Next Article in Journal
Enhanced Immunogenicity and Affinity with A35R-Fc-Based Chimeric Protein Compared to MPXV A35R Protein
Previous Article in Journal
Genomic, Evolutionary, and Pathogenic Characterization of a New Polerovirus in Traditional Chinese Medicine Viola philippica
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Klebsiella pneumoniae Phage M198 and Its Therapeutic Potential

by
Lika Leshkasheli
1,
Ia Kusradze
2,3,
Darejan Bolkvadze
1,4,
Lia Askilashvili
1,
Maria Chichashvili
2,5,
Giorgi Tsertsvadze
6 and
Elisabed Zaldastanishvili
1,7,*
1
Laboratory of Molecular Biology, G. Eliava Institute of Bacteriophages, Microbiology and Virology, 0160 Tbilisi, Georgia
2
Laboratory of General Microbiology, G. Eliava Institute of Bacteriophages, Microbiology and Virology, 0160 Tbilisi, Georgia
3
Faculty of Medicine, European University, 0141 Tbilisi, Georgia
4
Program of Ecology, Faculty of Natural Sciences and Medicine, Ilia State University, 0162 Tbilisi, Georgia
5
Department of Immunology and Microbiology, Faculty of Exact and Natural Sciences, Ivane Javakhishvili Tbilisi State University, 0179 Tbilisi, Georgia
6
Electron Microscopy Unit, G. Eliava Institute of Bacteriophages, Microbiology and Virology, 0160 Tbilisi, Georgia
7
School of Science and Technology, University of Georgia, 0171 Tbilisi, Georgia
*
Author to whom correspondence should be addressed.
Viruses 2025, 17(1), 115; https://doi.org/10.3390/v17010115
Submission received: 30 December 2024 / Revised: 13 January 2025 / Accepted: 15 January 2025 / Published: 15 January 2025
(This article belongs to the Collection Phage Therapy)

Abstract

:
The rapid worldwide spread of antibiotic resistance is quickly becoming an increasingly concerning problem for human healthcare. Non-antibiotic antibacterial agents are in high demand for many Gram-negative bacterial pathogens, including Klebsiella pneumoniae. Klebsiella-targeting phages are among the most promising alternative therapy options. They have already been successfully applied in a number of cases, and it is expected that the need for anti-Klebsiella phages will only increase in the future. This prospect highlights the need for well-characterized therapeutic phages. In this work, we describe a K. pneumoniae phage, which also infects strains of Klebsiella oxytoca. Here, we characterize phage M198 in terms of its biological and genetic properties. Since in some phage therapy cases, phages are administered in combination with antibiotics, here, we also screen for possible synergistic effects of combining phage M198 with six different antibiotics. We found that phage M198 has good lytic activity against clinical isolates; it does not have any indications of a temperate lifestyle, and it has synergistic potential when combined with some therapeutically relevant antibiotics.

1. Introduction

The continuous and rapid spread of antibiotic-resistant bacteria creates a worldwide healthcare crisis, which, in 2050, could result in 8.22 million deaths globally [1]. Among the bacteria that contribute significantly to AMR-related deaths and illness are those belonging to the ESKAPE group (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) [2]. This group includes bacteria against which new antibiotics are urgently needed [3]. However, new antibiotic development has seen a drastic decline in recent decades and remains unattractive for pharmaceutical companies [4,5]. Various alternatives to antibiotics have been explored, among which phages are increasingly considered a promising option [6,7,8,9,10].
Phages have long been used in therapy against a variety of bacterial infectious diseases, including those caused by antibiotic-resistant strains [11,12]. Despite only a limited number of clinical trials addressing phage therapy, individual therapy cases are frequently reported and well documented [13,14]. These include pathogens belonging to the ESKAPE group [14,15,16,17,18].
ESKAPE group includes Klebsiella pneumoniae—an important Gram-negative pathogen—which causes a number of diseases in humans and remains among the difficult-to-treat pathogens due to the high prevalence of antibiotic-resistant strains [19,20]. Widespread antibiotic resistance among K. pneumoniae isolates has triggered an active search for alternative treatment options, including new phages. The number of reports about Klebsiella-targeting phages is increasing, as are phage therapy cases of both successful and unsuccessful treatments of Klebsiella-related infectious diseases [21,22,23,24,25,26,27,28,29,30]. Phage therapy often relies on an existing collection of therapeutic phages. Having a set of phages with complementing and overlapping host ranges covering a wide variety of clinical isolates is key to the fast selection of a suitable therapeutic phage, especially considering the diversity of medically relevant strains of Klebsiella [19,31]. For this pool of phages to be applied practically in therapy, they have to be well characterized. When characterizing phages for therapeutic purposes, exclusion of the carriage of virulence factor encoding genes and the absence of a lysogenic lifestyle are of utmost importance [32].
Well-characterized therapeutic phages can be used in therapy independently, in phage cocktails, or in combinations with traditional antibiotics [32,33,34,35]. Synergy, as well as antagonism between phages and antibiotics, have been reported to occur at various combinations of different pathogen-targeting phages and antibiotics in vitro [36,37,38,39,40,41]. Phage–antibiotic combinations have been explored against bacteria belonging to the ESKAPE group [34,42,43]. Clinical cases of in vivo administration of phages in combination with antibiotics are also increasingly being reported [44,45]. Despite the rising number of studies examining phage–antibiotic combinations, prediction of possible interactions remains difficult. Given the growing interest in the application of combinations, the synergistic potential of therapeutic phages could be included as an important characteristic to be assessed. Here, we, therefore, characterize K. pneumoniae phage M198 in terms of its biological and genetic properties as well as in terms of its potential to be combined with antibiotics.

2. Materials and Methods

2.1. Bacterial Strains and the Phage

One-hundred and one Klebsiella pneumoniae and two Klebsiella oxytoca strains were used in this study. This included two type strains from each species (K. pneumoniae ATCC 13883 (DSM 30104) and K. oxytoca ATCC 13182 (DSM 5175)), which were purchased from the German collection of microorganisms and cell cultures GmbH (DSMZ). The remaining 101 strains represent clinical isolates, which were provided by the Eliava Analytical-Diagnostic Center. Phage M198 was originally isolated from sewage water by water enrichment method [46].

2.2. Cultivation

The phage and all bacterial strains were routinely cultivated in liquid and solid LB medium at 37 °C without agitation. If not otherwise stated, cultures were incubated overnight (O/N). For phage propagation, bacterial suspensions from slant agar cultures were used. For the selection of susceptible target strains, a spot test was carried out on double-layer agar plates [47].

2.3. Electron Microscopy

Morphological assessment of intact phage particles was carried out through transmission electron microscopy (JEOL 100-SX, Jeol, Akishima-Shi, Tokyo, Japan). A total of 50 μL of a sterile-filtered phage suspension (5 × 1011 PFU/mL) was transferred onto carbon-coated copper grids (Electron Microscopy Sciences, Hatfield, PA, USA). Uranyl acetate was used for contrast. To visualize the morphology of phage particles in the preparation, instrumental magnification of ×40,000 was used.

2.4. Host Range and Efficiency of Plating

Phage host range was determined on one hundred clinical strains of K. pneumoniae, two type strains (K. pneumoniae ATCC 13883 and K. oxytoca ATCC 13182), and one clinical isolate of K. oxytoca. Lytic activity of the phage was examined by spotting 10 μL of phage suspension (5 × 107 pfu/mL) on a bacterial lawn [48]. The formation of a transparent zone in the spotted area was taken as an indicator of phage multiplication on target bacterial cells. The presence of a fully transparent or semi-clear zone in the spotted area was interpreted as phage sensitivity (S), opaque or turbid lysis as intermediate susceptibility (I), and no distinguishable lysis in the spotted area was interpreted as resistance to the phage (R).
Since phage sensitivity observed by spot test could be attributed to various non-phage-multiplication factors, we also performed experiments aiming at evaluating the efficiency of plating.
The efficiency of plating was determined on 20 selected susceptible strains of K. pneumoniae and 2 strains of K. oxytoca. The titer of phage propagated on the host bacterial strain was compared to the titer of the same phage propagated on bacterial strains of interest. The double-layer agar method was used to determine the phage titer on each bacterial strain [46,47,48].
The efficiency of bacteriophage cultivation was calculated as follows:
E = T T 0
where E is the efficiency, T is the phage titer on the bacterial strain of interest, and T0 is the phage titer on the host strain. The EOP was classified into high (≥0.5), medium (0.1–0.5), or low (0.001–0.1) [49].

2.5. One-Step Growth

Phage adsorption and one-step growth experiments were carried out on the original host strain, K. pneumoniae 198. For adsorption experiments, phage and host bacterial suspensions were mixed at a multiplicity of infection (MOI) of 0.1 and were immediately incubated at 37 °C in a water bath. For determination of the number of adsorbed phages every 5 min, 0.1 mL sample was transferred to chloroform-containing pre-cooled 9.9 mL of LB, which was immediately placed on ice for 10 min. The sample was then plated using the double-layer agar method. The percentage of adsorbed phage particles was calculated from the number of phage plaques formed, which corresponds to the number of non-adsorbed phage particles in the initial test mixture.
The time period from the moment of infection to the time-point of maximum phage adsorption (minimum number of non-adsorbed phages are experimentally recorded) represents the time required for the phage to adsorb to the host bacterium. After the determined adsorption period, the phage–bacterial mix suspension was titrated at 5–10 min intervals and plated using the double-layer agar method. The number of reproduced phages in the test suspension was determined this way. Obtained numbers indicate the parameters of a single cycle of intracellular phage development, such as the duration of the latent period and the phage burst size, which were calculated according to the literature [46,48].

2.6. Whole Genome Sequencing and Analysis

Phage DNA was isolated from a filtered lysate (5 × 1011 PFU/mL) using the Invitrogen Genomic DNA Mini Kit (Thermo Fisher Scientific, Life Technologies Corp., 5781 Van Allen Way, Carlsbad, CA, USA). Genome sequencing was carried out on the Illumina NovaSeq X platform in paired-end mode (Illumina, San Diego, CA, USA) by Macrogen Europe, based in Amsterdam, The Netherlands. A TruSeq PCR-free library preparation kit with an insert size of 350 bp was utilized. Quality control of the resulting fastq files was performed using FastQC (v0.12.1) [50], and de novo genome assembly was conducted using SPAdes v3.15.3 with default parameters [51]. Open reading frames (ORFs) were identified using GeneMark, and genome annotation was performed using Artemis [52,53]. Functional annotation was completed with PHROGs v4 [54]. A circular representation of the genome was generated using Geneious, while tRNA genes were identified with tRNAscan-SE v1.3.1 [55,56].
The following methods were used for phage genome comparison. The proteomic dendrogram was created using VIPtree [57]. Average nucleotide identity (ANI) was calculated by using the ANI calculator (OrthoANIu algorithm) [58].
The complete genome sequence has been deposited in GenBank under the accession number PQ182780.1.

2.7. Checkerboard Assay

Potential synergistic interactions between phage M198 and selected antibiotics were determined through a checkerboard assay. Polystyrene flat-bottomed 96-well plates were used. In each well, bacterial culture was inoculated to the starting titer of 5 × 105 CFU/mL in a total volume of 150 μL. Decreasing concentrations (two-fold serial dilutions) of antibiotics were applied in rows (from 1 to 10); phages were introduced in 10-fold dilutions in columns (A to H). On each plate, one row contained bacteria with only antibiotics, and one column contained bacteria with only phages (for an exemplary plate setup, see Figure S1). Wells in-between contained phage–antibiotic combinations. Phages were always applied at seven different titers from 2 × 108 PFU/mL to 2 × 102 PFU/mL in 10-fold serial dilutions. This corresponds to an MOI of 0.0004 to 400.
Plates were covered with breathable film (Breathe-Easy®, Diversified Biotech, Inc., Dedham, MA, USA) and were incubated for 18 h at 37 °C (with 1 min long shaking every 10 min) in a microplate reader (Thermo Fisher Scientific Multiskan SkyHigh Microplate Spectrophotometer, Carlsbad, CA, USA). Optical density (OD) measurements were taken every 10 min at 600 nm.
Minimal inhibitory concentrations (MICs) of tested antibiotics were determined according to the established liquid broth microdilution protocol with modifications [59]. The phage MIC was defined similarly by determining the optimal MOI, at which bacterial growth inhibition could be determined by visual inspection (corresponds to approximately a minimum of 60% growth inhibition compared to the control).
Synergistic interactions between phages and antibiotics were evaluated by calculating fractional inhibitory concentration index (FICi) values according to the following formula:
F I C i = F I C A + F I C B = M I C A B M I C A + M I C B A M I C B
where MICA and MICB are individual MICs of antibiotics and the phage, respectively, and MICAB and MICBA are the MICs of antibiotics and the phage in combinations. Interactions were defined as follows: FICi ≤ 0.5 = synergy; 0.5 < FICi ≤ 0.625 = potentiation; 0.625 < FICi ≤ 1.0 = additivity; 1.0 < FICi ≤ 4.0 = indifference; FICi > 4.0 = antagonism [60,61].
Antibiotics used in this work are listed in Table 1.

3. Results

3.1. Phage M198 Morphology

According to TEM, phage M198 appears to belong to the Myoviridae morphological group. It has an icosahedral head with an approximate size of 93 × 71 nm and a contractile tail with an approximate size of 110 × 17 nm (Figure 1). These observations correspond to the findings described in Section 3.4.

3.2. Phage Host Range and EOP

The phage host range was initially determined on 101 K. pneumonia strains. Later, two K. oxytoca strains were also included in the study. From 103 tested stains, phage M198 was active against 62, of which 29 were fully sensitive strains, and 33 showed intermediate sensitivity (Figure 2). Phage M198 showed no lytic activity against 41 tested strains.
The efficiency of plating was calculated relative to the host strain, K. pneumoniae 198, where the EOP is assumed to correspond to 1. From susceptible strains, only fully sensitive ones were selected for the determination of the EOP. The phage EOP was high on 20 strains and medium on two strains (Table 2). Seven strains with EOP values of 0 are not shown.

3.3. Phage One-Step Growth

One-step growth parameters were determined on the original host strain of the phage—K. pneumoniae 198. Phage M198 adsorbs to host cells in 10 min, at which time 91% of phage particles are adsorbed. The latent period lasts for 20 min, and the lysis time is 100 min (Figure S3). Phage burst size was calculated to be 100–115 viral particles per infected cell.

3.4. Phage Genome Analysis

According to genome analysis of phage M198 (GenBank: PQ182780.1), this phage contains a 167,310 bp long genome with 39.56% GC content. The analysis has revealed that this phage belongs to the Caudoviricetes class of the family of Staboviridae. More specifically, the Jiaodavirus genus of the Tevenvirinae subfamily. A comparison of the M198 phage genome to other known phages from public databases revealed its closeness to not just several Klebsiella phages but its close association with Enterobacter and Salmonella phages (Figure 3). ANI analysis revealed that the ANI between phage M198 and phage KPV15 (most similar phage from public database, GenBank accession: NC_055715.1) is 96.65%. This result indicates that both phages belong to the same species and, consequently, to the same subfamily [62].
The coding percentage of the phage M198 genome corresponds to 93.6%, including introns. A total of 271 open reading frames (ORFs) were identified, of which 134 encode hypothetical proteins with unknown functions. The remaining 137 ORFs were classified into functional categories as follows: 46 ORFs involved in DNA replication, repair, and metabolism; 47 ORFs related to DNA packaging and structural assembly; 8 ORFs associated with host lysis; 25 ORFs linked to auxiliary metabolism and host takeover functions; 10 ORFs involved in transcriptional regulation; and 1 ORF encoding a membrane protein. Additionally, the genome encodes 16 tRNAs (Figure 4).
Genes associated with structural assembly, crucial for the formation of the phage head, tail, and baseplate, were identified as head proteins: major head proteins (klpn_198-047, klpn_198-056, klpn_198-057), head scaffolding proteins (klpn_198-052, klpn_198-053, klpn_198-055) and head maturation protease (klpn_198-054, klpn_198-202). Tail proteins were identified as follows: tail sheath proteins (klpn_198-046, klpn_198-049), tail tube proteins (klpn_198-050, klpn_198-077), and tail fiber proteins (klpn_198-096, klpn_198-129, klpn_198-132). Baseplate Proteins: baseplate hub subunit (klpn_198-0742), baseplate wedge subunits (klpn_198-032, klpn_198-037, klpn_198-041) and tail lysozyme (klpn_198-029).
Key DNA/RNA and metabolism-associated proteins include the following: helicases: DNA helicases (klpn_198-051, klpn_198-066, klpn_198-067); ligases: ATP-dependent DNA ligase (klpn_198-081) and RNA ligases (klpn_198-026, klpn_198-060, klpn_198-108); polymerases and primases: DNA polymerases (klpn_198-192, klpn_198-196), DNA primases (klpn_198-032, klpn_198-179), and thymidylate synthases (klpn_198-114, klpn_198-184, klpn_198-189).
Phage M198 encodes several transcriptional regulators and modulators of gene expression, among which are transcription factors: late sigma transcription factor (klpn_198-206), translation repressor (klpn_198-193), transcriptional regulators (klpn_198-126, klpn_198-161, klpn_198-165); and two anti-sigma factors were detected (klpn_198-135, klpn_198-171).
The lysis module comprises eight genes, including five associated with host cell lysis: two spanins, an endolysin, and a holin. Additionally, four genes encode lysis inhibitor proteins. Twenty-five ORFs encode auxiliary enzymes and proteins contributing to metabolic processes and host takeover.
It is important to note that no genes known to be associated with temperate phage behavior were detected, suggesting that phage M198 follows a strictly lytic life cycle.

3.5. Phage–Antibiotic Synergy

Four bacterial strains were selected for phage–antibiotic synergy screening: two K. pneumoniae strains included the original host strain of phage M198, K. pneumoniae 198, and a reference strain, K. pneumoniae ATCC 13883, as well as two K. oxytoca strains, one clinical isolate, K. oxytoca 121a, and one reference strain, K. oxytoca ATCC 13182. In all four cases, phages were always applied at seven different MOIs from 0.0004 to 400 in 10-fold serial dilutions. The lowest MOI corresponds to 30 phage particles per well. Even at such a low MOI, we saw total inhibition of bacterial growth for two out of four tested strains: K. pneumoniae 198 and K. oxytoca ATCC 13182. While this result highlights the efficiency of this phage, it leaves no possibility of screening for synergy in this experimental setup. We therefore concentrated on two remaining strains, K. pneumoniae ATCC 13883 and K. oxytoca 121a, since for these two strains, it was possible to determine the optimal MOI. For the purposes of synergy determination, we refer to this optimal MOI as phage MIC (Table 3).
According to EUCAST, MICs of gentamicin-susceptible Klebsiella strains should not exceed 2 μg/mL [63]. In our case, both tested strains were found to be gentamicin-resistant (Table 3). Phage introduction did not lower the gentamicin MIC for either of the two strains. We, therefore, see no practical benefit in investigating the potential outcomes of such combinations. Despite being sensitive to ciprofloxacin and colistin, combining these two antibiotics with phage M198 also did not improve the antimicrobial effect of either ciprofloxacin or colistin or phage M198 (Figure 5).
Interestingly, synergistic interactions were observed between phage M198 and antibiotics with cardinally different modes of action. These included trimethoprim and cefepime for both tested strains and chloramphenicol in the case of K. pneumoniae ATCC 13883 (Figure 5). Interaction between phage M198 and chloramphenicol corresponds to potentiation in the case of K. oxytoca 121a.
Neither additivity nor antagonism were observed in any of the tested combinations.

4. Discussion

Here, we characterize phage M198, a phage originally isolated against K. pneumoniae from an environmental water sample. We examined its biological and genetic properties in order to establish its therapeutic potential.
An important characteristic of therapeutic phages is their host range. One of the very first steps in the process of therapeutic phage preparation is phage screening against the bacterial strain of interest, followed by the selection of phages to which the strain showed susceptibility [64]. From our experience, while the therapeutic application of phages with a very narrow host range is not very rare, phages with broad lytic activity will always be selected more frequently and, therefore, represent valuable members of every phage collection. In the case of phage M198, we saw that from tested strains, less than 40% were fully resistant to the phage. Despite the fact that the efficiency of plating of this phage was high on 19.4% of examined strains, intermediate sensitivity, which was observed on 32% of target strains if needed, offers the possibility of phage adaptation.
As it is known that some K. pneumoniae phages can infect bacterial strains of different species and even from different genera [26,30], it was unsurprising to see that the lytic activity of phage M198 covers at least two species of this genus. Considering the fact that K. oxytoca is rapidly emerging as an antibiotic-resistant pathogen, the need for non-antibiotic agents that target this bacterium is also expected to multiply in the future [65,66,67]. Phages remain a promising alternative to antibiotics here, but it is worth noting that besides the isolation of K. oxytoca-specific phages, K. pneumoniae phages with broad lytic activity should also be considered, especially in the processes of cocktail formulation. We, therefore, think that K. pneumoniae phages from existing collections should also be screened for their activity against strains of different species.
For the further establishment of an actual breadth of the lytic spectrum of phage M198, it would be beneficial to study its activity on more K. oxytoca strains as well as on strains from related genera, such as Raoultella.
Compared to using mono-phages, phage cocktails are often considered more effective, specifically because of the reduced emergence of phage resistance in targeted bacteria [68,69,70,71]. While genetic relatedness and capsular characteristics of target strains examined here were not investigated in this work, we believe that the reported lytic range suggests that phage M198 could be a good candidate for phage cocktail development. At the same time, we saw how this phage could totally inhibit the bacterial growth of selected strains without observable regrowth after 18 h. This observation puts phage M198 among those phages that can be used independently in personalized medicine.
The genomic analysis of phage M198 provides valuable insights into its genetic architecture and biological functionality. With a genome length of 167,310 bp and a GC content of 39.56%, M198 exhibits a high coding density of 93.6%, which is consistent with the compact genomes typically observed in bacteriophages. The identification of 271 open reading frames (ORFs), of which nearly 50% encode hypothetical proteins, highlights the need for further functional studies to elucidate the roles of these uncharacterized genes.
The functional classification of the remaining ORFs into key biological categories underscores the phage’s sophisticated genomic organization. Genes involved in DNA replication, repair, and metabolism, as well as those linked to DNA packaging and structural assembly, are crucial for the successful propagation of the phage within its host. The presence of 47 ORFs associated with structural proteins confirms the complex machinery required for head, tail, and baseplate assembly. Specifically, the identification of major head proteins (e.g., klpn_198-047), tail sheath proteins (e.g., klpn_198-046), and baseplate components (e.g., klpn_198-032) suggests the modular assembly typical of bacteriophages with contractile tails—in line with morphology observed by TEM [72].
Transcriptional regulation appears to be finely controlled in phage M198, with several ORFs encoding transcription factors, anti-sigma factors, and repressors. These genes likely coordinate the temporal expression of phage proteins, ensuring efficient utilization of host resources. For instance, the late sigma transcription factor (klpn_198-206) likely regulates late-stage structural and assembly gene expression.
The lysis module, consisting of holins, spanins, and endolysins, demonstrates the phage’s capacity for efficient host cell lysis. Notably, the presence of lysis inhibitor proteins suggests the potential for controlled lysis, which could enhance phage fitness by allowing optimal viral particle assembly before host cell rupture.
The genome of phage M198 encodes 16 tRNAs, which may contribute to overcoming host codon usage biases and facilitating efficient translation of phage proteins. This feature is particularly advantageous for phages infecting diverse bacterial hosts.
A significant finding is the absence of genes associated with lysogeny, indicating that phage M198 exclusively follows a lytic life cycle. This characteristic, combined with its auxiliary metabolism and host takeover genes, underscores its adaptability and potential as a therapeutic agent in phage therapy.
Overall, the genomic features of phage M198 reflect an efficient lytic lifestyle. Future research should aim to functionally characterize hypothetical proteins and explore their possible role in defining the phage interactions with host cells. This would allow us to better understand phage’s therapeutic potential and determinants of its traits, including its potential to be successfully employed in combination with traditional antibiotics.
Here, we combined phage M198 with 6 different antibiotics and evaluated their effect on two strains representing two species of Klebsiella genus. Cefepime and trimethoprim, which target cell wall and folate synthesis, respectively, both showed synergistic effects in combination with M198. We also examined chloramphenicol and gentamicin, both protein synthesis-targeting antibiotics but with different ribosomal targets. Interestingly, we did not see any effect of combining phage with gentamicin, while with chloramphenicol, we saw synergy or potentiation. It must be noted that all positive effects were observed at antibiotic concentrations lower than MIC. This is in line with reports reviewed previously [73,74]. If we consider phages as agents with the potential to reduce antibiotic MICs, we could hope for the reduction of side effects in those cases where synergistic combinations of phages and antibiotics are applied in therapy.
Though in this work we have seen similar effects of selected phage-antibiotic combinations on two strains belonging to different species, this observation cannot be taken as an indication that a similar picture can be expected if another phage is combined with the same antibiotics or if the same combinations are employed against other strains. We believe that such screenings are an important step to be taken before practical applications, but at the same time, further research is required to understand the mechanisms of synergy for each confirmed synergistic combination. It must be noted that we screened phage–antibiotic combinations exclusively in LB. LB does not reflect in vivo conditions, in which the same antibacterial agents would be applied in case of therapy. Therefore, even if mechanisms of synergistic interactions are known, it is important to evaluate the possible effects of environmental factors on observed interactions, especially since it is known that host factors can influence the efficacy of phage therapy [75].
Recently, phage–antibiotic synergy was observed in vivo against Acinetobacter baumannii [76]. This is an important step towards reconsideration of antibiotic use in cases when they would not be chosen as sole treatment agents. In our work, we see that synergy can be achieved at varying doses of antibiotics. In addition to the correct selection of combinations, dose appropriation also needs to be taken into consideration. We think that routine in vitro screening of therapeutic phages and relevant antibiotics should precede the decision to combine these two agents in patients, especially since antagonistic interactions cannot be immediately excluded [74,77].

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/v17010115/s1. Figure S1: An example of a 96-well plate setup. Figure S2: Detailed genome map of phage M198; Figure S3: One-step growth of phage M198. Table S1: Results of phage susceptibility testing and calculated EOP values. Table S2: FICi values calculated for each phage-antibiotic combination.

Author Contributions

Conceptualization, L.L. and E.Z.; Data curation, L.L., I.K. and E.Z.; Formal analysis, L.L., I.K., L.A., M.C., G.T. and E.Z.; Funding acquisition, E.Z.; Investigation, L.L., I.K., D.B. and E.Z.; Methodology, L.L., I.K. and E.Z.; Project administration, E.Z.; Resources, E.Z.; Software, I.K.; Supervision, E.Z.; Validation, I.K. and E.Z.; Visualization, L.L., I.K. and E.Z.; Writing—original draft, L.L., I.K. and E.Z.; Writing—review and editing, E.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by SHOTA RUSTAVELI NATIONAL SCIENCE FOUNDATION OF GEORGIA, grant number YS-22-2100. The APC was funded by the SHOTA RUSTAVELI NATIONAL SCIENCE FOUNDATION OF GEORGIA, grant number YS-22-2100, and by ELIAVA FOUNDATION.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article and in Supplementary Material.

Acknowledgments

We would like to thank Giorgi Zaalishvili and Margarita Karapetian for their valuable input in the interpretation of synergy experiments and Pikria Goglidze for her exceptional technical support.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Naghavi, M.; Vollset, S.E.; Ikuta, K.S.; Swetschinski, L.R.; Gray, A.P.; Wool, E.E.; Robles Aguilar, G.; Mestrovic, T.; Smith, G.; Han, C.; et al. Global Burden of Bacterial Antimicrobial Resistance 1990–2021: A Systematic Analysis with Forecasts to 2050. Lancet 2024, 404, 1199–1226. [Google Scholar] [CrossRef] [PubMed]
  2. Pendleton, J.N.; Gorman, S.P.; Gilmore, B.F. Clinical Relevance of the ESKAPE Pathogens. Expert Rev. Anti-Infect. Ther. 2013, 11, 297–308. [Google Scholar] [CrossRef]
  3. World Health Organization. WHO Publishes List of Bacteria for Which New Antibiotics Are Urgently Needed; WHO: Geneva, Switzerland, 2017. [Google Scholar]
  4. Brüssow, H. The Antibiotic Resistance Crisis and the Development of New Antibiotics. Microb. Biotechnol. 2024, 17, e14510. [Google Scholar] [CrossRef]
  5. Conly, J.; Johnston, B. Where Are All the New Antibiotics? The New Antibiotic Paradox. Can. J. Infect. Dis. Med. Microbiol. 2005, 16, 159–160. [Google Scholar] [CrossRef] [PubMed]
  6. Gordillo Altamirano, F.L.; Barr, J.J. Phage Therapy in the Postantibiotic Era. Clin. Microbiol. Rev. 2019, 32, e00066-18. [Google Scholar] [CrossRef]
  7. Strathdee, S.A.; Hatfull, G.F.; Mutalik, V.K.; Schooley, R.T. Phage Therapy: From Biological Mechanisms to Future Directions. Cell 2023, 186, 17–31. [Google Scholar] [CrossRef]
  8. Kutateladze, M.; Leshkasheli, L.; Bolkvadze, D.; Askilashvili, L.; Balarjishvili, N. Bacteriophages against Multidrug Resistant Bacterial Infections. Int. J. Infect. Dis. 2016, 53, 46–47. [Google Scholar] [CrossRef]
  9. Brüssow, H. Bacteriophage Therapy: Potential and Problems. In Encyclopedia of Microbiology; Elsevier: Amsterdam, The Netherlands, 2009; pp. 267–273. ISBN 978-0-12-373944-5. [Google Scholar]
  10. El Haddad, L.; Harb, C.P.; Gebara, M.A.; Stibich, M.A.; Chemaly, R.F. A Systematic and Critical Review of Bacteriophage Therapy against Multidrug-Resistant ESKAPE Organisms in Humans. Clin. Infect. Dis. 2019, 69, 167–178. [Google Scholar] [CrossRef] [PubMed]
  11. Chanishvili, N. Phage Therapy—History from Twort and d’Herelle Through Soviet Experience to Current Approaches. In Advances in Virus Research; Elsevier: Amsterdam, The Netherlands, 2012; Volume 83, pp. 3–40. ISBN 978-0-12-394438-2. [Google Scholar]
  12. Hatfull, G.F.; Dedrick, R.M.; Schooley, R.T. Phage Therapy for Antibiotic-Resistant Bacterial Infections. Annu. Rev. Med. 2022, 73, 197–211. [Google Scholar] [CrossRef]
  13. Melo, L.D.R.; Oliveira, H.; Pires, D.P.; Dabrowska, K.; Azeredo, J. Phage Therapy Efficacy: A Review of the Last 10 Years of Preclinical Studies. Crit. Rev. Microbiol. 2020, 46, 78–99. [Google Scholar] [CrossRef]
  14. Pirnay, J.-P.; Djebara, S.; Steurs, G.; Griselain, J.; Cochez, C.; De Soir, S.; Glonti, T.; Spiessens, A.; Vanden Berghe, E.; Green, S.; et al. Personalized Bacteriophage Therapy Outcomes for 100 Consecutive Cases: A Multicentre, Multinational, Retrospective Observational Study. Nat. Microbiol. 2024, 9, 1434–1453. [Google Scholar] [CrossRef]
  15. Pires, D.P.; Vilas Boas, D.; Sillankorva, S.; Azeredo, J. Phage Therapy: A Step Forward in the Treatment of Pseudomonas Aeruginosa Infections. J. Virol. 2015, 89, 7449–7456. [Google Scholar] [CrossRef]
  16. Tan, Y.; Su, J.; Fu, M.; Zhang, H.; Zeng, H. Recent Advances in Phage-Based Therapeutics for Multi-Drug Resistant Acinetobacter Baumannii. Bioengineering 2022, 10, 35. [Google Scholar] [CrossRef] [PubMed]
  17. Tu, Q.; Pu, M.; Li, Y.; Wang, Y.; Li, M.; Song, L.; Li, M.; An, X.; Fan, H.; Tong, Y. Acinetobacter Baumannii Phages: Past, Present and Future. Viruses 2023, 15, 673. [Google Scholar] [CrossRef] [PubMed]
  18. Plumet, L.; Ahmad-Mansour, N.; Dunyach-Remy, C.; Kissa, K.; Sotto, A.; Lavigne, J.-P.; Costechareyre, D.; Molle, V. Bacteriophage Therapy for Staphylococcus Aureus Infections: A Review of Animal Models, Treatments, and Clinical Trials. Front. Cell. Infect. Microbiol. 2022, 12, 907314. [Google Scholar] [CrossRef]
  19. Holt, K.E.; Wertheim, H.; Zadoks, R.N.; Baker, S.; Whitehouse, C.A.; Dance, D.; Jenney, A.; Connor, T.R.; Hsu, L.Y.; Severin, J.; et al. Genomic Analysis of Diversity, Population Structure, Virulence, and Antimicrobial Resistance in Klebsiella pneumoniae, an Urgent Threat to Public Health. Proc. Natl. Acad. Sci. USA 2015, 112, E3574–E3581. [Google Scholar] [CrossRef]
  20. Dong, N.; Yang, X.; Chan, E.W.-C.; Zhang, R.; Chen, S. Klebsiella Species: Taxonomy, Hypervirulence and Multidrug Resistance. EBioMedicine 2022, 79, 103998. [Google Scholar] [CrossRef]
  21. Corbellino, M.; Kieffer, N.; Kutateladze, M.; Balarjishvili, N.; Leshkasheli, L.; Askilashvili, L.; Tsertsvadze, G.; Rimoldi, S.G.; Nizharadze, D.; Hoyle, N.; et al. Eradication of a Multidrug-Resistant, Carbapenemase-Producing Klebsiella pneumoniae Isolate Following Oral and Intra-Rectal Therapy with a Custom Made, Lytic Bacteriophage Preparation. Clin. Infect. Dis. 2020, 70, 1998–2001. [Google Scholar] [CrossRef] [PubMed]
  22. Zaldastanishvili, E.; Leshkasheli, L.; Dadiani, M.; Nadareishvili, L.; Askilashvili, L.; Kvatadze, N.; Goderdzishvili, M.; Kutateladze, M.; Balarjishvili, N. Phage Therapy Experience at the Eliava Phage Therapy Center: Three Cases of Bacterial Persistence. Viruses 2021, 13, 1901. [Google Scholar] [CrossRef]
  23. Kelly, L.; Jameson, E. Bacteriophage Cocktail Shows No Toxicity and Improves the Survival of Galleria mellonella Infected with Klebsiella spp. J. Virol. 2024, 98, e00272-24. [Google Scholar] [CrossRef] [PubMed]
  24. Onallah, H.; Hazan, R.; Nir-Paz, R.; Israeli Phage Therapy Center (IPTC) Study Team; Yerushalmy, O.; Rimon, A.; Braunstein, R.; Gelman, D.; Alkalay, S.; Abdalrhman, M.; et al. Compassionate Use of Bacteriophages for Failed Persistent Infections During the First 5 Years of the Israeli Phage Therapy Center. Open Forum Infect. Dis. 2023, 10, ofad221. [Google Scholar] [CrossRef]
  25. Park, E.-A.; Kim, Y.-T.; Cho, J.-H.; Ryu, S.; Lee, J.-H. Characterization and Genome Analysis of Novel Bacteriophages Infecting the Opportunistic Human Pathogens Klebsiella oxytoca and K. pneumoniae. Arch. Virol. 2017, 162, 1129–1139. [Google Scholar] [CrossRef]
  26. Verma, V.; Harjai, K.; Chhibber, S. Characterization of a T7-like Lytic Bacteriophage of Klebsiella pneumoniae B5055: A Potential Therapeutic Agent. Curr. Microbiol. 2009, 59, 274–281. [Google Scholar] [CrossRef] [PubMed]
  27. Herridge, W.P.; Shibu, P.; O’Shea, J.; Brook, T.C.; Hoyles, L. Bacteriophages of Klebsiella Spp., Their Diversity and Potential Therapeutic Uses. J. Med. Microbiol. 2020, 69, 176–194. [Google Scholar] [CrossRef] [PubMed]
  28. Weber-Dąbrowska, B.; Żaczek, M.; Łobocka, M.; Łusiak-Szelachowska, M.; Owczarek, B.; Orwat, F.; Łodej, N.; Skaradzińska, A.; Łaczmański, Ł.; Martynowski, D.; et al. Characteristics of Environmental Klebsiella Pneumoniae and Klebsiella Oxytoca Bacteriophages and Their Therapeutic Applications. Pharmaceutics 2023, 15, 434. [Google Scholar] [CrossRef]
  29. Karumidze, N.; Kusradze, I.; Rigvava, S.; Goderdzishvili, M.; Rajakumar, K.; Alavidze, Z. Isolation and Characterisation of Lytic Bacteriophages of Klebsiella pneumoniae and Klebsiella oxytoca. Curr. Microbiol. 2013, 66, 251–258. [Google Scholar] [CrossRef] [PubMed]
  30. Townsend, E.M.; Kelly, L.; Gannon, L.; Muscatt, G.; Dunstan, R.; Michniewski, S.; Sapkota, H.; Kiljunen, S.J.; Kolsi, A.; Skurnik, M.; et al. Isolation and Characterization of Klebsiella Phages for Phage Therapy. PHAGE 2021, 2, 26–42. [Google Scholar] [CrossRef]
  31. Gorrie, C.L.; Mirčeta, M.; Wick, R.R.; Judd, L.M.; Lam, M.M.C.; Gomi, R.; Abbott, I.J.; Thomson, N.R.; Strugnell, R.A.; Pratt, N.F.; et al. Genomic Dissection of Klebsiella pneumoniae Infections in Hospital Patients Reveals Insights into an Opportunistic Pathogen. Nat. Commun. 2022, 13, 3017. [Google Scholar] [CrossRef] [PubMed]
  32. Chan, B.K.; Abedon, S.T.; Loc-Carrillo, C. Phage Cocktails and the Future of Phage Therapy. Future Microbiol. 2013, 8, 769–783. [Google Scholar] [CrossRef] [PubMed]
  33. Li, X.; He, Y.; Wang, Z.; Wei, J.; Hu, T.; Si, J.; Tao, G.; Zhang, L.; Xie, L.; Abdalla, A.E.; et al. A Combination Therapy of Phages and Antibiotics: Two Is Better than One. Int. J. Biol. Sci. 2021, 17, 3573–3582. [Google Scholar] [CrossRef]
  34. Malik, S.; Nehra, K.; Rana, J.S. Bacteriophage Cocktail and Phage Antibiotic Synergism as Promising Alternatives to Conventional Antibiotics for the Control of Multi-Drug-Resistant Uropathogenic Escherichia coli. Virus Res. 2021, 302, 198496. [Google Scholar] [CrossRef] [PubMed]
  35. North, O.I.; Brown, E.D. Phage–Antibiotic Combinations: A Promising Approach to Constrain Resistance Evolution in Bacteria. Ann. N. Y. Acad. Sci. 2021, 1496, 23–34. [Google Scholar] [CrossRef] [PubMed]
  36. Danis-Wlodarczyk, K.M.; Cai, A.; Chen, A.; Gittrich, M.R.; Sullivan, M.B.; Wozniak, D.J.; Abedon, S.T. Friends or Foes? Rapid Determination of Dissimilar Colistin and Ciprofloxacin Antagonism of Pseudomonas aeruginosa Phages. Pharmaceuticals 2021, 14, 1162. [Google Scholar] [CrossRef] [PubMed]
  37. Gu Liu, C.; Green, S.I.; Min, L.; Clark, J.R.; Salazar, K.C.; Terwilliger, A.L.; Kaplan, H.B.; Trautner, B.W.; Ramig, R.F.; Maresso, A.W. Phage-Antibiotic Synergy Is Driven by a Unique Combination of Antibacterial Mechanism of Action and Stoichiometry. mBio 2020, 11, e01462-20. [Google Scholar] [CrossRef] [PubMed]
  38. Easwaran, M.; De Zoysa, M.; Shin, H. Application of Phage Therapy: Synergistic Effect of Phage EcSw (ΦEcSw) and Antibiotic Combination towards Antibiotic-resistant Escherichia coli. Transbound. Emerg. Dis. 2020, 67, 2809–2817. [Google Scholar] [CrossRef]
  39. Kim, M.; Jo, Y.; Hwang, Y.J.; Hong, H.W.; Hong, S.S.; Park, K.; Myung, H. Phage-Antibiotic Synergy via Delayed Lysis. Appl. Environ. Microbiol. 2018, 84, e02085-18. [Google Scholar] [CrossRef] [PubMed]
  40. Manohar, P.; Madurantakam Royam, M.; Loh, B.; Bozdogan, B.; Nachimuthu, R.; Leptihn, S. Synergistic Effects of Phage–Antibiotic Combinations against Citrobacter amalonaticus. ACS Infect. Dis. 2022, 8, 59–65. [Google Scholar] [CrossRef]
  41. Verma, V.; Harjai, K.; Chhibber, S. Restricting Ciprofloxacin-Induced Resistant Variant Formation in Biofilm of Klebsiella pneumoniae B5055 by Complementary Bacteriophage Treatment. J. Antimicrob. Chemother. 2009, 64, 1212–1218. [Google Scholar] [CrossRef]
  42. Kunz Coyne, A.J.; Eshaya, M.; Bleick, C.; Vader, S.; Biswas, B.; Wilson, M.; Deschenes, M.V.; Alexander, J.; Lehman, S.M.; Rybak, M.J. Exploring Synergistic and Antagonistic Interactions in Phage-Antibiotic Combinations against ESKAPE Pathogens. Microbiol. Spectr. 2024, 12, e00427-24. [Google Scholar] [CrossRef]
  43. Kebriaei, R.; Lev, K.; Morrisette, T.; Stamper, K.C.; Abdul-Mutakabbir, J.C.; Lehman, S.M.; Morales, S.; Rybak, M.J. Bacteriophage-Antibiotic Combination Strategy: An Alternative against Methicillin-Resistant Phenotypes of Staphylococcus aureus. Antimicrob. Agents Chemother. 2020, 64, e00461-20. [Google Scholar] [CrossRef]
  44. Eskenazi, A.; Lood, C.; Wubbolts, J.; Hites, M.; Balarjishvili, N.; Leshkasheli, L.; Askilashvili, L.; Kvachadze, L.; van Noort, V.; Wagemans, J.; et al. Combination of Pre-Adapted Bacteriophage Therapy and Antibiotics for Treatment of Fracture-Related Infection Due to Pandrug-Resistant Klebsiella pneumoniae. Nat. Commun. 2022, 13, 302. [Google Scholar] [CrossRef] [PubMed]
  45. Chen, B.; Ponce Benavente, L.; Chittò, M.; Post, V.; Constant, C.; Zeiter, S.; Nylund, P.; D’Este, M.; González Moreno, M.; Trampuz, A.; et al. Combination of Bacteriophages and Vancomycin in a Co-Delivery Hydrogel for Localized Treatment of Fracture-Related Infections. npj Biofilms Microbiomes 2024, 10, 77. [Google Scholar] [CrossRef] [PubMed]
  46. Adams, M.H. Bacteriophages. Appendix: Methods of Study of Bacterial Viruses; An Interscience Reprint; Interscience Publishers: Geneva, Switzerland, 1959. [Google Scholar]
  47. Kutter, E. Phage Host Range and Efficiency of Plating. In Bacteriophages; Clokie, M.R.J., Kropinski, A.M., Eds.; Methods in Molecular Biology; Humana Press: Totowa, NJ, USA, 2009; Volume 501, pp. 141–149. ISBN 978-1-58829-682-5. [Google Scholar]
  48. Bacteriophages; Clokie, M.R.J., Kropinski, A.M., Eds.; Methods in Molecular Biology; Humana Press: Totowa, NJ, USA, 2009; Volume 501, ISBN 978-1-58829-682-5. [Google Scholar]
  49. Khan Mirzaei, M.; Nilsson, A.S. Isolation of Phages for Phage Therapy: A Comparison of Spot Tests and Efficiency of Plating Analyses for Determination of Host Range and Efficacy. PLoS ONE 2015, 10, e0118557. [Google Scholar] [CrossRef]
  50. Wingett, S.W.; Andrews, S. FastQ Screen: A Tool for Multi-Genome Mapping and Quality Control. F1000Res 2018, 7, 1338. [Google Scholar] [CrossRef] [PubMed]
  51. Bankevich, A.; Nurk, S.; Antipov, D.; Gurevich, A.A.; Dvorkin, M.; Kulikov, A.S.; Lesin, V.M.; Nikolenko, S.I.; Pham, S.; Prjibelski, A.D.; et al. SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing. J. Comput. Biol. 2012, 19, 455–477. [Google Scholar] [CrossRef]
  52. Besemer, J. GeneMarkS: A Self-Training Method for Prediction of Gene Starts in Microbial Genomes. Implications for Finding Sequence Motifs in Regulatory Regions. Nucleic Acids Res. 2001, 29, 2607–2618. [Google Scholar] [CrossRef] [PubMed]
  53. Carver, T.; Harris, S.R.; Berriman, M.; Parkhill, J.; McQuillan, J.A. Artemis: An Integrated Platform for Visualization and Analysis of High-Throughput Sequence-Based Experimental Data. Bioinformatics 2012, 28, 464–469. [Google Scholar] [CrossRef]
  54. Terzian, P.; Olo Ndela, E.; Galiez, C.; Lossouarn, J.; Pérez Bucio, R.E.; Mom, R.; Toussaint, A.; Petit, M.-A.; Enault, F. PHROG: Families of Prokaryotic Virus Proteins Clustered Using Remote Homology. NAR Genom. Bioinform. 2021, 3, lqab067. [Google Scholar] [CrossRef] [PubMed]
  55. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C.; et al. Geneious Basic: An Integrated and Extendable Desktop Software Platform for the Organization and Analysis of Sequence Data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef]
  56. Chan, P.P.; Lowe, T.M. tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences. In Gene Prediction; Kollmar, M., Ed.; Methods in Molecular Biology; Springer: New York, NY, USA, 2019; Volume 1962, pp. 1–14. ISBN 978-1-4939-9172-3. [Google Scholar]
  57. Nishimura, Y.; Yoshida, T.; Kuronishi, M.; Uehara, H.; Ogata, H.; Goto, S. ViPTree: The Viral Proteomic Tree Server. Bioinformatics 2017, 33, 2379–2380. [Google Scholar] [CrossRef]
  58. Yoon, S.-H.; Ha, S.; Lim, J.; Kwon, S.; Chun, J. A Large-Scale Evaluation of Algorithms to Calculate Average Nucleotide Identity. Antonie Leeuwenhoek 2017, 110, 1281–1286. [Google Scholar] [CrossRef] [PubMed]
  59. Kadeřábková, N.; Mahmood, A.J.S.; Mavridou, D.A.I. Antibiotic Susceptibility Testing Using Minimum Inhibitory Concentration (MIC) Assays. npj Antimicrob. Resist. 2024, 2, 37. [Google Scholar] [CrossRef]
  60. Synergism Testing: Broth Microdilution Checkerboard and Broth Macrodilution Methods. In Clinical Microbiology Procedures Handbook; Leber, A.L., Ed.; ASM Press: Washington, DC, USA, 2016; pp. 5.16.1–5.16.23. ISBN 978-1-68367-076-6. [Google Scholar]
  61. Karapetian, M.; Alimbarashvili, E.; Vishnepolsky, B.; Gabrielian, A.; Rosenthal, A.; Hurt, D.E.; Tartakovsky, M.; Mchedlishvili, M.; Arsenadze, D.; Pirtskhalava, M.; et al. Evaluation of the Synergistic Potential and Mechanisms of Action for De Novo Designed Cationic Antimicrobial Peptides. Heliyon 2024, 10, e27852. [Google Scholar]
  62. Adriaenssens, E.; Brister, J.R. How to Name and Classify Your Phage: An Informal Guide. Viruses 2017, 9, 70. [Google Scholar] [CrossRef] [PubMed]
  63. The European Committee on Antimicrobial Susceptibility Testing. Breakpoint Tables for Interpretation of MICs and Zone Diameters; Version 12.0; The European Committee on Antimicrobial Susceptibility Testing: Sören Gatermann, Germany, 2022. [Google Scholar]
  64. Glonti, T.; Pirnay, J.-P. In Vitro Techniques and Measurements of Phage Characteristics That Are Important for Phage Therapy Success. Viruses 2022, 14, 1490. [Google Scholar] [CrossRef] [PubMed]
  65. Wall, K.; Macori, G.; Koolman, L.; Li, F.; Fanning, S. Klebsiella, a Hitherto Underappreciated Zoonotic Pathogen of Importance to One Health: A Short Review. Zoonoses 2023, 3, 962. [Google Scholar] [CrossRef]
  66. Ikhimiukor, O.O.; Souza, S.S.R.; Akintayo, I.J.; Marcovici, M.M.; Workman, A.; Martin, I.W.; Andam, C.P. Phylogenetic Lineages and Antimicrobial Resistance Determinants of Clinical Klebsiella oxytoca Spanning Local to Global Scales. Microbiol. Spectr. 2023, 11, e00549-23. [Google Scholar] [CrossRef]
  67. Neog, N.; Phukan, U.; Puzari, M.; Sharma, M.; Chetia, P. Klebsiella oxytoca and Emerging Nosocomial Infections. Curr. Microbiol. 2021, 78, 1115–1123. [Google Scholar] [CrossRef] [PubMed]
  68. Chen, H.; Liu, H.; Gong, Y.; Dunstan, R.A.; Ma, Z.; Zhou, C.; Zhao, D.; Tang, M.; Lithgow, T.; Zhou, T. A Klebsiella-Phage Cocktail to Broaden the Host Range and Delay Bacteriophage Resistance Both in Vitro and in Vivo. npj Biofilms Microbiomes 2024, 10, 127. [Google Scholar] [CrossRef] [PubMed]
  69. Yoo, S.; Lee, K.-M.; Kim, N.; Vu, T.N.; Abadie, R.; Yong, D. Designing Phage Cocktails to Combat the Emergence of Bacteriophage-Resistant Mutants in Multidrug-Resistant Klebsiella pneumoniae. Microbiol. Spectr. 2024, 12, e01258-23. [Google Scholar] [CrossRef] [PubMed]
  70. Zhao, M.; Li, H.; Gan, D.; Wang, M.; Deng, H.; Yang, Q.E. Antibacterial Effect of Phage Cocktails and Phage-Antibiotic Synergy against Pathogenic Klebsiella pneumoniae. mSystems 2024, 9, e00607-24. [Google Scholar] [CrossRef]
  71. Gu, J.; Liu, X.; Li, Y.; Han, W.; Lei, L.; Yang, Y.; Zhao, H.; Gao, Y.; Song, J.; Lu, R.; et al. A Method for Generation Phage Cocktail with Great Therapeutic Potential. PLoS ONE 2012, 7, e31698. [Google Scholar] [CrossRef]
  72. Fokine, A.; Rossmann, M.G. Molecular Architecture of Tailed Double-Stranded DNA Phages. Bacteriophage 2014, 4, e28281. [Google Scholar] [CrossRef] [PubMed]
  73. Tagliaferri, T.L.; Jansen, M.; Horz, H.-P. Fighting Pathogenic Bacteria on Two Fronts: Phages and Antibiotics as Combined Strategy. Front. Cell. Infect. Microbiol. 2019, 9, 22. [Google Scholar] [CrossRef]
  74. Abedon, S.T. Phage-Antibiotic Combination Treatments: Antagonistic Impacts of Antibiotics on the Pharmacodynamics of Phage Therapy? Antibiotics 2019, 8, 182. [Google Scholar] [CrossRef]
  75. Roach, D.R.; Leung, C.Y.; Henry, M.; Morello, E.; Singh, D.; Di Santo, J.P.; Weitz, J.S.; Debarbieux, L. Synergy between the Host Immune System and Bacteriophage Is Essential for Successful Phage Therapy against an Acute Respiratory Pathogen. Cell Host Microbe 2017, 22, 38–47.e4. [Google Scholar] [CrossRef] [PubMed]
  76. Gordillo Altamirano, F.L.; Kostoulias, X.; Subedi, D.; Korneev, D.; Peleg, A.Y.; Barr, J.J. Phage-Antibiotic Combination Is a Superior Treatment against Acinetobacter baumannii in a Preclinical Study. eBioMedicine 2022, 80, 104045. [Google Scholar] [CrossRef]
  77. Zuo, P.; Yu, P.; Alvarez, P.J.J. Aminoglycosides Antagonize Bacteriophage Proliferation, Attenuating Phage Suppression of Bacterial Growth, Biofilm Formation, and Antibiotic Resistance. Appl. Environ. Microbiol. 2021, 87, e00468-21. [Google Scholar] [CrossRef] [PubMed]
Figure 1. TEM image of phage M198. Scale bar corresponds to 100 nm.
Figure 1. TEM image of phage M198. Scale bar corresponds to 100 nm.
Viruses 17 00115 g001
Figure 2. Lytic activity of phage M198 against 103 Klebsiella strains (101 K. pneumoniae strains and 2 K. oxytoca strains). Percentages of sensitive and intermediately strains are presented in green and blue, respectively; percentage of resistant strains is presented in yellow. Please see Table S1 for the list of tested strains.
Figure 2. Lytic activity of phage M198 against 103 Klebsiella strains (101 K. pneumoniae strains and 2 K. oxytoca strains). Percentages of sensitive and intermediately strains are presented in green and blue, respectively; percentage of resistant strains is presented in yellow. Please see Table S1 for the list of tested strains.
Viruses 17 00115 g002
Figure 3. Proteomic dendrogram of phage M198. Relatedness to phages with publicly available phage genomes (a). A set of phages closely related to phage M198 (b). Proteomic dendrogram was generated by VipTree software version 4.0 [57]. Red stars indicate the location of phage M198 on the dendrogram.
Figure 3. Proteomic dendrogram of phage M198. Relatedness to phages with publicly available phage genomes (a). A set of phages closely related to phage M198 (b). Proteomic dendrogram was generated by VipTree software version 4.0 [57]. Red stars indicate the location of phage M198 on the dendrogram.
Viruses 17 00115 g003
Figure 4. Genome map of phage M198. Colors indicate genes of different functional modules. Genes of unknown function are shown in khaki. tRNA-encoding genes are indicated. More detailed mapping of genes of known function is presented in Figure S2.
Figure 4. Genome map of phage M198. Colors indicate genes of different functional modules. Genes of unknown function are shown in khaki. tRNA-encoding genes are indicated. More detailed mapping of genes of known function is presented in Figure S2.
Viruses 17 00115 g004
Figure 5. Phage–antibiotic interactions on strains K. pneumoniae ATCC 13883 (top) and K. oxytoca 121a (bottom). Synergistic relationships between phage M198 and antibiotics are shown in green; potentiation between phage M198 and chloramphenicol is presented in yellow, and indifference between phage M198 and antibiotics is shown in blue. FICi values for each combination are presented in Table S2.
Figure 5. Phage–antibiotic interactions on strains K. pneumoniae ATCC 13883 (top) and K. oxytoca 121a (bottom). Synergistic relationships between phage M198 and antibiotics are shown in green; potentiation between phage M198 and chloramphenicol is presented in yellow, and indifference between phage M198 and antibiotics is shown in blue. FICi values for each combination are presented in Table S2.
Viruses 17 00115 g005
Table 1. List of commercial antibiotics used in combination with phage M198. Mode of action and highest applied concentration are indicated for each antibiotic.
Table 1. List of commercial antibiotics used in combination with phage M198. Mode of action and highest applied concentration are indicated for each antibiotic.
AntibioticMode of Action (Target)Highest Concentration Used
CefepimeCell wall synthesis inhibition (penicillin-binding proteins)1 μg/mL
ChloramphenicolProtein synthesis inhibition (50 S ribosomal subunit)32 μg/mL
CiprofloxacinDNA synthesis inhibition (gyrase & Topoisomerase IV)1 μg/mL
ColistinCell wall disruption (cell membrane)16 μg/mL
GentamicinProtein synthesis inhibition (30 S ribosomal subunit)16 μg/mL
TrimethoprimFolate synthesis inhibition (dihydrofolate reductase)16 μg/mL
Table 2. Phage EOP on sensitive strains. EOP value is indicated next to each tested strain. EOP of 0.5 or higher corresponds to high efficiency, EOP value between 0.1 and 0.5 corresponds to medium efficiency, and values lower than 0.1 indicate low efficiency of plating.
Table 2. Phage EOP on sensitive strains. EOP value is indicated next to each tested strain. EOP of 0.5 or higher corresponds to high efficiency, EOP value between 0.1 and 0.5 corresponds to medium efficiency, and values lower than 0.1 indicate low efficiency of plating.
StrainEOP Value
original host1
K. pneumoniae 51
K. pneumoniae 194
K. pneumoniae 270.2
K. pneumoniae 331
K. pneumoniae 414
K. pneumoniae 451
K. pneumoniae 520.2
K. pneumoniae 531
K. pneumoniae 642
K. pneumoniae 673
K. pneumoniae 683
K. pneumoniae 692
K. pneumoniae 843
K. pneumoniae 851
K. pneumoniae 901
K. pneumoniae 912
K. pneumoniae 921
K. pneumoniae 933
K. pneumoniae 940.5
K. pneumoniae ATCC 138830.5
K. oxytoca ATCC 131821
K. oxytoca 121a0.5
Table 3. Minimal inhibitory concentrations (MICs) of phage M198 and of screened antibiotics on strains K. pneumoniae ATCC 13883 and K. oxytoca 121a. For antibiotics, MIC is presented in μg/mL values, while for phage M198, it represents a multiplicity of infection (MOI).
Table 3. Minimal inhibitory concentrations (MICs) of phage M198 and of screened antibiotics on strains K. pneumoniae ATCC 13883 and K. oxytoca 121a. For antibiotics, MIC is presented in μg/mL values, while for phage M198, it represents a multiplicity of infection (MOI).
Antibacterial AgentK. pneumoniae ATCC 13883K. oxytoca 121a
Cefepime0.125 μg/mL0.0625 μg/mL
Chloramphenicol2 μg/mL1–2 μg/mL
Ciprofloxacin0.0625 μg/mL0.03125 μg/mL
Colistin0.25 μg/mL0.25 μg/mL
Gentamicin4 μg/mL4 μg/mL
Trimethoprim1 μg/mL1 μg/mL
Phage M1980.040.004–0.04
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Leshkasheli, L.; Kusradze, I.; Bolkvadze, D.; Askilashvili, L.; Chichashvili, M.; Tsertsvadze, G.; Zaldastanishvili, E. Klebsiella pneumoniae Phage M198 and Its Therapeutic Potential. Viruses 2025, 17, 115. https://doi.org/10.3390/v17010115

AMA Style

Leshkasheli L, Kusradze I, Bolkvadze D, Askilashvili L, Chichashvili M, Tsertsvadze G, Zaldastanishvili E. Klebsiella pneumoniae Phage M198 and Its Therapeutic Potential. Viruses. 2025; 17(1):115. https://doi.org/10.3390/v17010115

Chicago/Turabian Style

Leshkasheli, Lika, Ia Kusradze, Darejan Bolkvadze, Lia Askilashvili, Maria Chichashvili, Giorgi Tsertsvadze, and Elisabed Zaldastanishvili. 2025. "Klebsiella pneumoniae Phage M198 and Its Therapeutic Potential" Viruses 17, no. 1: 115. https://doi.org/10.3390/v17010115

APA Style

Leshkasheli, L., Kusradze, I., Bolkvadze, D., Askilashvili, L., Chichashvili, M., Tsertsvadze, G., & Zaldastanishvili, E. (2025). Klebsiella pneumoniae Phage M198 and Its Therapeutic Potential. Viruses, 17(1), 115. https://doi.org/10.3390/v17010115

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop