Yuping Song1
Jianfeng Wang
Xuming Deng
Dan Li- 1Department of Respiratory Medicine, Center for Pathogen Biology and Infectious Diseases, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, The First Hospital of Jilin University, Changchun, Jilin, China
- 2State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, and College of Veterinary Medicine, Jilin University, Changchun, China
- 3Key Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in the Western China, School of Life Sciences, Ningxia University, Yinchuan, China
The successful evolution of KPC-2 in bacteria has limited the clinical practice of carbapenems. This dilemma deteriorated the prognosis of associated infections and hence attracted increasing attention from researchers to explore alternative therapeutic options. Here, the enzyme inhibition assay was first performed to screen for a potent KPC-2 inhibitor. The synergistic effect of the candidate with carbapenems was further confirmed by checkboard minimum inhibitory concentration (MIC) assay, time-killing assay, disk diffusion method, and live/dead bacteria staining analysis. The mechanisms by which the candidate acts were subsequently explored through molecular dynamics (MD) simulations, etc. Our study found that Ginkgolic Acid (C13:0) (GA) exhibited effective KPC-2 inhibitory activity in both laboratory strain and clinical strain containing KPC-2. It could potentiate the killing effect of carbapenems on KPC-2-positive Klebsiella pnenmoniae(K. pnenmoniae). Further explorations revealed that GA could competitively bind to the active pocket of KPC-2 with meropenem (MEM) via residues Trp104, Gly235, and Leu166. The secondary structure and functional groups of KPC-2 were subsequently altered, which may be the main mechanism by which GA exerted its KPC-2 inhibitory effect. In addition, GA was also found to synergize with MEM to disrupt membrane integrity and increase membrane permeability, which may be another mechanism by which GA reinforced the bactericidal ability of carbapenems. Our study indicated that GA was a significant KPC-2 inhibitor that could prolong the lifespan of carbapenems and improve the prognosis of patients.
1 Introduction
Bacterial resistance, a phenomenon mainly attributed to the misuse and abuse of antibiotics, has affected approximately 22 countries around the world, triggering a widespread antibiotic resistance crisis (Cosgrove, 2006; Maragakis et al., 2008; de Kraker et al., 2011; Dos Santos et al., 2021). As the last resort against multidrug-resistant bacterial infections, the clinical efficacy of carbapenems has been greatly reduced with the emergence of carbapenem-resistant strains. Among these, carbapenem-resistant Klebsiella pneumoniae (CRKP) has attracted extreme attention by virtue of its high mortality rate and is already classified as a member of “ESKAPE” pathogen group (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae (K. pneumoniae), Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp; Xu et al., 2017). A continuous increase in the resistance rate of K. pneumoniae to carbapenems has been reported (Wu et al., 2021), posing a serious threat to human life and property. To address this dilemma, the research of new antibiotics or the seek for antibiotic synergists is imperative.
Carbapenem resistance can be caused by a variety of mechanisms, of which carbapenemase production is the most common in CRKP. Klebsiella pneumoniae carbapenemase-2 (KPC-2), a class A serine β-lactamase, can hydrolyze all FDA-approved β-lactam antibiotics and β-lactamase inhibitors (Munoz-Price et al., 2013; Pemberton et al., 2017), and is widely disseminated at an alarming rate in China (Zhang et al., 2017). In this critical situation, the pace of new antibiotic development lags far behind the emergence of antibiotic-resistant strains, forced by the enormous costs in time and money. However, restoring the susceptibility of KPC-2-positive K. pneumoniae to carbapenems appears to be a less costly and feasible strategy.
Accumulating evidence has demonstrated that enzyme inhibitors exhibited excellent efficacy on antibiotic sensitization without significant adverse effects (Xu et al., 2022; Zhou et al., 2022). Given the above theoretical basis, we performed a KPC-2-targeted biochemical screen to reverse antibiotic resistance. Herein, we discovered that Ginkgolic Acid (C13:0) (GA), a natural compound derived from Ginkgo biloba, synergized with carbapenems against KPC-2 positive bacteria as a KPC-2 inhibitor. Inspiringly, GA could simultaneously potentiate the interference of carbapenems on bacterial membranes thereby further reinforcing the bactericidal efficacy. Our findings provided a feasible and promising therapeutic strategy to combat intractable carbapenem-resistant K. pneumoniae infection.
2 Materials and methods
2.1 Bacterial strains and reagents
E. coli BL21(DE3) (pET28a-KPC-2) and E. coli BL21(DE3)-pET28a were constructed by our laboratory. K. pneumoniae ST-C1 and K. pneumoniae 43816 is a KPC-2 negative standard strain purchased from the American Type Culture Collection (ATCC). K. pneumoniae ST-C1 is a KPC-2-containing clinical strain. All the strains of K. pneumoniae were grown in LB broth (BIOFOUNT). The GA (dissolved in dimethyl sulfoxide) was bought from Chengdu Deruike Biotechnology Co., Ltd. Meropenem (MEM), imipenem, and kanamycin used in this study were purchased from the China Institute of Veterinary Drug Control. Nitrocefin (CAS: 41906-86-9) was obtained from TOKU-E Company, Bellingham, WA, United States.
2.2 Expression and purification of KPC-2 and its mutants
The expression vectors for the KPC-2 mutants were generated using a QuikChange site-directed mutagenesis kit (Stratagene, La Jolla, CA, United States) based on E. coli BL21(DE3) (pET28a) (KPC-2) constructed in our previous study (Zhou et al., 2020b), during which the gene-specific primers detailed in Supplementary Table 1 played an integral role. The purification of KPC-2 and its mutants was conducted successively after verifying the sequences of mutant strains by nucleotide sequencing.
2.3 Enzyme inhibition assay
The inhibitory effect of compounds on KPC-2 activity was determined by detecting the hydrolysis ability of β-lactamase against nitrocefin substrate as described previously (Zhou et al., 2020a). Filtered phosphate-buffered saline (PBS) was mixed with purified KPC-2 protein or bacterial supernatants containing KPC-2, and meanwhile different concentrations of compounds were added at a final concentration of 0–64 μg/mL. After incubation at 37°C for 15 min, diluted nitrocefin was added for further incubation. 25 min later, the change of solution in color and absorbance at 492 nm was observed at room temperature. The IC50 (half maximal inhibitory concentration) of the compound was calculated using GraphPad prism software.
2.4 Bacterial growth curve analysis
The growth curve analysis was performed to clarify the effect of GA on the proliferation of K. pneumoniae (Zhou et al., 2018). Briefly, bacteria cultured overnight were diluted into fresh LB medium at a ratio of 1:100. Then, a total of 150 mL of K. pneumoniae (OD600 nm was about 0.1) in LB were dispensed into five conical flasks with simultaneous addition of different concentrations of GA. The cultures were continued to incubate at a shaking incubator (180 r/min, 37°C) and the OD600 nm of each conical flask was monitored each hour with a spectrophotometer until reached the plateau phase. The above data were used to plot the growth curve reflecting the interference of GA on the proliferation situation of K. pneumoniae.
2.5 Time-killing assay
The time-killing assay reflecting the synergistic killing activity of MEM with GA was performed according to the following method (Zhou et al., 2020b). Overnight cultures were diluted and distributed into sterile 96-well microtiter plates at the final concentration of 5 × 105 CFUs/well. Different administrations including GA only, MEM only, combination treatment and blank control were given separately, after which the plate was placed in 37°C incubator for static incubation. At different time points, surviving bacteria were separately coated on LB agar plates for colony counting and spotted on plates for image photography after serial dilutions. In addition, surviving bacteria under different treatments could also be quantified by spectrophotometer.
2.6 Checkerboard minimum inhibitory concentration (MIC) determination
The synergistic effect of GA and carbapenems against KPC-2 positive and KPC-2 negative strains was determined using a slightly optimized broth micro-dilution method (Wiegand et al., 2008). Concisely, antibiotics and compounds were serially diluted twofold respectively, and subsequently dispensed into sterile 96-well microtiter plates. Overnight bacteria cultures were diluted and inoculated into plates at the final concentration of 5 × 105 CFUs/well. After 16–18 h of static incubation at 37°C, the turbidity of each well was observed to determine the MICs of antibiotics and compounds for bacteria. The fractional inhibitory concentration (FIC) index values representing the synergistic bactericidal effect of carbapenems and compounds were calculated by the following formula (FIC index ≤ 0.5 implies synergy):
2.7 Disk diffusion method
The disk diffusion method was carried out to further determine the synergy of GA and MEM based on previously described (Escamilla-García et al., 2017). Overnight bacteria were diluted and further cultured until reached the exponential growth phase. The tested bacterial suspensions were spread evenly on LB agar plates containing different concentrations of GA. Then the MEM disks (10 μg) were placed in the center of each plate and subsequently incubated at 37°C for 16–18 h. The inhibitory zone diameters were photographed and recorded for data analysis.
2.8 In vitro live/dead bacteria staining assay
The combined bactericidal effect of GA and MEM was visually evaluated by live/dead bacterial staining assay. Overnight bacterial cultures were diluted in fresh LB broth and then cocultured with GA only [32 μg/mL for K. pneumoniae ST-C1 and 8 μg/mL for E. coli BL21(DE3) (pET28a-KPC-2)], MEM only [4 μg/mL for K. pneumoniae ST-C1 and 1/4 μg/mL for E. coli BL21(DE3) (pET28a-KPC-2)] and their combination for 6 h at 37°C. The bacteria were then collected, washed twice and resuspended in sterile PBS, and OD600 nm was adjusted to 0.5. The live or dead status of the tested bacteria of each group was observed with an inverted fluorescence microscope (Nikon Eclipse, Japan) after adding SYTO 9 and propidium iodide (PI) dyes of the LIVE/ DEAD BacLight Bacterial Viability Kit (Invitrogen) under the guidance of the manufacturer’s instructions.
2.9 Membrane permeability detection
Alterations in PI and N-Phenyl-1-naphthylamine (NPN) uptake are often used to assess the permeability of inner and outer membranes of bacteria. The bacteria were centrifuged and normalized to the same absorbance value (OD600 nm = 0.5) after treatment with the different drugs (GA only, MEM only, and their combination) for 6 h. PI and NPN were separately added to the suspension at final concentrations of 10 nM and 10 μM and further incubated at 37°C for 90 min. The spectrofluorimeter was used to detect the fluorescence intensity of PI (535 excitation wavelength/615 emission wavelength) and NPN (350 excitation wavelength/420 emission wavelength).
2.10 Western blot analysis
Overnight cultures of K. pneumoniae were diluted and incubated with GA (0, 8, 32, 128 μg/mL) for 4 h or 8 h at 37°C. Then the cultures were collected, standardized and prepared as samples for western blot assay after boiled at 100°C for 10 min. After separated by SDS-PAGE (12% gels), electrophoresed proteins were transferred onto a polyvinylidene difluoride (PVDF) membrane. The membranes were then blocked with 5% skim milk for 2 h at room temperature, followed by successive incubation with primary antibodies against KPC-2 (prepared from mouse) and goat anti-mouse IgG secondary antibody (HRP). ICDH was used as an internal reference. Finally, the targeted protein was visualized with an enhanced chemiluminescence substrate.
2.11 Circular dichroism spectra detection
Circular dichroism (CD) spectra was measured using a CD spectrophotometer (MOS-500; Bio-Logic) with the wavelength ranging from 190 to 250 nm at ambient temperature. The recorded spectra were subsequently analyzed with BeStSel web server to compare the alterations in the secondary structure of KPC-2 proteins with or without GA treatment.
2.12 Fourier transform infrared spectroscopy analysis
Fourier transform infrared spectroscopy (FTIR) spectrometer was used to record the FTIR spectra of KPC-2 protein treated with or without 32 μg/mL of GA over a range of 4,000–500 cm−1 with a resolution of 2 cm−1. The obtained data was analyzed and graphed with Origin 2023, revealing the effect of GA treatment on the functional groups of the proteins.
2.13 Bacterial nucleic acid and protein leakage
The nucleic acid and protein leakage detection was measured following a previously described method with modifications (Yao et al., 2014). Bacteria in logarithmic phase were centrifuged at low speed (≤5,000 r/min) and then resuspended in PBS (pH 7.2). After adjusting the OD600 nm to 0.5, bacterial suspensions were partitioned and different concentrations of GA were added. Subsequently, a 4-h culture was conducted at a shaking incubator (180 r/min, 37°C). At different time points, 1 mL of bacterial culture from each group was collected and the protein and nucleic acid concentrations in the supernatant were detected using a DNA/protein analyzer.
2.14 Molecular docking and molecular dynamics simulation
Molecular docking was performed with autodock vina1.1.2 software to simulate the binding modes of the KPC-2-GA complex and KPC-2-MEM complex (Tsang et al., 2022), before which the three-dimensional (3-D) structures of GA, MEM, and KPC-2 were downloaded from RCSB and pubchem, respectively. The amber18 software was then used to conduct MD simulations of the KPC-2-GA complex and KPC-2-MEM complex (Arodola et al., 2020), during which ff14SB forcefield parameter was used for proteins and gaff generic forcefield parameter was used for compound and antibiotics. The essential protein residues for ligand-protein binding were specified by decomposing the binding free energy of the complexes with the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) approach (Rajeshkumar et al., 2022).
2.15 Statistical analysis
All the assays were conducted at least three biological replicates and the data were expressed as the mean ± standard deviation. Statistical analysis was calculated by Student’s t test for two groups and one-way analysis of variance (ANOVA) for multiple groups in GraphPad Prism 9.5.1. A value of p < 0.05 was regarded as statistically significant.
3 Results
3.1 GA attenuated the enzymatic activity of KPC-2 without affecting bacterial viability and KPC-2 expression
Enzyme inhibition assays were used to assess the alterations in KPC-2 activity induced by different compounds. GA (Figure 1A) was ultimately identified as a potent KPC-2 inhibitor, manifested by a dose-dependent reduction in the activity of the purified protein (Figures 1B,D) and protein secreted into culture medium (Figures 1C,E). The IC50 of GA for KPC-2 inhibition were 4.748 μg/mL and 2.096 μg/mL, respectively.
Figure 1. GA inhibited the activity but not the expression of KPC-2. (A) Chemical structure of GA. The inhibitory effect of GA on purified KPC-2 protein (B,D) and KPC-2 in culture supernatants (C,E) was manifested by a color change and enzyme activity quantification. Effects of multiple concentrations of GA on KPC-2 expression in E. coli BL21(DE3) (pET28a-KPC-2) (F,G) and Klebsiella pneumoniae ST-C1 (I,J). The growth curves of E. coli BL21(DE3) (pET28a-KPC-2) (H) and K. pneumoniae ST-C1 (K) co-cultured with several concentrations of GA (0/4/16/64/256 μg/mL).
We next explored the effect of GA on the expression of KPC-2 protein. As shown in Figures 1F,G,I,J, GA had no disturbing effect on KPC-2 production in E. coli BL21(DE3) (pET28a-KPC-2) and K. pneumoniae ST-C1. Moreover, we demonstrated that different concentrations of GA (0–128 μg/mL) had no visible inhibitory efficacy on the growth of KPC-2-positive bacteria (Figures 1H,K). Taken together, the above results suggested that GA at non-bactericidal concentrations could significantly inhibit the activity of KPC-2 without affecting KPC-2 expression.
3.2 GA re-sensitized KPC-2 positive Klebsiella pneumoniae to carbapenems
The activity inhibition of GA on KPC-2 prompted us to verify the synergistic effect between GA and carbapenems. The checkboard MIC assays showed that the MIC of MEM against E. coli BL21(DE3) (pET28a-KPC-2) and K. pneumoniae ST-C1 could be down-regulated ≥8-fold by the combination of GA (FIC index < 0.2; Figures 2A,B). GA also exhibited significant synergistic effects with imipenem (Supplementary Figures S1A,B). However, in carbapenem-sensitive strains without KPC-2, this synergistic effect could not be observed (Supplementary Figures S1C–F). The synergistic bactericidal activity of GA with MEM was further demonstrated using the time-killing test. Remarkably, combination therapy killed more of the tested bacteria within 24 h in both laboratory strain E. coli BL21(DE3) (pET28a-KPC-2; Figures 2C,E,G) and clinical strain K. pneumoniae ST-C1 (Figures 2D,F,H).
Figure 2. GA synergised with MEM to kill KPC-2 positive bacteria. (A,B) Microdilution checkerboard analysis was implemented to assess the synergistic effect of MEM with GA against E. coli BL21(DE3) (pET28a-KPC-2) and Klebsiella pneumoniae ST-C1. Time-killing curves for E. coli BL21(DE3) (pET28a-KPC-2) (C) and K. pneumoniae ST-C1 (D) when treated with GA, MEM, combination and medium only. OD600 nm values reflecting the survival E. coli BL21(DE3) (pET28a-KPC-2) (E) and K. pneumoniae ST-C1 (F) in the combined treatment of GA and MEM. The spot assays of E. coli BL21(DE3) (pET28a-KPC-2) (G) and K. pneumoniae ST-C1 (H) on LB agar plates were performed after treated with different drugs (GA, MEM, combination and medium only) for 0 h and 24 h. After serial dilutions, the cultures were dropped onto plates and incubated overnight at 37°C.
The live/dead bacteria staining assay and combined disk test were then successively used to visually compare the bactericidal ability of monotherapy with that of combination therapy. Figures 3A,B showed that GA combined with MEM extremely exacerbated bacterial death, as evidenced by a higher ratio of dead (red) to alive bacteria (green). Consistent with these results, the diameters of the inhibitory zones of the tested bacteria surrounding the MEM disks increased in a dose-dependent manner with GA concentration (Figures 3C–F). Overall, these findings illustrated that GA and MEM had a favorable synergistic effect against KPC-2-positive bacteria.
Figure 3. GA restored the bactericidal activity of MEM against KPC-2 positive bacteria. The live/dead bacteria staining for E. coli BL21(DE3) (pET28a-KPC-2) (A) and Klebsiella pneumoniae ST-C1 (B) after treatment with GA, MEM or GA plus MEM (scale bar = 200 μm). The zone diameters surrounding MEM disks were expanded by GA in a dose-dependent manner on LB agar plates coated with E. coli BL21(DE3) (pET28a-KPC-2) (C,E) and K. pneumoniae ST-C1 (D,F).
3.3 GA altered the secondary structure and functional groups of KPC-2 through direct engagement
To initially characterize the molecular basis for the inhibition of KPC-2 activity by GA, CD spectra was first performed to compare the differences in the secondary structure of KPC-2 with or without GA treatment. A visible conformational change was observed in GA-induced KPC-2, characterized by decreased a-helix1, a-helix2, and elevated anti-2 conformation (Figures 4A,B). FTIR also revealed that GA could alter the composition and ratio of the functional groups of KPC-2, further supporting the above results (Figure 4C).
Figure 4. Identification of the mechanism by which GA inhibited KPC-2 activity. (A,B) Secondary structure changes of KPC-2 in the presence or absence of GA (32 μg/mL) were detected by CD spectroscopy. (C) GA (32 μg/mL)-induced alteration of the KPC-2 functional group was confirmed by FTIR assay. The 3-D binding modes of MEM (D) and GA (E) to KPC-2 were predicted by MD simulations. (F) RMSF image indicating the fluctuation of amino acid residues of KPC-2 throughout the entire kinetic process. RMSD (G) and Rg (H) detection of the MEM-KPC-2 complex and GA-KPC-2 complex throughout the simulation. Hydrogen bond numbers of MEM (I), GA (J) conjugated to KPC-2 during the MD simulation.
The specific binding modes between KPC-2 with GA or MEM were subsequently explored by a computational biological method called molecular docking and MD simulation. During the entire kinetic process, the amino acid residues of the KPC-2 protein do not fluctuate dramatically (Figure 4F), and both GA and MEM bound stably to the KPC-2 protein without causing sustained changes in protein conformation and compactness (Figures 4G,H). The 3-D binding model showed that both GA and MEM bound within the catalytic pocket of KPC-2 and the conformational superimpositions of the two small molecules were highly overlapping (Figures 4D,E). Although the binding energy of MEM to KPC-2 (−8 kcal/moL) was slightly higher than that of GA (−6.5 kcal/moL), the numerous common binding sites and the similar number of hydrogen bonds (Figures 4I,J) still indicated that GA was strongly competitive for MEM binding to KPC-2.
The total binding free energies and the detailed energy contributions for the KPC-2-GA and KPC-2-MEM complexes were calculated using the MM-PBSA approach. The results of energy decomposition revealed that residues Trp104, and Ser69 had powerful contributions to the KPC-2-MEM complex (ΔEtotal of ≤ −1 kcal/mol; Figure 5A), while residues Trp104, Gly235, and Leu166 formed strong interactions with GA (ΔEtotal of ≤ −0.8 kcal/mol; Figure 5B). To verify the reliability of the simulated results, we performed targeted mutagenesis of the above amino acid sites contributed crucially, after which we repeated the enzyme inhibition assay and the MIC test in samples containing mutated KPC-2. Obviously, GA lost the significant enzyme activity inhibitory effect against mutant KPC-2 (Figure 5C). A similar reduction in the synergistic ability of GA with MEM against strains containing mutated KPC-2 was also observed (Figure 5D). In brief, our results illustrated that GA competitively bound to KPC-2, altered its secondary structure and functional groups, ultimately realizing its enzyme activity inhibitory efficacy.
Figure 5. Confirmation of the binding sites of KPC-2 with MEM and GA. Decomposition of the binding energy on a per-residue basis in the KPC-2-MEM (A) and KPC-2-GA complex (B). (C) Influence of GA on the enzymatic activity of KPC-2 and its mutants. (D) FIC index values reflecting the synergistic effect of GA and MEM against each of the variants.
3.4 GA potentiated the disruptive effect of carbapenems on bacterial membranes
Considering that targeting membranes is the main mechanism by which carbapenems function, we speculated whether GA alone or in concert with MEM could aggravate membrane damage. We first explored the capacity of GA on membrane damage by measuring GA-induced nucleic acid and protein leakage. The results showed a dose- and time-dependent increase in the levels of nucleic acids and proteins released into the supernatant by the strains co-cultured with GA (Figures 6A–D).
Figure 6. GA strengthened the disrupting effect of MEM on bacterial membranes. GA induced the protein and nucleic acid leakage of E. coli BL21(DE3) (pET28a-KPC-2) (A,C) and Klebsiella pneumoniae ST-C1 (B,D) in a dose-dependent and time-dependent manner. Increased permeability of the inner membrane of E. coli BL21(DE3) (pET28a-KPC-2) (E) and K. pneumoniae ST-C1 (F) by a combination treatment with GA. PI was used as the probe at a final concentration of 10 nM. The outer membrane permeability of E. coli BL21(DE3) (pET28a-KPC-2) (G) and K. pneumoniae ST-C1 (H) could be enhanced when synergized with GA compared to MEM alone.
The fluorescent probes PI and NPN were subsequently used to assess the synergistic effect of GA with MEM in disrupting bacterial membranes. As shown in Figures 6E–H, co-incubation with GA significantly increased the ability of PI and NPN to enter the bacteria compared to the control group, indicating the potent effect of GA in enhancing the permeability of both the inner and outer membranes, especially the inner membrane. Hence, we could infer that disturbing membrane integrity may be another pathway for GA to synergize with carbapenems.
4 Discussion
The emergence and prevalence of CRKP coupled with the lag in antibiotic development have driven the ongoing search for strategies to enhance the efficacy of existing carbapenems. Among these strategies, the identification of potent inhibitors targeting KPC-2 thereby restoring the bactericidal capacity of carbapenems has become a prominent area of research (Zhou et al., 2020b). We were pleased to uncover that GA could inhibit the enzymatic activity of KPC-2 by directly binding and then altering its secondary structure and functional groups. Concurrently, GA could also synergize with carbapenems to disrupt bacterial membranes, as evidenced by elevated nucleic acid and protein leakage and increased membrane permeability. Of interest, the synergistic effect of GA with carbapenems is indeed present in both laboratory strains and clinical strains, suggesting the potential of GA for clinical therapeutic.
Ginkgo biloba (Ginkgo), which is known as a “living fossil,” has been documented as a medicinal plant 2,800 years ago (Jacobs and Browner, 2000). Its extracts have been reported to possess multiple pharmacological and clinical efficacy (Maitra et al., 1995; Zhang et al., 2008; Mashayekh et al., 2011; Hamdoun and Efferth, 2017; Yang et al., 2017; Zheng et al., 2021; Kim et al., 2022) and are the most widely used herbal medicines and dietary supplements worldwide (Ngan et al., 2012). Currently, research on GA, an extract of Ginkgo biloba, is focused mainly on cancer treatment as well as diabetes control. In our study, we proposed that GA possessed a significant effect against KPC-2-positive K. pneumoniae. Concerning in vivo applications, we already predicted the ADMET profile of GA using SwissADEM and ADMETlab servers. The results indicated that GA is easily absorbed through the gastrointestinal tract and has a well bioavailability efficiency (Table 1). It is noteworthy that GA was not predicted to have significant cellular and in vivo toxicity. In the near future, the dosing regimen and exact in vivo efficacy of GA need to be further explored to optimize its effects.
Table 1. ADMET profile of ginkgolic acid predicted by SwissADEM and AD METlab servers.
In summary, our results demonstrated that GA could strengthen the bactericidal effect of carbapenems against CRKP by simultaneously inhibiting KPC-2 activity and damaging bacterial membranes. The combination of carbapenems and GA may be a promising alternative strategy against KPC-2-containing K. pneumoniae. The next step in our study will be to examine the efficacy of GA in combination with carbapenems in the animal model of KPC-2-positive K. pneumoniae infection.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.
Author contributions
YS: Conceptualization, Formal analysis, Project administration, Writing – review & editing, Data curation, Visualization, Writing – original draft. YZo: Writing – original draft, Validation. LX: Software, Writing – original draft. JW: Investigation, Writing – original draft. XD: Funding acquisition, Writing – original draft. YZh: Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing. DL: Conceptualization, Supervision, Formal analysis, Project administration, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Department of Finance of Jilin Province, grant number JLWSRCZX2023-55, the Department of Science and Technology of Jilin Province, grant number 20220303001SF and the National Natural Science Foundation of China, grant numbers 22A20523 and 32202856.
Conflict of interest
The 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.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2024.1426603/full#supplementary-material
References
Arodola, O. A., Kanchi, S., Hloma, P., Bisetty, K., Asiri, A. M., and Inamuddin, P. (2020). An in-silico layer-by-layer adsorption study of the interaction between Rebaudioside a and the T1R2 human sweet taste receptor: modelling and biosensing perspectives. Sci. Rep. 10:18391. doi: 10.1038/s41598-020-75123-4
Cosgrove, S. E. (2006). The relationship between antimicrobial resistance and patient outcomes: mortality, length of hospital stay, and health care costs. Clin. Infect. Dis. 42, S82–S89. doi: 10.1086/499406
de Kraker, M. E. A., Davey, P. G., and Grundmann, H.on behalf of the BURDEN study group (2011). Mortality and hospital stay associated with resistant Staphylococcus aureus and Escherichia coli bacteremia: estimating the burden of antibiotic resistance in Europe. PLoS Med. 8:e1001104. doi: 10.1371/journal.pmed.1001104
Dos Santos, A., Da Silva, M. F., De Araújo-Júnior, J. X., and Da Silva-Júnior, E. F. (2021). Revealing insights into natural products against mcr-1-producing bacteria. Curr. Drug Targets 22, 1964–1985. doi: 10.2174/1389450122666210415102413
Escamilla-García, E., Alcázar-Pizaña, A. G., Segoviano-Ramírez, J. C., Del Angel-Mosqueda, C., López-Lozano, A. P., Cárdenas-Estrada, E., et al. (2017). Antimicrobial activity of a cationic guanidine compound against two pathogenic Oral bacteria. Int J Microbiol 2017:5924717. doi: 10.1155/2017/5924717
Hamdoun, S., and Efferth, T. (2017). Ginkgolic acids inhibit migration in breast cancer cells by inhibition of nemo sumoylation and Nf-κB activity. Oncotarget 8, 35103–35115. doi: 10.18632/oncotarget.16626
Jacobs, B. P., and Browner, W. S. (2000). Ginkgo biloba: a living fossil. Am. J. Med. 108, 341–342. doi: 10.1016/S0002-9343(00)00290-4
Kim, J., Son, J., Ahn, D., Nam, G., Zhao, X., Park, H., et al. (2022). Structure-activity relationship of synthetic Ginkgolic acid Analogs for treating type 2 diabetes by Ptpn9 inhibition. Int. J. Mol. Sci. 23:168. doi: 10.3390/ijms232416168
Maitra, I., Marcocci, L., Droy-Lefaix, M. T., and Packer, L. (1995). Peroxyl radical scavenging activity of Ginkgo biloba extract Egb 761. Biochem. Pharmacol. 49, 1649–1655. doi: 10.1016/0006-2952(95)00089-I
Maragakis, L. L., Perencevich, E. N., and Cosgrove, S. E. (2008). Clinical and economic burden of antimicrobial resistance. Expert Rev. Anti Infect. Ther. 6, 751–763. doi: 10.1586/14787210.6.5.751
Mashayekh, A., Pham, D. L., Yousem, D. M., Dizon, M., Barker, P. B., and Lin, D. D. (2011). Effects of Ginkgo biloba on cerebral blood flow assessed by quantitative Mr perfusion imaging: a pilot study. Neuroradiology 53, 185–191. doi: 10.1007/s00234-010-0790-6
Munoz-Price, L. S., Poirel, L., Bonomo, R. A., Schwaber, M. J., Daikos, G. L., Cormican, M., et al. (2013). Clinical epidemiology of the global expansion of Klebsiella pneumoniae carbapenemases. Lancet Infect. Dis. 13, 785–796. doi: 10.1016/S1473-3099(13)70190-7
Ngan, N. T., Quang, T. H., Tai, B. H., Song, S. B., Lee, D., and Kim, Y. H. (2012). Anti-inflammatory and Ppar transactivational effects of components from the stem bark of Ginkgo biloba. J. Agric. Food Chem. 60, 2815–2824. doi: 10.1021/jf204768d
Pemberton, O. A., Zhang, X., and Chen, Y. (2017). Molecular basis of substrate recognition and product release by the Klebsiella pneumoniae Carbapenemase (Kpc-2). J. Med. Chem. 60, 3525–3530. doi: 10.1021/acs.jmedchem.7b00158
Rajeshkumar, R. R., Kumar, B. K., Parasuraman, P., Panneerselvam, T., Sundar, K., Ammunje, D. N., et al. (2022). Graph theoretical network analysis, in silico exploration, and validation of bioactive compounds from Cynodon dactylon as potential neuroprotective agents against α-synuclein. Bioimpacts 12, 487–499. doi: 10.34172/bi.2022.24113
Tsang, N. Y., Li, W. F., Varhegyi, E., Rong, L., and Zhang, H. J. (2022). Ebola entry inhibitors discovered from Maesa perlarius. Int. J. Mol. Sci. 23:620. doi: 10.3390/ijms23052620
Wiegand, I., Hilpert, K., and Hancock, R. E. (2008). Agar and broth dilution methods to determine the minimal inhibitory concentration (mic) of antimicrobial substances. Nat. Protoc. 3, 163–175. doi: 10.1038/nprot.2007.521
Wu, S., Yang, Y., Guo, Y., Yin, D., Zheng, Y., Han, R., et al. (2021). Comparative activities of sitafloxacin against recent clinical isolates in hospitals across China. Eur. J. Clin. Microbiol. Infect. Dis. 40, 2271–2283. doi: 10.1007/s10096-021-04278-3
Xu, L., Sun, X., and Ma, X. (2017). Systematic review and meta-analysis of mortality of patients infected with carbapenem-resistant Klebsiella pneumoniae. Ann. Clin. Microbiol. Antimicrob. 16:18. doi: 10.1186/s12941-017-0191-3
Xu, L., Zhou, Y., Niu, S., Liu, Z., Zou, Y., Yang, Y., et al. (2022). A novel inhibitor of monooxygenase reversed the activity of tetracyclines against tet(X3)/tet(X4)-positive bacteria. EBioMedicine 78:103943. doi: 10.1016/j.ebiom.2022.103943
Yang, Y., Li, Y., Wang, J., Sun, K., Tao, W., Wang, Z., et al. (2017). Systematic investigation of Ginkgo Biloba leaves for treating cardio-cerebrovascular diseases in an animal model. ACS Chem. Biol. 12, 1363–1372. doi: 10.1021/acschembio.6b00762
Yao, C., Li, X., Bi, W., and Jiang, C. (2014). Relationship between membrane damage, leakage of intracellular compounds, and inactivation of Escherichia coli treated by pressurized Co2. J. Basic Microbiol. 54, 858–865. doi: 10.1002/jobm.201200640
Zhang, Y., Chen, A. Y., Li, M., Chen, C., and Yao, Q. (2008). Ginkgo biloba extract kaempferol inhibits cell proliferation and induces apoptosis in pancreatic cancer cells. J. Surg. Res. 148, 17–23. doi: 10.1016/j.jss.2008.02.036
Zhang, R., Liu, L., Zhou, H., Chan, E. W., Li, J., Fang, Y., et al. (2017). Nationwide surveillance of clinical Carbapenem-resistant Enterobacteriaceae (Cre) strains in China. EBioMedicine 19, 98–106. doi: 10.1016/j.ebiom.2017.04.032
Zheng, X., Gao, Q., Liang, S., Zhu, G., Wang, D., and Feng, Y. (2021). Cardioprotective properties of Ginkgo Biloba extract 80 via the activation of Akt/Gsk3β/β-catenin Signaling pathway. Front. Mol. Biosci. 8:771208. doi: 10.3389/fmolb.2021.771208
Zhou, Y., Guo, Y., Wen, Z., Ci, X., Xia, L., Wang, Y., et al. (2020a). Isoalantolactone enhances the antimicrobial activity of penicillin G against Staphylococcus aureus by inactivating β-lactamase during protein translation. Pathogens 9:161. doi: 10.3390/pathogens9030161
Zhou, Y., Liu, B., Chu, X., Su, J., Xu, L., Li, L., et al. (2022). Commercialized artemisinin derivatives combined with colistin protect against critical gram-negative bacterial infection. Commun Biol 5:931. doi: 10.1038/s42003-022-03898-5
Zhou, Y., Lv, X., Chen, M., Guo, Y., Ding, R., Liu, B., et al. (2020b). Characterization of Corosolic acid as a Kpc-2 inhibitor that increases the susceptibility of Kpc-2-positive bacteria to Carbapenems. Front. Pharmacol. 11:1047. doi: 10.3389/fphar.2020.01047
Keywords: KPC-2, Ginkgolic Acid (C13:0), carbapenems, Klebsiella pneumoniae, resistance
Citation: Song Y, Zou Y, Xu L, Wang J, Deng X, Zhou Y and Li D (2024) Ginkgolic Acid as a carbapenem synergist against KPC-2 positive Klebsiella pneumoniae. Front. Microbiol. 15:1426603. doi: 10.3389/fmicb.2024.1426603
Edited by:
Giancarlo Ceccarelli, Sapienza University of Rome, ItalyReviewed by:
Vladimir Vimberg, Academy of Sciences of the Czech Republic (ASCR), CzechiaC. Gopi Mohan FRSC, Amrita Vishwa Vidyapeetham University, India
Copyright © 2024 Song, Zou, Xu, Wang, Deng, Zhou and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yonglin Zhou, emhvdXlvbmdsaW4zMzNAbnh1LmVkdS5jbg==; Dan Li, bGlfZGFuQGpsdS5lZHUuY24=