different GaPPIX-uptake capabilities could be the source of this variability. GaPPIX is known to exploit heme-uptake routes to enter bacterial cells (Stojiljkovic et al., 1999; Hijazi et al., 2017), and all A. baumannii strains sequenced so far, including ATCC 17978, AYE and ACICU, possess the hemT heme-uptake cluster (homolog of the iron-uptake gene cluster 2 in Antunes et al., 2011). Interestingly, A. baumannii ACICU possesses an additional heme-uptake cluster, named hemO (iron-uptake gene cluster 3 in Antunes et al., 2011) (Figure 4A). Since A. baumannii ACICU showed an extremely low GaPPIX MIC (1 μM), we hypothesized that the presence of hemO could be responsible for the increased GaPPIX susceptibility, likely providing a more efficient GaPPIX uptake route. Indeed, PCR analysis revealed the presence of both hemO and hemT clusters in A. baumannii C13-373 (data not shown), another strain showing very low GaPPIX MIC (0.25 μM), similar to A. baumannii ACICU (Figure 4B). To shed more light on the relationship between heme uptake and the antibacterial activity of GaPPIX in A. baumannii, the whole hemO cluster of strain ACICU (9,833 bp), was cloned and expressed in trans in A. baumannii ATCC 17978. GaPPIX susceptibility of A. baumannii ATCC 17978 expressing the whole hemO cluster from plasmid pVRL1hemO or harboring the empty vector (pVRL1) was then assessed in both solid and liquid RPMI-HS (Figure 4B). In RPMI-HS agar plates, a much larger growth inhibition halo was observed around the GaPPIX-soaked disk for A. baumannii ATCC 17978 (pVRL1hemO), compared with A. baumannii ATCC 17978 (pVRL1), indicating that expression of the hemO cluster from a multicopy plasmid in trans greatly increases A. baumannii ATCC 17978 susceptibility to GaPPIX (Figure 4B). As expected, the presence of the empty vector pVRL1 did not affect the susceptibility of A. baumannii ATCC 17978 to GaPPIX (Figure 4B). In line with the results of the disk diffusion assay, MIC data confirmed that A. baumannii ATCC 17978 (pVRL1hemO) is more susceptible to GaPPIX than A. baumannii ATCC 17978 (pVRL1), the former showing a MIC of 0.25 μM in RPMI-HS (Figure 4B). Altogether, these data indicate that the susceptibility of A. baumannii to GaPPIX is increased by the presence of the hemO gene cluster.

FIGURE 4

Figure 4. Influence of heme-uptake systems on A. baumannii susceptibility to GaPPIX. (A) Schematic representation of the two gene clusters for heme uptake, hemT and hemO, of A. baumannii ACICU. Coding sequences are shown as arrows (not to scale) oriented according to the predicted direction of transcription. (B) Top; presence (+) or absence (-) of heme clusters in different A. baumannii strains (++, overexpression from the multicopy plasmid pVRL1hemO). Middle; GaPPIX disk diffusion assay in RPMI-HS agar plates inoculated with different A. baumannii strains. Bottom; MICs of GaPPIX for different A. baumannii strains in RPMI-HS.

Discussion

Antimicrobial resistance has become one of the most challenging problems of the healthcare system. The spread of antimicrobial-resistant pathogens has dramatic repercussions on mortality and morbidity rates, hence on global medical costs (Friedman et al., 2016). ESKAPE pathogens rank among the most prevalent causative agents of healthcare-associated infections, and pose a serious therapeutic challenge due to their resistance to available antibiotics (Boucher et al., 2009). However, while new antibiotics are urgently needed, the pipeline of antibiotic discovery is almost dry (Luepke and Mohr, 2017). Iron uptake and metabolism are regarded as druggable targets for new antibacterial strategies (Ballouche et al., 2009; Foley and Simeonov, 2012). In this context, the iron mimetic metal Ga(III) has been shown to inhibit bacterial growth, by interfering with iron-dependent metabolic pathways (Minandri et al., 2014).

In this work, we report the first comparative evaluation of the antibacterial properties of three Ga(III) compounds on ESKAPE species in conventional susceptibility testing media characterized by different iron concentrations and nutrient compositions.

Our data demonstrate that the bacterial susceptibility to Ga(III) compounds varies among species and among strains within the same species, and is influenced by the iron concentration and nutrient composition of the medium. Ga(III)-susceptibility tests conducted in MHB and DMHB showed elevated MIC values (> 32 μM) for all species, except S. aureus and A. baumannii, which were sensitive to GaPPIX only. Conversely, Ga(III) testing in RPMI-HS gave a better response, with an overall higher susceptibility to GaN and GaM for K. pneumoniae, A. baumannii, P. aeruginosa, and E. cloacae (MIC ≤ 16 μM for 50 to 100% of strains tested). Among the ESKAPE bacteria tested, aerophilic species, which preferentially adopt a respiratory metabolism, namely A. baumannii and P. aeruginosa, were in general more susceptible to Ga(III) in RPMI-HS than fermenting species, such as Enterobacteriaceae, S. aureus and enterococci. This is probably due to Ga(III)-dependent impairment of iron-demanding processes, such as respiration and response to oxidative stress (Stojiljkovic et al., 1999; Hijazi et al., 2017). Moreover, GaN and GaM showed a similar spectrum of activity, although GaM was more potent than GaN in 9 out of 13 isolates for which a MIC could be determined. Previous experiments in a mouse burn wound model infection are in line with this observation, given that much lower GaM concentrations were needed to prevent P. aeruginosa and A. baumannii proliferation, compared with GaN (DeLeon et al., 2009). The solubility of GaM in both water and lipids, allowing for the penetration of cell walls and membranes, as opposed to the lack of lipophylicity of GaN, probably accounts for much of the difference in biologic effects between the two compounds (Bernstein et al., 2000; DeLeon et al., 2009). Although the presence of non-selective entrance routes for Ga(III) cannot be excluded, Ga(III) mainly exploits iron-uptake systems to enter bacterial cells (Minandri et al., 2014). Therefore, the variable susceptibility to GaN and GaM observed for K. pneumoniae and E. cloacae in RPMI-HS could be explained by the variable number and type of iron-acquisition systems in these two species (Podschun et al., 1992; Koczura and Kaznowski, 2003) and perhaps their varying growth rates. This holds true also in P. aeruginosa, where siderophores, either pyoverdine (PVD) or pyochelin (PCH), have opposite effects on Ga(III) activity; while PCH shuttles Ga(III) into P. aeruginosa cells, PVD sequesters it away in the periplasmic space, therefore protecting bacterial cells from Ga(III)-mediated toxicity (Kaneko et al., 2007; Frangipani et al., 2014).

GaPPIX deserves a special comment. As documented for various bacterial species, GaPPIX exerts its activity when transported into the cell, implying that the presence and/or expression level of heme-uptake genes have a major impact on GaPPIX activity (Stojiljkovic et al., 1999; Hijazi et al., 2017). The A. baumannii hemO gene cluster encodes a very efficient heme-utilization system, responsible for an increased translocation of GaPPIX in the cell (de Léséleuc et al., 2014). Results presented here suggest a major role for the hemO system also in GaPPIX susceptibility, given that only strains possessing both hemT and hemO gene clusters were severely inhibited by GaPPIX in RPMI-HS (MIC 0.25–1.0 μM), whereas those possessing only the hemT cluster were not (MIC > 128 μM) (Tables 1, 2). Notably, this phenomenon was only observed in RPMI-HS, where GaPPIX is bound by HSA, but not in MHB or DMHB where no albumin is present. This suggests that gene products of the A. baumannii hemO cluster efficiently withdraw HSA-bound GaPPIX and deliver it to its intracellular targets. On the other hand, the HemT and Isd heme-uptake systems, which are present in A. baumannii and S. aureus, respectively (Ascenzi et al., 2015), appear by themselves unable to confer GaPPIX susceptibility in RPMI-HS (but not in MHB and DMHB), probably because these two systems cannot efficiently extract HSA-bound GaPPIX for transport into the cell. These observations are in line with a previous report showing that the addition of 10% HS to MHB caused a 3-fold increase of the GaPPIX MIC for A. baumannii (Arivett et al., 2015). Intriguingly, the activity of GaPPIX against S. aureus and A. baumannii was independent of the iron content of the medium, given that: (i) it was similar in MHB and DMHB media, irrespective of their different iron content, and, (ii) amendment of MHB with an exceedingly high FeCl₃ concentration did not neutralize the antibacterial activity of GaPPIX (Figure 2), in agreement with previous reports (Stojiljkovic et al., 1999; Arivett et al., 2015). Interestingly, the addition of hemin partially reversed the antibacterial activity of GaPPIX in MHB, albeit in one S. aureus and in all A. baumannii strains tested not even a molar excess of hemin completely abrogated the effect of GaPPIX (Figure 2). This means that incorporation of GaPPIX in vital bacterial enzymes is only in part reversed by competition with hemin. This observation could have significant clinical implications, since the release of heme and/or iron from red blood cells and iron-binding proteins during inflammatory processes is unlikely to undermine the antibacterial activity of GaPPIX in vivo. These observations, together with the previously reported low toxicity of GaPPIX (Stojiljkovic et al., 1999; Arivett et al., 2015; Chang et al., 2016), support the potential use of GaPPIX as a therapeutic option to treat some bacterial infections. It should be noted that, different from GaN and GaM which exploit multiple routes to enter bacteria (Minandri et al., 2014), making the selection of Ga(III)-resistant cells less likely to occur compared with conventional antibiotic treatments (Ross-Gillespie et al., 2014), GaPPIX enters the cell through specialized heme-uptake systems (Stojiljkovic et al., 1999; Hijazi et al., 2017). While this could imply more frequent emergence of GaPPIX-resistant cells through loss of heme (hence GaPPIX) uptake capabilities, the preferential use of heme as iron source by bacterial pathogens in vivo argues against a dispensable role of these systems during infection.

In conclusion, we have determined suitable test conditions to assess the antibacterial activity of Ga(III) compounds in vitro. The presence of human serum (HS) in RPMI-HS reduces iron availability thanks to the presence of transferrin, thereby providing a more realistic milieu for testing the antibacterial activity of iron-mimetic compounds. Moreover, in RPMI-HS the presence of serum albumin, which interferes with GaPPIX but not of GaN or GaM, indicates that, among the three Ga(III)-compounds tested, the FDA-approved GaN and the orally active GaM were the most effective under conditions that mimic the in vivo environment, i.e., in RPMI-HS. With respect to the clinical repositioning of Ga(III) as an antibacterial agent, one should consider that the recommended dosing regimen of citrated GaN for the treatment of cancer patients (200 to 300 mg/m² body surface area, i.v. administration) ensures a peak serum concentration of Ga(III) of ca. 28 μM (Bernstein, 1998; Collery et al., 2002). Notably, we found that in RPMI-HS much lower GaN concentrations are needed to inhibit the growth of A. baumannii, P. aeruginosa and some Enterobacteriaceae. Ongoing clinical trials on patients with cystic fibrosis (IGNITE study, ClinicalTrials.gov Identifier: NCT02354859) will provide important insights into P. aeruginosa inhibition during i.v. GaN treatment of chronic lung infection, hence on the actual potential of Ga(III) as an antibacterial agent. It is also noted that topical or other localized means of administration can readily provide millimolar levels of Ga(III) to sites of infection, including burn-associated infections (DeLeon et al., 2009). In fact, the topic use of Ga(III)-citrate has been shown to improve healing, reduce inflammation and favor reepithelization in a murine wound model of K. pneumoniae infection (Thompson et al., 2015).

Interestingly, we found that pre-existing resistance to multiple antibiotics in MDR strains did not compromise Ga(III) susceptibility, likely as a consequence of Ga(III) molecular targets (iron-binding proteins) being different from those of common antibiotics, toward which resistance has been selected. In conclusion, Ga(III) could represent a drug of last resort to combat infections sustained by otherwise untreatable pan-resistant bacteria.

Author Contributions

DV and PV conceived and designed the experiments. SH and MP performed the experiments. SH, DV, EF, and PV analyzed the data. SH wrote the draft manuscript. SH, DV, MP, EF, LB, and PV revised the manuscript.

Funding

This work was supported by grants from the Italian Cystic Fibrosis Research Foundation (grants FFC#21/2015 and FFC#18/2017).

Conflict of Interest Statement

LB holds several patents for possible applications of GaM in human and veterinary medicine and is affiliated with a company (Gallixa LLC) that would like to obtain regulatory approval for topical gallium maltolate as a therapeutic agent. LB did not participate in data collection for this study.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We wish to thank Prof. Gian Maria Rossolini (Department of Experimental Medicine and Clinic, University of Florence, Italy) for providing Enterobacter strains, and Dr. Annalisa Pantosti (Department of Infectious, Parasitic and Immuno-mediated Diseases, Istituto Superiore di Sanità, Rome, Italy) for providing S. aureus and K. pneumoniae strains. We are also grateful to Dr. Federica Runci and the personnel of Policlinico Umberto I, Sapienza University of Rome, for collecting blood samples from healthy donors. The Grant of Excellence Departments, MIUR-Italy (ARTICOLO 1, COMMI 314–337 LEGGE 232/2016) is gratefully acknowledged.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2018.00316/full#supplementary-material

References

Achenbach, L. A., and Yang, W. (1997). The fur gene from Klebsiella pneumoniae: characterization, genomic organization and phylogenetic analysis. Gene 185, 201–207. doi: 10.1016/S0378-1119(96)00642-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Adams, P. A., and Berman, M. C. (1980). Kinetics and mechanism of the interaction between human serum albumin and monomeric haemin. Biochem. J. 191, 95–102. doi: 10.1042/bj1910095

PubMed Abstract | CrossRef Full Text | Google Scholar

Andrews, S. C., Robinson, A. K., and Rodríguez-Quiñones, F. (2003). Bacterial iron homeostasis. FEMS Microbiol. Rev. 27, 215–237. doi: 10.1016/S0168-6445(03)00055-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Antunes, L. C., Imperi, F., Minandri, F., and Visca, P. (2012). In vitro and in vivo antimicrobial activities of gallium nitrate against multidrug-resistant Acinetobacter baumannii. Antimicrob. Agents Chemother. 56, 5961–5970. doi: 10.1128/AAC.01519-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Antunes, L. C., Imperi, F., Towner, K. J., and Visca, P. (2011). Genome-assisted identification of putative iron-utilization genes in Acinetobacter baumannii and their distribution among a genotypically diverse collection of clinical isolates. Res. Microbiol. 162, 279–284. doi: 10.1016/j.resmic.2010.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Arivett, B. A., Fiester, S. E., Ohneck, E. J., Penwell, W. F., Kaufman, C. M., Relich, R. F., et al. (2015). Antimicrobial activity of gallium protoporphyrin IX against Acinetobacter baumannii strains displaying different antibiotic resistance phenotypes. Antimicrob. Agents Chemother. 59, 7657–7665. doi: 10.1128/AAC.01472-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Ascenzi, P., di Masi, A., Leboffe, L., Frangipani, E., Nardini, M., Verde, C., et al. (2015). Structural biology of bacterial haemophores. Adv. Microb. Physiol. 67, 127–176. doi: 10.1016/bs.ampbs.2015.09.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Ballouche, M., Cornelis, P., and Baysse, C. (2009). Iron metabolism: a promising target for antibacterial strategies. Recent Pat. Anti Infect. Drug Discov. 4, 190–205. doi: 10.2174/157489109789318514

PubMed Abstract | CrossRef Full Text | Google Scholar

Bastos, T. de O., Soares, B. M., Cisalpino, P. S., Mendes, I. C., dos Santos, R. G., and Beraldo, H. (2010). Coordination to gallium(III) strongly enhances the potency of 2-pyridineformamide thiosemicarbazones against Cryptococcus opportunistic fungi. Microbiol. Res. 165, 573–577. doi: 10.1016/j.micres.2009.10.005

CrossRef Full Text | Google Scholar

Bernstein, L. R. (1998). Mechanisms of therapeutic activity for gallium. Pharmacol. Rev. 50, 665–682.

PubMed Abstract | Google Scholar

Bernstein, L. R., Tanner, T., Godfrey, C., and Noll, B. (2000). Chemistry and pharmacokinetics of gallium maltolate, a compound with high oral gallium bioavailability. Met. Based Drugs 7, 33–47. doi: 10.1155/MBD.2000.33

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonchi, C., Frangipani, E., Imperi, F., and Visca, P. (2015). Pyoverdine and proteases affect the response of Pseudomonas aeruginosa to gallium in human serum. Antimicrob. Agents Chemother. 59, 5641–5646. doi: 10.1128/AAC.01097-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Boucher, H. W., Talbot, G. H., Bradley, J. S., Edwards, J. E., Gilbert, D., Rice, L. B., et al. (2009). Bad bugs, no drugs: no ESKAPE! An update from the infectious diseases society of America. Clin. Infect. Dis. 48, 1–12. doi: 10.1086/595011

PubMed Abstract | CrossRef Full Text | Google Scholar

Carpenter, C., and Payne, S. M. (2014). Regulation of iron transport systems in Enterobacteriaceae in response to oxygen and iron availability. J. Inorg. Biochem. 133, 110–117. doi: 10.1016/j.jinorgbio.2014.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Cartron, M. L., Maddocks, S., Gillingham, P., Craven, C. J., and Andrews, S. C. (2006). Feo-transport of ferrous iron into bacteria. Biometals 19, 143–157. doi: 10.1007/s10534-006-0003-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, D., Garcia, R. A., Akers, K. S., Mende, K., Murray, C. K., Wenke, J. C., et al. (2016). Activity of gallium meso- and protoporphyrin IX against biofilms of multidrug-resistant Acinetobacter baumannii isolates. Pharmaceuticals 9:E16. doi: 10.3390/ph9010016

PubMed Abstract | CrossRef Full Text | Google Scholar

Chitambar, C. R. (2017). The therapeutic potential of iron-targeting gallium compounds in human disease: from basic research to clinical application. Pharmacol. Res. 115, 56–64. doi: 10.1016/j.phrs.2016.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Clinical and Laboratory Standards Institute (2015). Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically. 10th edn. Wayne, PA: CLSI (Approved standard M07–A10).

Collery, P., Keppler, B., Madoulet, C., and Desoize, B. (2002). Gallium in cancer treatment. Crit. Rev. Oncol. Hematol. 42, 283–296. doi: 10.1016/S1040-8428(01)00225-6

PubMed Abstract | CrossRef Full Text | Google Scholar

de Léséleuc, L., Harris, G., KuoLee, R., Xu, H. H., and Chen, W. (2014). Serum resistance, gallium nitrate tolerance and extrapulmonary dissemination are linked to heme consumption in a bacteremic strain of Acinetobacter baumannii. Int. J. Med. Microbiol. 304, 360–369. doi: 10.1016/j.ijmm.2013.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

DeLeon, K., Balldin, F., Watters, C., Hamood, A., Griswold, J., Sreedharan, S., et al. (2009). Gallium maltolate treatment eradicates Pseudomonas aeruginosa infection in thermally injured mice. Antimicrob. Agents Chemother. 53, 1331–1337. doi: 10.1128/AAC.01330-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Deplano, A., Denis, O., Poirel, L., Hocquet, D., Nonhoff, C., Byl, B., et al. (2005). Molecular characterization of an epidemic clone of panantibiotic-resistant Pseudomonas aeruginosa. J. Clin. Microbiol. 43, 1198–1204. doi: 10.1128/JCM.43.3.1198-1204.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Edwards, C. L., and Hayes, R. L. (1969). Tumor scanning with ⁶⁷Ga citrate. J. Nucl. Med. 10, 103–105.

PubMed Abstract | Google Scholar

Elemam, A., Rahimian, J., and Mandell, W. (2009). Infection with panresistant Klebsiella pneumoniae: a report of 2 cases and a brief review of the literature. Clin. Infect. Dis. 49, 271–274. doi: 10.1086/600042

PubMed Abstract | CrossRef Full Text | Google Scholar

Foley, T. L., and Simeonov, A. (2012). Targeting iron assimilation to develop new antibacterials. Expert. Opin. Drug Discovery 7, 831–847. doi: 10.1517/17460441.2012.708335

PubMed Abstract | CrossRef Full Text | Google Scholar

Frangipani, E., Bonchi, C., Minandri, F., Imperi, F., and Visca, P. (2014). Pyochelin potentiates the inhibitory activity of gallium on Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 58, 5572–5575. doi: 10.1128/AAC.03154-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Friedman, N. D., Temkin, E., and Carmeli, Y. (2016). The negative impact of antibiotic resistance. Clin. Microbiol. Infect. 22, 416–422. doi: 10.1016/j.cmi.2015.12.002

CrossRef Full Text | Google Scholar

Goncharova, I., Orlov, S., and Urbanová, M. (2013). The location of the high- and low-affinity bilirubin-binding sites on serum albumin: ligand-competition analysis investigated by circular dichroism. Biophys. Chem. 180–181, 55–65. doi: 10.1016/j.bpc.2013.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Hackel, M. A., Tsuji, M., Yamano, Y., Echols, R., Karlowsky, J. A., and Sahm, D. F. (2018). In vitro activity of the siderophore cephalosporin, cefiderocol, against carbapenem-non-susceptible and multidrug-resistant isolates of gram-negative Bacilli collected worldwide in 2014 to 2016. Antimicrob. Agents Chemother. 62:e01968–17. doi: 10.1128/AAC.01968-17

CrossRef Full Text | Google Scholar

Haley, K. P., and Skaar, E. P. (2012). A battle for iron: host sequestration and Staphylococcus aureus acquisition. Microbes Infect. 14, 217–227. doi: 10.1016/j.micinf.2011.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Hijazi, S., Visca, P., and Frangipani, E. (2017). Gallium-protoporphyrin IX inhibits Pseudomonas aeruginosa growth by targeting cytochromes. Front. Cell. Infect. Microbiol. 7:12. doi: 10.3389/fcimb.2017.00012

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaneko, Y., Thoendel, M., Olakanmi, O., Britigan, B. E., and Singh, P. K. (2007). The transition metal gallium disrupts P. aeruginosa iron metabolism and has antimicrobial and antibiofilm activity. J. Clin. Invest. 117, 877–888. doi: 10.1172/JCI30783

CrossRef Full Text | Google Scholar

Koczura, R., and Kaznowski, A. (2003). Occurrence of the Yersinia high-pathogenicity island and iron uptake systems in clinical isolates of Klebsiella pneumoniae. Microb. Pathog. 35, 197–202. doi: 10.1016/S0882-4010(03)00125-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Latorre, M., Quenti, D., Travisany, D., Singh, K. V., Murray, B. E., Maass, A., et al. (2018). The role of Fur in the transcriptional and iron homeostatic response of Enterococcus faecalis. Front. Microbiol. 9:1580. doi: 10.3389/fmicb.2018.01580

PubMed Abstract | CrossRef Full Text | Google Scholar

Lucidi, M., Runci, F., Rampioni, G., Frangipani, E., Leoni, L., and Visca, P. (2018). New shuttle vector for gene cloning and expression in multi-drug resistance Acinetobacter species. Antimicrob. Agents Chemother. 62:e02480–17. doi: 10.1128/AAC.02480-17

CrossRef Full Text | Google Scholar

Luepke, K. H., and Mohr, J. F. (2017). The antibiotic pipeline: reviving research and development and speeding drugs to market. Expert Rev. Anti Infect. Ther. 15, 425–433. doi: 10.1080/14787210.2017.1308251

PubMed Abstract | CrossRef Full Text | Google Scholar

Miethke, M., and Marahiel, M. A. (2007). Siderophore-based iron acquisition and pathogen control. Microbiol. Mol. Biol. Rev. 71, 413–451. doi: 10.1128/MMBR.00012-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, J. H. (1972). Experiments in Molecular Genetics. New York, NY: Cold Spring Harbor Laboratory.

Minandri, F., Bonchi, C., Frangipani, E., Imperi, F., and Visca, P. (2014). Promises and failures of gallium as an antibacterial agent. Future Microbiol. 9, 379–397. doi: 10.2217/fmb.14.3

PubMed Abstract | CrossRef Full Text | Google Scholar

Mortensen, B. L., and Skaar, E. P. (2013). The contribution of nutrient metal acquisition and metabolism to Acinetobacter baumannii survival within the host. Front. Cell. Infect. Microbiol. 3:95. doi: 10.3389/fcimb.2013.00095

PubMed Abstract | CrossRef Full Text | Google Scholar

Nowak, J., Zander, E., Stefanik, D., Higgins, P. G., Roca, I., Vila, J., et al. (2017). High incidence of pandrug-resistant Acinetobacter baumannii isolates collected from patients with ventilator-associated pneumonia in Greece, Italy and Spain as part of the MagicBullet clinical trial. J. Antimicrob. Chemother. 72, 3277–3282. doi: 10.1093/jac/dkx322

PubMed Abstract | CrossRef Full Text | Google Scholar

Ochsner, U. A., and Vasil, M. L. (1996). Gene repression by the ferric uptake regulator in Pseudomonas aeruginosa: cycle selection of iron-regulated genes. Proc. Natl. Acad. Sci. U.S.A. 93, 4409–4414. doi: 10.1073/pnas.93.9.4409

PubMed Abstract | CrossRef Full Text | Google Scholar

Ou, H. Y., Kuang, S. N., He, X., Molgora, B. M., Ewing, P. J., Deng, Z., et al. (2015). Complete genome sequence of hypervirulent and outbreak-associated Acinetobacter baumannii strain LAC-4: epidemiology, resistance genetic determinants and potential virulence factors. Sci. Rep. 5:8643. doi: 10.1038/srep08643

PubMed Abstract | CrossRef Full Text | Google Scholar

Pendleton, J. N., Gorman, S. P., and Gilmore, B. F. (2013). Clinical relevance of the ESKAPE pathogens. Expert Rev. Anti Infect. Ther. 3, 297–308. doi: 10.1586/eri.13.12

CrossRef Full Text | Google Scholar

Podschun, R., Fischer, A., and Ullmann, U. (1992). Siderophore production of Klebsiella species isolated from different sources. Zentralbl. Bakteriol. 276, 481–486. doi: 10.1016/S0934-8840(11)80673-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Principe, L., D'Arezzo, S., Capone, A., Petrosillo, N., and Visca, P. (2009). In vitro activity of tigecycline in combination with various antimicrobials against multidrug resistant Acinetobacter baumannii. Ann. Clin. Microbiol. Antimicrob. 8:18. doi: 10.1186/1476-0711-8-18

PubMed Abstract | CrossRef Full Text | Google Scholar

Rice, L. B. (2010). Progress and challenges in implementing the research on ESKAPE pathogens. Infect. Control Hosp. Epidemiol. 1, S7–S10. doi: 10.1086/655995

CrossRef Full Text | Google Scholar

Ross-Gillespie, A., Weigert, M., Brown, S. P., and Kümmerli, R. (2014). Gallium-mediate siderophore quenching as an evolutionarily robust antibacterial treatment. Evol. Med. Public Health 2014, 18–29. doi: 10.1093/emph/eou003

CrossRef Full Text | Google Scholar

Schwyn, B., and Neilands, J. B. (1987). Universal chemical assay for the detection and determination of siderophores. Anal. Biochem. 160, 47–56. doi: 10.1016/0003-2697(87)90612-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Stojiljkovic, I., Kumar, V., and Srinivasan, N. (1999). Non-iron metalloporphyrins: potent antibacterial compounds that exploit haem/Hb uptake systems of pathogenic bacteria. Mol. Microbiol. 31, 429–442. doi: 10.1046/j.1365-2958.1999.01175.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, M. G., Corey, B. W., Si, Y., Craft, D. W., and Zurawski, D. V. (2012). Antibacterial activities of iron chelators against common nosocomial pathogens. Antimicrob. Agents Chemother. 56, 5419–5421. doi: 10.1128/AAC.01197-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Thompson, M. G., Truong-Le, V., Alamneh, Y. A., Black, C. C., Anderl, J., Honnold, C. L., et al. (2015). Evaluation of gallium citrate formulations against a multidrug-resistant strain of Klebsiella pneumoniae in a murine wound model of infection. Antimicrob. Agents Chemother. 59, 6484–6493. doi: 10.1128/AAC.00882-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Wandersman, C., and Delepelaire, P. (2004). Bacterial iron sources: from siderophores to hemophores. Annu. Rev. Microbiol. 58, 611–647. doi: 10.1146/annurev.micro.58.030603.123811

PubMed Abstract | CrossRef Full Text | Google Scholar

Weinberg, E. D. (2009). Iron availability and infection. Biochem. Biophys. Acta 1790, 600–605. doi: 10.1016/j.bbagen.2008.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

World Health Organization (2017). List of Antibiotic Resistant Priority Pathogens. Available online at: http://www.who.int/mediacentre/news/releases/2017/bacteria-antibiotics-needed/en/

Yildirim, S., Thompson, M. G., Jacobs, A. C., Zurawski, D. V., and Kirkup, B. C. (2016). Evaluation of parameters for high efficiency transformation of Acinetobacter baumannii. Sci. Rep. 6:22110. doi: 10.1038/srep22110

PubMed Abstract | CrossRef Full Text | Google Scholar