Biomimetic Antibacterial Gelatin Hydrogels with Multifunctional Properties for Biomedical Applications.

A facile novel approach of introducing dopamine and [2-(methacryloyloxy) ethyl] dimethyl-(3-sulfopropyl) ammonium hydroxide via dopamine-triggered in situ synthesis into gelatin hydrogels in the presence of ZnSO4 is presented in this study. Remarkably, the resulting hydrogels showed 99.99 and 100% antibacterial efficiency against Gram-positive and Gram-negative bacteria, respectively, making them the highest performing surfaces in their class. Furthermore, the hydrogels showed adhesive properties, self-healing ability, antifreeze properties, electrical conductivity, fatigue resistance, and mechanical stability from -100 to 80 °C. The added multifunctional performance overcomes several disadvantages of gelatin-based hydrogels such as poor mechanical properties and limited thermostability. Overall, the newly developed hydrogels show significant potential for numerous biomedical applications, such as wearable monitoring sensors and antibacterial coatings.

Polysaccharide-based antibacterial coating technologies.

To tackle antimicrobial resistance, a global threat identified by the United Nations, is a common cause of healthcare-associated infections (HAI) and is responsible for significant costs on healthcare systems, a substantial amount of research has been devoted to developing polysaccharide-based strategies that prevent bacterial attachment and biofilm formation on surfaces. Polysaccharides are essential building blocks for life and an abundant renewable resource that have attracted much attention due to their intrinsic remarkable biological potential antibacterial activities. If converted into efficient antibacterial coatings that could be applied to a broad range of surfaces and applications, polysaccharide-based coatings could have a significant potential global impact. However, the ultimate success of polysaccharide-based antibacterial materials will be determined by their potential for use in manufacturing processes that are scalable, versatile, and affordable. Therefore, in this review we focus on recent advances in polysaccharide-based antibacterial coatings from the perspective of fabrication methods. We first provide an overview of strategies for designing polysaccharide-based antimicrobial formulations and methods to assess the antibacterial properties of coatings. Recent advances on manufacturing polysaccharide-based coatings using some of the most common polysaccharides and fabrication methods are then detailed, followed by a critical comparative overview of associated challenges and opportunities for future developments. STATEMENT OF SIGNIFICANCE: Our review presents a timely perspective by being the first review in the field to focus on advances on polysaccharide-based antibacterial coatings from the perspective of fabrication methods along with an overview of strategies for designing polysaccharide-based antimicrobial formulations, methods to assess the antibacterial properties of coatings as well as a critical comparative overview of associated challenges and opportunities for future developments. Meanwhile this work is specifically targeted at an audience focused on featuring critical information and guidelines for developing polysaccharide-based coatings. Including such a complementary work in the journal could lead to further developments on polysaccharide antibacterial applications.

Automated Prediction of Bacterial Exclusion Areas on SEM Images of Graphene-Polymer Composites.

To counter the rising threat of bacterial infections in the post-antibiotic age, intensive efforts are invested in engineering new materials with antibacterial properties. The key bottleneck in this initiative is the speed of evaluation of the antibacterial potential of new materials. To overcome this, we developed an automated pipeline for the prediction of antibacterial potential based on scanning electron microscopy images of engineered surfaces. We developed polymer composites containing graphite-oriented nanoplatelets (GNPs). The key property that the algorithm needs to consider is the density of sharp exposed edges of GNPs that kill bacteria on contact. The surface area of these sharp exposed edges of GNPs, accessible to bacteria, needs to be inferior to the diameter of a typical bacterial cell. To test this assumption, we prepared several composites with variable distribution of exposed edges of GNP. For each of them, the percentage of bacterial exclusion area was predicted by our algorithm and validated experimentally by measuring the loss of viability of the opportunistic pathogen Staphylococcus epidermidis. We observed a remarkable linear correlation between predicted bacterial exclusion area and measured loss of viability (R2 = 0.95). The algorithm parameters we used are not generally applicable to any antibacterial surface. For each surface, key mechanistic parameters must be defined for successful prediction.

Bacterial response to graphene oxide and reduced graphene oxide integrated in agar plates.

There are contradictory reports in the literature regarding the anti-bacterial activity of graphene, graphene oxide (GO) and reduced graphene oxide (rGO). This controversy is mostly due to variations in key parameters of the reported experiments, like: type of substrate, form of graphene, number of layers, type of solvent and most importantly, type of bacteria. Here, we present experimental data related to bacterial response to GO and rGO integrated in solid agar-based nutrient plates-a standard set-up for bacterial growth that is widely used by microbiologists. Bacillus subtilis and Pseudomonas aeruginosa strains were used for testing bacterial growth. We observed that plate-integrated rGO showed strong anti-bacterial activity against both bacterial species. By contrast, plate-integrated GO was harmless to both bacteria. These results reinforce the notion that the response of bacteria depends critically on the type of graphene material used and can vary dramatically from one bacterial strain to another, depending on bacterial physiology.

A proximal promoter element required for positive transcriptional control by guanosine tetraphosphate and DksA protein during the stringent response.

The alarmone guanosine tetraphosphate (ppGpp) acts as both a positive and a negative regulator of gene expression in the presence of DksA, but the underlying mechanisms of this differential control are unclear. Here, using uspA hybrid promoters, we show that an AT-rich discriminator region is crucial for positive control by ppGpp/DksA. The AT-rich discriminator makes the RNA polymerase-promoter complex extremely stable and therefore easily saturated with RNA polymerase. A more efficient transcription is achieved when the RNA polymerase-promoter complex is destabilized with ppGpp/DksA. We found that exchanging the AT-rich discriminator of uspA with the GC-rich rrnB-P1 discriminator made the uspA promoter negatively regulated by ppGpp/DksA both in vivo and in vitro. In addition, the GC-rich discriminator destabilized the RNA polymerase-promoter complex, and the effect of ppGpp/DksA on the kinetic properties of the promoter was reversed. We propose that the transcription initiation rate from promoters with GC-rich discriminators, in contrast to the uspA-promoter, is not limited by the stability of the open complex. The findings are discussed in view of models for both direct and indirect effects of ppGpp/DksA on transcriptional trade-offs.

Identification of enzyme inhibitory mechanisms from steady-state kinetics.

Enzyme inhibitors are used in many areas of the life sciences, ranging from basic research to the combat of disease in the clinic. Inhibitors are traditionally characterized by how they affect the steady-state kinetics of enzymes, commonly analyzed on the assumption that enzyme-bound and free substrate molecules are in equilibrium. This assumption, implying that an enzyme-bound substrate molecule has near zero probability to form a product rather than dissociate, is valid only for very inefficient enzymes. When it is relaxed, more complex but also more information-rich steady-state kinetics emerges. Although solutions to the general steady-state kinetics problem exist, they are opaque and have been of limited help to experimentalists. Here we reformulate the steady-state kinetics of enzyme inhibition in terms of new parameters. These allow for assessment of ambiguities of interpretation due to kinetic scheme degeneracy and provide an intuitively simple way to analyze experimental data. We illustrate the method by concrete examples of how to assess scheme degeneracy and obtain experimental estimates of all available rate and equilibrium constants. We suggest simple, complementary experiments that can remove ambiguities and greatly enhance the accuracy of parameter estimation.

Increased RNA polymerase availability directs resources towards growth at the expense of maintenance.

Nutritionally induced changes in RNA polymerase availability have been hypothesized to be an evolutionary primeval mechanism for regulation of gene expression and several contrasting models have been proposed to explain how such 'passive' regulation might occur. We demonstrate here that ectopically elevating Escherichia coli RNA polymerase (Esigma(70)) levels causes an increased expression and promoter occupancy of ribosomal genes at the expense of stress-defense genes and amino acid biosynthetic operons. Phenotypically, cells overproducing Esigma(70) favours growth and reproduction at the expense of motility and damage protection; a response reminiscent of cells with no or diminished levels of the alarmone guanosine tetraphosphate (ppGpp). Consistently, we show that cells lacking ppGpp displayed markedly elevated levels of free Esigma(70) compared with wild-type cells and that the repression of ribosomal RNA expression and reduced growth rate of mutants with constitutively elevated levels of ppGpp can be suppressed by overproducing Esigma(70). We conclude that ppGpp modulates the levels of free Esigma(70) and that this is an integral part of the alarmone's means of regulating a trade-off between growth and maintenance.

Cis-acting resistance peptides reveal dual ribosome inhibitory action of the macrolide josamycin.

Macrolide antibiotics block the entrance of nascent peptides to the peptide exit tunnel of the large ribosomal subunit. Expression of specific cis-acting peptides confers low-level macrolide-resistance. We show that, in the case of josamycin, peptide expression does not eject josamycin from the ribosome, implying a peptide resistance mechanism different from that previously suggested for erythromycin. We find dipeptide formation and dipeptidyl-tRNA drop-off in the presence of josamycin to be much slower during translation of resistance than of control mRNAs. We demonstrate low-level josamycin resistance by over-expression of peptidyl-tRNA hydrolase. These findings suggest dual growth-inhibitory action of josamycin by (i) direct inhibition of peptide-elongation and (ii) indirect inhibition of peptide-elongation through rapid peptidyl-tRNA drop-off, leading to depletion of tRNA isoacceptors available for protein synthesis. We propose that josamycin resistance peptide expression brings ribosomes into a "quarantine" state with small drop-off rate, thereby eliminating the josamycin dependent depletion of tRNA isoacceptors in the protein-synthesis-active state.

Erythromycin resistance by L4/L22 mutations and resistance masking by drug efflux pump deficiency.

We characterized the effects of classical erythromycin resistance mutations in ribosomal proteins L4 and L22 of the large ribosomal subunit on the kinetics of erythromycin binding. Our data are consistent with a mechanism in which the macrolide erythromycin enters and exits the ribosome through the nascent peptide exit tunnel, and suggest that these mutations both impair passive transport through the tunnel and distort the erythromycin-binding site. The growth-inhibitory action of erythromycin was characterized for bacterial populations with wild-type and L22-mutated ribosomes in drug efflux pump deficient and proficient backgrounds. The L22 mutation conferred reduced erythromycin susceptibility in the drug efflux pump proficient, but not deficient, background. This 'masking' of drug resistance by pump deficiency was reproduced by modelling with input data from our biochemical experiments. We discuss the general principles behind the phenomenon of drug resistance 'masking', and highlight its potential importance for slowing down the evolution of drug resistance among pathogens.

The kinetics of ribosomal peptidyl transfer revisited.

The speed of protein synthesis determines the growth rate of bacteria. Current biochemical estimates of the rate of protein elongation are small and incompatible with the rate of protein elongation in the living cell. With a cell-free system for protein synthesis, optimized for speed and accuracy, we have estimated the rate of peptidyl transfer from a peptidyl-tRNA in P site to a cognate aminoacyl-tRNA in A site at various temperatures. We have found these rates to be much larger than previously measured and fully compatible with the speed of protein elongation for E. coli cells growing in rich medium. We have found large activation enthalpy and small activation entropy for peptidyl transfer, similar to experimental estimates of these parameters for A site analogs of aminoacyl-tRNA. Our work has opened a useful kinetic window for biochemical studies of protein synthesis, bridging the gap between in vitro and in vivo data on ribosome function.

Complementary roles of initiation factor 1 and ribosome recycling factor in 70S ribosome splitting.

We demonstrate that ribosomes containing a messenger RNA (mRNA) with a strong Shine-Dalgarno sequence are rapidly split into subunits by initiation factors 1 (IF1) and 3 (IF3), but slowly split by ribosome recycling factor (RRF) and elongation factor G (EF-G). Post-termination-like (PTL) ribosomes containing mRNA and a P-site-bound deacylated transfer RNA (tRNA) are split very rapidly by RRF and EF-G, but extremely slowly by IF1 and IF3. Vacant ribosomes are split by RRF/EF-G much more slowly than PTL ribosomes and by IF1/IF3 much more slowly than mRNA-containing ribosomes. These observations reveal complementary splitting of different ribosomal complexes by IF1/IF3 and RRF/EF-G, and suggest the existence of two major pathways for ribosome splitting into subunits in the living cell. We show that the identity of the deacylated tRNA in the PTL ribosome strongly affects the rate by which it is split by RRF/EF-G and that IF3 is involved in the mechanism of ribosome splitting by IF1/IF3 but not by RRF/EF-G. With support from our experimental data, we discuss the principally different mechanisms of ribosome splitting by IF1/IF3 and by RRF/EF-G.

Rate and accuracy of bacterial protein synthesis revisited.

Our understanding of the accuracy of tRNA selection on the messenger RNA programmed ribosome has recently increased dramatically because of high-resolution crystal structures of the ribosome, cryo-electron microscopy reconstructions of its functional complexes, and fast kinetics experiments. Application of single-molecule spectroscopy with fluorescence resonance energy transfer to studies of tRNA selection by the ribosome has also provided new, albeit controversial, insights. Interestingly, when the fundamental trade-off between rate and accuracy in substrate-selective biosynthetic reactions is taken into account, some aspects of the current models of ribosome function appear strikingly suboptimal in the context of growing bacterial cells.

Trigger factor binding to ribosomes with nascent peptide chains of varying lengths and sequences.

Trigger factor (TF) is the first protein-folding chaperone to interact with a nascent peptide chain as it emerges from the ribosome. Here, we have used a spin down assay to estimate the affinities for the binding of TF to ribosome nascent chain complexes (RNCs) with peptides of varying lengths and sequences. An in vitro system for protein synthesis assembled from purified Escherichia coli components was used to produce RNCs stalled on truncated mRNAs. The affinity of TF to RNCs exposing RNA polymerase sequences increased with the length of the nascent peptides. TF bound to RNA polymerase RNCs with significantly higher affinity than to inner membrane protein leader peptidase and bacterioopsin RNCs. The latter two RNCs are substrates for signal recognition particle, suggesting complementary affinities of TF and signal recognition particle to nascent peptides targeted for cytoplasm and membrane.

How initiation factors maximize the accuracy of tRNA selection in initiation of bacterial protein synthesis.

During initiation of bacterial protein synthesis, messenger RNA and fMet-tRNAfMet bind to the 30S ribosomal subunit together with initiation factors IF1, IF2, and IF3. Docking of the 30S preinitiation complex to the 50S ribosomal subunit results in a peptidyl-transfer competent 70S ribosome. Initiation with an elongator tRNA may lead to frameshift and an aberrant N-terminal sequence in the nascent protein. We show how the occurrence of initiation errors is minimized by (1) recognition of the formyl group by the synergistic action of IF2 and IF1, (2) uniform destabilization of the binding of all tRNAs to the 30S subunit by IF3, and (3) an optimal distance between the Shine-Dalgarno sequence and the initiator codon. We suggest why IF1 is essential for E. coli, discuss the role of the G-C base pairs in the anticodon stem of some tRNAs, and clarify gene expression changes with varying IF3 concentration in the living cell.

How initiation factors tune the rate of initiation of protein synthesis in bacteria.

The kinetics of initiator transfer RNA (tRNA) interaction with the messenger RNA (mRNA)-programmed 30S subunit and the rate of 50S subunit docking to the 30S preinitiation complex were measured for different combinations of initiation factors in a cell-free Escherichia coli system for protein synthesis with components of high purity. The major results are summarized by a Michaelis-Menten scheme for initiation. All three initiation factors are required for maximal efficiency (kcat/KM) of initiation and for maximal in vivo rate of initiation at normal concentration of initiator tRNA. Spontaneous release of IF3 from the 30S preinitiation complex is required for subunit docking. The presence of initiator tRNA on the 30S subunit greatly increases the rate of 70S ribosome formation by increasing the rate of IF3 dissociation from the 30S subunit and the rate of 50S subunit docking to the IF3-free 30S preinitiation complex. The reasons why IF1 and IF3 are essential in E. coli are discussed in the light of the present observations.

The molecular mechanism of peptide-mediated erythromycin resistance.

The macrolide antibiotic erythromycin binds at the entrance of the nascent peptide exit tunnel of the large ribosomal subunit and blocks synthesis of peptides longer than between six and eight amino acids. Expression of a short open reading frame in 23 S rRNA encoding five amino acids confers resistance to erythromycin by a mechanism that depends strongly on both the sequence and the length of the peptide. In this work we have used a cell-free system for protein synthesis with components of high purity to clarify the molecular basis of the mechanism. We have found that the nascent resistance peptide interacts with erythromycin and destabilizes its interaction with 23 S rRNA. It is, however, in the termination step when the pentapeptide is removed from the peptidyl-tRNA by a class 1 release factor that erythromycin is ejected from the ribosome with high probability. Synthesis of a hexa- or heptapeptide with the same five N-terminal amino acids neither leads to ejection of erythromycin nor to drug resistance. We propose a structural model for the resistance mechanism, which is supported by docking studies. The rate constants obtained from our biochemical experiments are also used to predict the degree of erythromycin resistance conferred by varying levels of resistance peptide expression in living Escherichia coli cells subjected to varying concentrations of erythromycin. These model predictions are compared with experimental observations from growing bacterial cultures, and excellent agreement is found between theoretical prediction and experimental observation.

Kinetics of macrolide action: the josamycin and erythromycin cases.

Members of the macrolide class of antibiotics inhibit peptide elongation on the ribosome by binding close to the peptidyltransferase center and blocking the peptide exit tunnel in the large ribosomal subunit. We have studied the modes of action of the macrolides josamycin, with a 16-membered lactone ring, and erythromycin, with a 14-membered lactone ring, in a cell-free mRNA translation system with pure components from Escherichia coli. We have found that the average lifetime on the ribosome is 3 h for josamycin and less than 2 min for erythromycin and that the dissociation constants for josamycin and erythromycin binding to the ribosome are 5.5 and 11 nM, respectively. Josamycin slows down formation of the first peptide bond of a nascent peptide in an amino acid-dependent way and completely inhibits formation of the second or third peptide bond, depending on peptide sequence. Erythromycin allows formation of longer peptide chains before the onset of inhibition. Both drugs stimulate the rate constants for drop-off of peptidyl-tRNA from the ribosome. In the josamycin case, drop-off is much faster than drug dissociation, whereas these rate constants are comparable in the erythromycin case. Therefore, at a saturating drug concentration, synthesis of full-length proteins is completely shut down by josamycin but not by erythromycin. It is likely that the bacterio-toxic effects of the drugs are caused by a combination of inhibition of protein elongation, on the one hand, and depletion of the intracellular pools of aminoacyl-tRNAs available for protein synthesis by drop-off and incomplete peptidyl-tRNA hydrolase activity, on the other hand.

The mechanism of action of macrolides, lincosamides and streptogramin B reveals the nascent peptide exit path in the ribosome.

The macrolide-lincosamide-streptogramin B class (MLS) of antibiotics contains structurally different but functionally similar drugs, that all bind to the 50S ribosomal subunit. It has been suggested that these compounds block the path by which nascent peptides exit the ribosome. We have studied the mechanisms of action of four macrolides (erythromycin, josamycin, spiramycin and telithromycin), one lincosamide (clindamycin) and one streptogramin B (pristinamycin IA). All these MLS drugs cause dissociation of peptidyl-tRNA from the ribosome. Josamycin, spiramycin and clindamycin, that extend to the peptidyl transferase center, cause dissociation of peptidyl-tRNAs containing two, three or four amino acid residues. Erythromycin, which does not reach the peptidyl transferase center, induces dissociation of peptidyl-tRNAs containing six, seven or eight amino acid residues. Pristinamycin IA causes dissociation of peptidyl-tRNAs with six amino acid residues and telithromycin allows polymerisation of nine or ten amino acid residues before peptidyl-tRNA dissociates. Our data, in combination with previous structural information, suggest a common mode of action for all MLS antibiotics, which is modulated by the space available between the peptidyl transferase center and the drug.