Literature DB >> 34963955

Optimal Balance of Hydrophobic Content and Degree of Polymerization Results in a Potent Membrane-Targeting Antibacterial Polymer.

Anju Tyagi1, Abhijit Mishra2.   

Abstract

Globally, excessive use of antibiotics has drastically raised the resistance frequency of disease-causing microorganisms among humans, leading to a scarcity of efficient and biocompatible drugs. Antimicrobial polymers have emerged as a promising candidate to combat drug-resistance pathogens. Along with the amphiphilic balance, structural conformation and molecular weight (M n) play an indispensable role in the antimicrobial potency and cytotoxic activity of polymers. Here, we synthesize cationic and amphiphilic methacrylamide random copolymers using free-radical copolymerization. The mole fraction of the hydrophobic groups is kept constant at approximately 20%, while the molecular weight (average number of linked polymeric units) is varied and the antibacterial and cytotoxic activities are studied. The chemical composition of the copolymers is characterized by 1H NMR spectroscopy. We observe that the average number of linked units in a polymer chain (i.e., molecular weight) significantly affects the polymer activity and selectivity. The antibacterial efficacy against both of the examined bacteria, Escherichia coli and Staphylococcus aureus, increases with increasing molecular weight. The bactericidal activity of polymers is confirmed by live/dead cell viability assay. Polymers with high molecular weight display high antibacterial activity, yet are highly cytotoxic even at 1 × MIC. However, low-molecular-weight polymers are biocompatible while retaining antibacterial potency. Furthermore, no resistance acquisition is observed against the polymers in E. coli and S. aureus. A comprehensive analysis using confocal and scanning electron microscopy (SEM) techniques shows that the polymers target bacterial membranes, resulting in membrane permeabilization that leads to cell death.
© 2021 The Authors. Published by American Chemical Society.

Entities:  

Year:  2021        PMID: 34963955      PMCID: PMC8697380          DOI: 10.1021/acsomega.1c05148

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

Multi-drug-resistant microorganisms threaten our ability for effective prevention and treatment of infectious diseases.[1−3] They complicate medical procedures and surgical therapies, increasing the health-care costs.[4−7] This situation has urged researchers to explore new materials that can efficiently and selectively kill pathogens as an alternative to conventional antibiotics by which pathogens develop resistance. Antimicrobial polymers represent a class of robust, functional, and biocompatible agents derived from the principles of host defense antimicrobial peptides (AMPs) coupled with inexpensive, facile polymer chemistry that have emerged as promising candidates to combat drug-resistant microbes.[8−10] Though designing membrane-active polymer molecules that can specifically distinguish between bacterial cells and mammalian cell membranes is a challenging task due to the complex and dynamic nature of cell membranes, tailoring the polymer’s structural parameters would make it possible to reproduce the chemical functionality and physicochemical features of AMPs. The principal structural determinants regulating polymers’ antimicrobial potency and hemolytic behavior relevant to host defense peptides are the net cationic charge at physiological pH, the average number of linked units in a polymeric chain, and amphiphilic balance.[11,12] Tuning of amphiphilic balance (the average number of hydrophobic and cationic residues present in a polymer chain) is crucial in designing highly selective antimicrobial polymers.[13] Polymers with strong cationic groups, for example, bind to the anionic constituents of bacterial cell surfaces through electrostatic attraction, but are unlikely to be integrated into the membrane’s hydrophobic center, which restricts their action. Conversely, highly hydrophobic polymers make it possible to bind and penetrate the membranes of human cells without the aid of electrostatic attraction, thus making them indiscriminately harmful to both human and microbial cells. When there is an appropriate balance of hydrophobic and cationic residues in antimicrobial polymers, they may specifically kill the bacteria without affecting human cells because of the selective attachment of polymers to bacterial cells.[14−16] The mode of action and efficacy of the antimicrobial agents are regulated mainly by the physical and chemical properties of the active chemical molecule present in a macromolecular system. Thus, the structure, composition, and chemical moiety used to introduce hydrophobic and cationic units in the polymer chain dictate the biological properties of a polymer. Comprehensive optimization has been carried out in random polymers, dendrimers, and oligomer systems to achieve some selected compounds that demonstrate limited or no hemolytic activity with strong antimicrobial efficacy.[17−21] Because of the diversity of these synthetic scaffolds in the context of conformation, sequence, and molecular size, they display a favorable activity profile. The benefits of synthetic polymers as antimicrobial agents include the incorporation of diverse functional groups, large-scale synthesis, low production cost, and reduced cytotoxicity.[22,23] These antimicrobial polymers are usually short synthetic polymers with random monomer sequences that display the hallmarks of AMPs’ action, including fast bactericidal kinetics, a low chance of bacterial resistance, and a broad spectrum of activities.[23] Antimicrobial polymers interact with the bacteria and their environment in multiple ways, including interaction with hydrophilic/hydrophobic groups, suspension of the movement of substances across the membrane, or membrane permeabilization, disrupting the integrity of the plasma membrane and resulting in cell lysis.[24−26] Studies on antibacterial polymers[27−29] with cationic and hydrophobic groups show that the cationic group of the polymer interacts with the anionic bacterial surface via electrostatic interaction, and the hydrophobic group of the polymer is inserted inside the hydrophobic core of the membrane, resulting in permeabilization and, eventually, cell lysis. The mechanism by which these polymers perform their function reduces the potential for bacterial resistance development. The structural architecture and molecular weight (MW) of the polymers play a significant role in their antimicrobial efficacy, apart from the amphiphilic balance that enables the permeation of polymers into the bacterial lipid bilayers.[13,15,16] Regulating the polymers’ average molecular weight (MW) allows adjustment of the total number of bioactive molecules working collectively in each polymer unit.[22,30] Nylon-3 polymers of low MW (1–4 kDa) showed high antimicrobial activity with reduced hemolysis.[31−34] A study on random methacrylate copolymers showed that increasing the molecular weight (MW) results in decreased cell-type selectivity.[35,36] Various researchers have examined the role of polymer characteristics in their antimicrobial efficacy.[14,15,37−44] However, it is quite arduous to develop a universal correlation because antimicrobial efficiency depends on many factors, including nature and the number of functional groups present in a polymer, polymer structure/architect, composition, and the type of bacterial strain studied. Therefore, a judicious design and synthesis of well-defined polymer molecules is essential to provide a comprehensive understanding of the polymer structure–activity relationship. We previously explored the structural parameters that affect polymer activity and selectivity by systematically varying the mole fraction of hydrophilic/hydrophobic groups (amphiphilic balance) in methacrylamide-based polymers, allowing us to obtain an optimum polymer composition suitable for use as nontoxic antimicrobials.[29] The innovative feature of this research was the use of an aromatic benzyl group to incorporate hydrophobicity in the methacrylamide-based scaffold. We observed that the aromatic benzyl units influenced polymer activity and selectivity. The polymer with approximately 20% hydrophobic benzylmethacrylamide units was nonhemolytic and displayed high antibacterial efficacy against both of the examined bacteria (Escherichia coli and Staphylococcus aureus). These outcomes motivated the current research of investigating the role of polymer molecular weight (an average number of linked polymeric units), while keeping the hydrophobic groups constant (∼20%), in regulating antibacterial and cytotoxic activities. The minimum inhibitory concentration values are determined to find out the polymers’ antibacterial activity against S. aureus and E. coli using broth microdilution assay. Polymer toxicity is examined using human juvenile foreskin fibroblast cells via 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. The results show that the average number of linked units in a polymer chain i.e., average molecular weight (Mn), significantly influences antibacterial and cytotoxic activities. The antibacterial efficacy increases as the average molecular weight of the polymers increases. However, polymers having Mn ≥ 5 kDa are highly cytotoxic. Polymers with a degree of polymerization (DP) of 17 and 27 display the best combination of high antibacterial efficiency with low cytotoxicity. Both these polymers display bactericidal activity and attack the bacterial membrane, as evident by confocal and scanning electron microscopy (SEM) experiments. In addition, a serial passage study shows no observable resistance in E. coli and S. aureus.

Results and Discussion

Synthesis and Characterization

By way of free-radical copolymerization, the polymer molecular weight (i.e., the average number of linked polymeric units) was varied by keeping the hydrophobic groups constant and selecting suitable initial monomer concentrations as described in the experimental section (Figure ). Aminopropyl methacrylamide (APMA) induces hydrophilicity as it remains protonated at physiological pH, thereby supplying cationic charge, while benzylmethacrylamide (BMA) is chosen for providing hydrophobicity due to the presence of the aromatic hydrophobic benzyl group.
Figure 1

Synthesis of amphiphilic, cationic methacrylamide random polymers with varying average molecular weight, keeping the hydrophobicity constant (∼20%). AIBN: 2,2′-azobis(2-methylpropionitrile); MMP: methyl mercaptopropionate; MeOH: methanol; EtOH: ethanol.

Synthesis of amphiphilic, cationic methacrylamide random polymers with varying average molecular weight, keeping the hydrophobicity constant (∼20%). AIBN: 2,2′-azobis(2-methylpropionitrile); MMP: methyl mercaptopropionate; MeOH: methanol; EtOH: ethanol. A series of random copolymers are synthesized by controlling the molecular weight ranging from 1.9 to 11.8 kDa to determine the structure–activity relationship, keeping the hydrophobic groups constant (∼20%). The DP values are in the range of 10–66 repeat units. All of the polymers are characterized by their proton NMR spectra using a Bruker-500 MHz NMR spectrometer (Figure shows the representative spectrum). Monomer purity is confirmed by taking 1H NMR spectra for aminopropyl methacrylamide in D2O and benzylmethacrylamide in CDCl3. Table represents the molecular characteristics of the synthesized random copolymers. The polymers synthesized here have a well-defined end-group structure, and the resonance signals from different monomers can be differentiated clearly; therefore, the chemical composition, degree of polymerization (DP), and average molecular weight (Mn) were determined by the integration of peak areas resulting from the end groups (methyl ester) and the pendant methylene protons of the side chains. All synthesized random copolymers were assigned AB nomenclature, which stands for poly[(APMA)-ran-(BMA)]: for example, (AB-20)10, where the number within the brackets indicates the mole percent of the hydrophobic group and the subscript number indicates the average number of linked polymeric units, i.e., DP.
Figure 2

Representative 1H NMR spectrum of poly[(APMA)-ran-(BMA)] copolymer.

Table 1

Characterization of Cationic Amphiphilic Random Copolymers

polymerN1aN2bDPcMnd (kDa)
(AB-20)100.200.8101.9
(AB-20)170.230.76173.1
(AB-20)270.190.81274.9
(AB-20)490.220.78498.8
(AB-20)660.210.796611.8

N1 (mole ratio of BMA).

N2 (mole ratio of APMA).

DP (degree of polymerization).

Mn (average molecular weight) values were determined by integrating the proton NMR peaks using end-group analysis.

Representative 1H NMR spectrum of poly[(APMA)-ran-(BMA)] copolymer. N1 (mole ratio of BMA). N2 (mole ratio of APMA). DP (degree of polymerization). Mn (average molecular weight) values were determined by integrating the proton NMR peaks using end-group analysis.

Antibacterial Activity

The antibacterial efficacy of polymers was investigated against E. coli and S. aureus, responsible for various nosocomial and community-acquired infections. The minimum inhibitory concentration of polymers (MIC) was determined spectrophotometrically and was identified as the lowest concentration of polymers that prevents bacteria from growing. All of the synthesized random copolymers show activity against both the tested bacteria. The results are outlined in Table .
Table 2

Antibacterial Activity of the Synthesized Random Copolymers

 MIC (μM)a
polymerE. coliS. aureus
(AB-20)1025 ± 0.00228 ± 0.12
(AB-20)1712 ± 0.00114 ± 0.05
(AB-20)276.5 ± 0.0046.5 ± 0.018
(AB-20)495.2 ± 0.0085.9 ± 0.02
(AB-20)662.7 ± 0.0053.8 ± 0.07

MIC is the minimum inhibitory concentration of polymers that completely prevents bacterial growth. MIC values are reported in units of μM. All data are represented as the mean of three replicates ± standard deviation (SD).

MIC is the minimum inhibitory concentration of polymers that completely prevents bacterial growth. MIC values are reported in units of μM. All data are represented as the mean of three replicates ± standard deviation (SD). The molecular weight of the polymers had a profound effect on the antibacterial efficacy of both the examined bacteria. The MIC values decrease with increasing molecular weight, thereby signifying a potent antibacterial efficacy with high-MW polymers, as shown in Figure . For example, (AB-20)10 with 1.9 kDa has MIC values of 25 ± 0.002 μM for E. coli and 28 ± 0.12 μM for S. aureus. However, (AB-20)66 having 11.8 kDa shows MIC values of 2.7 ± 0.005 μM for E. coli and 3.8 ± 0.07 μM for S. aureus. The relative antibacterial efficacy using the average number of linked units in a polymer chain varying from 10 to 66 was (AB-20)66 > (AB-20)44 > (AB-20)27 > (AB-20)17 > (AB-20)10. The possible explanation for the observed trend in MIC values could be the presence of a large number of lysine-mimicking cationic hydrophilic groups in high-MW (≥5 kDa) polymers that interact strongly with the anionic bacterial membrane via electrostatic interaction compared to the low-MW (≤5) polymers.
Figure 3

Minimum inhibitory concentration (MIC) of the synthesized polymers. MIC values decrease with increasing molecular weight. Data are expressed as mean ± SD of three biological replicates.

Minimum inhibitory concentration (MIC) of the synthesized polymers. MIC values decrease with increasing molecular weight. Data are expressed as mean ± SD of three biological replicates.

Cytotoxicity Study

The cytotoxicity of polymers to human juvenile fibroblast cells was studied using a colorimetric MTT assay. The principle is based on the action of the mitochondrial reductase enzyme that converts the soluble MTT tetrazolium dye into the insoluble purple formazan crystal. The formazan crystals thus formed were solubilized in dimethyl sulfoxide (DMSO). The absorbance value of the dissolved solution is measured spectrophotometrically. Cytotoxicity was measured by the decrease in oxidoreductase enzyme activity of the metabolically active cells. The growth of cells did not alter the results; therefore, cells were grown in serum-free media when treated with a polymer, and thus, after 24 h of exposure, less than 75% of cell confluence was observed. The metabolic rate of the cells was greatly influenced by the molecular weight of the polymers. The high-MW polymers reduced the metabolic activity of the cells, as shown in Figure . (AB-20)10, (AB-20)17, and (AB-20)27 polymers showed less than 5–10% of decline in metabolic activity at 1 × and 8 × MICs. However, with (AB-20)44 and (AB-20)66 polymers at 1 × MIC, approximately 70% reduction in metabolic activity was observed. These findings suggest that polymers with high molecular weight are extremely cytotoxic due to the presence of a large number of cationic units in (AB-20)44 and (AB-20)66 polymers, which corroborates with the literature that the cytotoxicity of polycationic compounds depends on the molecular weight.[45] Furthermore, high-MW polymers contain more protonated units, which catalyze the acid hydrolysis of the ester linkage found in the phospholipid chains, forming single-chain lipids and fatty acids. Then, single-chain lipids quickly destabilize the membrane, leading to cytotoxicity.[46]
Figure 4

Human juvenile fibroblast cell viability after 24 h of incubation with AB polymers. Data are expressed as a mean ± standard deviation.

Human juvenile fibroblast cell viability after 24 h of incubation with AB polymers. Data are expressed as a mean ± standard deviation. These results show that the polymers (AB-20)17 and (AB-20)27 are most suitable, as they show high antimicrobial activity in combination with low cytotoxicity. Therefore, we choose these two polymers to carry out further studies.

Live/Dead Assay

Antimicrobial agents conduct their activities in two ways, either by inhibiting bacterial growth or by killing cells. Agents that prevent bacterial growth are bacteriostatic, whereas those that destroy bacteria are bactericidal. Polymer activity and membrane permeability assay were done by performing a viability assay using the commercially available LIVE/DEAD BacLight kit. The kit comprises two dyes: green-fluorescent SYTO-9, which enters the nucleic acid of every cell, and red-fluorescent propidium iodide (PI), which enters exclusively into those cells with an impaired membrane. E. coli and S. aureus cells exhibiting green fluorescence signals indicate live cells (Figure a-i, a-ii, a-iii, d-i, d-ii, and d-iii), while (AB-20)17 and (AB-20)27 polymer-treated cells generate red fluorescence signals, suggesting damaged and dead cells (Figure b-i, b-ii, b-iii, c-i, c-ii, c-iii, e-i, e-ii, e-iii, f-i, f-ii, and f-iii). These observations demonstrate that the polymer showed a bactericidal activity. The observed bactericidal activity is due to the structural disturbance in the bacterial morphology, which is compatible with the SEM results.
Figure 5

Confocal laser scanning microscopy (CLSM) images of E. coli (first, second, and third panels from a-i to c-iii) and S. aureus (fourth, fifth, and sixth panels from d-i to f-iii) stained with SYTO-9/propidium iodide provided with a Live/Dead cell viability kit. Green dots indicate live cells with an intact membrane, while red dots indicate dead cells with a compromised membrane. The first and fourth panels show control cells without polymer treatment: E. coli in a-i, a-ii, and a-iii, and S. aureus in shown in d-i, d-ii, and d-iii. The second, third, fifth, and sixth panels show (AB-20)17 and (AB-20)27 polymer-treated cells: E. coli in b-i, b-ii, b-iii, c-i, c-ii, and c-iii, and S. aureus in e-i, e-ii, e-iii, f-i, f-ii, and f-iii. Fiji ImageJ software is used to analyze all CLSM images. Scale bar = 5 μm.

Confocal laser scanning microscopy (CLSM) images of E. coli (first, second, and third panels from a-i to c-iii) and S. aureus (fourth, fifth, and sixth panels from d-i to f-iii) stained with SYTO-9/propidium iodide provided with a Live/Dead cell viability kit. Green dots indicate live cells with an intact membrane, while red dots indicate dead cells with a compromised membrane. The first and fourth panels show control cells without polymer treatment: E. coli in a-i, a-ii, and a-iii, and S. aureus in shown in d-i, d-ii, and d-iii. The second, third, fifth, and sixth panels show (AB-20)17 and (AB-20)27 polymer-treated cells: E. coli in b-i, b-ii, b-iii, c-i, c-ii, and c-iii, and S. aureus in e-i, e-ii, e-iii, f-i, f-ii, and f-iii. Fiji ImageJ software is used to analyze all CLSM images. Scale bar = 5 μm. The commercially available Live/dead bacterial viability assay kit is used for membrane permeability assay. The procedure employs two intercalating dyes: propidium iodide (PI), a red fluorescing membrane-impermeable dye, and SYTO-9, a green fluorescing membrane-permeable dye. SYTO-9 can access the nucleic acids of all cells, which results in green fluorescence, while propidium iodide penetrates only compromised or damaged membranes and substitutes SYTO-9 from the nucleic acid of the compromised membrane, resulting in red fluorescence due to change in emission properties of the dye. The LIVE/DEAD confocal microscopic assessment is simplified to differentiate between normal healthy cells and cells with impaired membrane.

Scanning Electron Microscopy (SEM) Study

The traditional scanning electron microscopy (SEM) is used to analyze the characteristic morphological modifications induced by the antimicrobial action of the synthesized polymer on the bacterial membrane’s surface. SEM micrographs provide direct visualization of the cells before and after AB polymer treatment. E. coli and S. aureus cells were treated with (AB-20)17 and (AB-20)27 polymers, and samples were taken and prepared at various time intervals of polymer incubation, i.e., 1, 2, and then 4 h. Control cells of E. coli and S. aureus without polymer treatment present a bright, smooth, and undamaged membrane surface, as depicted by the SEM micrographs (Figure a-i, b-i, c-i, a-ii, b-ii, and c-ii). (AB-20)17 and (AB-20)27 polymer-treated E. coli cells show a roughed wrinkled membrane, with some blebs at the surface after 1 h of incubation. However, after 2 h of incubation, the intensity of the blebs increases, and multiple blebs of various shapes and sizes are observed. A completely collapsed membrane was seen in the SEM micrographs after increasing the incubation time for 4 h, as evident in Figure f-i and i-i. SEM micrographs of S. aureus cells displayed numerous protrusions of discrete blebs at the membrane surface. However, aggregation of S. aureus cells takes place when the incubation time of the polymer treatment is increased to 4 h. Aggregated cells showed damaged cell walls leading to cellular collapse, as depicted in Figure f-ii and i-ii.
Figure 6

Scanning electron micrographs (SEM) of E. coli (a-i to i-i) and S. aureus (a-ii to i-ii). Control E. coli cells, a-i, b-i, and c-i, prepared after 1, 2, and 4 h. (AB-20)17 and (AB-20)27 polymer-treated E. coli cells at various intervals of time. d-i and g-i, after 1 h; e-i and h-i, after 2 h; and f-i and i-i, after 4 h of polymer incubation. Control S. aureus cells, a-ii, b-ii, and c-ii, prepared after 1, 2, and 4 h. (AB-20)17 and (AB-20)27 polymer-treated S. aureus cells. d-ii and g-ii, after 1h; e-ii and h-ii, after 2 h; and f-ii and i-ii, after 4 h of polymer incubation. At the bottom of each micrograph, a scale bar is shown.

Scanning electron micrographs (SEM) of E. coli (a-i to i-i) and S. aureus (a-ii to i-ii). Control E. coli cells, a-i, b-i, and c-i, prepared after 1, 2, and 4 h. (AB-20)17 and (AB-20)27 polymer-treated E. coli cells at various intervals of time. d-i and g-i, after 1 h; e-i and h-i, after 2 h; and f-i and i-i, after 4 h of polymer incubation. Control S. aureus cells, a-ii, b-ii, and c-ii, prepared after 1, 2, and 4 h. (AB-20)17 and (AB-20)27 polymer-treated S. aureus cells. d-ii and g-ii, after 1h; e-ii and h-ii, after 2 h; and f-ii and i-ii, after 4 h of polymer incubation. At the bottom of each micrograph, a scale bar is shown. Figure A shows control and (AB-20)17 polymer-treated E. coli and S. aureus cells in higher magnification to visualize the effect of a polymer at the surface of the bacterial membrane after 2 h of polymer incubation. These defects caused by polymers at the surface of the bacteria demonstrate a similar mechanism as displayed by membrane-active antimicrobial agents, including antibiotics and antimicrobial peptides.
Figure 7

(A) Scanning electron micrographs of E. coli (a-i and b-i) and S. aureus (c-i and d-i) at higher magnification to show the influence of the polymers’ antimicrobial activity at the surface of the bacteria. Control, E. coli a-i, and S. aureus c-i. (AB-20)17 polymer-treated cells after 2 h of polymer incubation, b-i and d-i. (B) Scanning electron micrographs of (i) silica particles and (ii) silica treated with AB polymer.

(A) Scanning electron micrographs of E. coli (a-i and b-i) and S. aureus (c-i and d-i) at higher magnification to show the influence of the polymers’ antimicrobial activity at the surface of the bacteria. Control, E. coli a-i, and S. aureus c-i. (AB-20)17 polymer-treated cells after 2 h of polymer incubation, b-i and d-i. (B) Scanning electron micrographs of (i) silica particles and (ii) silica treated with AB polymer. Furthermore, a control experiment was carried out, where negatively charged silica particles and AB polymer were incubated for 2 h and then viewed using scanning electron microscopy. SEM images of silica treated with polymer indicate that there is no coating of polymer on the silica particles (Figure B-ii). This experiment suggests that the blebs formed at the surface of the bacterial membrane are due to the polymer interacting with the membrane rather than it coating the cell surface. In summary, we conclude that AB polymers are capable of causing significant characteristic modifications to the bacterial membrane surface that influence the overall morphology of both the examined bacteria, as shown by SEM micrographs leading to membrane disruption accompanied by leakage of intracellular contents such as RNA, DNA, or proteins, resulting in cell death.

Resistance Study

(AB-20)17 and (AB-20)27 polymers are chosen for resistance study. Susceptible strains of E. coli and S. aureus were serially passaged at subinhibitory polymer concentration and determined any change in MIC values. Ciprofloxacin, belonging to the fluoroquinolone class of antibiotics, was used as a control. No incremental change in MIC values was observed with (AB-20)17 and (AB-20)27 polymers in 25 and 30 days of serial passage (Figure ). However, with ciprofloxacin, a 256-fold change in the MIC values was observed with E. coli and 64-fold with S. aureus (Table ). This reduction in susceptibility correlates to a high level of resistance development with ciprofloxacin. In contrast, no resistant mutants were observed with (AB-20)17 and (AB-20)27 polymers against both the examined bacteria. These findings are of particular importance due to the emergence of resistance to conventional antibiotics in these bacteria.
Figure 8

Serial passage study against E. coli (A and C) and S. aureus (B and D). Bacteria were grown with (AB-20)17 and (AB-20)27 polymers’ subinhibitory MIC concentration. Ciprofloxacin is used as a control.

Table 3

Representation of the Summarized Sequential Passage Data

   MIC (μM)
 
bacteria strainantibacterial agentnumber of passagesinitialfinalfold change in MICa
E. coli(AB-20)17251212no resistance
ciprofloxacin250.18848.28256
(AB-20)27306.56.5no resistance
ciprofloxacin300.0924.1256
S. aureus(AB-20)17251414no resistance
ciprofloxacin250.7548.2864
(AB-20)27306.56.5no resistance
ciprofloxacin300.7524.132

A 4-fold increase in MIC from the original MIC value is considered resistance development.

Serial passage study against E. coli (A and C) and S. aureus (B and D). Bacteria were grown with (AB-20)17 and (AB-20)27 polymers’ subinhibitory MIC concentration. Ciprofloxacin is used as a control. A 4-fold increase in MIC from the original MIC value is considered resistance development.

Conclusions

The role of the average molecular weight of cationic random methacrylamide polymers in regulating the antibacterial efficacy and cytotoxic activity was investigated. Antibacterial susceptibility and cell viability assays explicitly demonstrated that MIC values and cytotoxicity are directly dependent on the average number of linked units present in a polymer chain, i.e., the average molecular weight. Higher-MW polymers having more cationic groups are highly toxic. The integrity of the cell membrane is compromised by these polymers, resulting in cell death (bactericidal activity), as exhibited by the confocal study. Our observations support the membrane-targeting mechanism as the first antibacterial effect on the cells by these polymers, predicted by protrusion and blebs formation on the surface of S. aureus and E. coli as viewed by SEM micrographs. (AB-20)17 and (AB-20)27 polymers can be developed as biocompatible antibacterial agents with MIC values ranging from 6.5 to 14 μM.

Materials and Methods

Materials

N-Benzylmethacrylamide (Polysciences, Inc. Warrington), N-(3-aminopropyl) methacrylamide hydrochloride >98% (Polysciences, Inc. Warrington), methyl 3-mercapto-propionate (MMP, Sigma-Aldrich), 2,2′-azobisisobutyronitrile (AIBN, Rankem), ethanol (Advent Chembio Pvt. Ltd., India), methanol (Sigma-Aldrich), benzoylated dialysis tubing (Sigma-Aldrich), and deuterium oxide (D2O, Sigma-Aldrich). All chemical reagents were analytical grade and were used as purchased. S. aureus (ATCC 25923; Gram-positive bacteria) and E. coli (ATCC 25922; Gram-negative bacteria) were obtained from Microbial Type Culture Collection (MTCC), Chandigarh, India. Muller–Hinton Broth (MHB) and Muller–Hinton Agar (MHA) (Himedia, India), Ciprofloxacin >98% (Sigma-Aldrich), Corning 96-well plates (polypropylene, non-treated, 3359), and glutaraldehyde (Grade I, 50% in water, Sigma-Aldrich). Lipids: 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) and 1,2-dioleoyl-sn-glycero-3[phospho-rac-(1-glycerol)] (sodium salt) (DOPG) (Avanti Polar Lipids). In chloroform, a lipid stock solution was prepared and stored under a nitrogen blanket at −80 °C. NaCl (Himedia, India), 4-(2-hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES, >99.5%, Sigma-Aldrich), sulforhodamine B (Sigma-Aldrich), LIVE/DEAD BacLight bacterial viability kit (L7007, Molecular Probes) (Invitrogen, Carlsbad, CA), and TritonTM-X 100 (Sigma-Aldrich). Human juvenile foreskin fibroblast cells (passage 5–30), fetal bovine serum (FBS), Dulbecco’s modified Eagle’s media 1 × (DMEM), Trypan blue stain, and trypsin-ethylenediaminetetraacetic acid (EDTA) solution 1× were purchased from Thermofisher Scientific (Gibco). An antibiotic solution consisting of penicillin–streptomycin 100× (Sigma-Aldrich, India), dimethyl sulfoxide (DMSO; Merck, India), and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT; Sigma-Aldrich, India) was purchased and used as received.

Polymerization of Random Copolymers

Free-radical copolymerization of aminopropyl methacrylamide hydrochloride (APMA) and benzylmethacrylamide (BMA) was performed using methyl mercaptopropionate (MMP) as a chain transfer agent and azobisisobutyronitrile (AIBN) as a radical initiator (I). A representative protocol is as follows: APMA and BMA (various ratios) were dissolved in ethanol/methanol in a 25 mL Schlenk flask, followed by the addition of AIBN and MMP. For all copolymerizations, CTA/I = 5. Degassing of the reaction was carried out by freeze–evacuate cycles (three times) under a high vacuum before placing the reaction flask for 24 h at 70 °C. The polymerization solution was opened in air and quenched in liquid nitrogen after completion of the reaction. The purification of the polymerization solution was done using dialysis against water for three days. Mildly acidic water is used during the dialysis process to reduce polymer loss because of dialysis tube swelling due to internal osmotic pressure that builds on the dialysis tube. A white powder of polymer was obtained after lyophilization of the dialysis solution and was stored in a desiccator. The mole percentage of hydrophobic benzyl units is kept constant (0.2) to determine the impact of molecular weight on the biological activities.

Antimicrobial Susceptibility Assay

The antibacterial activity of polymers was determined using a standard microdilution assay by finding the minimum inhibitory concentration (MIC) following CLSI guidelines with some modifications proposed by Hancock, particularly for cationic antimicrobial agents.[47,48] Bacterial glycerol stock was plated on sterile agar plates and incubated for 24 h at 37 °C. The next day, an individual colony was picked from the agar plate and transferred into 10 mL of Muller–Hinton (MH) broth followed by overnight incubation at 37 °C under shaking conditions. The overnight bacterial inoculum was 100-fold diluted in MH broth and incubated for 2–3 h until the mid-logarithmic stage was reached. Mid-logarithmic bacterial cells were appropriately diluted to 106 CFU/mL in MH broth and mixed with polymer stock solution (prepared in aqueous 0.001% acetic acid) to a final volume of 100 μL in an individual well of a 96-well polypropylene microtiter plate (Corning no. 3379). MIC plates were incubated overnight at 37 °C, followed by optical density (OD) reading at 630 nm. A Biotek microplate reader was used to record the optical density (OD). Negative control comprises the Muller–Hinton broth, whereas positive control comprises bacterial cells without polymer treatment. For each experiment, biological replicates are used, and each experiment runs in triplicates, which correspond to nine replicates of individual conditions. MIC is the minimum polymer concentration that completely prevents bacterial growth. In all cases, the MIC values were measured below the polymer solubility limits in the MHB. The rate of bacterial survival was calculated using the formula

Cell Culture

Human fibroblast cells were grown in DMEM media supplied with 1% antibiotic solution consisting of penicillin and streptomycin and 10% fetal bovine serum (FBS) in a humidifying environment at 37 °C with 5 percent of carbon dioxide. Trypsinization of cells was done with 0.05% trypsin-EDTA, after obtaining ∼80% confluence, and counted using a hemocytometer.

Cytotoxicity Assay

The MTT assay is used to assess in vitro cytotoxicity using human juvenile fibroblast cells. A 96-well cell culture plate is used to seed the cells (104 cells/well). Growth media were replaced after obtaining 60–70% cell confluence with serum and antibiotic-free DMEM media consisting of varying polymer concentrations. Positive control consists of Triton-X-100, while negative control consists of PBS buffer. The plate was incubated at 37 °C for 24 h in a CO2 incubator. After 24 h of polymer exposure, the old media was replaced with fresh media from the culture plate. Sterile filtered MTT stock solution (5 mg per mL in PBS buffer; 10 μL/well) was added to each well, achieving a final 0.45 mg/mL MTT concentration, followed by incubating the plate at 37 °C for 4 h in an incubator (supplied with 5 percent CO2). Hundred microliters of the solubilizing agent, dimethyl sulfoxide, was added to each well after removing old media to dissolve the formazan crystals. All experiments were carried out in triplicate. A Biotek cytation 5 plate reader was used to record the absorbance reading at 570 nm. The following formula is used to calculate the percentage of cell viability:where OD570 = absorbance at 570 nm, (test sample) is the average of the observed results of 3 wells, (negative control) is the average of 8 control wells with PBS buffer, and (positive control) is the average of 8 control wells lysed with 3% Triton-X 100.

Scanning Electron Microscopy (SEM)

For microscopic evaluation, a high cell density is required (108–1010 CFU/mL). The MIC values for high cell density are therefore determined together with the usual cell density of 106 CFU/mL. Mid-logarithmic-phase bacteria were appropriately diluted to the desired cell density, followed by centrifugation and PBS washing. The cell suspension was treated with (AB-20)17 and (AB-20)27 polymers and incubated at 37 °C. Control cells consist of bacteria without the treatment of polymer. After 1 h, 2 h, and 4 h, the cells were taken out from the control and polymer-treated samples, centrifuged, and washed with PBS buffer, followed by fixation with 2.5% glutaraldehyde overnight. The next day, cells were resuspended in water after washing with water. Graded ethanol series, i.e., 25, 45, 65, 85, 90, and 100%, were used to dehydrate the cells. Samples were coated with a small amount of platinum to prevent charging in a microscope. FE-SEM instrument JEOL (JSM7600F) was used to capture the SEM micrographs.

Bacterial Viability Assay Using a Live/Dead Kit

The effect of the polymer on bacterial cells is studied using a live/dead viability kit. The kit consists of two vials, A and B, with different concentrations of propidium iodide (PI) and SYTO-9 stains. S. aureus and E. coli cells in the mid-exponential phase were cultured and diluted with appropriate cell density in the Muller–Hinton broth pelleted by centrifugation, and suspended in 0.9% salt solution. (AB-20)17 and (AB-20)27 polymers were incubated with bacteria for 4 h at 37 °C. Bacteria without polymer treatment serve as the control. Control and polymer-treated cells were centrifuged and resuspended in 0.9% salt solution. Then, 1 μL of stain from each vial (vial A and vial B) was added to the cell suspension (1 mL), followed by 15 min incubation at room temperature. Dyes are sensitive to light; therefore, an aluminum foil is used to protect the samples from light. At the center of the microscope slide, 5 μL of cell suspension was mounted between the coverslips and examined by a confocal laser scanning microscope (CLSM), TCS SP8, Leica, using appropriate filters as specified by the manufacturer. E. coli and S. aureus overnight cultures were appropriately diluted and grown with (AB-20)17 and (AB-20)27 polymers’ subinhibitory MIC concentrations for developing resistant mutants by sequential passaging. The clinically used antibiotic Ciprofloxacin is used as a control. After 24 h of incubation, the bacterial inoculum with the highest polymer concentration (below MIC value) was 100-fold diluted with sterile media and added to tubes containing sub and supra 2-fold MIC concentrations of polymer. This procedure was performed every day for 25 and 30 days. Agar plates were used to passage cultures that displayed high MIC values, followed by their MIC determination.
  42 in total

Review 1.  Antimicrobial resistance: a global multifaceted phenomenon.

Authors:  Francesca Prestinaci; Patrizio Pezzotti; Annalisa Pantosti
Journal:  Pathog Glob Health       Date:  2015-09-07       Impact factor: 2.894

Review 2.  Designing dendrimers for biological applications.

Authors:  Cameron C Lee; John A MacKay; Jean M J Fréchet; Francis C Szoka
Journal:  Nat Biotechnol       Date:  2005-12       Impact factor: 54.908

3.  Nylon-3 polymers active against drug-resistant Candida albicans biofilms.

Authors:  Runhui Liu; Xinyu Chen; Shaun P Falk; Kristyn S Masters; Bernard Weisblum; Samuel H Gellman
Journal:  J Am Chem Soc       Date:  2015-02-04       Impact factor: 15.419

4.  Cationic Amphiphilic Polymers with Antimicrobial Activity for Oral Care Applications: Eradication of S. mutans Biofilm.

Authors:  Haruko Takahashi; Enrico T Nadres; Kenichi Kuroda
Journal:  Biomacromolecules       Date:  2016-12-19       Impact factor: 6.988

5.  Decoupling the Functional Roles of Cationic and Hydrophobic Groups in the Antimicrobial and Hemolytic Activities of Methacrylate Random Copolymers.

Authors:  Hamid Mortazavian; Leanna L Foster; Rajani Bhat; Shyrie Patel; Kenichi Kuroda
Journal:  Biomacromolecules       Date:  2018-10-26       Impact factor: 6.988

6.  Chemical structure of cationic groups in amphiphilic polymethacrylates modulates the antimicrobial and hemolytic activities.

Authors:  Edmund F Palermo; Kenichi Kuroda
Journal:  Biomacromolecules       Date:  2009-06-08       Impact factor: 6.988

Review 7.  The chemistry and applications of antimicrobial polymers: a state-of-the-art review.

Authors:  El-Refaie Kenawy; S D Worley; Roy Broughton
Journal:  Biomacromolecules       Date:  2007-04-11       Impact factor: 6.988

8.  Anti-Microbial Dendrimers against Multidrug-Resistant P. aeruginosa Enhance the Angiogenic Effect of Biological Burn-wound Bandages.

Authors:  Philippe Abdel-Sayed; Ariane Kaeppeli; Ariane Kaeppli; Thissa Siriwardena; Tamis Darbre; Karl Perron; Paris Jafari; Jean-Louis Reymond; Dominique P Pioletti; Lee Ann Applegate
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

9.  Antibacterial isoamphipathic oligomers highlight the importance of multimeric lipid aggregation for antibacterial potency.

Authors:  Joseph S Brown; Zeinab J Mohamed; Christine M Artim; Dana N Thornlow; Joseph F Hassler; Vincent P Rigoglioso; Susan Daniel; Christopher A Alabi
Journal:  Commun Biol       Date:  2018-12-07

10.  Nature-inspired antimicrobial polymers--assessment of their potential for biomedical applications.

Authors:  Ali Al-Ahmad; Dougal Laird; Peng Zou; Pascal Tomakidi; Thorsten Steinberg; Karen Lienkamp
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.