| Literature DB >> 35415290 |
Zhuoran Wu1, Brian Chan2, Jessalyn Low2, Justin Jang Hann Chu3,4,5,6, Hwee Weng Dennis Hey7, Andy Tay1,2,8.
Abstract
Microbial resistance to current antibiotics therapies is a major cause of implant failure and adverse clinical outcomes in orthopaedic surgery. Recent developments in advanced antimicrobial nanotechnologies provide numerous opportunities to effective remove resistant bacteria and prevent resistance from occurring through unique mechanisms. With tunable physicochemical properties, nanomaterials can be designed to be bactericidal, antifouling, immunomodulating, and capable of delivering antibacterial compounds to the infection region with spatiotemporal accuracy. Despite its substantial advancement, an important, but under-explored area, is potential microbial resistance to nanomaterials and how this can impact the clinical use of antimicrobial nanotechnologies. This review aims to provide a better understanding of nanomaterial-associated microbial resistance to accelerate bench-to-bedside translations of emerging nanotechnologies for effective control of implant associated infections.Entities:
Keywords: Antimicrobial nanotechnology; Bacterial infection; Microbial resistance; Nanomaterial; Orthopaedic implant
Year: 2022 PMID: 35415290 PMCID: PMC8965851 DOI: 10.1016/j.bioactmat.2022.02.014
Source DB: PubMed Journal: Bioact Mater ISSN: 2452-199X
Fig. 1Statistics of IAI and their socio-economic costs. (A) Estimated number of implant procedures per year in the United States: dental implant = 3 million [70], joint implant = 1 million [71], fracture fixation devices = 1.9 million [72], spinal implant = 1.62 million [73]. (B) Estimated IAI rates of various implant procedures: dental implant = 1.7–10% [74,75], joint implant = 0.5–2.2% [76], fracture fixation devices = 21–50% [[77], [78], [79]], spinal implants = 1–8% [80]. (C) Estimated surgery costs for various implants (USD): dental implant = 12–41k [81], joint implant = 36k – 78k [82], fracture fixation devices = 16k – 20k [83], spinal implant = 68k – 138k [84,85]. (D) Number of publications relevant to IAIs from 1990 to 2020. Research interest in IAI has been increasing exponentially every decade since 1990, signifying increasing interest in the field. Original research articles include full papers and communications while reviews/perspectives include perspectives, book chapters, and reviews. Results are obtained from ScienceDirect database with advanced search query “implant associated infection” sorted by year. (E) A general summary of the potential pathways in which current antimicrobial nanotechnology used in orthopaedic implants can lead to antimicrobial resistance. Nanomaterials with different compositions, antibacterial mechanisms, and synthesis pathways may predispose the patients to a higher risk of antimicrobial resistance by a series of materials associated detriments, such as impaired immune function, toxicity to the nearby healthy cells, and bacterial adaptation through mechanisms mainly involving stress response, damage repair, and protection. In addition, premature release of antibacterial compounds and early degradation of nanomaterials also contribute to microbial resistance. Created with Biorender.com.
Fig. 2The developmental process of antimicrobial resistance and key mechanisms. (A) The key genetic changes leading to resistance to penicillin. Overexposure to penicillin can inactivate the functionality of blaR1 and blaI, which in turn increases the production of β-lactamase through overexpression of blaZ. (B) The key genetic changes leading to resistance to methicillin. Like penicillin, the extended use of methicillin can result in mutation of mecA, which produces a protein called PBP2a that is known to effectively inhibit almost the entire class of antibiotics. (C) Biofilm formation on the implant surface. Colour gradient (green to red) is correlated to the level of antimicrobial resistance. As the development of biofilm progresses, bacteria become more resistant to not only antibiotics, but also the host immune responses. Activation of quorum sensing (QS) and c-di-GMP is important for successful biofilm formation. At the late stage, some bacteria can be released from the mature biofilm and dispersed to other part of the host body, causing disease transmission and intra-host spread of the bacterial infection. Created with Biorender.com (D) Representative SEM images that correspond to the major stages of biofilm formation. Initial attachment (i) is followed by rapid proliferation and aggregation (ii). Secretion of EPS and formation of the biofilm occurs (iii). Dispersal of the bacteria inferred from the empty cavities observed, indicated by the red arrow (iv). Reproduced with permission from MDPI and John Wiley and Sons [99,100].[99,100]. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3Antimicrobial nanotechnologies with oxidative stress- and heat-evoking properties can prime the patients receiving orthopaedic implants for antimicrobial resistance (A) A schematic depicts how resistant bacteria (e.g., MRSA). resist to oxidative stress induced damages. (B) MIC of 10 nm Ag nanoparticles against 20 strains of S. aureus before passage, after 10th passage conditioned by a sub-lethal dose of the particles, and after 10th stable passage in nanoparticle-free condition following the 10 passages of conditioning experiments. Reproduced with permission from John Wiley and Sons [190]. (C) A computed table shows the probability of occurrence of multidrug resistance in Ag-resistant S. aureus [191]. n = 38. Chronic exposure to silver can allow S. aureus to cross-adapt to a broad range of antibiotics. The probability of resistance to a certain antibiotic was calculated by the number of resistance events over the total number of strains. Abbreviations: CN, gentamicin; FOX, cefoxitin; CIP, ciprofloxacin; TGC, tigecycline; C, chloramphenicol; FD, fusidic acid; DA, clindamycin; E, erythromycin; LZD, linezolid; QD, quinupristin/dalfopristin. Reproduced with permission from Dove Medical Press [191]. (D) A NO release profile as a function of time. The burst release of NO and lack of sustainability can limit its long-term therapeutic efficacy against bacterial infections Reproduced with permission from American Chemical Society [195]. (E) Oxygen level in murine femur tissues infected by S. aureus as a function of time. S. aureus osteomyelitis triggers reduced oxygen availability in infected murine femurs, which can limit the therapeutic efficacy of oxygen-dependent PTT. Reproduced with permission from PLoS [211].
Fig. 4Various fabrication strategies for creation of antifouling coating onto orthopaedic implants along with its advantages and disadvantages [242]. spray [243,244] spin [245] dip coating [246,247] photopolymerization [248] electrophoretic [249] ion beam.
Fig. 5Nanomaterials can control bacterial infections via modulating the immune function of macrophages. (A) Schematic illustration of LL-37 functionalized Ti implant [256]. (B) LL-37 at high concentrations significantly increased genetic expression of IL-10, a potent anti-inflammatory cytokine implicating the ability of LL-37 to induce M2 macrophage polarization. Reproduced with permission from Elsevier [256]. (C) A representative TEM image of synthetic host defence peptide nano mimic (P12) nanoparticles. Expression of IL-6 (D) and IL-10 (E) after co-treatment by IL-4, IL13, and P12 nanoparticles. Reproduced with permission from Springer Nature [261]. (F) Representative immunofluorescence staining images for CD11b (red, M1 marker), CD206 (red, M2 marker) and CD80 (green, M1 marker) of MMTV-PyMT tumour sections with or without 7-day exposure to iron oxide nanoparticles, i.e., ferumxytol. Significantly increased level of M1 markers in the iron oxide nanoparticles-treated samples suggested the presence of a large quantity of M1 macrophages in the tumour section relative to the untreated samples. Reproduced with permission from Springer Nature [268]. (G) Increase of M2 macrophages in the total macrophage population after exposure to Mg substrates. Reproduced with permission from the Royal Society of Chemistry [273]. (H) An illustration summarizes different physical and chemical cues affecting the macrophage polarization fate. Created with Biorender.com.(For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6High-aspect-ratio nanostructured surface in antimicrobial applications. (A) An atomic force microscopy (AFM) image of the TiO2 patterned stainless steel 316 implant substrate. (B) SEM images showing the adhesion of streptococcus mutants on stainless steel 316 implant substrate (i) without TiO2 micropatterns and (ii) TiO2 micropatterns. Scale bar = 5 μm. Inserts correspond to the respective SEM images with lower magnification. Scale bar = 10 μm TiO2 patterned surface possessed significantly reduced number of adhered bacteria. Reproduced with permission from Springer Nature [280]. (C) a possible antibacterial mechanism proposed by Pogodin et al. (Ci) Bacterial contact with nanostructured patterns. (Cii) Bacterial membrane begins to stretch when bacteria interact with the nanostructures. (Ciii) Bacteria membrane rupture occurs when the stretching force is overwhelming, causing cellular lysis and bacterial death. Reproduced with permission from Elsevier [283]. (D) Another biophysical model proposed by Xue et al. in an attempt to explain the nanostructure induced bacterial lysis [284]. H is the height of the nanopillars, 2R is the bottom width of the nanopillars, Sa denotes the contact area of the part of the bacterial membrane covering the nanostructure, Sb denotes the area of the suspended membrane, r0 is the distance from the dividing line to the x-axis, and D is the distance between two adjacent nanopillars. In this model, the rupture event is mainly caused by the combination of gravity and van der waals. Reproduced with permission from Elsevier [284]. (E) A dome-like nanopatterns created by direct laser writing (DLW) with laser power (lp) of 12%. Although 3D printed surface patterns for antibacterial applications remains largely under-studied, future development of this additive manufacturing technology may be valuable for a highly reproducible and industrially scalable surface patterned implant with intrinsic bacteria-killing property. Reproduced with permission from American Chemical Society [296].
SWOT analysis of different antimicrobial nanotechnologies.
| Strength | Weakness | Opportunity | Threat | Ref | |
|---|---|---|---|---|---|
Able to kill bacteria before attachment onto implant surface | Unable to provide long term protection due to premature depletion of drugs | Design of ‘smart’ delivery systems with release via various cues (temperature or pH) can vastly improve efficiency of strategy | Premature depletion of drugs, causing emergence of antibiotic resistant strains | [ | |
Co-delivery of a cocktail of various antimicrobial molecules can serve multiple therapeutic functions. | |||||
Intrinsic antimicrobial properties against antibiotic resistant bacteria strains | Innate toxicity to host cells after long term exposure | Immunomodulatory properties are largely unexplored and potentially can be harnessed with well controlled delivery | Optimization is needed to prevent prolonged inflammation | [ | |
Non-selective bactericidal property can potentially hinder development of antimicrobial resistance | Development of resistance is not impossible | Can be synergized with other strategies to improve antimicrobial effect | Toxicity to humans cannot be fully replicated in animal models | ||
Inhibits bacterial attachment | Eukaryotic cell attachment may be compromised | Improvements in manufacturing process can greatly improve scalability | Prevents bacteria colonization but will not confer permanent bactericidal effects, leading to infection once anti-biofouling property is compromised | [ | |
No toxicity concerns | Suboptimal bactericidal effect [some polymers like chitosan can kill bacterial to some extent] | Other antimicrobial techniques can complement the strengths of anti-biofouling properties | A struggle to ensure that the entire implant surface is adequately coated. | ||
Mechanical and chemical frailty in the long term | |||||
Anti-bactericidal effect using mechanical lysis and poration with reduced likelihood to promote resistance | Accumulation of dead cells surface may decrease anti-bactericidal effects | Strong demand for innovative anti-microbial materials | Higher cost of production and price tags may deter use | [ | |
Localised protection that reduces adverse systemic outcomes | Wear and tear during surgery and continual use | High applicability to a broad range of implants | Low scalability in manufacturing due to specialised equipment needed | ||
Minimally affects larger eukaryotic cells and may even promote osseointegration with osteoblasts | Limited (pre-)clinical data about efficacy | Relative ease to comply with Good Manufacturing Practices | |||
Potential for sustainable and long lasting anti-microbial protection | Possible cytotoxicity when release of immunomodulatory biomolecules is not well controlled | Current boom in immunomodulatory materials including early phase clinical research | Batch-to-batch variation during complex material synthesis | [ | |
Multiple synergistic mechanisms of protection including immune cell recruitment and macrophage polarization | Programmable properties in a broad range of antimicrobial settings | Regulatory approvals can take longer due to involvements of many chemical and biological factors | |||
Localised protection that reduces adverse systemic outcomes | Ease of integration with existing strategies such as polymer coatings and nano-structured implant surfaces | Potential high costs as all components must be pharmaceutical grades |
A list of available characterization techniques useful for antimicrobial nanotechnology research.
| Antibacterial Properties | Purpose/Objectives | Assays | References |
|---|---|---|---|
| Cell adhesion | Observation of bacterial attachment on material | Microscopy Techniques (SEM, TEM, AFM, Confocal, Optical) | [ |
| Biofilm formation | Visualization of biofilm | Fluorescence imaging (CLSM, epifluorescence microscopy) | [ |
| Bacteria viability | Detection of bacteria viability or activity | Live/dead assay, CLSM, plate colony count, FDA assay, DAPI stain | [ |
| Chemical composition | Determination of material composition/Verification of uniformity in coating | NMR, FTIR, XPS | [ |
| Morphology | Investigation of morphology of the material | Microscopy Techniques (SEM, TEM, AFM, Confocal, Optical) | [ |
| Biodegradability | Analysis of material degradation | Fluorescence imaging, SEM | [ |
| Cytotoxicity | Characterization of toxicity of materials | Live/dead assay, CCK-8 | [ |
| Loading capacity | Measurement of loading capacity of material as molecular reservoir | BCA assay, fluorescamine assay | [ |
| Release kinetics | Assessment of release profile of loaded biomolecules from material/Ensure controlled release of loaded biomolecules over 30 days | Fluorescence imaging, ELISA, UV-VIS | [ |
| Bactericidal effect | Evaluation of bactericidal effect of materials/Aim for 2–3 log fold reduction of bacteria for clinical relevance | ISO 22196, agar zone of inhibition, spray inoculation assay, immersion inoculation assay, touch transference inoculation assay | [ |
| Immunomodulation | Determination of immune responses elicited by material/The polarization and immune cell profile is balanced and not skewed. | ELISA, macrophage phagocytosis assay, immunofluorescent staining of immune cells | [ |
| Immune cell recruitment | Recruitment of immune cells to site of implantation | Fluorescence imaging and tissue histology | [ |
| Immunogenicity | Assessment of side effects and immunomodulation | Immunofluorescent staining of immune proteins | [ |
Abbreviations: AFM: Atomic force microscopy; BCA: Bicinchoninic acid; CCK-8: Cell counting kit-8; CLSM: Confocal laser scanning microscope; DAPI: 4′,6-diamidino-2-phenylindole; ELISA: Enzyme-linked immunosorbent assay; FDA: Fluorescein diacetate; FTIR: Fourier-transform infrared spectroscopy; ISO: International Organization for Standardization; NMR: Nuclear magnetic resonance; SEM: Scanning electron microscopy; TEM: Transmission election microscopy; UV–Vis: Ultraviolet–visible spectroscopy; XPS: X-ray photoelectron spectroscopy.