Anju Tyagi1, Abhijit Mishra2. 1. Department of Chemistry, Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar, Gujarat 382355, India. 2. Department of Materials Engineering, Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar, Gujarat 382355, India.
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.
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.
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
polymer
N1a
N2b
DPc
Mnd (kDa)
(AB-20)10
0.20
0.8
10
1.9
(AB-20)17
0.23
0.76
17
3.1
(AB-20)27
0.19
0.81
27
4.9
(AB-20)49
0.22
0.78
49
8.8
(AB-20)66
0.21
0.79
66
11.8
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
polymer
E. coli
S. aureus
(AB-20)10
25 ± 0.002
28 ± 0.12
(AB-20)17
12 ± 0.001
14 ± 0.05
(AB-20)27
6.5 ± 0.004
6.5 ± 0.018
(AB-20)49
5.2 ± 0.008
5.9 ± 0.02
(AB-20)66
2.7 ± 0.005
3.8 ± 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 strain
antibacterial agent
number of passages
initial
final
fold change in MICa
E. coli
(AB-20)17
25
12
12
no resistance
ciprofloxacin
25
0.188
48.28
256
(AB-20)27
30
6.5
6.5
no resistance
ciprofloxacin
30
0.09
24.1
256
S. aureus
(AB-20)17
25
14
14
no resistance
ciprofloxacin
25
0.75
48.28
64
(AB-20)27
30
6.5
6.5
no resistance
ciprofloxacin
30
0.75
24.1
32
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.
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
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