- freely available
Pathogens 2013, 2(2), 288-356; doi:10.3390/pathogens2020288
Abstract: The influence of microorganisms growing as sessile communities in a large number of human infections has been extensively studied and recognized for 30–40 years, therefore warranting intense scientific and medical research. Nonetheless, mimicking the biofilm-life style of bacteria and biofilm-related infections has been an arduous task. Models used to study biofilms range from simple in vitro to complex in vivo models of tissues or device-related infections. These different models have progressively contributed to the current knowledge of biofilm physiology within the host context. While far from a complete understanding of the multiple elements controlling the dynamic interactions between the host and biofilms, we are nowadays witnessing the emergence of promising preventive or curative strategies to fight biofilm-related infections. This review undertakes a comprehensive analysis of the literature from a historic perspective commenting on the contribution of the different models and discussing future venues and new approaches that can be merged with more traditional techniques in order to model biofilm-infections and efficiently fight them.
Pioneer studies by A.T. Henrici in the early 20th century  and later by J. W. Costerton and colleagues [2,3] have pointed to the existence of microorganism populations living on surfaces. Nowadays it is well accepted that, in most environments, microorganisms can switch from a free-living state to a sessile mode of life to form biofilms displaying specific properties. Among these specific properties is an enhanced tolerance to all sort of adverse conditions including desiccation and high concentrations of antimicrobial agents such as biocides, antibiotic and antifungal compounds [4,5,6,7,8]. Microorganisms growing and persisting on surfaces are problematic because, on one hand, they represent a source of contamination when present in a closed hospital environment and, on the other hand, when introduced into the body, they can develop on medical devices or tissues such as mucosa to form antimicrobial tolerant biofilms. N. Hoiby, J.W. Costerton and their collaborators were the first to suspect a direct correlation between bacteria growing as communities and persistent infections notably in the case of Pseudomonas aeruginosa colonizing the lungs of cystic fibrosis patients [9,10,11,12,13,14]. Since then, an increased awareness of the link between microorganisms growing on surfaces and development of human infections led to the estimation that 65% (Centers for Disease Control and Prevention/CDC ) to 80% (NIH ) of human infections were associated with biofilms (Figure 1). While difficult to precisely evaluate, such estimates reveal the importance of studying biofilms in order to better understand their specific properties and fight them.
Development of simplified models started right after the demonstration of a link between sessile communities and human infections to study how bacteria, including pathogens, can form biofilms. Multiple in vitro models have emerged from scientists’ creativity, each of them especially adapted to observe biofilm formation of specific bacteria and within specific environments. The success of in vitro models but also their limitations, notably their failure to reproduce the host environment, led to a rapid development of multiple in vivo models ranging from surrogate non-mammalian models allowing high throughput analysis to more sophisticated models using rodents or higher animals such as dogs, pigs and monkeys. Interestingly, many of these models have been developed before clinicians and researchers realized that the modeled infection was indeed biofilm-related . Importantly, because of justified ethical concerns, the use of mammalian in vivo models was early on restricted by legal regulations implying evaluation of scientific and medical benefits of the research but also taking into account animal welfare . The protection of vertebrate animals therefore entails the evaluation of each project by ethics committees to confirm that they follow the “three R rule” edicted by Russel and Burch in 1959: Replace, Reduce and Refine . This partially explains why in vitro and in vivo surrogate non-mammalian models are still heavily used and continue to reveal important insights about biofilm physiology and promising treatments for biofilm-related infections.
The aim of this review is to present the various aspects of the development of biofilm-related infection models ranging from simple in vitro to complex in vivo models. We will focus on discussing which experimental results have already or are about to reach clinical studies in humans. This review will also discuss specific future approaches that start to be used and should help to model better biofilm-related infections.
2. In vitro Biofilm Models
Simplified in vitro models have been instrumental in addressing basic questions about biofilm formation, physiology and architecture. They offer a number of advantages such as a low cost, easy set-up, and amenability to high throughput screens. They generally mimic hallmarks of biofilm biology like different gradients of nutrients, gases and metabolic products, as well as high cell densities or production and release of extracellular matrix.
A complete and comprehensive list of in vitro biofilm models is provided in Table 1 and see [21,22] for further information. Briefly, the different in vitro biofilm models can be classified in three distinct groups:
Closed or static models, in which there are limited nutrients and aeration. This includes some of the most popular and successful models, such as the colony biofilm model and microtiter plates [23,24]. In addition, these models enable direct rapid quantification of biofilm mass (via stains like crystal violet, safranin and congo red) or viable cells (XTT reduction assay).
Open or dynamic systems. The principle of these models is similar to continuous cultures, in which spent culture consisting of wastes, metabolic byproducts, dispersed and dead cells are constantly replaced by fresh medium. These methods generally allow the control of environmental parameters such as shear forces, and have been therefore extensively used to study the physical and chemical resistance of biofilms. However, they are in most instances less adapted to high throughput analysis and often demand specialized equipment and technical skills .
Microcosms are more sophisticated models that aim to closely mimic in situ conditions. They often include several bacterial species and use material from the studied environment, for instance, addition of hydroxyapatite and saliva to model dental biofilms , or covering abiotic surfaces with human cells in order to mimic an in vivo situation . Theoretically, both open and closed systems could be turned into microcosms. Microcosms include more environmental parameters and take into consideration the complexity and heterogeneity of natural settings.
Although often regarded as over-simplistic, in vitro models have greatly contributed to today’s knowledge of biofilm physiology. They are still largely used to study the role of different genes involved in biofilm formation and regulation processes, as well as other applied purposes such as to screen libraries of antimicrobial agents. Nevertheless, these models ignore important parameters like environmental factors, or more specifically when characterizing pathogenic biofilms, host factors and other biotic signals.
|Method||Characteristics||Advantages||Uses of model||References|
|1. Static systems|
|Colony Biofilm||Colonies are grown over agar.
Maintains basic biofilm characteristics like structured environment and chemical gradients.
|Reproducible and simple.
Amenable to high throughput screening.
|Antibiotic susceptibility assessment
Morphotypes observation essentially upon polysaccharides production
|Microtiter plate||Commonly used.
Bacteria attach to well surfaces.
|Simple to run,
Amenable to high throughput screening.
Suited to molecular genetic tests.
|Evaluation of biofilm formation of strains, biofilm antibiotic tolerance and resistance, efficiency of antibiofilm/antimicrobial products||[23,383]|
|Biofilm Ring Test||Immobilization of magnetic beads
Results are automatized and analyzed by image analysis.
|Allows for a rapid monitoring of biofilm formation.
Possibility to assess early adhesion events.
Quick and automatic analysis.
Does not involve washing and staining procedures.
|Evaluation of biofilm formation of strains|||
|Calgary Biofilm Device||Based on 96-well microtiter plate assay.
Includes a lid with 96 pegs on which biofilms develop.
|Commercially available system.
Pegs can be removed individually without opening the system, and hence avoiding contaminations.
Consistent shear force across all pegs.
|Biofilm antibiotic resistance and tolerance, efficiency of antibiofilm/antimicrobial products.
Study biofilm development over time.
|2. Open systems|
|Kadouri system||Based on microtiter plate assay but with constant renewal of media.
Minimum shear forces.
|Formation of mature biofilm in microtiter plate wells, meaning a big amount of biomass that can be later used for microarrays and proteomics||Allows testing of multiple conditions and treatments.|||
|Flow cell||Flat walled transparent chambers irrigated by culture media under the microscope.
Costly and expertise is needed.
System is automatized and available for image analysis.
|Enables for non-destructive real-time biofilm observation (Allows single cell visualization).
Excellent image quality
|Evaluation of biofilm formation of strains, biofilm antibiotic tolerance, efficiency of antibiofilm/antimicrobial products.|||
|CDC Biofilm reactors||Consists of eight polypropylene holders, accommodating 3 coupons each over which bacteria adhere, suspended from a lid surrounded by media||Commercially available system.
Easy sampling at different time points
|Evaluation of biofilm formation, biofilm antibiotic resistance and tolerance. Test disinfectant efficiencies.
Study biofilm development over time.
Biofilms develop over a removable spatula composed of different materials
|Large mass of biofilm produced
Allows microscopic, genetic and biochemical analysis
Different shear forces can be applied
Can be easily turned into a microcosm
|Easily converted into microcosms, by covering spatula with human cells.
Evaluation of antibiotic effects and biofilm formation ability of strains.
|Modified Robbins Device||Ports sit in a linear array along a rectangular channel. In each port, a plug can be inserted.||Sampling plugs can be removed and replaced aseptically||Used to mimic throat conditions and evaluate the efficiency of different products in rubber tracheo-oesophageal prostheses|||
|Drip flow reactor||Individual channels are introduced into polycarbonate blocks within which microscope slides may be placed.
Biofilms are grown in an angled way.
|Low shear and high gas transfer.
Allows for both solid-liquid and solid-air
|Wound biofilm model. Tested for antimicrobial efficiency , bacteriophage reduction of biofilms and other antibiofilm strategies.
Evaluation of disinfectant efficiencies.
Study biofilm heterogeneity.
|Microfluidic biochips||Biochip is embedded in an aluminium block in which temperature is controlled.
Has contactless dielectric microsensors.
Monitors dielectric changes of subcellular components within biofilm.
Measures biofilm growth and development with sensitivity.
|Useful to study population dynamics and quantitative cell analysis.|||
|Constant depth film fermenter||Biofilms develop on polytetrafluoroethylene (PTFE) plugs.
Biofilm growth and depth is limited.
Excess biofilm is removed.
|Excess biofilm is removed (imitating mechanical biofilm removal like tongue effect or toothbrush).||Specially suited to study oral biofilms.
Tests of the effect of surface characteristic on biofilm formation. Antibiotic resistance tests.
|Rotating Disc Reactor||Teflon rotor holding several (6 to 24) coupons over which biofilms will form. Rotor is embedded with a magnetic stir bar on the bottom and driven by a stirrer.||Liquid shear forces over the coupons can be varied.||Evaluate antimicrobial and antifouling treatments.
Also used to study multispecies biofilms.
|BioFlux Device||96 individual microfluidic channels fed with a pneumatic pump.
Shear can be controlled individually in each channel.
|Low cost in reagents and energy supply.
High throughput analysis.
Precise control of environmental conditions.
Study of single cell behaviors within a community.
|High throughput screening.
Evaluation of biofilm formation of strains, biofilm antibiotic tolerance and resistance, efficiency of antibiofilm/antimicrobial products
|Annular reactors||Based on two concentric cylinders; an outer static one which acts as the wall of the vessel and the inner rotating cylinder.||Shear forces can be controlled.
Removable test coupons.
|Evaluation of disinfection efficiencies.
Study the effect of shear forces.
Specially suited to study aquatic biofilms
|Sorbarod devices (SBF)||Sorbarod filter plugs with a cellulose matrix perfused with media.||Easy set up.
Substantial amounts of biomass.
Growth rate control possible.
Allows sampling of dispersed cells.
|Used to evaluate long-time effects of antibiotics.|||
|Perfused (membrane) biofilm fermenter||Cells are collected by pressure filtration in a cellulose acetate membrane.
Filter is the inverted into the base of a modified fermentor
Filter is the perfused with fresh medium
Newly formed and loosely attached cells are eluted with spent medium.
|Allows growth-rate control bacteria or yeast
Adherent bacterial biomass is constant and proportional to the limiting nutrient concentrations
|Used to evaluate antibiotic and fungicide efficiency|||
|Reconstituted Human Epithelia (RHE)||Biofilms form on top of human keratinocytes derived from buccal mucosa.||Takes into account some host factors, such as receptor specificity.||Human cells - bacteria biofilms interactions.
Used to study oral biofilms.
|Zürich Oral Biofilm-model||Biofilms form on hydroxyapatite disposed in 24-well microtiter plates||Can study population dynamics and antibiotic resistance and tolerance at the same time
Semi high throughput
|Used to study oral biofilms.|||
|Zürich Burn Biofilm-model||Polymicrobial biofilms are grown on gauze discs of DermaPlast recovered by a protein pellicle disposed on 24-welled microtiter plates.||Allows the study of structure of polymicrobial biofilms.
|Mimics biofilms development on burns.
Suitable to assess antimicrobial efficiencies.
|Endothelial Cells Under Flow model||Biofilms forms on human microvascular endothelial cells attached to microscope slide, perfused with media, under an inverted fluorescent microscope.||Has a continuous flow of nutrients.
Biofilm development can be imaged and cells can be tracked.
Takes into account shear forces in blood vessels.
|Biofilm formation and dynamics on blood vessels and valves.|||
|Airway Epithelial cell Model||Airway epithelial cells are disposed on collagen-coated membranes.||Allows formation of air-liquid biofilm formation.||Models chronic rhinosinusitis, cystic fibrosis
and other biofilm-related pulmonary infections.
|Multiple Sorbarod device (MSD)||Modified SBF system with five replicate plugs.||Allows for multiple replicates.||Used to replicate oral microcosms, perfused with saliva and multispecies biofilms|||
|Microfluidic Co-culture model||Microfluidic channels covered with HeLa cells over which biofilms form.||Analysis of host-bacteria interactions.
Real-time visualization of biofilm development.
|Used to mimic gastrointestinal colonization.
Human cells – bacteria biofilms interactions.
|4. Ex vivo|
|Root canal biofilms||Extracted tooth are embedded in silicone putty and irrigated.||Irrigation of dental surfaces.
|Remove dental biofilms and root canal infections|||
|Cardiac valve ex vivo model||Use of excised porcine heart valve.||Study initial bacteria and the valve tissue interactions.
Adapted to imaging (field emission scanning microscopy).
|Evaluate progression of endocarditis|||
|Candidiasis in vaginal mucosa||Rabbit vaginas are placed in 6-well tissue culture plates.||Optimal for microscopic evaluations (confocal and scanning).||Model of candidiasis|||
|RWV Bioreactor||System able to grow 3D structures.
Maintains cell polarity, differentiation and extracellular matrix production:
|Circumvents conventional monolayers limitations.
Minimizes mechanical cell damage.
Microgravity conditions are maintained.
|Has been used to model P. aeruginosa infection in lungs, Salmonella in gut and uropathogenic E. coli||[410,411,412]|
3. Ex vivo Biofilm Models
Midway between in vitro and in vivo lie ex vivo models, in which tissues or organs are extracted from an organism (typically porcine or murine) and placed in an artificial environment for further analysis and experimentation. Often neglected, they allow for more controlled experimental conditions than in vivo models and can provide an alternative to living organisms in order to perform otherwise ethically questionable measurements and experiments. They can be particularly useful to image or analyze the progression of bacterial colonization of a given organ or tissue, such as tracheal epithelium, vaginal mucosa, kidneys or teeth [27,28,29,30]. They can also be used to assess different time-windows for effective treatment of biofilm infections . Details of different ex vivo models are described in Table 1.
4. Non-Mammalian in vivo Models
Infection and pathogenesis is a continuous interplay between the host and microbes and between microbes themselves. These interactions can influence and determine the fate of infection and they are complex and dynamic, which makes it difficult to study them in a relevant manner in in vitro models . As in vitro models offer a simplified vision of the environment, it is important to use adequate in vivo models to validate in vitro results as a first step to test hypothesis that could be later translated into higher organisms or clinical settings.
In the past ten years, in order to overcome the practical difficulty associated with the use of mammalian models, non-mammalian models traditionally used to study development like the fruit fly, Drosophila melanogaster or the zebrafish, Danio rerio, have been adapted to study host-microbe interactions and immune system responses, notably related to colonization of the gut by biofilms . Increasing awareness of biofilm-related infections has prompted these and other models discussed in Table 2 and Figure 2, to study tissue colonization, biofilm formation and the onset of pathogenesis. Many different models have been proposed, ranging from simple plant models such as Arabidopsis thaliana and Lemna minor, which were successfully used to correlate virulence and biofilm formation in pathogenic S. aureus and P. aeruginosa  to more complex invertebrates like Caenorhabditis elegans , D. melanogaster (Figure 2) [36,37,38] or the vertebrate zebrafish [39,40,41] (Table 2 and Figure 2).
|Organism||Size||Generation time||Temp. (°C)||Immune system||Follow-up of host infection||Relevant Model||Human Pathogens studied||References|
|Tetrahymena pyriformis||20 × 40 μm||7 hours||22–26||Unknown||Real-time through bacterial fluorescent markers||Biofilm grazing, Virulence and toxicity||Klebsiella pneumoniae, Legionella pneumophila, Vibrio cholerae|||
|Acanthamoeba sp.||15 to 35 μm||6–10 hours||19–25||Macrophage analog||--||Biofilm grazing, Phagocytosis, intracellular survival||L. pneumophila, Cryptococcus neoformans, Candida albicans, Methicillin-resistant Staphylococcus aureus (MRSA), V. cholerae|||
|Dictyostellium discoideum (Slime mould)||10–20 μm||4–12 hours||19–25||Macrophage analog||Real-time through bacterial fluorescent markers||Biofilm grazing, Phagocytosis, intracellular survival||Pseudomonas aeruginosa, L. pneumophila, Listeria monocytogenes (intracellular pathogens)|||
|Lemna minor (Duckweed)||2–5 mm × 1.5–3.5 mm||1 week||28||Unknown||✗||Biofilm formation and virulence||S. aureus, P. aeruginosa, Salmonella spp., Shigella spp., Yersinia spp.|||
|Medicago sativa (Wounded alfalfa)||Seedlings||3 months||30||Unknown||✗||Chronic bacterial lung infections,||P. aeruginosa, Burkholdheria cepacia|||
|Arabidopsis thaliana (Thale cress)||1 to 20–25 cm||3 weeks||20–25||Analog pathwaysto MAPK||✗||Biofilm formation and virulence||Pseudomonas spp., S. aureus|||
|Hirudo sp (Leach)||15–40 mm (adult)||--||10–35||Unknown||--||Biofilm competition and gut colonization||Aeromonas spp.|||
|Panagrellus redivivus (Sour paste nematode)||1 mm × 50 μm||3–5 days||37||Innate immunity (Toll-like receptor, MAPK)||--||Biofilm formation, virulence, gut colonization||P. aeruginosa, Salmonella enterica, and S. aureus|||
|Caenorhabditis elegans (Round worm)||1 mm ×100 μm||4–7 days||22–27||Innate immunity (Toll-like receptor, MAPK)||Real-time through bacterial fluorescent markers||Biofilm formation, virulence, gut colonization||Microbacterium nematophilum, Escherichia coli, Shigella flexneri, V. cholerae, Shewanella spp. Listeria spp., S. aureus, Streptococcus sp.|||
|Galleria mellonella (Wax moth caterpillar)||3 cm in length||--||30||Innate immunity (Toll-like receptor, MAPK, NFκB)||--||Biofilm formation and virulence||Pseudomonas spp., Proteus mirabilis, E. coli, Bacillus cereus, Bacillus thuringiensis, C. albicans, C. neoformans|||
|Drosophila melanogaster (Fruit fly)||3 mm||10 days||12–30||Innate immunity (Toll-like receptor, Imd, MAPK, NFκB)||Real-time through fluorescent markers, LacZ fusions available||Biofilm formation, virulence, gut colonization||Wolbachia spp., Serratia marcescens, Erwinia spp., Pseudomonas entomophila, C. neoformans, Francisella novicida, L. monocytogenes, V. cholerae, C. albicans|||
|Danio rerio (Zebrafish)||3–5 mm (larvae)
6–6.5 cm (adult)
|3–4 months||23–28||Adaptive and innate||Real-time through fluorescent markers both on host and bacteria||Biofilm formation, virulence, gut colonization||Mycobacterium marinum, Oodinium, Microsporidia, E. coli, Pseudomonas spp., Salmonella spp. Vibrio spp.|||
1 As insects, they could also be used to model gut colonization and commensal-pathogen interaction. However, to the best of our knowledge, it has not yet been used with this objective. ✗: not possible; --: not described.
Non-mammalian models share advantages such as a rapid development leading to short generation time and are generally cheap to raise and perform experiments. In addition, most of these model organisms have their genome already sequenced and can be genetically manipulated, thus, offering the possibility to do genetics both on the bacteria and the host. In addition, their small size enables to maintain most of them in microtiter plates, which is useful to perform high throughput studies, some of which in an automated version . This has already allowed successful screening for virulence genes [39,43,44,45], colonization and biofilm formation factors [34,46,47] or chemical libraries for antimicrobial compounds .
Their reduced complexity for some pivotal systems linked to infection has actually been an advantage. For example, despite the simplicity of their immune system, these surrogate non-mammalian organisms have been useful to identify evolutionarily conserved host defense mechanisms and have shed light into universal immune mechanisms . Additionally, the facility of generating axenic or gnotobiotic animal models has allowed simplifying host/pathogens and flora interactions studies. Recent research using an axenic zebrafish model has proven that increased biofilm forming ability of commensal bacteria can rescue larvae from Edwardsiella ictaluri-induced death .
Nevertheless, these models reached their limits when studying complex immune responses in relation to biofilm infection or using pathogens whose optimal growth temperature and expression of virulence factors are beyond the animal growth temperature. Moreover, due to the short lifespan and duration of experiments, these models seem unsuited to study chronic infections typically caused by biofilms.
5. Tissue-Associated Biofilm Models
While important information has been generated using in vitro and invertebrate in vivo models, the use of mammalian models that are closer to humans is required before considering going from bench to bedside. Therefore, many efforts have been made to closely mimic in higher organisms the occurrence of biofilm-related infections that allowed us to address diagnostic or therapeutic challenges (see Table 3).
|Type of biofilm-related infection||Type of model||Animal||Microorganisms||Direct biofilm /chronic infection||Technical details||References|
|CF lung infections||Agar-bead based infection model||Rats, mice, cats, guinea pigs and monkeys||P.a, S.a, H.i and B. cenocepacia||B||Intratracheal route of infection||[54,55,56,57,58,59]|
|Seaweed alginate microsphere infection||Rats, mice, guinea pigs||P.a||B||Intratracheal route of infection||[62,63,64]|
|Agar-bead based model||Mice||P.a||B||Intravenous injections||[66,67,424,425]|
|CF model (CFTR-/- mice)||Mice, pigs, ferrets||P.a, S.a and B. cepacia||B||Agar-bead based intranasal route of infection||[68,70,74,426]|
|COPD associated infections||COPD/emphysema||Mice||H.i||B||Intranasal route of infection|||
|Diffuse panbronchiolitis||Chronic diffuse panbronchiolitis||Mice||P.a||CI||Piece of intravenous catheter coated with P. aeruginosa||[80,81,82]|
|Urinary tract infections||Murine cystitis model||Mice||E.c, K.p||B||Transurethral catheter for inoculating bacteria in bladder||[89,91]|
|Rat model of chronic cystitis||Rats||E.c||CI||Transurethral catheter for inoculating bacteria in bladder|||
|Chronic bacterial prostatitis||Experimental model of chronic prostatitis||Rats||P.m, E.c||CI||Prostatic urethral injections||[115,117,118]|
|Urinary Stones or Struvites||Rat model of urolithiasis||Rats||P.m, U. urealyticum||B||Foreign body like zinc disc or chalk in bladder||[127,129,130,427]|
|Pyelonephritis||Urinary stone genesis model||Rats||P.m||B||Zinc discs in bladder|||
|Intestinal Infections||Intestinal colonization model||Mice||C. rodentium||Oral dosing of bacteria||[141,142]|
|Streptomycin-treated mouse model||Mice||E.c, Salmonella||B||Oral dosing of bacteria||[138,140]|
|Gall Bladder Infections||Chronic infection model||Mice||Salmonella||CI||Oral infection||[145,146,147]|
|Chronic wounds infection||Needle scratch model, Skin abrasion||Mice||MRSA||B||Scratch with 28 gauge needle on skin to damage epidermis|||
|Wound infection model||Mice||MSSA||B||Full-thickness wound is established through the panniculus carnosus on the back of animals|||
|Excisional wound model||Mice||S.a||B||Cuts made on the back of mice|||
|Ischemic wound model||Rats||P.a||B||Pressure-induced wounds|||
|Cutaneous wound healing model||Rabbits||P.a||B||Circular punch-wounds in ear|||
|Cutaneous porcine wound model||Pigs||S.a||B||Partial thickness wounds on paravertebral area using a modified electrokeratome|||
|Diabetic foot wound model||Mice||E.c, B. fragilis and C. perfringens||B||Leptin-receptor deficient mice injected in inner thigh|||
|Infective endocarditis||Catheter-induced IE||Rabbits||S.a||B||High inoculum of bacteria injected intravenously||[164,166]|
|Low-Grade bacteremia model of IE||Rats||L. lactis||B||Low-grade inoculum of bacteria injected intravenously|||
|Chronic otitis media||COM with effusion||Gerbils||H.i, S. pneumoniae||B||Injected percutaneously into the superior posterior chamber of the left middle ear|||
|Chinchilla Model of COM||Chinchillas||H.i, P.a, group A Streptococcus||B||Bacteria is injected bilaterally via a transbullar approach||[183,186]|
|Nonhuman primate model of COM||Cynomolugus macaques||P.a||B||Perforation of the tympanic membrane and inoculation of the middle ear|||
|COM||Rats||P.a||B||Intranasal inoculation using teflon cannula|||
|COM||Mice||S. pneumoniae||CI||Spontaneous OM development in plasminogen deficient mice|||
|Chronic rhinosinusitis||Chronic rhinosinusitis||Rabbits||S. pneumoniae||CI||Hole drilled into the dorsum of nose, cotton wool inserted and inoculated with 10.8 bacteria|||
|Chronic rhinosinusitis||Mice||L. sakei, C. tuberculostearicum||CI||Intranasal inoculation|||
|Experimental rhinosinusitis biofilm model||Sheep||S.a||B||Ostium occluded and bacteria instilled|||
|Dental caries||Experimental caries||Hamsters||S. mutans||CI||Oral inoculation|||
|Model of Cystic Fibrosis||Mice||S. mutans||B||Swabbing the oral cavity of CFTR knock out mice|||
|Model of periodontal disease||Rats||P. gingivalis||B||Topical administration of bacteria|||
|Periodontitis||Oral infection model||Mice||T. denticola, P. gingivalis||CI||Oral inoculation by gavage||[207,223]|
|Experimental periodontitis||Mice||F. nucleatum, P. gingivalis, T. forsythia||B||Oral gavage using a feeding needle||[222,224]|
|Experimental periodontitis||Rabbits||P. gingivalis||B||Oral inoculation||[430,431]|
|Osteomyelitis||Chronic osteomyelitis||Rabbits||S.a||CI||Injection in tibial metaphysis into the intramedullar cavity|||
|Osteomyelitis model of biofilm||Rabbits||S.a||B||Injection in tibial metaphysis into the intramedullar cavity||[231,232]|
|Experimental chronic osteomyelitis||Rats||S.a||CI||Hole is drilled into the medullar cavity, bacteria are injected into the bone|||
|Experimental model of osteomyelitis||Mice||S.a||CI||Bioluminescent strain of S. aureus is inoculated into the femurs of mice|||
|Vascular Catheter||CVC||Rats||S.e, S.a, C.a||B||Catheter tip in superior vena cava through jugular vein, tunneled subcutaneously and exits on the back. Use of restraint jacket||[239,245,432]|
|CVC||Rabbits||S.e, S.a||B||Catheter tip in superior vena cava through jugular vein, tunneled subcutaneously and exits on the back. Use of restraint jacket||[247,252,253]|
|Totally implantable venous access port||Rats||S.a, S.e, P.a, E.c||B||Catheter tip in superior vena cava through jugular vein, tunneled subcutaneously and connected to a subcutaneous port|||
|Urinary tract catheters||Bladder glass bead (surgical)||Rats||E.c||B||Bead colonized by E. coli biofilm surgically inserted in the bladder. Urethra clamped 1h/day to reproduce vesico-ureteral reflux|||
|Bladder pieces of catheter (surgical)||Rats||P.a||B||Surgical insertion of pieces of urinary catheter. Bacterial inoculation is made inside the bladder, after catheter insertion|||
|Bladder pieces of catheter (non surgical)||Rabbits||P.a, P.m||B||Use of urethral catheter and/or metal stylet in order to transurethrally insert pieces of catheter inside the animal bladder||[263,265]|
|Mice||P.a, P.m, E.c, E. faecalis||B||[264,266]|
|Externalized urethral catheter||Rabbits||E.c||B||Urethral catheter inserted and connected to a urine collector via a closed system in order to mimic an externalized system||[269,270,271]|
|Orthopedic implants||Foreign-body in tibia||Rabbits||S.a||B||Silicone rubber catheter inserted into the tibia and associated with sclerosing agent to induce aseptic necrosis||[277,434]|
|Foreign-body in tibia||Rabbits||S.a||B||Titanium cylinder or bone cement inserted into the tibia. Bacterial inoculation up to 4 months after foreign-body placement||[279,435]|
|Electrode inserted in tibia||Rabbits||S.e||B||S. epidermidis is injected inside tibia through a hole. A stainless steel electrode is inserted inside medullar cavity + bone cement|||
|Devascularized bone and metal screws||Rabbits||B||A piece of diaphyseal radial bone is removed. Then, this devascularized bone is replaced inside the wound using metal screws|||
|Spinal device model||Rabbits||S.a||B||Partial laminectomy followed by a wire implantation of the transverse processes of different vertebra (T13, L3, L6)|||
|Titanium wire inside tibia||Rats||S.a||B||Insertion in the medullar canal of a long titanium wire. Before the insertion of the foreign-body, S. aureus inoculum is injected||[282,283]|
|Stainless steel pin inserted through tibia||Mice||S.a||B||Stainless steel pin incubated 20 minutes with bioluminescent S. aureus and then inserted transcortically through mice tibia||[281,438]|
|Bone cement in tibia||Dogs||S.a||B||Removal of a cortical part of tibial metaphysis. Then, polymethylmethacrylate cement and S. aureus are inserted in bone pocket|||
|Cylindrical device in femoral canal||Dogs||S.e, S.a, E.c||B||Cylindrical device (made of stainless steel, cobalt chromium, polyethylene or polymethylmetacrylate) inserted inside femoral canal|||
|Intramedullar nail||Dogs||E.c, P.a||B||Mid-diaphyseal osteotomy and internal fixation with an intramedullar nail inoculated, before fixation, with E. coli and P. aeruginosa|||
|Fracture fixation stainless steel plates||Sheep||S.a||B||Membranes colonized by S. aureus biofilms are positioned on stainless steel plates and drilled on a cortical surface of sheep tibia|||
|Prosthetic joints||Hemiarthroplasty and bone cement||Rabbits||E.c||B||Knee hemiarthroplasty and acrylic bone cement followed by intraarticular E. coli injection|||
|Total knee replacement||Rabbits||S.a||B|||
|Hip stainless steel prosthesis||Rabbits||S.a||B|||
|Silicone-elastomer implant||Rabbits||S.a||B||Partial knees arthroplasty using silicone-elastomer implants. At the end of surgical procedure, S. aureus is injected into the joint|||
|Pin inside femur with the tip in the joint||Mice||S.a||B||Stainless steel pin is inserted inside the femoral canal and the distal end of the pin protrudes inside the joint space|||
|Endotracheal tubes||Ventilated sheep||Sheep||Oral flora||B||Animals are intubated and ventilated for 24 to 96 hours before being sacrificed for endotracheal tubes analysis||[293,297]|
|Ventilated pig with induced pneumonia||Pigs||S.a||B|||
|Vascular grafts||Infrarenal aortic vascular graft||Dogs||S.e||B||Implantation of dacron prosthesis colonized by S. epidermidis on the infrarenal aorta of a dog leading to a prosthetic graft infection||[300,442,443]|
|Infrarenal aortic vascular graft||Pigs||S.a||B||Surgical implantation in the infrarenal abdominal aorta of vascular grafts colonized by S. aureus|||
|Tissue fillers||Breast implants||Pigs||S.e||B||Each pig received up to 6 miniature silicone gel-filled implants into submammary pockets + inoculated with S. epidermidis||[306,307]|
|Contact lenses||Damaged cornea and contact lenses||Mice||Fusarium spp.||B||Fusarium spp. are grown as biofilm on silicone hydrogel contact lenses and mouse cornea are damaged by scratches or abrasion|||
|Dental implants||Titanium screw into hard palate||Rats||A. actinomycetemcomitans||B||Biofilm-inoculated titanium implants transmucosally placed into rat hard palate|||
|Intrabuccal splints and disks||Humans||Oral flora||B||A removable fixation system applied on the mandibular region, inside the mouth of healthy volunteers. On these splints, disks made of various surfaces can be placed to study biofilm formation|||
|Subcutaneous models||Tissue cage||Mice, rats, hamsters, guinea pigs, ponies||S.a, S.e, A. radicidentis||B||Rigid tubes, mostly made of teflon and perforated with holes, sealed at each end, possibly filled with glass bead and usually inserted in the flank of animal. Tissue cage fluid can be collected by percutaneous aspiration||For review: |
|Vascular catheter||Mice, rats, rabbits||S.e, S.a, E.c||B||Insertion of a 1-cm segment of vascular catheter in a subcutaneous space. At the end of the experiment, mice are euthanized, catheter segment is removed, vortexed in order to recover the biofilm||For review: [22,243]|
|Cement disks||Rabbits||E.c||B||Acrylic bone cements shaped like disks and colonized by E. coli biofilm are surgically inserted into subcutaneous pockets on the back|||
|Pacing device||Rabbits||S.e, S. capitis, E. c and A. baumannii||B||Pacing device is inserted in subcutaneous pockets on the back of the animals. Bacterial contamination is made inside the pocket, at the end of the experiment|||
|Fabric to mimic cardiac valves||Guinea pigs, mice, rabbits||S.e, P.a||B||Various types of implants impregnated with antibiotics or not are incubated with a bacterial solution in order to allow biofilm formation. Afterwards, these devices are inserted into subcutaneous pockets||[331,332,334]|
|Vascular grafts||Hamsters, mice, rats||S.e||B||Gore-tex implants colonized by S. epidermidis biofilm are inserted into subcutaneous pockets||[335,336,445]|
|Polyethylene disks||Mice, rabbits||E.c, P.a||B||Subcutaneous implantation of polyethylene disks|||
|Beads||Rats||S.a||B||Polymethylmethacrylate beads loaded or not with various compounds are inserted in subcutaneous space|||
|Surgical mesh||Mice||S.a||B||Insertion of resorbable or non resorbable surgical meshes colonized by S. aureus biofilm inside subcutaneous pockets||[340,341]|
NOTE: B: biofilm, C.a: Candida albicans, CVC: Central venous catheter, CI: chronic infection, COPD: chronic obstructive pulmonary disease, COM: chronic otitis media, CF: cystic fibrosis, E.c: Escherichia coli, H.i: Haemophilus influenzae, IE: Infective endocarditis, K.p: Klebsiella pneumoniae, MRSA: methicillin-resistant S. aureus, MSSA: methicillin-susceptible S. aureus, P.m: Proteus mirabilis, P.a: Pseudomonas aeruginosa, S.a: Staphylococcus aureus, S.e: Staphylococcus epidermidis.
The role of biofilm in the pathophysiology of tissue-associated infection has been increasingly recognized in the past decades (Figure 1). Biofilm may develop after colonization of sterile or non-sterile tissue or mucosa by microorganisms or may take advantage of the prior alteration of resident commensal flora by antibiotics.
5.1. Lung Infections
5.1.1. Cystic Fibrosis (CF) Related Lung Infections
CF disease is the result of a single gene mutation in cystic fibrosis transmembrane conductance regulator (CFTR) leading to a multitude of medical problems amongst which are pancreatic failures, alteration of mucosal secretions and of epithelial innate immune function in the lungs. However, the most challenging aspect of the disease is pulmonary infection that leads to 80–95% of respiratory failure by chronic bacterial infection and airway inflammation [50,51,52]. While previously suggested by Lam et al. and Hoiby et al., who showed the presence of matrix-embedded microcolonies of P. aeruginosa in chronically infected lungs [12,14], confirmation of the role of biofilms was provided by Singh et al., through identification of a specific quorum sensing signal signature .
Animal models used to mimic CF infected lungs can be broadly divided based on the route of infection chosen: intratracheal or intravenous.
Intratracheal route: Cash et al., were the first to describe a rat model to establish P. aeruginosa chronic lung infection, lasting up to 1 month, by immobilizing bacteria in agar beads . This model was later adapted to mice, guinea pigs, cats, monkeys and to other pathogenic agents like S. aureus, Burkholderia cenocepacia and Haemophilus influenzae [54,55,56,57,58,59]. This model depicts human clinical pathologies such as bacterial persistence and airway inflammation . Amongst very recent uses, it successfully evaluated the efficacy of liposomal bismuth-ethanediol loaded tobramycin against P. aeruginosa infection in rat lungs . Another rat model developed by Pedersen et al., used bacteria embedded in seaweed alginate microspheres . Amongst other advances, this model showed the role of Psl and Pel polysaccharides as a scaffold of biofilms formed by mucoid P. aeruginosa phenotype biofilms in mice . In addition, to study pharmacokinetics/dynamics of colistin and imipenem, a neutropenic mouse model of lung biofilm infection was developed .
Intravenous route: Developed by Sawai et al. , this model also makes use of pathogens embedded in agar beads, which are afterwards injected intravenously to mice. Efficiency of several antimicrobials, such as linezolid, quinolones and carbapenems was assessed using this model [66,67].
A relevant infection model of CF should reflect human lung infection characteristics such as airway inflammation and spontaneous bacterial infection progressing to chronic stage with characteristic biofilm formation. An attempt to achieve this was made in 1992 with a CFTR knock out mouse . Though mice did not show spontaneous lung disease, airways inflammation and chronic infection were established, and this model was successfully used to model chronic P. aeruginosa lung infections using agar beads  and to evaluate the efficacy of azithromycin against P. aeruginosa biofilms . The CFTR knockout mice provided important information on the molecular mechanisms explaining the efficacy of azithromycin in clinical trials . Recently, this model was also used to mimic lung co-infections by P. aeruginosa and B. cenocepacia . CFTR knockouts were later translated into pigs (ΔF508/ΔF508) and ferrets. They were used to study S. aureus pathogenesis in CF  and general CF pathology , respectively.
5.1.2. Other Lung Conditions
Chronic obstructive pulmonary disease (COPD) related lung infections: COPD is a progressive lung disease characterized by emphysema, chronic bronchitis and bronchiectasis. The etiological agents of COPD-related airways infection include non-typeable H. influenzae (NTHi), Streptococcus pneumoniae, Moraxella catarrhalis and P. aeruginosa . So far, only one mouse model of COPD-NTHi lung infection has been reported and allowed to demonstrate the presence of persistent multicellular bacterial communities in elastase-damaged lungs and the role of CD54 in NTHi clearance .
Diffuse panbronchiolitis (DPB): DPB is characterized by thickening of bronchiolar walls and is commonly associated with accumulation of lymphocytes, plasma cell and histiocytes . There is large evidence involving bacterial biofilms in DPB [78,79]. To mimic chronic P. aeruginosa DPB infection in the respiratory tract, a murine model was developed in which a small piece of intravenous catheter (tube) precoated with P. aeruginosa was inserted into the mouse trachea . This model was used to study the efficacy of macrolides against chronic in vivo P. aeruginosa infections and the role of inflammatory cytokines and dendritic cells in pathogenesis of DPB [81,82].
5.2. Urinary Tract Infection (UTI)
Urinary tract infections, which include infection of bladder (cystitis) and kidneys (pyelonephritis associated with or without kidney stones) primarily affect women and account for nearly 13 million annual doctor’s visits in the United States alone . Recurrence of UTI is a major concern with 20–30% incidences among adult women. However, elderly and prepubertal children are also susceptible to recurrent and chronic cystitis . Etiology of UTI is dependent on host genetics, biological and behavioral factors and has been largely associated with presence of Escherichia coli (E. coli) (80% cases) and to a lesser extent to Staphylococcus saprophyticus (10–15%) followed by Klebsiella, Enterobacter, Proteus and Enterococcus species [83,85].
Bacterial colonization of the bladder results in a mucosal inflammatory response called cystitis. Uropathogenic E. coli (UPEC) are the most widely studied bacteria . Except for few studies using rats where preventive effect of fosfomycin trometamol (FOF) was evaluated against chronic cystitis , most information on UTI originated from mouse models. In addition to genome availability and repertoire of knockout mutants, mice are naturally susceptible to UPEC strains and experimental infection closely resembles human disease [83,87,88]. Mouse model of cystitis was efficiently used to demonstrate that uropathogenic strains of E. coli and K. pneumoniae exist in biofilm-like large aggregates of bacteria (pods or intracellular bacterial communities, IBC) in the bladder epithelial cells suggesting one possible mechanism of recurrent cystitis [89,90]. These pod-like structures were later shown to exist in human bladder during UTI . Murine pod like structures exhibited resistance to antibiotics and host system [90,91] and were protected against trimethoprim sulfamethoxazole . This model has been successfully used to study the molecular mechanisms involved in IBC formation and virulence of UPEC such as role two-component system QseBC , importance of peptide transport, TCA cycle and gluconeogenesis but not glycolysis . Importantly, this model also highlighted the role of type 1 pilus and its associated tip adhesin, FimH, in IBC formation. Type 1 fimbriae were shown to mediate adherence and invasion of urothelial cells  via FimH affinity for mannosylated urothelium proteins such as uroplakin [95,96,97]. Consistent with the instrumental role of FimH in UPEC bladder colonization, vaccines against FimH as well as FimH specific inhibitors were later shown to be protective or efficient against established infection in murine and/or primate models of acute cystitis [92,98]. These anti-FimH strategies are very promising and clinical studies proving their efficacies are now expected [92,99]. Other prophylactic or curative strategies based on bacterial interference and immune system stimulation with non-adherent asymptomatic bacteriuria strain 83972 were successfully assessed using UTI mouse models and validated in patients [100,101].
Murine studies have also been extensively carried out to confirm the role of innate immune responses in disease outcome and recurrence and highlighted the importance of TLR4 signaling [83,102,103]. Furthermore, CD8+ T cells were reported to play a role in adaptive response to UPEC bladder infections . Murine UTI model led to identification of biomarkers associated with chronic cystitis including elevated serum IL-5 and urine IL-6, G-CSF (Csf2) and KC (CXCL1) [105,106] and more recently the autophagy gene Atg16L1 was shown to play an important role in pathogenesis of UTI .
5.2.2. Chronic Bacterial Prostatitis (CBP)
CBP is a persistent inflammation of the prostrate glands due to bacterial invasion. CBP may account for 5–10% of total prostatitis pathology . First evidence of biofilms from biopsied prostatic tissues confirmed the presence of sparse microcolonies of S. aureus in the prostatic duct walls . The major causative agents are from the Enterobacteriaceae family, like E. coli but also Enterococcus faecalis, Pseudomonads, Staphylococcus species and gonococcal organisms [108,110,111,112]. The capacity of these bacteria to form biofilms containing antibiotic persistent bacteria explains recurrent CBP [111,113,114]. The rat model has been extensively used to demonstrate the importance of virulence factors or quorum sensing systems in CBP [115,116,117]. This model was also used to evaluate therapeutic strategies against E. coli-induced CBP using catechin, ciprofloxacin, or cranberry [118,119] as well as the potential of selenium in combination with ciprofloxacin .
5.2.3. Other UTI
Infectious urinary stones/calculi or Struvites: Persistent infections caused by urease producing bacteria may lead to rapidly growing infectious stones within 4–6 weeks [120,121]. Initial clues of biofilm involvement in infectious stones date back to 1971 when Nemoy et al., showed the presence of antibiotic resistant bacteria embedded in stone resulted in recurrent urinary infections . The first hypothesis that such antibiotic resistance was due to bacteria growing within glycocalyx matrix of biofilms  was later confirmed by scanning electron microscopy and transmission electron microscopy . The most common urease producers involved in infectious stones are: Proteus spp., Ureaplasma spp., Pseudomonas spp., Klebsiella spp., and Staphylococcus species . Moreover, Oxalobacter formigenes and Lactobacillus were also suggested to cause nephrolithiasis [125,126]. Rat is the most widely utilized animal to develop experimental infectious stones and most of the studies were performed with Proteus mirabilis and Ureaplasma urealyticum [127,128,129]. Using a foreign body such as zinc or chalk to develop bladder stones helped understanding the kinetics of stone formation and the role of P. mirabilis biofilms in this process [129,130]. This type of infectious urolithiasis rat model was also used to study therapeutic strategies against polymicrobial (P. mirabilis, P. aeruginosa and E. faecalis) stone infection .
Pyelonephritis: Once bacteria enter the kidney, they adhere to the urothelium and papillae to form biofilm-like structures . While numerous models of acute pyelonephritis have been developed, the presence of biofilms was demonstrated solely for P. mirabilis biofilms on the rat urothelium .
5.3. Digestive Infections
5.3.1. Intestinal Infections
The human gastrointestinal tract is covered by a biofilm of commensal bacteria that form independent communities depending on the colonized niches [132,133]. Similarly, biofilms were shown to colonize the mucus layers of large intestine of other animals such as baboons, rats and mice [134,135]. The gut biofilm is shaped by different factors, both environmental and specific to the host . Alterations of the flora equilibrium might lead directly to pathology, altered physiological and immunological states due to changes in the functional microbial core. Gut diseases can be separated in two groups: acute diseases such as diarrhea that are generally due to a pathogenic bacteria displacing the commensal flora and impacting directly on intestinal epithelial cells, and chronic diseases such as inflammatory bowel disease, commonly named IBD, a group of inflammatory conditions of the colon and the small intestine that can evolve to colorectal cancer and that have been partly linked with a microbial imbalance of the gut commensal flora (dysbiosis) . The streptomycin-treated mouse model of intestinal colonization developed long ago [138,139] has been extensively used to study both virulence factors and hosts components involved in intestinal colonization (see for example ). In addition, infectious colitis models of gnotobiotic mice or conventional mice colonized by their natural pathogens such as Citrobacter rodentium have been used [141,142].
5.3.2. Gall Bladder Infections
Salmonella enterica serovar Typhi is the causal organism of typhoid fever and is amongst the best-studied gut bacteria. Inability of antibiotics to resolve the Salmonella Typhi colonization of the gall bladder indicated the role biofilm in this chronic disease [143,144]. A mouse model of chronic Salmonella infections was developed by Sukupolvi S et al.  and was later used to analyze chronic infections that persisted for 1 year following oral infection . Crawford RW et al., (2010) recently developed another mouse model of enhanced S. Typhimurium colonization of gall bladder tissue, which allowed visualization through electron microscopy of a dense biofilm covering more than 50% of gallstone surface .
5.4. Wounds Infections
Despite the controversial role of biofilms in delayed wound healing, it is now well accepted that wounds are colonized by biofilms as confirmed by SEM and other molecular techniques [148,149,150,151]. The most commonly studied microorganisms associated with wounds infections are S. aureus and P. aeruginosa. Several animal models of traumatic wounds including skin abrasions, burns, lacerations, surgical and excisional wounds or open fractures have been published. Dai et al., developed a needle scratch mouse model in which they used genetically engineered bioluminescent S. aureus to study biofilm formation and the use of photodynamic therapy . Several burn models have been developed [150,153], amongst which is a mouse model that allowed the visualization of P. aeruginosa biofilms infection in a third degree lesion using PNA-FISH (Figure 3) .
Besides, other animal models were developed to study the involvement of different bacteria, such as S. aureus, S. epidermidis, P. aeruginosa and E. coli in excisional wound infections and allowed to (i) show the infiltration of inflammatory cells within S. aureus clusters, (ii) confirm the presence of “membrane like structures” by electron microscopy (iii) reveal the important role neutrophils play in host defense and (iv) assess bacterial susceptibility to antibiotic therapy . In addition, a cutaneous porcine wound model allowed the evaluation of topical antimicrobial treatment of S. aureus biofilms . In vivo murine models also allowed deciphering the effect of RNAIII-inhibiting peptide (RIP, a quorum sensing inhibitor) in combination with teicoplanin against methicillin-resistant S. aureus  and to directly correlate P. aeruginosa autoinducer with tissue destruction and inflammatory response using pressure-induced ischemic wound model in rats . Diabetic patients are especially prone to develop problematic wound infections that are colonized by several species of microbes forming complex multispecies biofilms of up to 1600 different microorganisms [149,160]. Although animal models are scarce, a leptin receptor-deficient mice model was developed to study synergistic effects between E. coli, Bacteroides fragilis and Clostridium perfringens in type 2 diabetes foot wounds .
In the early 70s, in order to study infective endocarditis (IE), or the infection of heart inner lining, experimental models using rabbits, rats, pigs and cats were developed. However, the fact that progression of IE is due to biofilm establishment was demonstrated in the early 2000s [162,163]. Although, several microorganims have been associated with IE, including streptococci, staphylococci, and Candida [164,165], S. aureus is the major cause of endocarditis and thus, has been extensively studied in experimental IE. Rabbit endocarditis model has been used to decipher genetics of S. aureus biofilms in vivo, for instance, the positive modulation of the alpha-toxin gene (hla) by agr, sarA and sae, three major S. aureus global regulators . In addition, the rabbit model allowed the study of streptococcal endocarditis confirming the presence of a biofilm structure by electron microscopy (Figure 4) [167,168]. A rat model of IE was also developed wherein endocarditis was induced by continuous low-grade bacteremia mimicking spontaneous bacteremia in humans . This model was later used to highlight the role of S. aureus adhesion to fibrinogen and fibronectin, as well as platelet aggregation, in the initiation of in vivo IE . Several other animal studies have been performed to evaluate the efficiency of single or combination therapies against IE with oritavancin, vancomycin, gentamicin, daptomycin or ceftobiprole [171,172,173].
5.6. Ear, Nose, Throat Infections
5.6.1. Chronic Otitis Media (OM)
OM is the infection of middle ear leading to inflammation and is one of the most common diseases affecting children. First evidence of biofilm involvement was confirmed by direct detection in mucosa samples recovered from middle ears of children with chronic and recurrent OM . Three major pathogenic agents of OM, S. pneumoniae, nontypeable H. influenzae (NTHI) and M. catarrhalis formed biofilms in vivo . The most commonly used models for OM are chinchilla, mouse and rats [176,177,178]. The first chinchilla model was developed in 1976 using S. pneumoniae and was later used to study pathogenesis, immune response, efficacy of antimicrobials against S. pneumoniae and vaccine candidates [179,180,181]. Chinchilla has several advantages such as long life span of 15 years, strong ear anatomical similarity to humans, intact organ systems and immune functions, presence of large cephaloid bulla that make sampling easier and sufficient [176,182]. Moreover, this model enables direct visualization of biofilm development on the middle ear mucosa by CLSM [183,184]. Amongst other reports, this model showed that group A streptococcus (GAS) biofilms are inhibited in absence of virulence regulator Srv  and that c-di-GMP improves persistence of P. aeruginosa biofilms in chronic supportive OM .
Murine models of OM have also contributed to better understanding virulence factors, bacterial adhesion, invasion mechanisms, and general or specific inflammatory responses [178,187]. For instance, the use of Swiss-webster mice highlighted the role of pneumococcal proteins PavA, UspA or (Usp) A2 in adhesion [188,189].
In order to study long-term chronic OM, several models were adapted, for example, the primate model in cyanomolgus macaques to study the P. aeruginosa biofilms , a rat model that allowed follow up of S. pneumoniae up to 7 months  or plasminogen (plg)-deficient mice to study spontaneous development of chronic OM with varying inflammatory responses over a period of 18 weeks .
5.6.2. Chronic Rhinosinusitis (CRS)
Chronic rhinosinusitis is the inflammation of paranasal sinuses, mainly due to bacterial invasion, typically of S. aureus, CoNS (coagulase negative staphylococci), P. aeruginosa, S. pneumoniae or H. influenzae. Several clinical studies demonstrated biofilm morphology in mucous samples from human CRS [193,194]. The most common CRS model is rabbit which allows animals monitoring up to 9 months for signs of inflammation [195,196] but mouse and sheep models have also been developed [197,198,199].
5.7. Dental Biofilms
5.7.1. Dental Caries
The main factors governing the virulence of the dental caries pathogenicity are extracellular polysaccharide (EPS) matrix and acidified plaque milieu . Several models have been developed to study the cariogenic biofilms, amongst which, the most widely used is the rodent model of cariogenesis using streptococci. It has enabled us to define the infectious character of the disease, role of different genes in cariogenic process and the effect of salivary proteins in plaque formation [204,205,206]. Topical administration of bacteria to study dental plaques has been carried out in Sprague Dawley rats and there is evidence of different outcomes in host response depending on genetic background of rats [207,208]. Furthermore, this model has been used to evaluate antimicrobials against dental plaques [209,210].
Periodontitis, or destruction of periodontium structure, is due to the presence of pathogenic biofilms on the gingival and periodontal tissues resulting in heightened inflammatory response. It involves both innate and acquired immunity [211,212]. The major pathogens causing supra and subgingival biofilms are Gram-negative anaerobes such as Porphyromonas gingivalis, Treponema denticola and Tannerella forsythia, referred to in humans as “red complex” . Many models of periodontitis have been developed using primates, dogs, rodents, rabbits, pigs and ferrets [214,215]. Nevertheless, the use of superior mammals has ethical, handling, housing and expense related issues [216,217,218]. Thus, their use should be confined to preclinical studies. Rodents have dental gingival area similar to humans , and periodontitis disease was also shown to induce bone loss in these animals [220,221]. Hence, use of rodents is relevant to study microbiological and immunological aspects associated with periodontitis [212,222]. For example, it has been shown that T. denticola persisted in a mice gavage model up to 71 days and significantly reduced IL10  whereas P. gingivalis could be detected up to 11 weeks with migration of monocytes and neutrophils in gingival connective tissues . Several studies in rodents have also addressed synergistic effects of such polymicrobial infections in periodontitis outcome [200,222,224]. Finally, an experimental rabbit model was used to evaluate efficiency of different anti-inflammatory molecules and antimicrobials such as resolvins, protectins, lipoxins in periodontitis induced by P. gingivalis .
5.8. Other Biofilm-Related Infections
Osteomyelitis, or the infection of the bones or bone marrow, is a frequent complication associated with open fractures . Direct scanning electron microscopy confirmed the presence of bacterial biofilms in osteomyelitic bone samples [227,228]. Since the first study in 1941 of S. aureus chronic osteomyelitis in tibia , the rabbit model has been widely used to study chronic bone infection. This has allowed to identify proteins involved in S. aureus biofilm development in bones, and to evaluate the effect of various antimicrobials [230,231,232]. In another study, an experimental rat model of MRSA osteomyelitis was used to demonstrate the superiority of fosfomycin over daptomycin in treating osteomyelitis . More recently, a non-invasive mouse model using bioluminescence allowed monitoring of chronic femur S. aureus infection up to 21 days .
6. In vivo Models of Device-Related Infections
The first evidence of the involvement of biofilm in device-related infections was provided in 1982 with electron microscopy study of a pacemaker implanted in a patient with recurrent S. aureus bloodstream infection . Since then, almost all types of indwelling devices have been associated with the occurrence of bacterial or fungal biofilms (Figure 1) . Because of a high tolerance towards antibiotics, these device-related infections are difficult to treat and expose patients to the risk of recurrence . As the role of biofilm has been increasingly recognized, many in vivo models of device-related infections have been developed to validate in vitro data regarding mechanisticquestions, as well as to assess the preventive or curative approaches specifically targeting biofilm lifestyles [237,238,239,240] (Table 3).
In vivo models of device-related infections can be broadly divided in two groups. On the one hand, the foreign-body is inserted in the organ or in the same position as it is used in clinics. Examples of these “site-specific models” are intravascular catheter models or intrafemoral pins or wires. On the other hand, the foreign-body is inserted in a subcutaneous pocket so that there is no contact with a specific structure or organ, therefore defining the “subcutaneous models” such as tissue cage model or subcutaneously inserted pieces of catheters.
6.1. Site-Specific Models
6.1.1. Vascular Catheters
During an outbreak of catheter-related infections, the observation that S. epidermidis was able to produce extracellular matrix (in the past called “slime”) and adhere to surfaces identified the importance of biofilm in this setting [241,242]. First attempts to set-up in vivo models relied on the subcutaneous implantation of catheter cut in pieces (see the “subcutaneous models” section) . Even though this approach helped understanding mechanisms involved in S. epidermidis biofilm formation, these models lacked several important features of catheter-related infections such as interaction with blood components or blood flow . These limitations led to considerable efforts to develop in vivo models integrating these aspects.
The most popular intravascular venous catheter model developed to study bacterial colonization and subsequent infection was described in 1999 using a silastic catheter inserted into the superior vena cava of adult rats . The rat model has been used to validate the in vivo importance of polysaccharide intercellular adhesin (PIA) and autolysin AtlE in the establishment of a S. epidermidis biofilm and in its pathogenesis (bloodstream infection and metastatic disease) [239,244]. This model allowed assessing preventive approaches, such as use of RNAIII-inhibiting peptide (RIP)  or vaccination with immunization of rats prior to catheter insertion leading to a protective effect towards bacterial colonization of the device by S. aureus or S. epidermidis . Other animals such as rabbits or mice have also been used to develop such central venous catheter (CVC) models with similar surgical procedures [247,248].
Attempts to eradicate in vivo biofilms have been made using antibiotic lock technique/therapy (ALT). In this treatment, a highly concentrated antibiotic solution is allowed to dwell for 12 to 24 hours inside the lumen of a catheter. Conclusions of the different studies are difficult to compare as different authors used various compounds, concentrations and time of treatment. It was demonstrated that against S. aureus, quinupristin-dalfopristin, linezolid, vancomycin, and ciprofloxacin dwelling for 1 hour were able to reduce the amount of survival CFU in blood and on catheter tip but none of them eradicated biofilm, suggesting the importance of a longer dwelling time . ALT composed of daptomycin associated with systemic treatment was also assessed in order to eradicate S. aureus and S. epidermidis catheter-related infections using polyurethane CVC: vancomycin and daptomycin were equally efficient against methicillin-resistant S. epidermidis (MRSE) infection . A rabbit CVC model allowed researchers to demonstrate that heparin had no effect and that it did not improve the efficacy of vancomycin or ciprofloxacin ALT on S. aureus biofilm . Later, the same group compared linezolid, vancomycin, gentamicin and ciprofloxacin antibiotic solutions as ALT against S. aureus biofilm. In this model, gentamicin (40 mg/mL) was the most efficient drug against methicillin-susceptible S. aureus (MSSA) and methicillin-resistant S. aureus (MRSA) . In addition, association of minocycline-EDTA as lock therapy has been shown to efficiently reduce the number of rabbits with positive blood cultures and in eradicating biofilm on the catheter tip . All these data have been used to design clinical studies and some of these compounds are now used in clinics [254,255].
Recently, we developed an in vivo model of totally implantable venous access port (TIVAP)-related infection to study long-term biofilms (Figure 5) . TIVAPs are used for antineoplastic chemotherapy, parenteral nutrition or blood products in humans. These devices are composed of a vascular catheter inserted into the external jugular vein of a rat connected to subcutaneous port. This model does not require the use of a restraint jacket and use of bioluminescent strains allows long-term non-invasive monitoring of biofilm formation. We used this model to demonstrate the ability of an association of gentamicin and tetrasodium EDTA to eradicate 3-day old biofilm of S. epidermidis, S. aureus (MRSA or MSSA), P. aeruginosa and E. coli . A clinical study can now be set-up, based on these data.
6.1.2. Urinary Catheters
The observation that systemic antibiotic failed to eradicate bacteriuria without removal of the urinary tract device was made decades ago . In 1985, the electron microscopic study of a urethral catheter removed due to relapsing catheter associated urinary tract infection (CAUTI) revealed the presence of a bacterial biofilm . Since then, many in vivo models have been developed in order to mimic these situations. Most of them rely on the insertion of a foreign-body inside the bladder and may or may not include a surgical procedure. Therefore, urinary catheter-associated models can be classified in 3 groups: (i) and (ii) foreign-body left inside the bladder with or without a surgical procedure; (iii) a complete urinary catheter with a tip located inside the bladder, associated with a urine collection system and exiting through urethra.
(i) Surgical models. These models rely on the surgical insertion of a foreign-body inside an animal bladder such as glass beads  or pieces of urinary catheter . They allowed the study the effect of persistent bladder colonization on renal scaring  but also to assess different therapeutic strategies [260,261]. First develop in rats, the same model was later adapted in mice to demonstrate the use of mannitol as an adjuvant to gentamicin to eradicate biofilm persisters of E. coli, which can be a promising clinical candidate .
(ii) Non-surgical models. The principle of these models is to transurethrally insert pieces of catheter inside the animal bladder . These models have been developed in rats, rabbits and mice to study several aspects of CAUTI such as bladder inflammation , virulence of E. faecalis on a silicone implant  or preventive approaches such as Triclosan® (a broad spectrum antiseptic) . Various curative treatments have been assessed in these models, such as antibiotics alone  or in the association with small molecules (like mannosides) to prevent CAUTI . This adjuvant approach still needs to be validated in clinic.
(iii) Models of externalized urinary catheters. In order to mimic a complete urinary catheter with an externalized system, urethral models were developed in rabbits and sheep and used to study the effect of systemic antibiotics on viable cell count or biofilm structure on the catheter tip [268,269]. Preventive approaches have also been assessed such as antiseptic-coated catheters like Gendine  or Low-Energy Surface Acoustic Waves . Another approach was developed using a sheep model to study iontophoresis as a preventive measure . In this model, urethral catheters are modified in order to deliver a current to electrodes located on the catheter tip leading to the production of ions of soluble salts and allowing the formation of local biocide. After 20 to 21 days, this approach significantly reduced bacterial burden in urine.
Even though all these models identified promising compounds, clinical studies remain rare or gave negative results such as a recent clinical study using antibiotic-coated catheters without any significant clinical benefit .
6.1.3. Orthopedic Implants and Prosthetic Joints
First reported work trying to reproduce osteomyelitis in rabbits was published as early as 1885 . In early 70’s, it was shown that the presence of a foreign-body inserted into a rabbit tibia (stainless steel pin) could potentiate the development of chronic S. aureus osteomyelitis . Interestingly, it is only ten years later that the link between biofilm formation and orthopedic devices was confirmed in clinics and using a rabbit model of foreign-body inserted inside the tibia [276,277]. Even though rabbits have been frequently used for these studies, orthopedic implant models have been developed in many other animals with a wide range of foreign-bodies and sites of insertion (see Table 3). These models allowed the study of the influence of various types of materials such as stainless steel, titanium, cobalt chromium, polyethylene or polymethylmetacrylate on bacterial adhesion [278,279]. It has also been demonstrated that bone devascularization, presence of foreign-body and bacterial virulence played a key role in the incidence of osteomyelitis . Moreover, the impact of adaptive immune responses was studied to show that Th2/Treg responses played a key protective role against chronic S. aureus implant infection . Besides, preventive approaches have been assessed, such as use of gentamicin for systemic and local treatment or as a coating of the device [282,283]. Lastly, different models have been developed to study antibiotic-impregnated cement or implants . Promising results were obtained using gentamicin-coated nails in the tibia in a clinical pilot study .
Even though osteomyelitis and prosthetic joint infections (PJI) share common features, different animal models have been developed in order to assess specific characteristics of PJI. These models allowed to study diagnostic procedures such as magnetic resonance imaging (MRI) modification after S. aureus PJI  as well as preventive approaches like gentamicin-loaded bone cement for prevention of E. coli PJI  or prevention of S. aureus PJI after bloodstream infection . Another preventive approach relying on a minocycline/rifampin-impregnated bioresorbable polymer implant coating has been shown to reduce biofilm formation . Another key contribution of these models is the study of distribution and efficacy of frequently used antibiotics such as fluoroquinolones .
6.1.4. Endotracheal Tubes
Biofilm formation in endotracheal tubes was described in 1989  and it is now considered that they can constitute a potential source of ventilator-associated pneumonia (VAP) that can escape antibiotics in case of systemic treatment . Animal models using sheep, pigs or dogs have been developed. They rely on the orotracheal intubation of animals with endotracheal tubes and mechanical ventilation for 24 to 96 hours and have been used to study preventive or curative strategies (see Figure 6) [293,294,295]. These models have, for example, been used to demonstrate the effectiveness of endotracheal tubes coated with silver-sulfadiazine/chlorhexidine in polyurethane or silver hydrogel coating to reduce bacterial colonization [293,295]. These data enabled the performance of a clinical study demonstrating that this approach significantly reduced the incidence of VAP in clinics . This model was later used to show that a mechanical removal of biofilm from the surface of endotracheal tubes prolonged the bactericidal activity of such coated devices. This approach called “mucus shaver” allows the retention of the device in place and biofilm removal from its surface . This mucus shaver procedure was assessed in a pilot study including 12 patients in each group and allowed a significant reduction of the number of endotracheal tubes colonized with biofilm .
6.1.5. Vascular Grafts
Identification of involvement of biofilm in the occurrence of vascular graft-related infection was made at the end of the 80’s . Such graft-related infection was later studied in a dog model to develop diagnostic or surgical procedures . This model relied on the implantation of dacron prosthesis colonized by S. epidermidis on the infrarenal aorta of a dog leading to the development of a prosthetic vascular graft infection (PVGI). This model was notably used to study the effectiveness of rifampicin-bonded gelatin-impregnated grafts in reducing the number of animals with persistent biofilm colonization . Another group confirmed that rifampicin-soaked silver-coated polyester (RSSCP) was more efficient than expanded polytetrafluoroethylene (ePTFE) graft replacements, in the treatment of aortic PVGI porcine model . This model was also adapted in miniature pigs to demonstrate that Dacron graft bonded with chlorhexidine, rifampicin, and minocycline was a good candidate for the prevention of S. aureus related infections . First clinical studies using antibiotic-impregnated grafts gave promising results in humans but still need to be confirmed by comparative trials .
6.1.6. Tissue Fillers
In 1992, study of removed silicone devices, such as mammary implants or tissue expanders led to the identification of bacterial biofilm on the surface of these foreign-bodies . The development of biofilms was associated with the occurrence of capsular contraction, a late complication of such foreign-bodies. A porcine model has been used to study biofilm formation on the surface of breast implants [306,307]. Implants were inserted with or without a circular disk of minocycline-rifampicin-impregnated polypropylene mesh and left in place for 16 weeks . This preventive approach reduced the incidence of capsular contracture and biofilm formation.
6.1.7. Contact Lenses
Identification of contact lens as a suitable surface for bacterial adhesion and biofilm formation was made at the end of 80s . Biofilm colonization has also been demonstrated to be associated with the occurrence of corneal ulceration . Several animal models have been developed to study contact lenses tolerance or the influence of bacterial inoculation on the incidence of keratitis such as rabbit model or guinea pig model . While these models have never been used to specifically address questions regarding bacterial biofilms, a specific mouse model has been developed in 2010 in order to study fungal biofilms on contact lenses and its link to keratitis .
6.1.8. Dental Implants
Confocal laser scanning microscopic studies of oral implants confirmed that biofilm was present with a structure close to what is seen in dental plaque . It has also been shown that the development of these dental implant-related biofilms could play a role in periimplant infections (also called periimplantitis) and progressive bone loss around the implant. The first animal model of dental implant-associated infections was developed in 1992 involving the replacement of mandibular right premolars by complete titanium implants . In this model, mucosal lesions around implant-associated plaque or teeth-associated plaque were comparable but bacterial biofilm per se has not been studied . However, a rat model has been developed to specifically study the effect of Aggregatibacter actinomycetemcomitans biofilm .
Aside from these animal models, different groups developed human models. All these human models rely on the positioning of a fixation system applied on the mandibular region, inside the mouth of healthy volunteers on which disks made of various surfaces can be placed. For instance, this approach has been used to study the impact of surface roughness on plaque colonization of titanium device . Another group used this approach to demonstrate that bacterial adhesion on implant surfaces was significantly lower with zirconium oxide surface as compared with pure titanium .
6.2. Subcutaneous Foreign-Body Models
6.2.1. Tissue Cage
These models were developed in the early 80’s to mimic a foreign-body-related infection . These cages consist in rigid tubes with perforations and sealed at each end. These devices can be implanted in mice, rats, hamsters, guinea pigs  and ponies. Bacterial contamination can be made before or after tissue cage insertion by a percutaneous injection inside the tissue cage. This model has been used to study different aspects ranging from the influence of host immune response to the effectiveness of different treatments . For instance, the efficacy of adjunction of rifampicin in treatment regimen was suggested in tissue cage models before being confirmed in clinical studies . Fosfomycin and daptomycin are currently being investigated and could be promising candidates against foreign-body-related infections . For an extensive review of these models, see [22,320].
6.2.2. Vascular Catheters
This model has mostly been developed using mice and involves the insertion of a 1-cm segment of vascular catheter under the skin, in a subcutaneous space . The biomaterial can be contaminated by bacteria before or after the surgical procedure and various biomaterials have been used including Teflon®, polyurethane, silastic, latex, dacron, Gortex® . This model was, for example, used to study the importance of staphylococcal accessory regulator (sarA) and ica for S. aureus in vivo biofilm formation . Another group recently demonstrated that there was a reduction in cytokine production during biofilm formation and limited macrophage invasion into S. aureus biofilms in vivo . This model can be used to assess therapeutic options in order to mimic ALT with the injection of antibiotic inside the lumen of subcutaneous catheters . Preventive approaches can also be assessed like the use of cerium nitrate, chitosan and hamamelitannin to prevent the formation of biofilm of S. epidermidis, S. aureus, Acinetobacter baumannii or C. albicans . Many authors use bioluminescent variants of bacteria to follow colonization non-invasively . Using a rabbit model of subcutaneous catheters, minocycline and rifampin coating prevented the colonization by S. aureus , which later was demonstrated to be more efficient than chlorhexidine+silver sulfadiazine coated vascular catheters in a human clinical trial . Other vascular catheter coatings have been studied such as triclosan and dispersin B (an antibiofilm enzyme) to prevent S. aureus colonization .
6.2.3. Other Subcutaneous Models
Bone cement. A study comparing two commercial acrylic bone cements shaped like a disk demonstrated that association of gentamicin-loaded cement and pulsed ultrasound reduced by 50% the number of viable bacteria recovered from the surface of the implant after sacrifice .
Pacing device. A rabbit model has been developed to study biofilm formation on the surface of a pacing device, which demonstrated that the use of a mesh envelope incorporating minocycline and rifampicin around the device prevented biofilm formation of S. epidermidis, S. capitis, E. coli and A. baumannii .
Cardiac valves. To study cardiac valve-related infections, in vivo models were developed in guinea pigs , mice  and rabbits . This type of studies focused on the use of silver-coated polyester fabric  or minocycline/rifampin coated sewing cuffs to prevent bacterial colonization and infection .
Vascular grafts. Different models were developed in hamster , mice and rats . These models have been used to study preventive approaches such as antibiotic bonded grafts or vancomycin delivered from glycerylmonostearate (GMS) implants . Different curative approaches have been studied using these models including intraabscess urokinase associated with systemic gentamicin  or quorum-sensing inhibitor FS3-coated vascular graft associated with daptomycin .
Polyethylene disks. Subcutaneous implantation of polyethylene disks in mice or rabbits showed promising effects of ultrasound combined with systemic gentamicin against E. coli .
Beads. Polymethylmethacrylate beads loaded with or without the quorum-sensing inhibitor RIP associated with or without vancomycin were inserted in subcutaneous space of rats. This approach efficiently prevented S. aureus biofilm formation .
Surgical meshes. This model involves the insertion of resorbable or non resorbable surgical meshes colonized by S. aureus biofilm inside subcutaneous pockets . While biofilm persisted around non-degradable meshes up to 28 days, bacteria disappeared from surrounding tissues in case of degradable mesh .
7. Take-Home Messages and Future Directions
7.1. Pitfalls of in vivo Biofilm-Related Infection Models
As discussed in this review, use of numerous in vitro and in vivo models in the last twenty years has provided massive information on most human biofilm-related infections, even though models dedicated to some biofilm-related infections are missing (see Table 4). Numerous in vivo models have been developed for each infectious disease to address specific questions regarding initial adhesion, assessment of different surfaces, preventive or curative approaches, as illustrated by the large number of models used to study CVC-related infections [243,248,256]. Therefore, there is no “gold-standard” as each model may provide an answer to a specific question, depending on host immune system, size or surface of the device and environment. These multiple models provide researchers with a myriad of options in order to choose the more appropriate model that will answer the biological question raised. However, a concerted effort is needed to standardize studies using identical models (in term of animal lineages, route and dose of inoculation, etc.) so that scientists using the same model can compare their results. For instance, among studies dealing with ALT for CVC-related infections, several drugs were studied at different concentrations or dwelling times, therefore, impeding any comparisons between results [249,251,252]. In other fields, scientists have proposed guidelines to standardize assays and their interpretation in order to homogenize their results (see for instance ). Such an effort should be made in in vivo modeling of biofilm-related infections.
|Type of biofilm-related infection||Animal model for the disease (References)||Implication of biofilms in clinics (References)|
|Keratitis||Yes ||Yes |
|Endophthalmitis||Yes ||Yes |
|Chronic tonsillitis||Yes ||Yes |
|Chronic laryngitis||No||Yes |
|Bacterial Vaginosis||Yes ||Yes, reviewed |
|Meningitidis||Yes ||Yes, discussed and reviewed in |
|Cochlear implants||No||Yes |
|Voice prosthesis||No||Yes |
|Neurological devices||No||Yes, reviewed in |
|Penile prosthesis||No||Yes, reviewed in |
|Biliary stent||Yes ||Yes |
Furthermore, many concerns have been raised regarding the scarce translation from in vitro and in vivo models to clinical studies . This drawback is not limited to the field of microbiology but probably reflects limitations of in vivo studies . First, obviously, differences exist between humans and animals used for in vivo studies, especially response towards microorganisms or their components. A striking example of the latter is the difference between human and murine sensitivity to LPS that may distort conclusions of studies relying only on this model . Secondly, the choice of animal for in vivo studies is frequently based on experimental convenience and rarely include environmental factors that have been shown to have important influence on the outcome of an infection . The same can be argued for the choice of bacterial strains that may not be representative of the natural setting. One well-known example is the use of non-mucoid PAO1 P. aeruginosa laboratory strain that causes acute types of infection, which are not representative of the clinical symptoms in CF chronic infection. Lastly, as for other in vivo studies, rigorous statistical analysis and experimental set-up are mandatory in order to avoid any false positive interpretation . One can foresee that recent publication of new guidelines for reporting animal research will improve quality of experimental in vivo models [346,348].
7.2. Under-Developed Aspects of Biofilm-Related Infections
7.2.1. Synergy between Biofilm Tolerance and Resistance Genes and Their Impact on Nosocomial Infections
One major challenge of biofilm research is to understand and tackle the increased tolerance of biofilms towards antimicrobial agents including antibiotics . This ability to endure high concentration of antibiotics complicates treatment of biofilm-related infections and is a threat that is enhanced by microorganisms carrying resistance genes such as extended spectrum β-lactamase (ESBL) or methicillin-resistance. Increased frequency of horizontal transfers such as conjugation, transformation or transduction has been demonstrated in vitro within biofilms . Hence, biofilms may also be expected to facilitate the transfer of resistance genes as demonstrated in an in vitro study with an increased rate of transfer of a plasmid encoding CTX-M-15 (an ESBL) in a K. pneumoniae biofilm as compared to planktonic conditions . Interestingly, many transmissible DNA elements encode biofilm promoting factors including various adhesins such as conjugative pili, fimbriae or autotransporter adhesins and persistence genes such as toxin/anti-toxin modules. This, therefore somehow promotes their own transfer by means of their capacity to increase biofilm formation or antibiotic tolerance. Additionally, these phenomenon may be favored by architecture of biofilms in which antibiotics reach certain areas of biofilms only at sub-inhibitory concentrations that are known to increase (i) the likelihood of selecting resistant mutants; (ii) rate of mutations; (iii) biofilm formation and (iv) gene transfer [351,352,353].
The possible interplay between biofilm tolerance, gene transfer and spread of resistance can be of key-importance in nosocomial settings but remains to be demonstrated in clinical settings or even in a relevant in vivo model of biofilm-related infections. Therefore, establishing in vivo models allowing the study of mechanisms developed by biofilm bacteria to survive antibiotics is a major challenge that should be met in the coming years.
7.2.2. A Switch towards Models to Study Biofilm Polymicrobial Infections?
While environmental biofilms are known to be composed of multiple species, the concept and demonstration that human infections can arise in the context of polymicrobial biofilms has been overlooked until recently. Koch’s postulates associating one microorganism with one disease as well as the extensive use of culture-dependent isolation techniques have for long time masked the possibility that the nature of the flora among which the pathogenic bacteria are embedded can strongly influence its behavior and the infection outcome. Today, due to the advent of culture-independent methodologies, many tissue infectious diseases are likely associated with the presence of multiple microorganisms like otitis media, oral cavity diseases, vaginosis, wound infections and CF lung infections . The formal demonstration of the existence of polymicrobial biofilms and their link to infection is still a matter of debate (see the reviews [354,355]). Nevertheless, several studies allowed direct visualization of polymicrobial biofilms in patients. For instance, electron microscopy studies of biofilm in chronic wounds demonstrated the presence of biofilm composed of bacteria of various morphotypes (rods and cocci) . This diversity was confirmed using molecular biology tools. Specific FISH probes were also used to show that some biofilms in chronic otitis media are composed of H. influenzae and S. pneumoniae . Interestingly, analyses of the flora comprising biofilms responsible for catheter associated infections like CAUTI or catheter-related bloodstream infections (CRBSI) also demonstrated the presence of multiple species [356,357]. It is therefore suspected that a large part of biofilm-related infections might be indeed linked to the presence of polymicrobial biofilms. Until now, several well-suited in vitro models to characterize interactions between species have been developed especially using microorganisms colonizing the oral cavity, the intestine or wound infections (see, for example [25,358,359]). Surrogate non-mammalian animal models are also used to study such polymicrobial interactions within biofilms. For instance, the behavior of P. aeruginosa in presence of other bacteria such as S. aureus and that of A. actinomycetemcomitans in presence of S. gordonii was analyzed using D. melanogaster [359,360]. While relatively few, several studies of polymicrobial infections using in vivo mammalian models have been conducted recently using otitis media, wound, UTI or CF lung models [72,360,361,362,363]. Although these studies were performed with different models and microorganisms, they showed that the colonization, infection and host response was totally different depending on single or multiple species infections with notably an increased ability to colonize or cause host damages/inflammation in co-infections. These promising results urge for rapid implementation of studies aiming not only to analyze the possible polymicrobial status of still unstudied biofilm-related infections but also focusing on development of specific polymicrobial biofilm models. These future studies will certainly help to elucidate molecular mechanisms of bacterial interactions that would ultimately lead to the potential identification of molecules or vaccines that can target polymicrobial biofilms.
7.2.3. What Can We Expect from Systems Biology, Computational Biology, Ecology or Experimental Evolution?
Until now, studies of polymicrobial infections using in vivo mammalian models remain scarce probably due to the increased complexity to develop such experimental models and the difficulty to interpret results coming both from interactions between the microorganisms and the hosts, and between microorganisms themselves. Significant progress in this area could be made by integrating new concepts and approaches to understand better the ecology of infectious diseases such as the one causing gut disorders or leading to lung destruction in CF patients [364,365].
In these complex structured ecological systems diseases are predicted to originate from the modification of the dynamic of interactions between pathogens, commensal and the hosts systems, and to be strongly dependent on the composition of the environment. Computational modeling is a common tool used to understand many biological processes, such as epidemiological dynamics  and emergence of antibiotic resistance . Such approach has allowed genome-scale metabolic reconstruction of several pathogens including P. aeruginosa, S. aureus, Burkholderia spp. or Salmonella spp. and have been used to predict the behavior of bacteria in complex in vivo modeled environments including biofilms leading to the identification of potential target genes or lethal specific environment conditions awaiting in vivo validation [368,369,370]. With metabolic multi-cells modeling, taking into account interactions between microorganisms and eukaryotic cells, should come a better understanding of potential complex interactions . Efforts have been made to model various aspects or properties of biofilms such as, for instance, heterogeneity within biofilms  or more recently to integrate biofilm formation and development with host dynamics (for example, ). Indeed, aspects of evolution are also important to integrate to biofilm-related infections because outcome of the chronicity of such diseases may result from long lasting interactions and co-evolution between microorganisms and hosts. Experimental evolution is a powerful tool that in combination with high throughput sequencing technology can help decipher the genetic and molecular basis of evolutionary change [373,374]. Such an approach, that has notably been used in medicine to develop attenuated live vaccines , has also been successfully used to understand micro-evolution and patho-adaptative mutations of P. aeruginosa and B. cenopacia, both in patients and in in vitro or in vivo murine models, during modeled or real chronic airway infections. These long-term studies identified bacterial functions that can favor persistent life style of these pathogens and that can have important clinical implications for management of the disease progression [375,376,377,378]. These results may also apply to various biofilm-related chronic infections. Thus, specific in vivo models of tissue or devices-associated infections could shed light over the various selective pressures acting on biofilm physiology and promoting bacterial diversity or the response of biofilm bacteria to different antibiotic treatments.
The world of infectious diseases is today taking a major turn towards the identification and integration of the multiple parameters influencing diseases' outcome [364,365,379,380]. A better spatial and temporal understanding of dynamic interactions between the microorganisms, the hosts and their environment will open a myriad of possibilities for clinicians to perform in the future an adaptive management of human infections not solely centered on antibiotics but playing with stability of communities or resource competition. Biofilm research has its place to take in this new exciting challenge.
We thank A. Purdy and P.I. Watnick for kindly providing images to illustrate the Drosophila model. We also thank M. Frétaud and J.-P. Levraud for zebrafish images, C. Moser, K. Thomsen, H. Calum and H. Trøstrup for the mouse wound infection pictures, A.-C. Crémieux, B. Fantin and V. Dubée for rabbit endocarditis pictures, G. Li Bassi and L. Fernandez-Barat for pig endotracheal tube pictures. We apologize to those authors whose work or publications could not be described or cited. DL was supported by a grant from the AXA research fund.
Conflict of Interest
The authors declare no conflict of interest.
- Henrici, A.T. Studies of freshwater bacteria: I. A direct microscopic technique. J. Bacteriol. 1933, 25, 277–287. [Google Scholar]
- Costerton, J.W.; Geesey, G.G.; Cheng, K.J. How bacteria stick. Sci. Am. 1978, 238, 86–95. [Google Scholar]
- Geesey, G.G.; Richardson, W.T.; Yeomans, H.G.; Irvin, R.T.; Costerton, J.W. Microscopic examination of natural sessile bacterial populations from an alpine stream. Can. J. Microbiol. 1977, 23, 1733–1736. [Google Scholar]
- Al-Azemi, A.; Fielder, M.D.; Abuknesha, R.A.; Price, R.G. Effects of chelating agent and environmental stresses on microbial biofilms: relevance to clinical microbiology. J. Appl. Microbiol. 2011, 110, 1307–1313. [Google Scholar]
- Hoiby, N.; Bjarnsholt, T.; Givskov, M.; Molin, S.; Ciofu, O. Antibiotic resistance of bacterial biofilms. Int. J. Antimicrob. Agents 2010, 35, 322–332. [Google Scholar]
- Iibuchi, R.; Hara-Kudo, Y.; Hasegawa, A.; Kumagai, S. Survival of Salmonella on a polypropylene surface under dry conditions in relation to biofilm-formation capability. J. Food Prot. 2010, 73, 1506–1510. [Google Scholar]
- Jabra-Rizk, M.A.; Falkler, W.A.; Meiller, T.F. Fungal biofilms and drug resistance. Emerg. Infect. Dis. 2004, 10, 14–19. [Google Scholar]
- McKew, B.A.; Taylor, J.D.; McGenity, T.J.; Underwood, G.J. Resistance and resilience of benthic biofilm communities from a temperate saltmarsh to desiccation and rewetting. Isme J. 2011, 5, 30–41. [Google Scholar]
- Costerton, J.W. The etiology and persistence of cryptic bacterial infections: a hypothesis. Rev. Infect. Dis. 1984, 6 Suppl 3, S608–S616. [Google Scholar]
- Costerton, J.W.; Irvin, R.T.; Cheng, K.J. The bacterial glycocalyx in nature and disease. Annu. Rev. Microbiol. 1981, 35, 299–324. [Google Scholar]
- Costerton, J.W.; Irvin, R.T.; Cheng, K.J. The role of bacterial surface structures in pathogenesis. Crit. Rev. Microbiol. 1981, 8, 303–338. [Google Scholar]
- Hoiby, N. Pseudomonas aeruginosa infection in cystic fibrosis. Diagnostic and prognostic significance of Pseudomonas aeruginosa precipitins determined by means of crossed immunoelectrophoresis. A survey. Acta Pathol. Microbiol. Scand. Suppl. 1977, 1–96. [Google Scholar]
- Hoiby, N.; Doring, G.; Schiotz, P.O. The role of immune complexes in the pathogenesis of bacterial infections. Annu. Rev. Microbiol. 1986, 40, 29–53. [Google Scholar]
- Lam, J.; Chan, R.; Lam, K.; Costerton, J.W. Production of mucoid microcolonies by Pseudomonas aeruginosa within infected lungs in cystic fibrosis. Infect. Immun. 1980, 28, 546–556. [Google Scholar]
- Potera, C. Forging a link between biofilms and disease. Science 1999, 283, 1837–1839. [Google Scholar]
- NIH RESEARCH ON MICROBIAL BIOFILMS. Available online: http://grants.nih.gov/grants/guide/pa-files/PA-03–047.html.
- Lebeaux, D.; Ghigo, J.M. Management of biofilm-associated infections: what can we expect from recent research on biofilm lifestyles? Med. Sci. (Paris) 2012, 28, 727–739. [Google Scholar] [CrossRef]
- Cremieux, A.C.; Carbon, C. Experimental models of bone and prosthetic joint infections. Clin. Infect. Dis. 1997, 25, 1295–1302. [Google Scholar]
- Morton, D.B. Ethical considerations in the use of animal models in infection. Clin. Microbiol. Infect. 1998, 4, 613–614. [Google Scholar]
- Russell, W.M.S.; Burch, R.L. The Principles of Humane Experimental Technique. Methuen & Co Ltd: London, UK., 1959. [Google Scholar]
- McBain, A.J. Chapter 4: In vitro biofilm models: an overview. Adv. Appl. Microbiol. 2009, 69, 99–132. [Google Scholar]
- Coenye, T.; Nelis, H.J. In vitro and in vivo model systems to study microbial biofilm formation. J. Microbiol. Methods 2010, 83, 89–105. [Google Scholar]
- Christensen, G.D.; Simpson, W.A.; Younger, J.J.; Baddour, L.M.; Barrett, F.F.; Melton, D.M.; Beachey, E.H. Adherence of coagulase-negative staphylococci to plastic tissue culture plates: a quantitative model for the adherence of staphylococci to medical devices. J. Clin. Microbiol. 1985, 22, 996–1006. [Google Scholar]
- Stepanovic, S.; Vukovic, D.; Hola, V.; Di Bonaventura, G.; Djukic, S.; Cirkovic, I.; Ruzicka, F. Quantification of biofilm in microtiter plates: overview of testing conditions and practical recommendations for assessment of biofilm production by staphylococci. APMIS 2007, 115, 891–899. [Google Scholar]
- Rudney, J.D.; Chen, R.; Lenton, P.; Li, J.; Li, Y.; Jones, R.S.; Reilly, C.; Fok, A.S.; Aparicio, C. A reproducible oral microcosm biofilm model for testing dental materials. J. Appl. Microbiol. 2012, 113, 1540–1553. [Google Scholar]
- Berry, R.E.; Klumpp, D.J.; Schaeffer, A.J. Urothelial cultures support intracellular bacterial community formation by uropathogenic Escherichia coli. Infect. Immun. 2009, 77, 2762–2772. [Google Scholar]
- Harriott, M.M.; Lilly, E.A.; Rodriguez, T.E.; Fidel, P.L., Jr.; Noverr, M.C. Candida albicans forms biofilms on the vaginal mucosa. Microbiology 2010, 156, 3635–3644. [Google Scholar]
- Lenton, P.; Rudney, J.; Chen, R.; Fok, A.; Aparicio, C.; Jones, R.S. Imaging in vivo secondary caries and ex vivo dental biofilms using cross-polarization optical coherence tomography. Dental materials 2012, 28, 792–800. [Google Scholar]
- Melican, K.; Sandoval, R.M.; Kader, A.; Josefsson, L.; Tanner, G.A.; Molitoris, B.A.; Richter-Dahlfors, A. Uropathogenic Escherichia coli P and Type 1 fimbriae act in synergy in a living host to facilitate renal colonization leading to nephron obstruction. PLoS Pathog 2011, 7, e1001298. [Google Scholar]
- Simmons, W.L.; Dybvig, K. Mycoplasma biofilms ex vivo and in vivo. FEMS Microbiol. Lett. 2009, 295, 77–81. [Google Scholar]
- Wolcott, R.D.; Rumbaugh, K.P.; James, G.; Schultz, G.; Phillips, P.; Yang, Q.; Watters, C.; Stewart, P.S.; Dowd, S.E. Biofilm maturity studies indicate sharp debridement opens a time- dependent therapeutic window. J. Wound Care 2010, 19, 320–328. [Google Scholar]
- Boman, H.G. Innate immunity and the normal microflora. Immunol. Rev. 2000, 173, 5–16. [Google Scholar]
- Lemaitre, B.; Ausubel, F. Animal models for host-pathogen interactions. Curr. Opin. Microbiol. 2008, 11, 249–250. [Google Scholar]
- Zhang, Y.; Hu, Y.; Yang, B.; Ma, F.; Lu, P.; Li, L.; Wan, C.; Rayner, S.; Chen, S. Duckweed (Lemna minor) as a model plant system for the study of human microbial pathogenesis. PLoS One 2010, 5, e13527. [Google Scholar]
- Diard, M.; Baeriswyl, S.; Clermont, O.; Gouriou, S.; Picard, B.; Taddei, F.; Denamur, E.; Matic, I. Caenorhabditis elegans as a simple model to study phenotypic and genetic virulence determinants of extraintestinal pathogenic Escherichia coli. Microbes and infection 2007, 9, 214–223. [Google Scholar]
- De Bentzmann, S.; Giraud, C.; Bernard, C.S.; Calderon, V.; Ewald, F.; Plesiat, P.; Nguyen, C.; Grunwald, D.; Attree, I.; Jeannot, K.; et al. Unique Biofilm signature, drug susceptibility and decreased virulence in Drosophila through the Pseudomonas aeruginosa two-component system PprAB. PLoS Pathog 2012, 8, e1003052. [Google Scholar] [CrossRef]
- Mulcahy, H.; Sibley, C.D.; Surette, M.G.; Lewenza, S. Drosophila melanogaster as an animal model for the study of Pseudomonas aeruginosa biofilm infections in vivo. PLoS Pathog 2011, 7, e1002299. [Google Scholar]
- Purdy, A.E.; Watnick, P.I. Spatially selective colonization of the arthropod intestine through activation of Vibriocholerae biofilm formation. Proc. Natl. Acad. Sci. USA 2011, 108, 19737–19742. [Google Scholar]
- Neely, M.N.; Pfeifer, J.D.; Caparon, M. Streptococcus-zebrafish model of bacterial pathogenesis. Infect. Immun. 2002, 70, 3904–3914. [Google Scholar]
- Rawls, J.F.; Mahowald, M.A.; Goodman, A.L.; Trent, C.M.; Gordon, J.I. In vivo imaging and genetic analysis link bacterial motility and symbiosis in the zebrafish gut. Proc. Natl. Acad. Sci. USA 2007, 104, 7622–7627. [Google Scholar]
- Rendueles, O.; Ferrieres, L.; Fretaud, M.; Begaud, E.; Herbomel, P.; Levraud, J.P.; Ghigo, J.M. A new zebrafish model of Oro-intestinal pathogen colonization reveals a key role for adhesion in protection by probiotic bacteria. PLoS Pathog 2012, 8, e1002815. [Google Scholar]
- Letamendia, A.; Quevedo, C.; Ibarbia, I.; Virto, J.M.; Holgado, O.; Diez, M.; Izpisua Belmonte, J.C.; Callol-Massot, C. Development and validation of an automated high-throughput system for zebrafish in vivo screenings. PLoS One 2012, 7, e36690. [Google Scholar]
- Ahlund, M.K.; Ryden, P.; Sjostedt, A.; Stoven, S. Directed screen of Francisellanovicida virulence determinants using Drosophila melanogaster. Infect. Immun. 2010, 78, 3118–3128. [Google Scholar]
- Kurz, C.L.; Chauvet, S.; Andres, E.; Aurouze, M.; Vallet, I.; Michel, G.P.; Uh, M.; Celli, J.; Filloux, A.; De Bentzmann, S.; et al. Virulence factors of the human opportunistic pathogen Serratia marcescens identified by in vivo screening. EMBO J. 2003, 22, 1451–1460. [Google Scholar] [CrossRef]
- Stoop, E.J.; Schipper, T.; Huber, S.K.; Nezhinsky, A.E.; Verbeek, F.J.; Gurcha, S.S.; Besra, G.S.; Vandenbroucke-Grauls, C.M.; Bitter, W.; van der Sar, A.M. Zebrafish embryo screen for mycobacterial genes involved in the initiation of granuloma formation reveals a newly identified ESX-1 component. Dis. Models Mechan. 2011, 4, 526–536. [Google Scholar]
- Joshua, G.W.; Karlyshev, A.V.; Smith, M.P.; Isherwood, K.E.; Titball, R.W.; Wren, B.W. A Caenorhabditis elegans model of Yersinia infection: biofilm formation on a biotic surface. Microbiology 2003, 149, 3221–3229. [Google Scholar]
- Silver, A.C.; Rabinowitz, N.M.; Küffer, S.; Graf, J. Identification of Aeromonas veronii genes required for colonization of the medicinal leech, Hirudo verbana. J. Bacteriol. 2007, 189, 6763–6772. [Google Scholar]
- Squiban, B.; Kurz, C.L. C. elegans: an all in one model for antimicrobial drug discovery. Curr. Drug Targets 2011, 12, 967–977. [Google Scholar] [CrossRef]
- Pradel, E.; Ewbank, J.J. Genetic models in pathogenesis. Ann. Rev. Genet. 2004, 38, 347–363. [Google Scholar]
- Cohen, T.S.; Prince, A. Cystic fibrosis: a mucosal immunodeficiency syndrome. Nat. Med. 2012, 18, 509–519. [Google Scholar]
- Hoiby, N.; Ciofu, O.; Bjarnsholt, T. Pseudomonas aeruginosa biofilms in cystic fibrosis. Future Microbiol. 2010, 5, 1663–1674. [Google Scholar]
- Lyczak, J.B.; Cannon, C.L.; Pier, G.B. Lung infections associated with cystic fibrosis. Clin. Microbiol. Rev. 2002, 15, 194–222. [Google Scholar]
- Singh, P.K.; Schaefer, A.L.; Parsek, M.R.; Moninger, T.O.; Welsh, M.J.; Greenberg, E.P. Quorum-sensing signals indicate that cystic fibrosis lungs are infected with bacterial biofilms. Nature 2000, 407, 762–764. [Google Scholar]
- Cash, H.A.; Woods, D.E.; McCullough, B.; Johanson, W.G., Jr.; Bass, J.A. A rat model of chronic respiratory infection with Pseudomonas aeruginosa. Am. Rev. Respir. Dis. 1979, 119, 453–459. [Google Scholar]
- Bernier, S.P.; Silo-Suh, L.; Woods, D.E.; Ohman, D.E.; Sokol, P.A. Comparative analysis of plant and animal models for characterization of Burkholderia cepacia virulence. Infect. Immun. 2003, 71, 5306–5313. [Google Scholar]
- Cheung, A.T.; Moss, R.B.; Leong, A.B.; Novick, W.J., Jr. Chronic Pseudomonas aeruginosa endobronchitis in rhesus monkeys: I. Effects of pentoxifylline on neutrophil influx. J. Med. Primatol. 1992, 21, 357–362. [Google Scholar]
- Starke, J.R.; Edwards, M.S.; Langston, C.; Baker, C.J. A mouse model of chronic pulmonary infection with Pseudomonas aeruginosa and Pseudomonas cepacia. Pediatr. Res. 1987, 22, 698–702. [Google Scholar]
- Thomassen, M.J.; Klinger, J.D.; Winnie, G.B.; Wood, R.E.; Burtner, C.; Tomashefski, J.F.; Horowitz, J.G.; Tandler, B. Pulmonary cellular response to chronic irritation and chronic Pseudomonas aeruginosa pneumonia in cats. Infect. Immun. 1984, 45, 741–747. [Google Scholar]
- Winnie, G.B.; Klinger, J.D.; Sherman, J.M.; Thomassen, M.J. Induction of phagocytic inhibitory activity in cats with chronic Pseudomonas aeruginosa pulmonary infection. Infect. Immun. 1982, 38, 1088–1093. [Google Scholar]
- van Heeckeren, A.M.; Schluchter, M.D. Murine models of chronic Pseudomonas aeruginosa lung infection. Lab. Anim. 2002, 36, 291–312. [Google Scholar]
- Alhariri, M.; Omri, A. Efficacy of liposomal bismuth-ethanedithiol-loaded tobramycin after intratracheal administration in rats with pulmonary Pseudomonas aeruginosa Infection. Antimicrob. Agents Chemother. 2013, 57, 569–578. [Google Scholar]
- Pedersen, S.S.; Shand, G.H.; Hansen, B.L.; Hansen, G.N. Induction of experimental chronic Pseudomonas aeruginosa lung infection with P. aeruginosa entrapped in alginate microspheres. APMIS 1990, 98, 203–211. [Google Scholar] [CrossRef]
- Yang, L.; Hengzhuang, W.; Wu, H.; Damkiaer, S.; Jochumsen, N.; Song, Z.; Givskov, M.; Hoiby, N.; Molin, S. Polysaccharides serve as scaffold of biofilms formed by mucoid Pseudomonas aeruginosa. FEMS Immunol. Med. Microbiol. 2012, 65, 366–376. [Google Scholar]
- Hengzhuang, W.; Wu, H.; Ciofu, O.; Song, Z.; Hoiby, N. In vivo pharmacokinetics/pharmacodynamics of colistin and imipenem in Pseudomonas aeruginosa biofilm infection. Antimicrob. Agents Chemother. 2011, 56, 2683–2690. [Google Scholar]
- Sawai, T.; Tomono, K.; Yanagihara, K.; Yamamoto, Y.; Kaku, M.; Hirakata, Y.; Koga, H.; Tashiro, T.; Kohno, S. Role of coagulase in a murine model of hematogenous pulmonary infection induced by intravenous injection of Staphylococcus aureus enmeshed in agar beads. Infect. Immun. 1997, 65, 466–471. [Google Scholar]
- Kihara, R.; Yanagihara, K.; Morinaga, Y.; Araki, N.; Nakamura, S.; Seki, M.; Izumikawa, K.; Kakeya, H.; Yamamoto, Y.; Tsukamoto, K.; et al. Potency of SMP-601, a novel carbapenem, in hematogenous murine bronchopneumonia caused by methicillin-resistant and vancomycin-intermediate Staphylococcus aureus. Antimicrob. Agents Chemother. 2008, 52, 2163–2168. [Google Scholar] [CrossRef]
- Yanagihara, K.; Kihara, R.; Araki, N.; Morinaga, Y.; Seki, M.; Izumikawa, K.; Kakeya, H.; Yamamoto, Y.; Yamada, Y.; Kohno, S.; et al. Efficacy of linezolid against Panton-Valentine leukocidin (PVL)-positive meticillin-resistant Staphylococcus aureus (MRSA) in a mouse model of haematogenous pulmonary infection. Int. J. Antimicrob. Agents 2009, 34, 477–481. [Google Scholar] [CrossRef]
- Clarke, L.L.; Grubb, B.R.; Gabriel, S.E.; Smithies, O.; Koller, B.H.; Boucher, R.C. Defective epithelial chloride transport in a gene-targeted mouse model of cystic fibrosis. Science 1992, 257, 1125–1128. [Google Scholar]
- Bragonzi, A. Murine models of acute and chronic lung infection with cystic fibrosis pathogens. Int. J. Med. Microbiol. 2010, 300, 584–593. [Google Scholar]
- Hoffmann, N.; Lee, B.; Hentzer, M.; Rasmussen, T.B.; Song, Z.; Johansen, H.K.; Givskov, M.; Hoiby, N. Azithromycin blocks quorum sensing and alginate polymer formation and increases the sensitivity to serum and stationary-growth-phase killing of Pseudomonas aeruginosa and attenuates chronic P. aeruginosa lung infection in Cftr(-/-) mice. Antimicrob. Agents Chemother. 2007, 51, 3677–3687. [Google Scholar] [CrossRef]
- Saiman, L.; Marshall, B.C.; Mayer-Hamblett, N.; Burns, J.L.; Quittner, A.L.; Cibene, D.A.; Coquillette, S.; Fieberg, A.Y.; Accurso, F.J.; Campbell, P.W., 3rd. Azithromycin in patients with cystic fibrosis chronically infected with Pseudomonas aeruginosa: a randomized controlled trial. JAMA J. Am. Med. Assoc. 2003, 290, 1749–1756. [Google Scholar]
- Bragonzi, A.; Farulla, I.; Paroni, M.; Twomey, K.B.; Pirone, L.; Lore, N.I.; Bianconi, I.; Dalmastri, C.; Ryan, R.P.; Bevivino, A. Modelling co-infection of the cystic fibrosis lung by Pseudomonas aeruginosa and Burkholderia cenocepacia reveals influences on biofilm formation and host response. PLoS One 2012, 7, e52330. [Google Scholar]
- Stoltz, D.A.; Meyerholz, D.K.; Pezzulo, A.A.; Ramachandran, S.; Rogan, M.P.; Davis, G.J.; Hanfland, R.A.; Wohlford-Lenane, C.; Dohrn, C.L.; Bartlett, J.A.; et al. Cystic fibrosis pigs develop lung disease and exhibit defective bacterial eradication at birth. Sci. Transl. Med. 2010, 2, 29ra31. [Google Scholar] [CrossRef]
- Keiser, N.W.; Engelhardt, J.F. New animal models of cystic fibrosis: what are they teaching us? Curr. Opin. Pulm. Med. 2011, 17, 478–483. [Google Scholar]
- Sethi, S.; Wrona, C.; Eschberger, K.; Lobbins, P.; Cai, X.; Murphy, T.F. Inflammatory profile of new bacterial strain exacerbations of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2008, 177, 491–497. [Google Scholar]
- Pang, B.; Hong, W.; West-Barnette, S.L.; Kock, N.D.; Swords, W.E. Diminished ICAM-1 expression and impaired pulmonary clearance of nontypeable Haemophilus influenzae in a mouse model of chronic obstructive pulmonary disease/emphysema. Infect. Immun. 2008, 76, 4959–4967. [Google Scholar]
- Homma, H.; Yamanaka, A.; Tanimoto, S.; Tamura, M.; Chijimatsu, Y.; Kira, S.; Izumi, T. Diffuse panbronchiolitis. A disease of the transitional zone of the lung. Chest 1983, 83, 63–69. [Google Scholar]
- Kobayashi, H. Airway biofilms: implications for pathogenesis and therapy of respiratory tract infections. Treat. Respir. Med. 2005, 4, 241–253. [Google Scholar]
- Schultz, M.J. Macrolide activities beyond their antimicrobial effects: macrolides in diffuse panbronchiolitis and cystic fibrosis. J. Antimicrob. Chemother. 2004, 54, 21–28. [Google Scholar]
- Yanagihara, K.; Tomono, K.; Sawai, T.; Hirakata, Y.; Kadota, J.; Koga, H.; Tashiro, T.; Kohno, S. Effect of clarithromycin on lymphocytes in chronic respiratory Pseudomonas aeruginosa infection. Am. J. Respir. Crit. Care Med. 1997, 155, 337–342. [Google Scholar]
- Nagata, T.; Mukae, H.; Kadota, J.; Hayashi, T.; Fujii, T.; Kuroki, M.; Shirai, R.; Yanagihara, K.; Tomono, K.; Koji, T.; et al. Effect of erythromycin on chronic respiratory infection caused by Pseudomonas aeruginosa with biofilm formation in an experimental murine model. Antimicrob. Agents Chemother. 2004, 48, 2251–2259. [Google Scholar] [CrossRef]
- Yanagihara, K.; Tomono, K.; Sawai, T.; Kuroki, M.; Kaneko, Y.; Ohno, H.; Higashiyama, Y.; Miyazaki, Y.; Hirakata, Y.; Maesaki, S.; et al. Combination therapy for chronic Pseudomonas aeruginosa respiratory infection associated with biofilm formation. J. Antimicrob. Chemother. 2000, 46, 69–72. [Google Scholar] [CrossRef]
- Hannan, T.J.; Totsika, M.; Mansfield, K.J.; Moore, K.H.; Schembri, M.A.; Hultgren, S.J. Host-pathogen checkpoints and population bottlenecks in persistent and intracellular uropathogenic Escherichia coli bladder infection. FEMS Microbiol. Rev. 2012, 36, 616–648. [Google Scholar]
- Conway, P.H.; Cnaan, A.; Zaoutis, T.; Henry, B.V.; Grundmeier, R.W.; Keren, R. Recurrent urinary tract infections in children: risk factors and association with prophylactic antimicrobials. JAMA J. Am. Med. Assoc. 2007, 298, 179–186. [Google Scholar]
- Ronald, A. The etiology of urinary tract infection: traditional and emerging pathogens. Am. J. Med. 2002, 113 Suppl 1A, 14S–19S. [Google Scholar]
- Ozok, H.U.; Ekim, O.; Saltas, H.; Arikok, A.T.; Babacan, O.; Sagnak, L.; Topaloglu, H.; Ersoy, H. The preventive role of transurethral antibiotic delivery in a rat model. Drug Des. Dev. Ther. 2012, 6, 187–194. [Google Scholar]
- Hung, C.S.; Dodson, K.W.; Hultgren, S.J. A murine model of urinary tract infection. Nat. Protoc. 2009, 4, 1230–1243. [Google Scholar]
- Rosen, D.A.; Hooton, T.M.; Stamm, W.E.; Humphrey, P.A.; Hultgren, S.J. Detection of intracellular bacterial communities in human urinary tract infection. PLoS Med. 2007, 4, e329. [Google Scholar]
- Anderson, G.G.; Palermo, J.J.; Schilling, J.D.; Roth, R.; Heuser, J.; Hultgren, S.J. Intracellular bacterial biofilm-like pods in urinary tract infections. Science 2003, 301, 105–107. [Google Scholar]
- Blango, M.G.; Mulvey, M.A. Persistence of uropathogenic Escherichia coli in the face of multiple antibiotics. Antimicrob. Agents Chemother. 2010, 54, 1855–1863. [Google Scholar]
- Justice, S.S.; Hung, C.; Theriot, J.A.; Fletcher, D.A.; Anderson, G.G.; Footer, M.J.; Hultgren, S.J. Differentiation and developmental pathways of uropathogenic Escherichia coli in urinary tract pathogenesis. Proc. Natl. Acad. Sci. USA 2004, 101, 1333–1338. [Google Scholar]
- Cusumano, C.K.; Pinkner, J.S.; Han, Z.; Greene, S.E.; Ford, B.A.; Crowley, J.R.; Henderson, J.P.; Janetka, J.W.; Hultgren, S.J. Treatment and prevention of urinary tract infection with orally active FimH inhibitors. Sci. Transl. Med. 2011, 3, 109ra115. [Google Scholar]
- Hadjifrangiskou, M.; Kostakioti, M.; Chen, S.L.; Henderson, J.P.; Greene, S.E.; Hultgren, S.J. A central metabolic circuit controlled by QseC in pathogenic Escherichia coli. Mol. Microbiol. 2011, 80, 1516–1529. [Google Scholar]
- Alteri, C.J.; Smith, S.N.; Mobley, H.L. Fitness of Escherichia coli during urinary tract infection requires gluconeogenesis and the TCA cycle. PLoS Pathog. 2009, 5, e1000448. [Google Scholar]
- Hultgren, S.J.; Porter, T.N.; Schaeffer, A.J.; Duncan, J.L. Role of type 1 pili and effects of phase variation on lower urinary tract infections produced by Escherichia coli. Infect. Immun. 1985, 50, 370–377. [Google Scholar]
- Abraham, S.N.; Babu, J.P.; Giampapa, C.S.; Hasty, D.L.; Simpson, W.A.; Beachey, E.H. Protection against Escherichia coli-induced urinary tract infections with hybridoma antibodies directed against type 1 fimbriae or complementary D-mannose receptors. Infect. Immun. 1985, 48, 625–628. [Google Scholar]
- Wright, K.J.; Seed, P.C.; Hultgren, S.J. Development of intracellular bacterial communities of uropathogenic Escherichia coli depends on type 1 pili. Cell. Microbiol. 2007, 9, 2230–2241. [Google Scholar]
- Poggio, T.V.; La Torre, J.L.; Scodeller, E.A. Intranasal immunization with a recombinant truncated FimH adhesin adjuvanted with CpG oligodeoxynucleotides protects mice against uropathogenic Escherichia coli challenge. Can. J. Microbiol. 2006, 52, 1093–1102. [Google Scholar]
- Brumbaugh, A.R.; Mobley, H.L. Preventing urinary tract infection: progress toward an effective Escherichia coli vaccine. Expert Rev. Vaccines 2012, 11, 663–676. [Google Scholar]
- Sunden, F.; Hakansson, L.; Ljunggren, E.; Wullt, B. Escherichia coli 83972 bacteriuria protects against recurrent lower urinary tract infections in patients with incomplete bladder emptying. J. Urol. 2010, 184, 179–185. [Google Scholar]
- Watts, R.E.; Totsika, M.; Challinor, V.L.; Mabbett, A.N.; Ulett, G.C.; De Voss, J.J.; Schembri, M.A. Contribution of siderophore systems to growth and urinary tract colonization of asymptomatic bacteriuria Escherichia coli. Infect. Immun. 2012, 80, 333–344. [Google Scholar]
- Fischer, H.; Lutay, N.; Ragnarsdottir, B.; Yadav, M.; Jonsson, K.; Urbano, A.; Al Hadad, A.; Ramisch, S.; Storm, P.; Dobrindt, U.; et al. Pathogen specific, IRF3-dependent signaling and innate resistance to human kidney infection. PLoS Pathog. 2010, 6, e1001109. [Google Scholar] [CrossRef]
- Ragnarsdottir, B.; Jonsson, K.; Urbano, A.; Gronberg-Hernandez, J.; Lutay, N.; Tammi, M.; Gustafsson, M.; Lundstedt, A.C.; Leijonhufvud, I.; Karpman, D.; et al. Toll-like receptor 4 promoter polymorphisms: common TLR4 variants may protect against severe urinary tract infection. PLoS One 2010, 5, e10734. [Google Scholar] [CrossRef]
- Sivick, K.E.; Mobley, H.L. Waging war against uropathogenic Escherichia coli: winning back the urinary tract. Infect. Immun. 2010, 78, 568–585. [Google Scholar]
- Hansson, S.; Hanson, E.; Hjalmas, K.; Hultengren, M.; Jodal, U.; Olling, S.; Svanborg-Eden, C. Follicular cystitis in girls with untreated asymptomatic or covert bacteriuria. J. Urol. 1990, 143, 330–332. [Google Scholar]
- Schlager, T.A.; LeGallo, R.; Innes, D.; Hendley, J.O.; Peters, C.A. B cell infiltration and lymphonodular hyperplasia in bladder submucosa of patients with persistent bacteriuria and recurrent urinary tract infections. J. Urol. 2011, 186, 2359–2364. [Google Scholar]
- Wang, C.; Mendonsa, G.R.; Symington, J.W.; Zhang, Q.; Cadwell, K.; Virgin, H.W.; Mysorekar, I.U. Atg16L1 deficiency confers protection from uropathogenic Escherichia coli infection in vivo. Proc. Natl. Acad. Sci. USA 2012, 109, 11008–11013. [Google Scholar]
- Naber, K.G.; Bergman, B.; Bishop, M.C.; Bjerklund-Johansen, T.E.; Botto, H.; Lobel, B.; Jinenez Cruz, F.; Selvaggi, F.P. EAU guidelines for the management of urinary and male genital tract infections. Urinary Tract Infection (UTI) Working Group of the Health Care Office (HCO) of the European Association of Urology (EAU). Eur. Urol. 2001, 40, 576–588. [Google Scholar] [CrossRef]
- Nickel, J.C.; Costerton, J.W. Bacterial localization in antibiotic-refractory chronic bacterial prostatitis. Prostate 1993, 23, 107–114. [Google Scholar]
- Krieger, J.N.; Lee, S.W.; Jeon, J.; Cheah, P.Y.; Liong, M.L.; Riley, D.E. Epidemiology of prostatitis. Int. J. Antimicrob. Agents 2008, 31 Suppl 1, S85–90. [Google Scholar]
- Mazzoli, S. Biofilms in chronic bacterial prostatitis (NIH-II) and in prostatic calcifications. FEMS Immunol. Med. Microbiol. 2010, 59, 337–344. [Google Scholar]
- Potts, J.; Payne, R.E. Prostatitis: Infection, neuromuscular disorder, or pain syndrome? Proper patient classification is key. Cleve Clin. J. Med. 2007, 74 Suppl 3, S63–S71. [Google Scholar] [CrossRef]
- Garcia-Castillo, M.; Morosini, M.I.; Galvez, M.; Baquero, F.; del Campo, R.; Meseguer, M.A. Differences in biofilm development and antibiotic susceptibility among clinical Ureaplasma urealyticum and Ureaplasma parvum isolates. J. Antimicrob. Chemother. 2008, 62, 1027–1030. [Google Scholar]
- Soto, S.M.; Smithson, A.; Martinez, J.A.; Horcajada, J.P.; Mensa, J.; Vila, J. Biofilm formation in uropathogenic Escherichia coli strains: relationship with prostatitis, urovirulence factors and antimicrobial resistance. J. Urol. 2007, 177, 365–368. [Google Scholar]
- Kim, H.W.; Ha, U.S.; Woo, J.C.; Kim, S.J.; Yoon, B.I.; Lee, S.J.; Cho, Y.H. Preventive effect of selenium on chronic bacterial prostatitis. J. Infect. Chemother. 2012, 18, 30–34. [Google Scholar]
- Nelson, L.K.; D'Amours, G.H.; Sproule-Willoughby, K.M.; Morck, D.W.; Ceri, H. Pseudomonas aeruginosa las and rhl quorum-sensing systems are important for infection and inflammation in a rat prostatitis model. Microbiology 2009, 155, 2612–2619. [Google Scholar]
- Phan, V.; Belas, R.; Gilmore, B.F.; Ceri, H. ZapA, a virulence factor in a rat model of Proteus mirabilis-induced acute and chronic prostatitis. Infect. Immun. 2008, 76, 4859–4864. [Google Scholar]
- Kim, S.H.; Ha, U.S.; Lee, H.R.; Sohn, D.W.; Lee, S.J.; Kim, H.W.; Han, C.H.; Lee, C.B.; Cho, Y.H. Do Escherichia coli extract and cranberry exert preventive effects on chronic bacterial prostatitis? Pilot study using an animal model. J. Infect. Chemother. 2011, 17, 322–326. [Google Scholar]
- Lee, Y.S.; Han, C.H.; Kang, S.H.; Lee, S.J.; Kim, S.W.; Shin, O.R.; Sim, Y.C.; Cho, Y.H. Synergistic effect between catechin and ciprofloxacin on chronic bacterial prostatitis rat model. Int. J. Urol. 2005, 12, 383–389. [Google Scholar]
- Bichler, K.H.; Eipper, E.; Naber, K.; Braun, V.; Zimmermann, R.; Lahme, S. Urinary infection stones. Int. J. Antimicrob. Agents 2002, 19, 488–498. [Google Scholar]
- Hinman, F., Jr. Directional growth of renal calculi. J. Urol. 1979, 121, 700–705. [Google Scholar]
- Nemoy, N.J.; Staney, T.A. Surgical, bacteriological, and biochemical management of “infection stones”. JAMA J. Am. Med. Assoc. 1971, 215, 1470–1476. [Google Scholar] [CrossRef]
- Nickel, J.C.; Reid, G.; Bruce, A.W.; Costerton, J.W. Ultrastructural microbiology of infected urinary stone. Urology 1986, 28, 512–515. [Google Scholar]
- Broomfield, R.J.; Morgan, S.D.; Khan, A.; Stickler, D.J. Crystalline bacterial biofilm formation on urinary catheters by urease-producing urinary tract pathogens: a simple method of control. J. Future Med. Microbiol. 2009, 58, 1367–1375. [Google Scholar]
- Campieri, C.; Campieri, M.; Bertuzzi, V.; Swennen, E.; Matteuzzi, D.; Stefoni, S.; Pirovano, F.; Centi, C.; Ulisse, S.; Famularo, G.; et al. Reduction of oxaluria after an oral course of lactic acid bacteria at high concentration. Kidney Int. 2001, 60, 1097–1105. [Google Scholar] [CrossRef]
- Kwak, C.; Kim, H.K.; Kim, E.C.; Choi, M.S.; Kim, H.H. Urinary oxalate levels and the enteric bacterium Oxalobacter formigenes in patients with calcium oxalate urolithiasis. Eur. Urol. 2003, 44, 475–481. [Google Scholar]
- Nickel, J.C.; Olson, M.; McLean, R.J.; Grant, S.K.; Costerton, J.W. An ecological study of infected urinary stone genesis in an animal model. Br. J. Urol. 1987, 59, 21–30. [Google Scholar]
- Satoh, M.; Takeuchi, H.; Munakata, K.; Yoshida, O. Therapeutic effect of cefluprenam on polymicrobial urinary tract infection associated with Enterococcus faecalis, using the infectious urolithiasis model in rats. Kansenshogaku Zasshi 1998, 72, 371–378. [Google Scholar]
- Vermeulen, C.W.; Goetz, R. Experimental urolithiasis. IX. Influence of infection on stone growth in rats. J. Urol. 1954, 72, 761–769. [Google Scholar]
- Satoh, M.; Munakata, K.; Kitoh, K.; Takeuchi, H.; Yoshida, O. A newly designed model for infection-induced bladder stone formation in the rat. J. Urol. 1984, 132, 1247–1249. [Google Scholar]
- Nickel, J.C.; Costerton, J.W.; McLean, R.J.; Olson, M. Bacterial biofilms: influence on the pathogenesis, diagnosis and treatment of urinary tract infections. J. Antimicrob. Chemother. 1994, 33 (Suppl A), 31–41. [Google Scholar] [CrossRef]
- Lee, F.D.; Kraszewski, A.; Gordon, J.; Howie, J.G.; McSeveney, D.; Harland, W.A. Intestinal spirochaetosis. Gut 1971, 12, 126–133. [Google Scholar]
- Macfarlane, S.; Dillon, J.F. Microbial biofilms in the human gastrointestinal tract. J. Appl. Microbiol. 2007, 102, 1187–1196. [Google Scholar]
- Palestrant, D.; Holzknecht, Z.E.; Collins, B.H.; Parker, W.; Miller, S.E.; Bollinger, R.R. Microbial biofilms in the gut: visualization by electron microscopy and by acridine orange staining. Ultrastruct. Pathol. 2004, 28, 23–27. [Google Scholar]
- Swidsinski, A.; Weber, J.; Loening-Baucke, V.; Hale, L.P.; Lochs, H. Spatial organization and composition of the mucosal flora in patients with inflammatory bowel disease. J. Clin. Microbiol. 2005, 43, 3380–3389. [Google Scholar]
- Zoetendal, E.G.; Akkermans, A.D.; De Vos, W.M. Temperature gradient gel electrophoresis analysis of 16S rRNA from human fecal samples reveals stable and host-specific communities of active bacteria. Appl. Environ. Microbiol. 1998, 64, 3854–3859. [Google Scholar]
- Xavier, R.J.; Podolsky, D.K. Unravelling the pathogenesis of inflammatory bowel disease. Nature 2007, 448, 427–434. [Google Scholar]
- Bohnhoff, M.; Miller, C.P.; Martin, W.R. Resistance of the Mouse's Intestinal Tract to Experimental Salmonella Infection. Ii. Factors Responsible for Its Loss Following Streptomycin Treatment. J. Exp. Med. 1964, 120, 817–828. [Google Scholar] [CrossRef]
- Onderdonk, A.; Marshall, B.; Cisneros, R.; Levy, S.B. Competition between congenic Escherichia coli K-12 strains in vivo. Infect. Immun. 1981, 32, 74–79. [Google Scholar]
- Kaiser, P.; Diard, M.; Stecher, B.; Hardt, W.D. The streptomycin mouse model for Salmonella diarrhea: functional analysis of the microbiota, the pathogen's virulence factors, and the host's mucosal immune respons. Immunol. Rev. 2012, 245, 56–83. [Google Scholar]
- Eckmann, L. Animal models of inflammatory bowel disease: lessons from enteric infections. Ann. N. Y. Acad. Sci. 2006, 1072, 28–38. [Google Scholar]
- Nell, S.; Suerbaum, S.; Josenhans, C. The impact of the microbiota on the pathogenesis of IBD: lessons from mouse infection models. Nat. Rev. Microbiol. 2010, 8, 564–577. [Google Scholar]
- Dinbar, A.; Altmann, G.; Tulcinsky, D.B. The treatment of chronic biliary salmonella carriers. Am. J. Med. 1969, 47, 236–242. [Google Scholar]
- Lai, C.W.; Chan, R.C.; Cheng, A.F.; Sung, J.Y.; Leung, J.W. Common bile duct stones: a cause of chronic salmonellosis. Am. J. Gastroenterol. 1992, 87, 1198–1199. [Google Scholar]
- Sukupolvi, S.; Edelstein, A.; Rhen, M.; Normark, S.J.; Pfeifer, J.D. Development of a murine model of chronic Salmonella infection. Infect. Immun. 1997, 65, 838–842. [Google Scholar]
- Monack, D.M.; Bouley, D.M.; Falkow, S. Salmonella typhimurium persists within macrophages in the mesenteric lymph nodes of chronically infected Nramp1+/+ mice and can be reactivated by IFNgamma neutralization. J. Exp. Med. 2004, 199, 231–241. [Google Scholar]
- Crawford, R.W.; Reeve, K.E.; Gunn, J.S. Flagellated but not hyperfimbriated Salmonella enterica serovar Typhimurium attaches to and forms biofilms on cholesterol-coated surfaces. J. Bacteriol. 2010, 192, 2981–2990. [Google Scholar]
- Bjarnsholt, T.; Kirketerp-Moller, K.; Jensen, P.O.; Madsen, K.G.; Phipps, R.; Krogfelt, K.; Hoiby, N.; Givskov, M. Why chronic wounds will not heal: a novel hypothesis. Wound Repair. Regen. 2008, 16, 2–10. [Google Scholar]
- James, G.A.; Swogger, E.; Wolcott, R.; Pulcini, E.; Secor, P.; Sestrich, J.; Costerton, J.W.; Stewart, P.S. Biofilms in chronic wounds. Wound Repair. Regen. 2008, 16, 37–44. [Google Scholar]
- Seth, A.K.; Geringer, M.R.; Hong, S.J.; Leung, K.P.; Mustoe, T.A.; Galiano, R.D. In vivo modeling of biofilm-infected wounds: a review. J. Surg. Res. 2012, 178, 330–338. [Google Scholar]
- Thomson, C.H. Biofilms: do they affect wound healing? Int. Wound J. 2011, 8, 63–67. [Google Scholar] [CrossRef]
- Dai, T.; Tegos, G.P.; Zhiyentayev, T.; Mylonakis, E.; Hamblin, M.R. Photodynamic therapy for methicillin-resistant Staphylococcus aureus infection in a mouse skin abrasion model. Lasers Surg. Med. 2010, 42, 38–44. [Google Scholar]
- Dai, T.; Kharkwal, G.B.; Tanaka, M.; Huang, Y.Y.; Bil de Arce, V.J.; Hamblin, M.R. Animal models of external traumatic wound infections. Virulence 2011, 2, 296–315. [Google Scholar]
- Trøstrup, H.; Thomsen, K.; Christophersen, L.J.; Hougen, H.P.; Bjarnsholt, T.; Jensen, P.Ø.; Kirkby, N.; Calum, H.; Høiby, N.; Moser, C. Pseudomonas aeruginosa biofilm aggravates skin inflammatory response in BALB/c mice in a novel chronic wound model. Wound Repair Regen 2013, 21, 292–299. [Google Scholar] [CrossRef]
- Calum, H.; Moser, C.; Jensen, P.O.; Christophersen, L.; Maling, D.S.; van Gennip, M.; Bjarnsholt, T.; Hougen, H.P.; Givskov, M.; Jacobsen, G.K.; et al. Thermal injury induces impaired function in polymorphonuclear neutrophil granulocytes and reduced control of burn wound infection. Clin. Exp. Immunol. 2009, 156, 102–110. [Google Scholar] [CrossRef]
- Akiyama, H.; Kanzaki, H.; Tada, J.; Arata, J. Staphylococcus aureus infection on cut wounds in the mouse skin: experimental staphylococcal botryomycosis. J. Dermatol. Sci. 1996, 11, 234–238. [Google Scholar]
- Davis, S.C.; Ricotti, C.; Cazzaniga, A.; Welsh, E.; Eaglstein, W.H.; Mertz, P.M. Microscopic and physiologic evidence for biofilm-associated wound colonization in vivo. Wound Repair. Regen. 2008, 16, 23–29. [Google Scholar]
- Simonetti, O.; Cirioni, O.; Ghiselli, R.; Goteri, G.; Scalise, A.; Orlando, F.; Silvestri, C.; Riva, A.; Saba, V.; Madanahally, K.D.; et al. NAIII-inhibiting peptide enhances healing of wounds infected with methicillin-resistant Staphylococcus aureus. Antimicrob. Agents Chemother. 2008, 52, 2205–2211. [Google Scholar] [CrossRef]
- Nakagami, G.; Sanada, H.; Sugama, J.; Morohoshi, T.; Ikeda, T.; Ohta, Y. Detection of Pseudomonas aeruginosa quorum sensing signals in an infected ischemic wound: an experimental study in rats. Wound Repair. Regen. 2008, 16, 30–36. [Google Scholar]
- Citron, D.M.; Goldstein, E.J.; Merriam, C.V.; Lipsky, B.A.; Abramson, M.A. Bacteriology of moderate-to-severe diabetic foot infections and In vitro activity of antimicrobial agents. J. Clin. Microbiol. 2007, 45, 2819–2828. [Google Scholar]
- Mastropaolo, M.D.; Evans, N.P.; Byrnes, M.K.; Stevens, A.M.; Robertson, J.L.; Melville, S.B. Synergy in polymicrobial infections in a mouse model of type 2 diabetes. Infect. Immun. 2005, 73, 6055–6063. [Google Scholar]
- Donlan, R.M.; Costerton, J.W. Biofilms: survival mechanisms of clinically relevant microorganisms. Clin. Microbiol. Rev. 2002, 15, 167–193. [Google Scholar]
- Gotz, F. Staphylococcus and biofilms. Mol. Microbiol. 2002, 43, 1367–1378. [Google Scholar]
- Durack, D.T.; Beeson, P.B.; Petersdorf, R.G. Experimental bacterial endocarditis. 3. Production and progress of the disease in rabbits. Br. J. Exp. Pathol. 1973, 54, 142–151. [Google Scholar]
- Garrison, P.K.; Freedman, L.R. Experimental endocarditis I. Staphylococcal endocarditis in rabbits resulting from placement of a polyethylene catheter in the right side of the heart. Yale J. Biol. Med. 1970, 42, 394–410. [Google Scholar]
- Xiong, Y.Q.; Willard, J.; Yeaman, M.R.; Cheung, A.L.; Bayer, A.S. Regulation of Staphylococcus aureus alpha-toxin gene (hla) expression by agr , sarA , and sae In vitro and in experimental infective endocarditis. J. Infect. Dis. 2006, 194, 1267–1275. [Google Scholar] [CrossRef]
- Dubee, V.; Chau, F.; Arthur, M.; Garry, L.; Benadda, S.; Mesnage, S.; Lefort, A.; Fantin, B. The In vitro contribution of autolysins to bacterial killing elicited by amoxicillin increases with inoculum size in Enterococcus faecalis. Antimicrob. Agents Chemother. 2011, 55, 910–912. [Google Scholar]
- Frehel, C.; Hellio, R.; Cremieux, A.C.; Contrepois, A.; Bouvet, A. Nutritionally variant streptococci develop ultrastructural abnormalities during experimental endocarditis. Microbial. Pathog. 1988, 4, 247–255. [Google Scholar]
- Veloso, T.R.; Amiguet, M.; Rousson, V.; Giddey, M.; Vouillamoz, J.; Moreillon, P.; Entenza, J.M. Induction of experimental endocarditis by continuous low-grade bacteremia mimicking spontaneous bacteremia in humans. Infect. Immun. 2011, 79, 2006–2011. [Google Scholar]
- Veloso, T.R.; Chaouch, A.; Roger, T.; Giddey, M.; Vouillamoz, J.; Majcherczyk, P.; Que, Y.A.; Rousson, V.; Moreillon, P.; Entenza, J.M. Use of a human-like low-grade bacteremia model of experimental endocarditis to study the role of Staphylococcus aureus adhesins and platelet aggregation in early endocarditis. Infect. Immun. 2013, 81, 697–703. [Google Scholar]
- Ambrose, P.G.; Drusano, G.L.; Craig, W.A. In vivo activity of oritavancin in animal infection models and rationale for a new dosing regimen in humans. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2012, 54 Suppl 3, S220–228. [Google Scholar]
- Seidl, K.; Chen, L.; Bayer, A.S.; Hady, W.A.; Kreiswirth, B.N.; Xiong, Y.Q. Relationship of agr expression and function with virulence and vancomycin treatment outcomes in experimental endocarditis due to methicillin-resistant Staphylococcus aureus. Antimicrob. Agents Chemother. 2011, 55, 5631–5639. [Google Scholar]
- Tattevin, P.; Saleh-Mghir, A.; Davido, B.; Ghout, I.; Massias, L.; Garcia de la Maria, C.; Miro, J.M.; Perronne, C.; Laurent, F.; Cremieux, A.C. Comparison of six generic vancomycin products for treatment of methicillin-resistant Staphylococcus aureus experimental endocarditis in rabbits. Antimicrob. Agents Chemother. 2013, 57, 1157–1162. [Google Scholar]
- Hall-Stoodley, L.; Hu, F.Z.; Gieseke, A.; Nistico, L.; Nguyen, D.; Hayes, J.; Forbes, M.; Greenberg, D.P.; Dice, B.; Burrows, A.; et al. Direct detection of bacterial biofilms on the middle-ear mucosa of children with chronic otitis media. JAMA 2006, 296, 202–211. [Google Scholar] [CrossRef]
- Bakaletz, L.O. Bacterial biofilms in the upper airway - evidence for role in pathology and implications for treatment of otitis media. Paediatr. Respir. Rev. 2012, 13, 154–159. [Google Scholar]
- Bakaletz, L.O. Chinchilla as a robust, reproducible and polymicrobial model of otitis media and its prevention. Expert Rev. Vaccines 2009, 8, 1063–1082. [Google Scholar]
- Silva, R.C.; Dohar, J.E.; Hebda, P.A. Novel rat model of tympanostomy tube otorrhea. Int. J. Pediatr. Otorhinolaryngol. 2012, 76, 179–182. [Google Scholar]
- Trune, D.R.; Zheng, Q.Y. Mouse models for human otitis media. Brain Res. 2009, 1277, 90–103. [Google Scholar]
- Giebink, G.S. Immunoprophylaxis of otitis media. Adv. Exp. Med. Biol. 1991, 303, 149–158. [Google Scholar]
- Giebink, G.S.; Payne, E.E.; Mills, E.L.; Juhn, S.K.; Quie, P.G. Experimental otitis media due to Streptococcus pneumoniae: immunopathogenic response in the chinchilla. J. Infect. Dis. 1976, 134, 595–604. [Google Scholar]
- Juhn, S.K.; Giebink, G.S.; Hanson, D.G.; Paparella, M.M. Experimentally induced acute otitis media--an animal model. Arch. Otorhinolaryngol. 1977, 215, 95–96. [Google Scholar]
- Jurcisek, J.A.; Durbin, J.E.; Kusewitt, D.F.; Bakaletz, L.O. Anatomy of the nasal cavity in the chinchilla. Cells Tissues Organs 2003, 174, 136–152. [Google Scholar]
- Ehrlich, G.D.; Veeh, R.; Wang, X.; Costerton, J.W.; Hayes, J.D.; Hu, F.Z.; Daigle, B.J.; Ehrlich, M.D.; Post, J.C. Mucosal biofilm formation on middle-ear mucosa in the chinchilla model of otitis media. JAMA 2002, 287, 1710–1715. [Google Scholar]
- Post, J.C. Direct evidence of bacterial biofilms in otitis media. Laryngoscope 2001, 111, 2083–2094. [Google Scholar]
- Roberts, A.L.; Connolly, K.L.; Doern, C.D.; Holder, R.C.; Reid, S.D. Loss of the group A Streptococcus regulator Srv decreases biofilm formation in vivo in an otitis media model of infection. Infect. Immun. 2010, 78, 4800–4808. [Google Scholar]
- Byrd, M.S.; Pang, B.; Hong, W.; Waligora, E.A.; Juneau, R.A.; Armbruster, C.E.; Weimer, K.E.; Murrah, K.; Mann, E.E.; Lu, H.; et al. Direct evaluation of Pseudomonas aeruginosa biofilm mediators in a chronic infection model. Infect. Immun. 2011, 79, 3087–3095. [Google Scholar] [CrossRef]
- Bhutta, M.F. Mouse models of otitis media: strengths and limitations. Otolaryngol. Head Neck Surg. 2012, 147, 611–614. [Google Scholar]
- Briles, D.E.; Hollingshead, S.K.; Nabors, G.S.; Paton, J.C.; Brooks-Walter, A. The potential for using protein vaccines to protect against otitis media caused by Streptococcus pneumoniae. Vaccine 2000, 19 Suppl 1, S87–95. [Google Scholar]
- Holmes, A.R.; McNab, R.; Millsap, K.W.; Rohde, M.; Hammerschmidt, S.; Mawdsley, J.L.; Jenkinson, H.F. The pavA gene of Streptococcus pneumoniae encodes a fibronectin-binding protein that is essential for virulence. Mol. Microbiol. 2001, 41, 1395–1408. [Google Scholar]
- Dohar, J.E.; Hebda, P.A.; Veeh, R.; Awad, M.; Costerton, J.W.; Hayes, J.; Ehrlich, G.D. Mucosal biofilm formation on middle-ear mucosa in a nonhuman primate model of chronic suppurative otitis media. Laryngoscope 2005, 115, 1469–1472. [Google Scholar]
- Chaney, E.J.; Nguyen, C.T.; Boppart, S.A. Novel method for non-invasive induction of a middle-ear biofilm in the rat. Vaccine 2011, 29, 1628–1633. [Google Scholar]
- Eriksson, P.O.; Li, J.; Ny, T.; Hellstrom, S. Spontaneous development of otitis media in plasminogen-deficient mice. Int. J. Med. Microbiol. 2006, 296, 501–509. [Google Scholar]
- Ferguson, B.J.; Stolz, D.B. Demonstration of biofilm in human bacterial chronic rhinosinusitis. Am. J. Rhinol. 2005, 19, 452–457. [Google Scholar]
- Harvey, R.J.; Lund, V.J. Biofilms and chronic rhinosinusitis: systematic review of evidence, current concepts and directions for research. Rhinology 2007, 45, 3–13. [Google Scholar]
- Johansson, P.; Kumlien, J.; Carlsoo, B.; Drettner, B.; Nord, C.E. Experimental acute sinusitis in rabbits. A bacteriological and histological study. Acta Otolaryngol. 1988, 105, 357–366. [Google Scholar] [CrossRef]
- Westrin, K.M.; Norlander, T.; Stierna, P.; Carlsoo, B.; Nord, C.E. Experimental maxillary sinusitis induced by Bacteroides fragilis. A bacteriological and histological study in rabbits. Acta Otolaryngol. 1992, 112, 107–114. [Google Scholar]
- Abreu, N.A.; Nagalingam, N.A.; Song, Y.; Roediger, F.C.; Pletcher, S.D.; Goldberg, A.N.; Lynch, S.V. Sinus microbiome diversity depletion and Corynebacterium tuberculostearicum enrichment mediates rhinosinusitis. Sci. Transl. Med. 2012, 4, 151ra124. [Google Scholar]
- Ha, K.R.; Psaltis, A.J.; Tan, L.; Wormald, P.J. A sheep model for the study of biofilms in rhinosinusitis. Am. J. Rhinol. 2007, 21, 339–345. [Google Scholar]
- Le, T.; Psaltis, A.; Tan, L.W.; Wormald, P.J. The efficacy of topical antibiofilm agents in a sheep model of rhinosinusitis. Am. J. Rhinol. 2008, 22, 560–567. [Google Scholar]
- Huang, R.; Li, M.; Gregory, R.L. Bacterial interactions in dental biofilm. Virulence 2011, 2, 435–444. [Google Scholar]
- Kolenbrander, P.E.; Andersen, R.N.; Kazmerzak, K.; Wu, R.; Palmer, R.J., Jr. Spatial organization of oral bacteria in biofilms. Methods Enzymol. 1999, 310, 322–332. [Google Scholar]
- Kolenbrander, P.E. Multispecies communities: interspecies interactions influence growth on saliva as sole nutritional source. Int. J. Oral. Sci. 2011, 3, 49–54. [Google Scholar]
- Quivey, R.G., Jr.; Kuhnert, W.L.; Hahn, K. Adaptation of oral streptococci to low pH. Adv. Microb. Physiol. 2000, 42, 239–274. [Google Scholar]
- Bowen, W.H.; Schilling, K.; Giertsen, E.; Pearson, S.; Lee, S.F.; Bleiweis, A.; Beeman, D. Role of a cell surface-associated protein in adherence and dental caries. Infect. Immun. 1991, 59, 4606–4609. [Google Scholar]
- Catalan, M.A.; Scott-Anne, K.; Klein, M.I.; Koo, H.; Bowen, W.H.; Melvin, J.E. Elevated incidence of dental caries in a mouse model of cystic fibrosis. PLoS One 2011, 6, e16549. [Google Scholar]
- Fitzgerald, R.J.; Keyes, P.H. Demonstration of the etiologic role of streptococci in experimental caries in the hamster. J. Am. Dent. Assoc. 1960, 61, 9–19. [Google Scholar]
- Bainbridge, B.; Verma, R.K.; Eastman, C.; Yehia, B.; Rivera, M.; Moffatt, C.; Bhattacharyya, I.; Lamont, R.J.; Kesavalu, L. Role of Porphyromonas gingivalis phosphoserine phosphatase enzyme SerB in inflammation, immune response, and induction of alveolar bone resorption in rat. Infect. Immun. 2010, 78, 4560–4569. [Google Scholar]
- Okada, Y.; Hamada, N.; Kim, Y.; Takahashi, Y.; Sasaguri, K.; Ozono, S.; Sato, S. Blockade of sympathetic beta-receptors inhibits Porphyromonas gingivalis-induced alveolar bone loss in an experimental rat periodontitis model. Archives of oral biology 2010, 55, 502–508. [Google Scholar]
- Koo, H.; Duarte, S.; Murata, R.M.; Scott-Anne, K.; Gregoire, S.; Watson, G.E.; Singh, A.P.; Vorsa, N. Influence of cranberry proanthocyanidins on formation of biofilms by Streptococcus mutans on saliva-coated apatitic surface and on dental caries development in vivo. Caries Res. 2010, 44, 116–126. [Google Scholar] [CrossRef]
- Koo, H.; Schobel, B.; Scott-Anne, K.; Watson, G.; Bowen, W.H.; Cury, J.A.; Rosalen, P.L.; Park, Y.K. Apigenin and tt-farnesol with fluoride effects on S. mutans biofilms and dental caries. J. Dent. Res. 2005, 84, 1016–1020. [Google Scholar] [CrossRef]
- Assuma, R.; Oates, T.; Cochran, D.; Amar, S.; Graves, D.T. IL-1 and TNF antagonists inhibit the inflammatory response and bone loss in experimental periodontitis. J. Immunol. 1998, 160, 403–409. [Google Scholar]
- Graves, D.T.; Kang, J.; Andriankaja, O.; Wada, K.; Rossa, C., Jr. Animal models to study host-bacteria interactions involved in periodontitis. Front. Oral. Biol. 2012, 15, 117–132. [Google Scholar]
- Socransky, S.S.; Haffajee, A.D.; Cugini, M.A.; Smith, C.; Kent, R.L., Jr. Microbial complexes in subgingival plaque. J. Clin. Periodontol. 1998, 25, 134–144. [Google Scholar]
- Madden, T.E.; Caton, J.G. Animal models for periodontal disease. Methods Enzymol. 1994, 235, 106–119. [Google Scholar]
- Struillou, X.; Boutigny, H.; Soueidan, A.; Layrolle, P. Experimental animal models in periodontology: a review. Open Dent. J. 2010, 4, 37–47. [Google Scholar]
- Giannobile, W.V.; Finkelman, R.D.; Lynch, S.E. Comparison of canine and non-human primate animal models for periodontal regenerative therapy: results following a single administration of PDGF/IGF-I. J. Periodontol. 1994, 65, 1158–1168. [Google Scholar]
- Page, R.C.; Schroeder, H.E. Periodontitis in Man and Other Animals: A Comparative Review. Pub, S.K., Ed.; Basel, 1982; p. 300. [Google Scholar]
- Schou, S.; Holmstrup, P.; Reibel, J.; Juhl, M.; Hjorting-Hansen, E.; Kornman, K.S. Ligature-induced marginal inflammation around osseointegrated implants and ankylosed teeth: stereologic and histologic observations in cynomolgus monkeys (Macaca fascicularis). J. Periodontol. 1993, 64, 529–537. [Google Scholar]
- Yamasaki, A.; Nikai, H.; Niitani, K.; Ijuhin, N. Ultrastructure of the junctional epithelium of germfree rat gingiva. J. Periodontol. 1979, 50, 641–648. [Google Scholar]
- Baker, P.J.; Evans, R.T.; Roopenian, D.C. Oral infection with Porphyromonas gingivalis and induced alveolar bone loss in immunocompetent and severe combined immunodeficient mice. Arch. Oral. Biol. 1994, 39, 1035–1040. [Google Scholar]
- Myneni, S.R.; Settem, R.P.; Connell, T.D.; Keegan, A.D.; Gaffen, S.L.; Sharma, A. TLR2 signaling and Th2 responses drive Tannerella forsythia-induced periodontal bone loss. J. Immunol. 2011, 187, 501–509. [Google Scholar]
- Settem, R.P.; El-Hassan, A.T.; Honma, K.; Stafford, G.P.; Sharma, A. Fusobacterium nucleatum and Tannerella forsythia induce synergistic alveolar bone loss in a mouse periodontitis model. Infect. Immun. 2012, 80, 2436–2443. [Google Scholar]
- Lee, S.F.; Andrian, E.; Rowland, E.; Marquez, I.C. Immune response and alveolar bone resorption in a mouse model of Treponema denticola infection. Infect. Immun. 2009, 77, 694–698. [Google Scholar]
- Polak, D.; Wilensky, A.; Shapira, L.; Halabi, A.; Goldstein, D.; Weiss, E.I.; Houri-Haddad, Y. Mouse model of experimental periodontitis induced by Porphyromonas gingivalis/Fusobacterium nucleatum infection: bone loss and host response. J. Clin. Periodontol. 2009, 36, 406–410. [Google Scholar]
- Schwab, J.M.; Chiang, N.; Arita, M.; Serhan, C.N. Resolvin E1 and protectin D1 activate inflammation-resolution programmes. Nature 2007, 447, 869–874. [Google Scholar]
- Tsukayama, D.T. Pathophysiology of posttraumatic osteomyelitis. Clin. Orthop. Relat. Res. 1999, 360, 22–29. [Google Scholar]
- Gristina, A.G.; Oga, M.; Webb, L.X.; Hobgood, C.D. Adherent bacterial colonization in the pathogenesis of osteomyelitis. Science 1985, 228, 990–993. [Google Scholar]
- Marrie, T.J.; Costerton, J.W. Mode of growth of bacterial pathogens in chronic polymicrobial human osteomyelitis. J. Clin. Microbiol. 1985, 22, 924–933. [Google Scholar]
- Scheman, L.; Janot, M.; Lewin, P. The production of experimental osteomyelitis: prelimary report. JAMA 1941, 117, 1525–1529. [Google Scholar]
- Mader, J.T.; Shirtliff, M.E.; Bergquist, S.C.; Calhoun, J. Antimicrobial treatment of chronic osteomyelitis. Clin. Orthop. Relat. Res. 1999, 47–65. [Google Scholar]
- Brady, R.A.; Leid, J.G.; Camper, A.K.; Costerton, J.W.; Shirtliff, M.E. Identification of Staphylococcus aureus proteins recognized by the antibody-mediated immune response to a biofilm infection. Infect. Immun. 2006, 74, 3415–3426. [Google Scholar]
- Brady, R.A.; O'May, G.A.; Leid, J.G.; Prior, M.L.; Costerton, J.W.; Shirtliff, M.E. Resolution of Staphylococcus aureus biofilm infection using vaccination and antibiotic treatment. Infect. Immun. 2011, 79, 1797–1803. [Google Scholar]
- Poeppl, W.; Tobudic, S.; Lingscheid, T.; Plasenzotti, R.; Kozakowski, N.; Lagler, H.; Georgopoulos, A.; Burgmann, H. Daptomycin, fosfomycin, or both for treatment of methicillin-resistant Staphylococcus aureus osteomyelitis in an experimental rat mode. Antimicrob. Agents Chemother. 2011, 55, 4999–5003. [Google Scholar] [CrossRef]
- Funao, H.; Ishii, K.; Nagai, S.; Sasaki, A.; Hoshikawa, T.; Aizawa, M.; Okada, Y.; Chiba, K.; Koyasu, S.; Toyama, Y.; et al. Establishment of a real-time, quantitative, and reproducible mouse model of Staphylococcus osteomyelitis using bioluminescence imaging. Infect. Immun. 2012, 80, 733–741. [Google Scholar] [CrossRef]
- Marrie, T.J.; Nelligan, J.; Costerton, J.W. A scanning and transmission electron microscopic study of an infected endocardial pacemaker lead. Circulation 1982, 66, 1339–1341. [Google Scholar]
- Lewis, K. Persister cells, dormancy and infectious disease. Nat. Rev. Microbiol. 2007, 5, 48–56. [Google Scholar]
- Christensen, G.D.; Simpson, W.A.; Bisno, A.L.; Beachey, E.H. Experimental foreign body infections in mice challenged with slime-producing Staphylococcus epidermidis. Infect. Immun. 1983, 40, 407–410. [Google Scholar]
- Nickel, J.C.; Grant, S.K.; Costerton, J.W. Catheter-associated bacteriuria. An experimental study. Urology 1985, 26, 369–375. [Google Scholar]
- Rupp, M.E.; Ulphani, J.S.; Fey, P.D.; Mack, D. Characterization of Staphylococcus epidermidis polysaccharide intercellular adhesin/hemagglutinin in the pathogenesis of intravascular catheter-associated infection in a rat model. Infect. Immun. 1999, 67, 2656–2659. [Google Scholar]
- Zimmerli, W.; Waldvogel, F.A.; Vaudaux, P.; Nydegger, U.E. Pathogenesis of foreign body infection: description and characteristics of an animal model. J. Infect. Dis. 1982, 146, 487–497. [Google Scholar]
- Christensen, G.D.; Bisno, A.L.; Parisi, J.T.; McLaughlin, B.; Hester, M.G.; Luther, R.W. Nosocomial septicemia due to multiply antibiotic-resistant Staphylococcus epidermidis. Ann. Intern. Med. 1982, 96, 1–10. [Google Scholar]
- Christensen, G.D.; Simpson, W.A.; Bisno, A.L.; Beachey, E.H. Adherence of slime-producing strains of Staphylococcus epidermidis to smooth surfaces. Infect. Immun. 1982, 37, 318–326. [Google Scholar]
- Rupp, M.E.; Fey, P.D. In vivo models to evaluate adhesion and biofilm formation by Staphylococcus epidermidis. Methods Enzymol. 2001, 336, 206–215. [Google Scholar]
- Rupp, M.E.; Fey, P.D.; Heilmann, C.; Gotz, F. Characterization of the importance of Staphylococcus epidermidis autolysin and polysaccharide intercellular adhesin in the pathogenesis of intravascular catheter-associated infection in a rat model. J. Infect. Dis. 2001, 183, 1038–1042. [Google Scholar]
- Cirioni, O.; Giacometti, A.; Ghiselli, R.; Dell'Acqua, G.; Orlando, F.; Mocchegiani, F.; Silvestri, C.; Licci, A.; Saba, V.; Scalise, G.; et al. RNAIII-inhibiting peptide significantly reduces bacterial load and enhances the effect of antibiotics in the treatment of central venous catheter-associated Staphylococcus aureus infections. J. Infect. Dis. 2006, 193, 180–186. [Google Scholar] [CrossRef]
- Ebert, T.; Smith, S.; Pancari, G.; Wu, X.; Zorman, J.; Clark, D.; Cook, J.; Burns, C.; Antonello, J.M.; Cope, L.; et al. Development of a rat central venous catheter model for evaluation of vaccines to prevent Staphylococcus epidermidis and Staphylococcus aureus early biofilms. Hum. Vaccin 2011, 7, 630–638. [Google Scholar] [CrossRef]
- Hall, L.L.; DeLopez, O.H.; Roberts, A.; Smith, F.A. A procedure for chronic intravenous catheterization in the rabbit. Lab. Anim. Sci. 1974, 24, 79–83. [Google Scholar]
- Kokai-Kun, J.F.; Chanturiya, T.; Mond, J.J. Lysostaphin eradicates established Staphylococcus aureus biofilms in jugular vein catheterized mice. J. Antimicrob. Chemother. 2009, 64, 94–100. [Google Scholar] [CrossRef]
- Giacometti, A.; Cirioni, O.; Ghiselli, R.; Orlando, F.; Mocchegiani, F.; Silvestri, C.; Licci, A.; De Fusco, M.; Provinciali, M.; Saba, V.; et al. Comparative efficacies of quinupristin-dalfopristin, linezolid, vancomycin, and ciprofloxacin in treatment, using the antibiotic-lock technique, of experimental catheter-related infection due to Staphylococcus aureus. Antimicrob. Agents Chemother. 2005, 49, 4042–4045. [Google Scholar] [CrossRef]
- Van Praagh, A.D.; Li, T.; Zhang, S.; Arya, A.; Chen, L.; Zhang, X.X.; Bertolami, S.; Mortin, L.I. Daptomycin antibiotic lock therapy in a rat model of staphylococcal central venous catheter biofilm infections. Antimicrob. Agents Chemother. 2011, 55, 4081–4089. [Google Scholar]
- Capdevila, J.A.; Gavalda, J.; Fortea, J.; Lopez, P.; Martin, M.T.; Gomis, X.; Pahissa, A. Lack of antimicrobial activity of sodium heparin for treating experimental catheter-related infection due to Staphylococcus aureus using the antibiotic-lock technique. Clin. Microbiol. Infect. 2001, 7, 206–212. [Google Scholar]
- Fernandez-Hidalgo, N.; Gavalda, J.; Almirante, B.; Martin, M.T.; Onrubia, P.L.; Gomis, X.; Pahissa, A. Evaluation of linezolid, vancomycin, gentamicin and ciprofloxacin in a rabbit model of antibiotic-lock technique for Staphylococcus aureus catheter-related infection. J. Antimicrob. Chemother. 2010, 65, 525–530. [Google Scholar] [CrossRef]
- Raad, I.; Hachem, R.; Tcholakian, R.K.; Sherertz, R. Efficacy of minocycline and EDTA lock solution in preventing catheter-related bacteremia, septic phlebitis, and endocarditis in rabbit. Antimicrob. Agents Chemother. 2002, 46, 327–332. [Google Scholar]
- Del Pozo, J.L.; Rodil, R.; Aguinaga, A.; Yuste, J.R.; Bustos, C.; Montero, A.; Espinosa, G.; Garcia-Fernandez, N. Daptomycin lock therapy for grampositive long-term catheter-related bloodstream infections. Int. J. Clin. Pract. 2012, 66, 305–308. [Google Scholar]
- Raad, I.I.; Fang, X.; Keutgen, X.M.; Jiang, Y.; Sherertz, R.; Hachem, R. The role of chelators in preventing biofilm formation and catheter-related bloodstream infections. Curr. Opin. Infect. Dis. 2008, 21, 385–392. [Google Scholar]
- Chauhan, A.; Lebeaux, D.; Decante, B.; Kriegel, I.; Escande, M.C.; Ghigo, J.M.; Beloin, C. A rat model of central venous catheter to study establishment of long-term bacterial biofilm and related acute and chronic infections. PLoS One 2012, 7, e37281. [Google Scholar]
- Chauhan, A.; Lebeaux, D.; Ghigo, J.M.; Beloin, C. Full and broad-spectrum in vivo eradication of catheter-associated biofilms using gentamicin-EDTA antibiotic lock therapy. Antimicrob. Agents Chemother. 2012, 56, 6310–6318. [Google Scholar]
- Jones, R.F.; Young, P.S.; Marosszeky, J.E. Treatment of infection in the presence of an indwelling urethral catheter. Br. J. Urol. 1982, 54, 316–319. [Google Scholar]
- Nickel, J.C.; Gristina, A.G.; Costerton, J.W. Electron microscopic study of an infected Foley catheter. Can. J. Surg. 1985, 28, 50–51. [Google Scholar]
- Haraoka, M.; Matsumoto, T.; Takahashi, K.; Kubo, S.; Tanaka, M.; Kumazawa, J. Effect of prednisolone on ascending renal infection due to biofilm disease and lower urinary tract obstruction in rats. Urol. Res. 1995, 22, 383–387. [Google Scholar]
- Cirioni, O.; Ghiselli, R.; Silvestri, C.; Minardi, D.; Gabrielli, E.; Orlando, F.; Rimini, M.; Brescini, L.; Muzzonigro, G.; Guerrieri, M.; et al. Effect of the combination of clarithromycin and amikacin on Pseudomonas aeruginosa biofilm in an animal model of ureteral stent infection. J. Antimicrob. Chemother. 2011, 66, 1318–1323. [Google Scholar] [CrossRef]
- Allison, K.R.; Brynildsen, M.P.; Collins, J.J. Metabolite-enabled eradication of bacterial persisters by aminoglycosides. Nature 2011, 473, 216–220. [Google Scholar]
- Fung, L.C.; Mittelman, M.W.; Thorner, P.S.; Khoury, A.E. A novel rabbit model for the evaluation of biomaterial associated urinary tract infection. Can. J. Urol. 2003, 10, 2007–2012. [Google Scholar]
- Guiton, P.S.; Hung, C.S.; Hancock, L.E.; Caparon, M.G.; Hultgren, S.J. Enterococcal biofilm formation and virulence in an optimized murine model of foreign body-associated urinary tract infections. Infect. Immun. 2010, 78, 4166–4175. [Google Scholar]
- Cadieux, P.A.; Chew, B.H.; Knudsen, B.E.; Dejong, K.; Rowe, E.; Reid, G.; Denstedt, J.D. Triclosan loaded ureteral stents decrease Proteus mirabilis 296 infection in a rabbit urinary tract infection model. J. Urol. 2006, 175, 2331–2335. [Google Scholar]
- Kadurugamuwa, J.L.; Modi, K.; Yu, J.; Francis, K.P.; Purchio, T.; Contag, P.R. Noninvasive biophotonic imaging for monitoring of catheter-associated urinary tract infections and therapy in mice. Infect. Immun. 2005, 73, 3878–3887. [Google Scholar]
- Guiton, P.S.; Cusumano, C.K.; Kline, K.A.; Dodson, K.W.; Han, Z.; Janetka, J.W.; Henderson, J.P.; Caparon, M.G.; Hultgren, S.J. Combinatorial small-molecule therapy prevents uropathogenic Escherichia coli catheter-associated urinary tract infections in mice. Antimicrob. Agents Chemother. 2012, 56, 4738–4745. [Google Scholar]
- Morck, D.W.; Lam, K.; McKay, S.G.; Olson, M.E.; Prosser, B.; Ellis, B.D.; Cleeland, R.; Costerton, J.W. Comparative evaluation of fleroxacin, ampicillin, trimethoprimsulfamethoxazole, and gentamicin as treatments of catheter-associated urinary tract infection in a rabbit model. Int. J. Antimicrob. Agents 1994, 4 Suppl 2, S21–S27. [Google Scholar]
- Olson, M.E.; Nickel, J.C.; Khoury, A.E.; Morck, D.W.; Cleeland, R.; Costerton, J.W. Amdinocillin treatment of catheter-associated bacteriuria in rabbits. J. Infect. Dis. 1989, 159, 1065–1072. [Google Scholar]
- Hachem, R.; Reitzel, R.; Borne, A.; Jiang, Y.; Tinkey, P.; Uthamanthil, R.; Chandra, J.; Ghannoum, M.; Raad, I. Novel antiseptic urinary catheters for prevention of urinary tract infections: correlation of in vivo and In vitro test results. Antimicrob. Agents Chemother. 2009, 53, 5145–5149. [Google Scholar]
- Hazan, Z.; Zumeris, J.; Jacob, H.; Raskin, H.; Kratysh, G.; Vishnia, M.; Dror, N.; Barliya, T.; Mandel, M.; Lavie, G. Effective prevention of microbial biofilm formation on medical devices by low-energy surface acoustic waves. Antimicrob. Agents Chemother. 2006, 50, 4144–4152. [Google Scholar]
- Davis, C.P.; Shirtliff, M.E.; Scimeca, J.M.; Hoskins, S.L.; Warren, M.M. In vivo reduction of bacterial populations in the urinary tract of catheterized sheep by iontophoresis. J Urol. 1995, 154, 1948–1953. [Google Scholar]
- Pickard, R.; Lam, T.; MacLennan, G.; Starr, K.; Kilonzo, M.; McPherson, G.; Gillies, K.; McDonald, A.; Walton, K.; Buckley, B.; et al. Antimicrobial catheters for reduction of symptomatic urinary tract infection in adults requiring short-term catheterisation in hospital: a multicentre randomised controlled trial. Lancet 2012, 380, 1927–1935. [Google Scholar] [CrossRef]
- Rodet, A. Physiologie pathologique - étude expérimentale sur l’ostéomyelite infectieuse. C R Acad. Sci. 1885, 99, 569–571. [Google Scholar]
- Andriole, V.T.; Nagel, D.A.; Southwick, W.O. A paradigm for human chronic osteomyelitis. J. Bone Joint Surg. Am. 1973, 55, 1511–1515. [Google Scholar]
- Gristina, A.G.; Costerton, J.W. Bacterial adherence and the glycocalyx and their role in musculoskeletal infection. Orthop. Clin. North. Am. 1984, 15, 517–535. [Google Scholar]
- Mayberry-Carson, K.J.; Tober-Meyer, B.; Smith, J.K.; Lambe, D.W., Jr.; Costerton, J.W. Bacterial adherence and glycocalyx formation in osteomyelitis experimentally induced with Staphylococcus aureus. Infect. Immun. 1984, 43, 825–833. [Google Scholar]
- Petty, W.; Spanier, S.; Shuster, J.J.; Silverthorne, C. The influence of skeletal implants on incidence of infection. Experiments in a canine model. J. Bone Joint Surg. Am. 1985, 67, 1236–1244. [Google Scholar]
- Sanzen, L.; Linder, L. Infection adjacent to titanium and bone cement implants: an experimental study in rabbits. Biomaterials 1995, 16, 1273–1277. [Google Scholar]
- Evans, R.P.; Nelson, C.L.; Harrison, B.H. The effect of wound environment on the incidence of acute osteomyelitis. Clin. Orthop. Relat. Res. 1993, 289–297. [Google Scholar]
- Prabhakara, R.; Harro, J.M.; Leid, J.G.; Keegan, A.D.; Prior, M.L.; Shirtliff, M.E. Suppression of the inflammatory immune response prevents the development of chronic biofilm infection due to methicillin-resistant Staphylococcus aureus. Infect. Immun. 2011, 79, 5010–5018. [Google Scholar]
- Lucke, M.; Schmidmaier, G.; Sadoni, S.; Wildemann, B.; Schiller, R.; Haas, N.P.; Raschke, M. Gentamicin coating of metallic implants reduces implant-related osteomyelitis in rats. Bone 2003, 32, 521–531. [Google Scholar]
- Lucke, M.; Wildemann, B.; Sadoni, S.; Surke, C.; Schiller, R.; Stemberger, A.; Raschke, M.; Haas, N.P.; Schmidmaier, G. Systemic versus local application of gentamicin in prophylaxis of implant-related osteomyelitis in a rat model. Bone 2005, 36, 770–778. [Google Scholar]
- Fitzgerald, R.H., Jr. Experimental osteomyelitis: description of a canine model and the role of depot administration of antibiotics in the prevention and treatment of sepsis. J. Bone Joint Surg. Am. 1983, 65, 371–380. [Google Scholar]
- Fuchs, T.; Stange, R.; Schmidmaier, G.; Raschke, M.J. The use of gentamicin-coated nails in the tibia: preliminary results of a prospective study. Arch. Orthop. Trauma Surg. 2011, 131, 1419–1425. [Google Scholar]
- Belmatoug, N.; Cremieux, A.C.; Bleton, R.; Volk, A.; Saleh-Mghir, A.; Grossin, M.; Garry, L.; Carbon, C. A new model of experimental prosthetic joint infection due to methicillin-resistant Staphylococcus aureus: a microbiologic, histopathologic, and magnetic resonance imaging characterization. J. Infect. Dis. 1996, 174, 414–417. [Google Scholar] [CrossRef]
- Schurman, D.J.; Trindade, C.; Hirshman, H.P.; Moser, K.; Kajiyama, G.; Stevens, P. Antibiotic-acrylic bone cement composites. Studies of gentamicin and Palacos. J. Bone Joint Surg. Am. 1978, 60, 978–984. [Google Scholar]
- Blomgren, G.; Lindgren, U. Late hematogenous infection in total joint replacement: studies of gentamicin and bone cement in the rabbit. Clin. Orthop. Relat. Res. 1981, 244–248. [Google Scholar]
- Bernthal, N.M.; Stavrakis, A.I.; Billi, F.; Cho, J.S.; Kremen, T.J.; Simon, S.I.; Cheung, A.L.; Finerman, G.A.; Lieberman, J.R.; Adams, J.S.; et al. A mouse model of post-arthroplasty Staphylococcus aureus joint infection to evaluate in vivo the efficacy of antimicrobial implant coatings. PLoS One 2010, 5, e12580. [Google Scholar]
- Cremieux, A.C.; Mghir, A.S.; Bleton, R.; Manteau, M.; Belmatoug, N.; Massias, L.; Garry, L.; Sales, N.; Maziere, B.; Carbon, C. Efficacy of sparfloxacin and autoradiographic diffusion pattern of [14C]Sparfloxacin in experimental Staphylococcus aureus joint prosthesis infection. Antimicrob. Agents Chemother. 1996, 40, 2111–2116. [Google Scholar]
- Inglis, T.J.; Millar, M.R.; Jones, J.G.; Robinson, D.A. Tracheal tube biofilm as a source of bacterial colonization of the lung. J. Clin. Microbiol. 1989, 27, 2014–2018. [Google Scholar]
- Gil-Perotin, S.; Ramirez, P.; Marti, V.; Sahuquillo, J.M.; Gonzalez, E.; Calleja, I.; Menendez, R.; Bonastre, J. Implications of endotracheal tube biofilm in ventilator-associated pneumonia response: a state of concept. Crit. Care 2012, 16, R93. [Google Scholar]
- Berra, L.; De Marchi, L.; Yu, Z.X.; Laquerriere, P.; Baccarelli, A.; Kolobow, T. Endotracheal tubes coated with antiseptics decrease bacterial colonization of the ventilator circuits, lungs, and endotracheal tube. Anesthesiology 2004, 100, 1446–1456. [Google Scholar] [CrossRef]
- Fernandez-Barat, L.; Li Bassi, G.; Ferrer, M.; Bosch, A.; Calvo, M.; Vila, J.; Gabarrus, A.; Martinez-Olondris, P.; Rigol, M.; Esperatti, M.; et al. Direct analysis of bacterial viability in endotracheal tube biofilm from a pig model of methicillin-resistant Staphylococcus aureus pneumonia following antimicrobial therapy. FEMS Immunol. Med. Microbiol. 2012, 65, 309–317. [Google Scholar] [CrossRef]
- Olson, M.E.; Harmon, B.G.; Kollef, M.H. Silver-coated endotracheal tubes associated with reduced bacterial burden in the lungs of mechanically ventilated dogs. Chest 2002, 121, 863–870. [Google Scholar]
- Kollef, M.H.; Afessa, B.; Anzueto, A.; Veremakis, C.; Kerr, K.M.; Margolis, B.D.; Craven, D.E.; Roberts, P.R.; Arroliga, A.C.; Hubmayr, R.D.; et al. Silver-coated endotracheal tubes and incidence of ventilator-associated pneumonia: the NASCENT randomized trial. JAMA 2008, 300, 805–813. [Google Scholar] [CrossRef]
- Berra, L.; Curto, F.; Li Bassi, G.; Laquerriere, P.; Baccarelli, A.; Kolobow, T. Antibacterial-coated tracheal tubes cleaned with the Mucus Shaver : a novel method to retain long-term bactericidal activity of coated tracheal tubes. Intensive Care Med. 2006, 32, 888–893. [Google Scholar]
- Berra, L.; Coppadoro, A.; Bittner, E.A.; Kolobow, T.; Laquerriere, P.; Pohlmann, J.R.; Bramati, S.; Moss, J.; Pesenti, A. A clinical assessment of the Mucus Shaver: a device to keep the endotracheal tube free from secretions. Crit. Care Med. 2012, 40, 119–124. [Google Scholar]
- Fernandez-Barat, L.; Ferrer, M.; Sierra, J.M.; Soy, D.; Guerrero, L.; Vila, J.; Li Bassi, G.; Cortadellas, N.; Martinez-Olondris, P.; Rigol, M.; et al. Linezolid limits burden of methicillin-resistant Staphylococcus aureus in biofilm of tracheal tubes. Crit. Care Med. 2012, 40, 2385–2389. [Google Scholar] [CrossRef]
- Tollefson, D.F.; Bandyk, D.F.; Kaebnick, H.W.; Seabrook, G.R.; Towne, J.B. Surface biofilm disruption. Enhanced recovery of microorganisms from vascular prostheses. Arch. Surg. 1987, 122, 38–43. [Google Scholar] [CrossRef]
- Gahtan, V.; Esses, G.E.; Bandyk, D.F.; Nelson, R.T.; Dupont, E.; Mills, J.L. Antistaphylococcal activity of rifampin-bonded gelatin-impregnated Dacron grafts. J. Surg. Res. 1995, 58, 105–110. [Google Scholar]
- Gao, H.; Sandermann, J.; Prag, J.; Lund, L.; Lindholt, J.S. Rifampicin-soaked silver polyester versus expanded polytetrafluoro-ethylene grafts for in situ replacement of infected grafts in a porcine randomised controlled trial. Eur. J. Vasc. Endovasc. Surg. 2012, 43, 582–587. [Google Scholar]
- Aboshady, I.; Raad, I.; Shah, A.S.; Vela, D.; Dvorak, T.; Safi, H.J.; Buja, L.M.; Khalil, K.G. A pilot study of a triple antimicrobial-bonded Dacron graft for the prevention of aortic graft infection. J. Vasc. Surg. 2012, 56, 794–801. [Google Scholar]
- Lew, W.; Moore, W. Antibiotic-impregnated grafts for aortic reconstruction. Semin. Vasc. Surg. 2011, 24, 211–219. [Google Scholar]
- Virden, C.P.; Dobke, M.K.; Stein, P.; Parsons, C.L.; Frank, D.H. Subclinical infection of the silicone breast implant surface as a possible cause of capsular contracture. Aesthetic Plast Surg. 1992, 16, 173–179. [Google Scholar]
- Jacombs, A.; Allan, J.; Hu, H.; Valente, P.M.; Wessels, W.L.; Deva, A.K.; Vickery, K. Prevention of biofilm-induced capsular contracture with antibiotic-impregnated mesh in a porcine model. Aesthet Surg. J. 2012, 32, 886–891. [Google Scholar]
- Tamboto, H.; Vickery, K.; Deva, A.K. Subclinical (biofilm) infection causes capsular contracture in a porcine model following augmentation mammaplasty. Plast Reconstr. Surg. 2010, 126, 835–842. [Google Scholar]
- Slusher, M.M.; Myrvik, Q.N.; Lewis, J.C.; Gristina, A.G. Extended-wear lenses, biofilm, and bacterial adhesion. Arch. Ophthalmol. 1987, 105, 110–115. [Google Scholar] [CrossRef]
- Szczotka-Flynn, L.B.; Pearlman, E.; Ghannoum, M. Microbial contamination of contact lenses, lens care solutions, and their accessories: a literature review. Eye Contact Lens 2010, 36, 116–129. [Google Scholar] [CrossRef]
- Cole, N.; Hume, E.B.; Vijay, A.K.; Sankaridurg, P.; Kumar, N.; Willcox, M.D. In vivo performance of melimine as an antimicrobial coating for contact lenses in models of CLARE and CLPU. Invest Ophthalmol. Vis Sci. 2010, 51, 390–395. [Google Scholar]
- Sun, Y.; Chandra, J.; Mukherjee, P.; Szczotka-Flynn, L.; Ghannoum, M.A.; Pearlman, E. A murine model of contact lens-associated Fusarium keratitis. Invest. Ophthalmol. Vis. Sci. 2010, 51, 1511–1516. [Google Scholar]
- Wood, S.R.; Kirkham, J.; Marsh, P.D.; Shore, R.C.; Nattress, B.; Robinson, C. Architecture of intact natural human plaque biofilms studied by confocal laser scanning microscopy. J. Dental Res. 2000, 79, 21–27. [Google Scholar]
- Berglundh, T.; Lindhe, J.; Marinello, C.; Ericsson, I.; Liljenberg, B. Soft tissue reaction to de novo plaque formation on implants and teeth. An experimental study in the dog. Clin. Oral. Implants Res. 1992, 3, 1–8. [Google Scholar]
- Albouy, J.P.; Abrahamsson, I.; Berglundh, T. Spontaneous progression of experimental peri-implantitis at implants with different surface characteristics: an experimental study in dogs. J. Clin. Periodontol. 2012, 39, 182–187. [Google Scholar]
- Freire, M.O.; Sedghizadeh, P.P.; Schaudinn, C.; Gorur, A.; Downey, J.S.; Choi, J.H.; Chen, W.; Kook, J.K.; Chen, C.; Goodman, S.D.; et al. Development of an animal model for Aggregatibacteractinomycetemcomitans biofilm-mediated oral osteolytic infection: a preliminary study. J. Periodontol. 2011, 82, 778–789. [Google Scholar] [CrossRef]
- Rimondini, L.; Fare, S.; Brambilla, E.; Felloni, A.; Consonni, C.; Brossa, F.; Carrassi, A. The effect of surface roughness on early in vivo plaque colonization on titanium. J. Periodontol. 1997, 68, 556–562. [Google Scholar] [CrossRef]
- Scarano, A.; Piattelli, M.; Caputi, S.; Favero, G.A.; Piattelli, A. Bacterial adhesion on commercially pure titanium and zirconium oxide disks: an in vivo human study. J. Periodontol. 2004, 75, 292–296. [Google Scholar]
- Garrigos, C.; Murillo, O.; Lora-Tamayo, J.; Verdaguer, R.; Tubau, F.; Cabellos, C.; Cabo, J.; Ariza, J. Fosfomycin-Daptomycin and Other Fosfomycin Combinations as Alternative Therapies in Experimental Foreign-Body Infection by Methicillin-Resistant Staphylococcus aureus. Antimicrob. Agents Chemother. 2013, 57, 606–610. [Google Scholar]
- Zimmerli, W.; Widmer, A.F.; Blatter, M.; Frei, R.; Ochsner, P.E. Role of rifampin for treatment of orthopedic implant-related staphylococcal infections: a randomized controlled trial. Foreign-Body Infection (FBI) Study Group. JAMA 1998, 279, 1537–1541. [Google Scholar] [CrossRef]
- Zimmerli, W. Experimental models in the investigation of device-related infections. J. Antimicrob. Chemother. 1993, 31 Suppl D, 97–102. [Google Scholar]
- Beenken, K.E.; Dunman, P.M.; McAleese, F.; Macapagal, D.; Murphy, E.; Projan, S.J.; Blevins, J.S.; Smeltzer, M.S. Global gene expression in Staphylococcus aureus biofilms. J. Bacteriol. 2004, 186, 4665–4684. [Google Scholar]
- Thurlow, L.R.; Hanke, M.L.; Fritz, T.; Angle, A.; Aldrich, A.; Williams, S.H.; Engebretsen, I.L.; Bayles, K.W.; Horswill, A.R.; Kielian, T. Staphylococcus aureus biofilms prevent macrophage phagocytosis and attenuate inflammation in vivo. J. Immunol. 2011, 186, 6585–6596. [Google Scholar] [CrossRef]
- Weiss, E.C.; Zielinska, A.; Beenken, K.E.; Spencer, H.J.; Daily, S.J.; Smeltzer, M.S. Impact of sarA on daptomycin susceptibility of Staphylococcus aureus biofilms in vivo. Antimicrob. Agents Chemother. 2009, 53, 4096–4102. [Google Scholar] [CrossRef]
- Cobrado, L.; Silva-Dias, A.; Azevedo, M.M.; Pina-Vaz, C.; Rodrigues, A.G. In vivo antibiofilm effect of cerium, chitosan and hamamelitannin against usual agents of catheter-related bloodstream infections. J. Antimicrob. Chemother. 2013, 68, 126–130. [Google Scholar]
- Kadurugamuwa, J.L.; Sin, L.; Albert, E.; Yu, J.; Francis, K.; DeBoer, M.; Rubin, M.; Bellinger-Kawahara, C.; Parr Jr, T.R.; Contag, P.R. Direct continuous method for monitoring biofilm infection in a mouse model. Infect. Immun. 2003, 71, 882–890. [Google Scholar]
- Raad, I.; Darouiche, R.; Hachem, R.; Mansouri, M.; Bodey, G.P. The broad-spectrum activity and efficacy of catheters coated with minocycline and rifampin. J. Infect. Dis. 1996, 173, 418–424. [Google Scholar]
- Darouiche, R.O.; Raad, I.I.; Heard, S.O.; Thornby, J.I.; Wenker, O.C.; Gabrielli, A.; Berg, J.; Khardori, N.; Hanna, H.; Hachem, R.; et al. A comparison of two antimicrobial-impregnated central venous catheters. Catheter Study Group. N. Engl. J. Med. 1999, 340, 1–8. [Google Scholar] [CrossRef]
- Darouiche, R.O.; Mansouri, M.D.; Gawande, P.V.; Madhyastha, S. Antimicrobial and antibiofilm efficacy of triclosan and DispersinB combination. J. Antimicrob. Chemother. 2009, 64, 88–93. [Google Scholar]
- Ensing, G.T.; Roeder, B.L.; Nelson, J.L.; van Horn, J.R.; van der Mei, H.C.; Busscher, H.J.; Pitt, W.G. Effect of pulsed ultrasound in combination with gentamicin on bacterial viability in biofilms on bone cements in vivo. J. Appl. Microbiol. 2005, 99, 443–448. [Google Scholar] [CrossRef]
- Hansen, L.K.; Brown, M.; Johnson, D.; Palme II, D.F.; Love, C.; Darouiche, R. In vivo model of human pathogen infection and demonstration of efficacy by an antimicrobial pouch for pacing devices. Pacing Clin. Electrophysiol. 2009, 32, 898–907. [Google Scholar]
- Illingworth, B.L.; Tweden, K.; Schroeder, R.F.; Cameron, J.D. In vivo efficacy of silver-coated (Silzone) infection-resistant polyester fabric against a biofilm-producing bacteria, Staphylococcus epidermidis. J. Heart Valve Dis. 1998, 7, 524–530. [Google Scholar]
- Illingworth, B.; Bianco, R.W.; Weisberg, S. In vivo efficacy of silver-coated fabric against Staphylococcus epidermidis. J. Heart Valve Dis. 2000, 9, 135–141. [Google Scholar]
- Darouiche, R.O.; Meade, R.; Mansouri, M.; Raad, I.I. In vivo efficacy of antimicrobial-coated fabric from prosthetic heart valve sewing rings. J. Heart Valve Dis. 1998, 7, 639–646. [Google Scholar]
- Darouiche, R.O.; Mansouri, M.D.; Meade, R. In-vitro and in vivo activity of antimicrobial-coated prosthetic heart valve sewing cuffs. J. Heart Valve Dis. 2002, 11, 99–104. [Google Scholar]
- Nakamoto, D.A.; Rosenfield, M.L.; Haaga, J.R.; Merritt, K.; Sachs, P.B.; Hutton, M.C.; Graham, R.C.; Rowland, D.Y. Young Investigator Award. In vivo treatment of infected prosthetic graft material with urokinase: an animal model. J. Vasc. Interv. Radiol. 1994, 5, 549–552. [Google Scholar] [CrossRef]
- Garrison, J.R., Jr.; Henke, P.K.; Smith, K.R.; Brittian, K.R.; Lam, T.M.; Peyton, J.C.; Bergamini, T.M. In vitro and in vivo effects of rifampin on Staphylococcus epidermidis graft infections. ASAIO J. 1997, 43, 8–12. [Google Scholar]
- Cirioni, O.; Mocchegiani, F.; Cacciatore, I.; Vecchiet, J.; Silvestri, C.; Baldassarre, L.; Ucciferri, C.; Orsetti, E.; Castelli, P.; Provinciali, M.; Vivarelli, M.; Fornasari, E.; Giacometti, A. Quorum sensing inhibitor FS3-coated vascular graft enhances daptomycin efficacy in a rat model of staphylococcal infection. Peptides 2013, 40, 77–81. [Google Scholar] [CrossRef]
- Rediske, A.M.; Roeder, B.L.; Nelson, J.L.; Robison, R.L.; Schaalje, G.B.; Robison, R.A.; Pitt, W.G. Pulsed ultrasound enhances the killing of Escherichia coli biofilms by aminoglycoside antibiotics in vivo. Antimicrob. Agents Chemother. 2000, 44, 771–772. [Google Scholar] [CrossRef]
- Anguita-Alonso, P.; Giacometti, A.; Cirioni, O.; Ghiselli, R.; Orlando, F.; Saba, V.; Scalise, G.; Sevo, M.; Tuzova, M.; Patel, R.; et al. RNAIII-inhibiting-peptide-loaded polymethylmethacrylate prevents in vivo Staphylococcus aureus biofilm formation. Antimicrob. Agents Chemother. 2007, 51, 2594–2596. [Google Scholar] [CrossRef]
- Engelsman, A.F.; van Dam, G.M.; van der Mei, H.C.; Busscher, H.J.; Ploeg, R.J. In vivo evaluation of bacterial infection involving morphologically different surgical meshes. Ann. Surg. 2010, 251, 133–137. [Google Scholar]
- Daghighi, S.; Sjollema, J.; Jaspers, V.; de Boer, L.; Zaat, S.A.; Dijkstra, R.J.; van Dam, G.M.; van der Mei, H.C.; Busscher, H.J. Persistence of a bioluminescent Staphylococcus aureus strain on and around degradable and non-degradable surgical meshes in a murine model. Acta Biomater 2012, 8, 3991–3996. [Google Scholar]
- Klionsky, D.J.; Abdalla, F.C.; Abeliovich, H.; Abraham, R.T.; Acevedo-Arozena, A.; Adeli, K.; Agholme, L.; Agnello, M.; Agostinis, P.; Aguirre-Ghiso, J.A.; et al. Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy 2012, 8, 445–544. [Google Scholar] [CrossRef]
- Romero, D.; Kolter, R. Will biofilm disassembly agents make it to market? Trends Microbiol. 2011, 19, 304–306. [Google Scholar] [CrossRef]
- Von Herrath, M.G.; Nepom, G.T. Lost in translation: barriers to implementing clinical immunotherapeutics for autoimmunity. J. Exp. Med. 2005, 202, 1159–1162. [Google Scholar]
- Warren, H.S.; Fitting, C.; Hoff, E.; Adib-Conquy, M.; Beasley-Topliffe, L.; Tesini, B.; Liang, X.; Valentine, C.; Hellman, J.; Hayden, D.; et al. Resilience to bacterial infection: difference between species could be due to proteins in serum. J. Infect. Dis. 2009, 201, 223–232. [Google Scholar]
- Bolker, J. Model organisms: There's more to life than rats and flies. Nature 2012, 491, 31–33. [Google Scholar]
- Schnabel, J. Neuroscience: Standard model. Nature 2008, 454, 682–685. [Google Scholar]
- Kilkenny, C.; Browne, W.J.; Cuthill, I.C.; Emerson, M.; Altman, D.G. Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research. PLoS Biol. 2010, 8, e1000412. [Google Scholar]
- Madsen, J.S.; Burmolle, M.; Hansen, L.H.; Sorensen, S.J. The interconnection between biofilm formation and horizontal gene transfer. FEMS Immunol. Med. Microbiol. 2012, 65, 183–195. [Google Scholar]
- Hennequin, C.; Aumeran, C.; Robin, F.; Traore, O.; Forestier, C. Antibiotic resistance and plasmid transfer capacity in biofilm formed with a CTX-M-15-producing Klebsiella pneumoniae isolate. J. Antimicrob. Chemother. 2012, 67, 2123–2130. [Google Scholar]
- Guerin, E.; Cambray, G.; Sanchez-Alberola, N.; Campoy, S.; Erill, I.; Da Re, S.; Gonzalez-Zorn, B.; Barbe, J.; Ploy, M.C.; Mazel, D. The SOS response controls integron recombination. Science 2009, 324, 1034. [Google Scholar]
- Hoffman, L.R.; D'Argenio, D.A.; MacCoss, M.J.; Zhang, Z.; Jones, R.A.; Miller, S.I. Aminoglycoside antibiotics induce bacterial biofilm formation. Nature 2005, 436, 1171–1175. [Google Scholar]
- Kohanski, M.A.; DePristo, M.A.; Collins, J.J. Sublethal antibiotic treatment leads to multidrug resistance via radical-induced mutagenesis. Mol. Cell 2010, 37, 311–320. [Google Scholar]
- Peters, B.M.; Jabra-Rizk, M.A.; O'May, G.A.; Costerton, J.W.; Shirtliff, M.E. Polymicrobial interactions: impact on pathogenesis and human disease. Clin. Microbiol. Rev. 2012, 25, 193–213. [Google Scholar]
- Wolcott, R.; Costerton, J.W.; Raoult, D.; Cutler, S.J. The polymicrobial nature of biofilm infection. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2013, 19, 107–112. [Google Scholar]
- Frank, D.N.; Wilson, S.S.; St Amand, A.L.; Pace, N.R. Culture-independent microbiological analysis of foley urinary catheter biofilms. PLoS One 2009, 4, e7811. [Google Scholar]
- Larsen, M.K.; Thomsen, T.R.; Moser, C.; Hoiby, N.; Nielsen, P.H. Use of cultivation-dependent and -independent techniques to assess contamination of central venous catheters: a pilot study. BMC Clin. Pathol. 2008, 8, 10. [Google Scholar]
- Donelli, G.; Vuotto, C.; Cardines, R.; Mastrantonio, P. Biofilm-growing intestinal anaerobic bacteria. FEMS Immunol. Med. Microbiol. 2012, 65, 318–325. [Google Scholar] [CrossRef]
- Ramsey, M.M.; Rumbaugh, K.P.; Whiteley, M. Metabolite cross-feeding enhances virulence in a model polymicrobial infection. PLoS Pathog. 2011, 7, e1002012. [Google Scholar]
- Korgaonkar, A.; Trivedi, U.; Rumbaugh, K.P.; Whiteley, M. Community surveillance enhances Pseudomonas aeruginosa virulence during polymicrobial infection. Proc. Natl. Acad. Sci. USA 2013, 110, 1059–1064. [Google Scholar]
- Armbruster, C.E.; Hong, W.; Pang, B.; Weimer, K.E.; Juneau, R.A.; Turner, J.; Swords, W.E. Indirect pathogenicity of Haemophilus influenzae and Moraxella catarrhalis in polymicrobial otitis media occurs via interspecies quorum signaling. MBio 2010, 1, e00102. [Google Scholar]
- Dalton, T.; Dowd, S.E.; Wolcott, R.D.; Sun, Y.; Watters, C.; Griswold, J.A.; Rumbaugh, K.P. An in vivo polymicrobial biofilm wound infection model to study interspecies interactions. PLoS One 2011, 6, e27317. [Google Scholar]
- Kline, K.A.; Schwartz, D.J.; Gilbert, N.M.; Hultgren, S.J.; Lewis, A.L. Immune modulation by group B Streptococcus influences host susceptibility to urinary tract infection by uropathogenic Escherichia coli. Infect. Immun. 2012, 80, 4186–4194. [Google Scholar]
- Conrad, D.; Haynes, M.; Salamon, P.; Rainey, P.B.; Youle, M.; Rohwer, F. Cystic fibrosis therapy: a community ecology perspective. Am. J. Respir. Cell Mol. Biol. 2013, 48, 150–156. [Google Scholar]
- Costello, E.K.; Stagaman, K.; Dethlefsen, L.; Bohannan, B.J.; Relman, D.A. The application of ecological theory toward an understanding of the human microbiome. Science 2012, 336, 1255–1262. [Google Scholar]
- Reppas, A.I.; Spiliotis, K.G.; Siettos, C.I. Epidemionics: from the host-host interactions to the systematic analysis of the emergent macroscopic dynamics of epidemic networks. Virulence 2010, 1, 338–349. [Google Scholar]
- Zur Wiesch, P.A.; Kouyos, R.; Engelstadter, J.; Regoes, R.R.; Bonhoeffer, S. Population biological principles of drug-resistance evolution in infectious diseases. Lancet Infect. Dis. 2011, 11, 236–247. [Google Scholar]
- Kim, H.U.; Sohn, S.B.; Lee, S.Y. Metabolic network modeling and simulation for drug targeting and discovery. Biotechnol. J. 2012, 7, 330–342. [Google Scholar]
- Chavali, A.K.; D'Auria, K.M.; Hewlett, E.L.; Pearson, R.D.; Papin, J.A. A metabolic network approach for the identification and prioritization of antimicrobial drug targets. Trends Microbiol. 2012, 20, 113–123. [Google Scholar]
- Sigurdsson, G.; Fleming, R.M.; Heinken, A.; Thiele, I. A systems biology approach to drug targets in Pseudomonas aeruginosa biofilm. PLoS One 2012, 7, e34337. [Google Scholar]
- Fagerlind, M.G.; Webb, J.S.; Barraud, N.; McDougald, D.; Jansson, A.; Nilsson, P.; Harlen, M.; Kjelleberg, S.; Rice, S.A. Dynamic modelling of cell death during biofilm development. J. Theor. Biol. 2012, 295, 23–36. [Google Scholar]
- Ilie, O.; van Loosdrecht, M.C.; Picioreanu, C. Mathematical modelling of tooth demineralisation and pH profiles in dental plaque. J. Theor. Biol. 2012, 309, 159–175. [Google Scholar]
- Hindre, T.; Knibbe, C.; Beslon, G.; Schneider, D. New insights into bacterial adaptation through in vivo and in silico experimental evolution. Nat. Rev. Microbiol. 2012, 10, 352–365. [Google Scholar]
- Kawecki, T.J.; Lenski, R.E.; Ebert, D.; Hollis, B.; Olivieri, I.; Whitlock, M.C. Experimental evolution. Trends Ecol. Evol. 2012, 27, 547–560. [Google Scholar]
- Bianconi, I.; Milani, A.; Cigana, C.; Paroni, M.; Levesque, R.C.; Bertoni, G.; Bragonzi, A. Positive signature-tagged mutagenesis in Pseudomonas aeruginosa: tracking patho-adaptive mutations promoting airways chronic infection. PLoS Pathog. 2011, 7, e1001270. [Google Scholar]
- Hogardt, M.; Heesemann, J. Microevolution of Pseudomonas aeruginosa to a Chronic Pathogen of the Cystic Fibrosis Lung. Curr Top. Microbiol. Immunol. 2012, 2012, 91–118. [Google Scholar]
- Traverse, C.C.; Mayo-Smith, L.M.; Poltak, S.R.; Cooper, V.S. Tangled bank of experimentally evolved Burkholderia biofilms reflects selection during chronic infections. Proc. Natl. Acad. Sci. USA 2012, 110, E250–259. [Google Scholar]
- Yang, L.; Jelsbak, L.; Marvig, R.L.; Damkiaer, S.; Workman, C.T.; Rau, M.H.; Hansen, S.K.; Folkesson, A.; Johansen, H.K.; Ciofu, O.; et al. Evolutionary dynamics of bacteria in a human host environment. Proc. Natl. Acad. Sci. USA 2011, 108, 7481–7486. [Google Scholar] [CrossRef]
- Holmes, E.; Kinross, J.; Gibson, G.R.; Burcelin, R.; Jia, W.; Pettersson, S.; Nicholson, J.K. Therapeutic modulation of microbiota-host metabolic interactions. Sci. Transl. Med. 2012, 4, 137rv136. [Google Scholar]
- Mee, M.T.; Wang, H.H. Engineering ecosystems and synthetic ecologies. Mol. bioSystems 2012, 8, 2470–2483. [Google Scholar]
- Anderl, J.N.; Franklin, M.J.; Stewart, P.S. Role of antibiotic penetration limitation in Klebsiella pneumoniae biofilm resistance to ampicillin and ciprofloxacin. Antimicrob. Agents Chemother. 2000, 44, 1818–1824. [Google Scholar]
- Zuroff, T.R.; Bernstein, H.; Lloyd-Randolfi, J.; Jimenez-Taracido, L.; Stewart, P.S.; Carlson, R.P. Robustness analysis of culturing perturbations on Escherichia coli colony biofilm beta-lactam and aminoglycoside antibiotic tolerance. BMC Microbiol. 2010, 10, 185. [Google Scholar]
- Genevaux, P.; Muller, S.; Bauda, P. A rapid screening procedure to identify mini-Tn10 insertion mutants of Escherichia coli K-12 with altered adhesion properties. FEMS Microbiol. Lett. 1996, 142, 27–30. [Google Scholar]
- Chavant, P.; Gaillard-Martinie, B.; Talon, R.; Hébraud, M.; Bernardi, T. A new device for rapid evaluation of biofilm formation potential by bacteria. J. Microbiol. Methods 2007, 68, 605–612. [Google Scholar]
- Ceri, H.; Olson, M.E.; Stremick, C.; Read, R.R.; Morck, D.; Buret, A. The Calgary Biofilm Device: new technology for rapid determination of antibiotic susceptibilities of bacterial biofilms. J. Clin. Microbiol. 1999, 37, 1771–1776. [Google Scholar]
- Merritt, J.H.; Kadouri, D.E.; O'Toole, G.A. Growing and analyzing static biofilms. In Current Protocols in Microbiology; John Wiley & Sons, 2005; Vol. 1B1, pp. 1–17. [Google Scholar]
- Heydorn, A.; Nielsen, A.T.; Hentzer, M.; Sternberg, C.; Givskov, M.; Ersbøll, B.K.; Molin, S. Quantification of biofilm structures by the novel computer program COMSTAT. Microbiology (Reading, Engl) 2000, 146, 2395–2407. [Google Scholar]
- Donlan, R.M.; Piede, J.A.; Heyes, C.D.; Sanii, L.; Murga, R.; Edmonds, P.; El-Sayed, I.; El-Sayed, M.A. Model system for growing and quantifying Streptococcus pneumoniae biofilms in situ and in real time. Appl. Environ. Microbiol. 2004, 70, 4980–4988. [Google Scholar]
- Ghigo, J.M. Natural conjugative plasmids induce bacterial biofilm development. Nature 2001, 412, 442–445. [Google Scholar]
- McCoy, W.F.; Bryers, J.D.; Robbins, J.; Costerton, J.W. Observations of fouling biofilm formation. Can. J. Microbiol. 1981, 27, 910–917. [Google Scholar]
- Woods, J.; Boegli, L.; Kirker, K.R.; Agostinho, A.M.; Durch, A.M.; Delancey Pulcini, E.; Stewart, P.S.; James, G.A. Development and application of a polymicrobial, In vitro, wound biofilm model. J. Appl. Microbiol. 2012, 112, 998–1006. [Google Scholar]
- Xu, K.D.; Stewart, P.S.; Xia, F.; Huang, C.T.; McFeters, G.A. Spatial physiological heterogeneity in Pseudomonas aeruginosa biofilm is determined by oxygen availability. Appl. Environ. Microbiol. 1998, 64, 4035–4039. [Google Scholar]
- Richter, L.; Stepper, C.; Mak, A.; Reinthaler, A.; Heer, R.; Kast, M.; Bruckl, H.; Ertl, P. Development of a microfluidic biochip for online monitoring of fungal biofilm dynamics. Lab. Chip 2007, 7, 1723–1731. [Google Scholar]
- Peters, A.C.; Wimpenny, J.W. A constant-depth laboratory model film fermentor. Biotechnol. Bioeng. 1988, 32, 263–270. [Google Scholar]
- Wilson, M. Use of constant depth film fermentor in studies of biofilms of oral bacteria. Methods Enzymol. 1999, 310, 264–279. [Google Scholar]
- Pitts, B.; Willse, A.; McFeters, G.A.; Hamilton, M.A.; Zelver, N.; Stewart, P.S. A repeatable laboratory method for testing the efficacy of biocides against toilet bowl biofilms. J. Appl. Microbiol. 2001, 91, 110–117. [Google Scholar]
- Benoit, M.R.; Conant, C.G.; Ionescu-Zanetti, C.; Schwartz, M.; Matin, A. New device for high-throughput viability screening of flow biofilms. Appl. Environ. Microbiol. 2010, 76, 4136–4142. [Google Scholar]
- Lawrence, J.R.; Swerhone, G.D.; Neu, T.R. A simple rotating annular reactor for replicated biofilm studies. J. Microbiol. Methods 2000, 42, 215–224. [Google Scholar]
- Hodgson, A.E.; Nelson, S.M.; Brown, M.R.; Gilbert, P. A simple In vitro model for growth control of bacterial biofilms. J. Appl. Bacteriol. 1995, 79, 87–93. [Google Scholar]
- Gilbert, P.; Allison, D.G.; Evans, D.J.; Handley, P.S.; Brown, M.R. Growth rate control of adherent bacterial populations. Appl. Environ. Microbiol. 1989, 55, 1308–1311. [Google Scholar]
- Schaller, M.; Schafer, W.; Korting, H.C.; Hube, B. Differential expression of secreted aspartyl proteinases in a model of human oral candidosis and in patient samples from the oral cavity. Mol. Microbiol. 1998, 29, 605–615. [Google Scholar]
- Guggenheim, B.; Giertsen, E.; Schüpbach, P.; Shapiro, S. Validation of an In vitro biofilm model of supragingival plaque. J. Dental Res. 2001, 80, 363–370. [Google Scholar]
- Guggenheim, M.; Thurnheer, T.; Gmur, R.; Giovanoli, P.; Guggenheim, B. Validation of the Zurich burn-biofilm model. Burns J. Int. Soc. Burn Injuries 2011, 37, 1125–1133. [Google Scholar]
- Grubb, S.E.; Murdoch, C.; Sudbery, P.E.; Saville, S.P.; Lopez-Ribot, J.L.; Thornhill, M.H. Adhesion of Candidaalbicans to endothelial cells under physiological conditions of flow. Infect. Immun. 2009, 77, 3872–3878. [Google Scholar]
- Woodworth, B.A.; Tamashiro, E.; Bhargave, G.; Cohen, N.A.; Palmer, J.N. An In vitro model of Pseudomonas aeruginosa biofilms on viable airway epithelial cell monolayers. Am. J. Rhinol. 2008, 22, 235–238. [Google Scholar]
- McBain, A.J.; Sissons, C.; Ledder, R.G.; Sreenivasan, P.K.; De Vizio, W.; Gilbert, P. Development and characterization of a simple perfused oral microcosm. J. Appl. Microbiol. 2005, 98, 624–634. [Google Scholar]
- Kim, J.; Hegde, M.; Jayaraman, A. Microfluidic co-culture of epithelial cells and bacteria for investigating soluble signal-mediated interactions. J. Vis. Exp. 2010, 38, e1749. [Google Scholar]
- Huang, T.Y.; Gulabivala, K.; Ng, Y.L. A bio-molecular film ex vivo model to evaluate the influence of canal dimensions and irrigation variables on the efficacy of irrigation. Int. Endodontic J. 2008, 41, 60–71. [Google Scholar]
- Chuang-Smith, O.N.; Wells, C.L.; Henry-Stanley, M.J.; Dunny, G.M. Acceleration of Enterococcusfaecalis biofilm formation by aggregation substance expression in an ex vivo model of cardiac valve colonization. PLoS One 2010, 5, e15798. [Google Scholar]
- Carterson, A.J.; Honer zu Bentrup, K.; Ott, C.M.; Clarke, M.S.; Pierson, D.L.; Vanderburg, C.R.; Buchanan, K.L.; Nickerson, C.A.; Schurr, M.J. A549 lung epithelial cells grown as three-dimensional aggregates: alternative tissue culture model for Pseudomonas aeruginosa pathogenesis. Infect. Immun. 2005, 73, 1129–1140. [Google Scholar] [CrossRef]
- Nickerson, C.A.; Goodwin, T.J.; Terlonge, J.; Ott, C.M.; Buchanan, K.L.; Uicker, W.C.; Emami, K.; LeBlanc, C.L.; Ramamurthy, R.; Clarke, M.S.; et al. Three-dimensional tissue assemblies: novel models for the study of Salmonella enterica serovar Typhimurium pathogenesis. Infect. Immun. 2001, 69, 7106–7120. [Google Scholar] [CrossRef]
- Smith, Y.C.; Grande, K.K.; Rasmussen, S.B.; O'Brien, A.D. Novel three-dimensional organoid model for evaluation of the interaction of uropathogenic Escherichia coli with terminally differentiated human urothelial cells. Infect. Immun. 2006, 74, 750–757. [Google Scholar]
- Benghezal, M.; Adam, E.; Lucas, A.; Burn, C.; Orchard, M.G.; Deuschel, C.; Valentino, E.; Braillard, S.; Paccaud, J.P.; Cosson, P. Inhibitors of bacterial virulence identified in a surrogate host model. Cell Microbiol. 2007, 9, 1336–1342. [Google Scholar]
- Sandstrom, G.; Saeed, A.; Abd, H. Acanthamoeba-bacteria: a model to study host interaction with human pathogens. Curr. Drug Targets 2011, 12, 936–941. [Google Scholar]
- Annesley, S.J.; Fisher, P.R. Dictyostelium discoideum--a model for many reasons. Mol. Cell. Biochem. 2009, 329, 73–91. [Google Scholar]
- Silo-Suh, L.; Suh, S.J.; Sokol, P.A.; Ohman, D.E. A simple alfalfa seedling infection model for Pseudomonas aeruginosa strains associated with cystic fibrosis shows AlgT (sigma-22) and RhlR contribute to pathogenesis. Proc. Natl. Acad. Sci. USA 2002, 99, 15699–15704. [Google Scholar]
- Schlaich, N.L. Arabidopsis thaliana- the model plant to study host-pathogen interactions. Curr. Drug Targets 2011, 12, 955–966. [Google Scholar]
- Graf, J. Symbiosis of Aeromonas veronii biovar sobria and Hirudo medicinalis, the medicinal leech: a novel model for digestive tract associations. Infect. Immun. 1999, 67, 1–7. [Google Scholar]
- Laws, T.R.; Smith, S.A.; Smith, M.P.; Harding, S.V.; Atkins, T.P.; Titball, R.W. The nematode Panagrellus redivivus is susceptible to killing by human pathogens at 37 degrees C. FEMS Microbiol. Lett. 2005, 250, 77–83. [Google Scholar] [CrossRef]
- Marsh, E.K.; May, R.C. Caenorhabditis elegans, a model organism for investigating immunity. Appl. Environ. Microbiol. 2012, 78, 2075–2081. [Google Scholar]
- Jander, G.; Rahme, L.G.; Ausubel, F.M. Positive correlation between virulence of Pseudomonas aeruginosa mutants in mice and insects. J. Bacteriol. 2000, 182, 3843–3845. [Google Scholar]
- Kounatidis, I.; Ligoxygakis, P. Drosophila as a model system to unravel the layers of innate immunity to infection. Open Biol. 2012, 2, 120075. [Google Scholar]
- Kanther, M.; Rawls, J.F. Host-microbe interactions in the developing zebrafish. Curr. Opin. Immunol. 2010, 22, 10–19. [Google Scholar]
- Yanagihara, K.; Ohnishi, Y.; Morinaga, Y.; Nakamura, S.; Kurihara, S.; Seki, M.; Izumikawa, K.; Kakeya, H.; Yamamoto, Y.; Yamada, Y.; et al. Efficacy of ME1036 against meticillin-resistant Staphylococcus aureus and vancomycin-insensitive S. aureus in a model of haematogenous pulmonary infection. Int. J. Antimicrob. Agents 2008, 32, 401–404. [Google Scholar] [CrossRef]
- Yanagihara, K.; Seki, M.; Izumikawa, K.; Higashiyama, Y.; Miyazaki, Y.; Hirakata, Y.; Tomono, K.; Mizuta, Y.; Tsukamoto, K.; Kohno, S. Potency of DX-619, a novel des-F(6)-quinolone, in haematogenous murine bronchopneumonia caused by methicillin-resistant and vancomycin-intermediate Staphylococcus aureus. Int. J. Antimicrob. Agents 2006, 28, 212–216. [Google Scholar] [CrossRef]
- Rogers, C.S.; Hao, Y.; Rokhlina, T.; Samuel, M.; Stoltz, D.A.; Li, Y.; Petroff, E.; Vermeer, D.W.; Kabel, A.C.; Yan, Z.; et al. Production of CFTR-null and CFTR-DeltaF508 heterozygous pigs by adeno-associated virus-mediated gene targeting and somatic cell nuclear transfer. J. Clin. Invest. 2008, 118, 1571–1577. [Google Scholar] [CrossRef]
- Clerc, M.; Bebear, C.; Goursolle, M.; Aparicio, M. Calculi experimentally obtained in the rat by intrarenal injection of Ureaplasma urealyticum. Ann. Biol. Clin. (Paris) 1984, 42, 277–281. [Google Scholar]
- Gurjala, A.N.; Geringer, M.R.; Seth, A.K.; Hong, S.J.; Smeltzer, M.S.; Galiano, R.D.; Leung, K.P.; Mustoe, T.A. Development of a novel, highly quantitative in vivo model for the study of biofilm-impaired cutaneous wound healing. Wound Repair. Regen 2011, 19, 400–410. [Google Scholar] [CrossRef]
- Swords, W.E.; Moore, M.L.; Godzicki, L.; Bukofzer, G.; Mitten, M.J.; VonCannon, J. Sialylation of lipooligosaccharides promotes biofilm formation by nontypeable Haemophilus influenzae. Infect. Immun. 2004, 72, 106–113. [Google Scholar] [CrossRef]
- Hasturk, H.; Kantarci, A.; Goguet-Surmenian, E.; Blackwood, A.; Andry, C.; Serhan, C.N.; Van Dyke, T.E. Resolvin E1 regulates inflammation at the cellular and tissue level and restores tissue homeostasis in vivo. J. Immunol. 2007, 179, 7021–7029. [Google Scholar]
- Pouliot, M.; Clish, C.B.; Petasis, N.A.; Van Dyke, T.E.; Serhan, C.N. Lipoxin A(4) analogues inhibit leukocyte recruitment to Porphyromonas gingivalis: a role for cyclooxygenase-2 and lipoxins in periodontal disease. Biochemistry 2000, 39, 4761–4768. [Google Scholar]
- Andes, D.; Nett, J.; Oschel, P.; Albrecht, R.; Marchillo, K.; Pitula, A. Development and characterization of an in vivo central venous catheter Candida albicans biofilm model. Infect. Immun. 2004, 72, 6023–6031. [Google Scholar] [CrossRef]
- Kurosaka, Y.; Ishida, Y.; Yamamura, E.; Takase, H.; Otani, T.; Kumon, H. A non-surgical rat model of foreign body-associated urinary tract infection with Pseudomonas aeruginosa. Microbiol. Immunol. 2001, 45, 9–15. [Google Scholar]
- Mayberry-Carson, K.J.; Tober-Meyer, B.; Lambe, D.W., Jr.; Costerton, J.W. An electron microscopic study of the effect of clindamycin therapy on bacterial adherence and glycocalyx formation in experimental Staphylococcus aureus osteomyelitis. Microbios 1986, 48, 189–206. [Google Scholar]
- Eerenberg, J.P.; Patka, P.; Haarman, H.J.; Dwars, B.J. A new model for posttraumatic osteomyelitis in rabbits. J. Invest. Surg. 1994, 7, 453–465. [Google Scholar] [CrossRef]
- Del Pozo, J.L.; Rouse, M.S.; Euba, G.; Kang, C.I.; Mandrekar, J.N.; Steckelberg, J.M.; Patel, R. The electricidal effect is active in an experimental model of Staphylococcus epidermidis chronic foreign body osteomyelitis. Antimicrob. Agents Chemother. 2009, 53, 4064–4068. [Google Scholar] [CrossRef]
- Poelstra, K.A.; Barekzi, N.A.; Grainger, D.W.; Gristina, A.G.; Schuler, T.C. A novel spinal implant infection model in rabbits. Spine (Phila Pa 1976) 2000, 25, 406–410. [Google Scholar] [CrossRef]
- Li, D.; Gromov, K.; Soballe, K.; Puzas, J.E.; O'Keefe, R.J.; Awad, H.; Drissi, H.; Schwarz, E.M. Quantitative mouse model of implant-associated osteomyelitis and the kinetics of microbial growth, osteolysis, and humoral immunity. J. Orthop. Res. 2008, 26, 96–105. [Google Scholar] [CrossRef]
- Philipov, J.P.; Pascalev, M.D.; Aminkov, B.Y.; Grosev, C.D. Changes in serum carboxyterminal telopeptide of type I collagen in an experimental model of canine osteomyelitis. Calcif Tissue Int. 1995, 57, 152–154. [Google Scholar]
- Williams, D.L.; Haymond, B.S.; Woodbury, K.L.; Beck, J.P.; Moore, D.E.; Epperson, R.T.; Bloebaum, R.D. Experimental model of biofilm implant-related osteomyelitis to test combination biomaterials using biofilms as initial inocula. J. Biomed. Mater. Res. A 2012, 100, 1888–1900. [Google Scholar]
- Southwood, R.T.; Rice, J.L.; McDonald, P.J.; Hakendorf, P.H.; Rozenbilds, M.A. Infection in experimental hip arthroplasties. J. Bone Joint Surg. Br. 1985, 67, 229–231. [Google Scholar]
- Bergamini, T.M.; Bandyk, D.F.; Govostis, D.; Kaebnick, H.W.; Towne, J.B. Infection of vascular prostheses caused by bacterial biofilms. J. Vasc. Surg. 1988, 7, 21–30. [Google Scholar]
- Farooq, M.; Freischlag, J.; Kelly, H.; Seabrook, G.; Cambria, R.; Towne, J. Gelatin-sealed polyester resists Staphylococcus epidermidis biofilm infection. J. Surg. Res. 1999, 87, 57–61. [Google Scholar]
- Arad, E.; Navon-Venezia, S.; Gur, E.; Kuzmenko, B.; Glick, R.; Frenkiel-Krispin, D.; Kramer, E.; Carmeli, Y.; Barnea, Y. Novel Rat Model of Methicillin-Resistant Staphyloccocus aureus Infected Silicone Breast-Implants: A Study of Biofilm Pathogenesis. Plast Reconstr. Surg. 2013, 131, 205–214. [Google Scholar]
- Chilukuri, D.M.; Shah, J.C. Local delivery of vancomycin for the prophylaxis of prosthetic device-related infections. Pharm Res. 2005, 22, 563–572. [Google Scholar]
- Hessburg, P.C.; Truant, J.P.; Penn, W.P. Treatment of Pseudomonas keratitis in rabbits. Am. J. Ophthalmol. 1966, 61, 49–54. [Google Scholar]
- Fulcher, T.P.; Dart, J.K.; McLaughlin-Borlace, L.; Howes, R.; Matheson, M.; Cree, I. Demonstration of biofilm in infectious crystalline keratopathy using ruthenium red and electron microscopy. Ophthalmology 2001, 108, 1088–1092. [Google Scholar]
- Engelbert, M.; Gilmore, M.S. Fas ligand but not complement is critical for control of experimental Staphylococcus aureus Endophthalmitis. Invest. Ophthalmol. Vis. Sci. 2005, 46, 2479–2486. [Google Scholar]
- Elder, M.J.; Stapleton, F.; Evans, E.; Dart, J.K. Biofilm-related infections in ophthalmology. Eye (Lond) 1995, 9, 102–109. [Google Scholar] [CrossRef]
- Shea, P.R.; Virtaneva, K.; Kupko, J.J., 3rd; Porcella, S.F.; Barry, W.T.; Wright, F.A.; Kobayashi, S.D.; Carmody, A.; Ireland, R.M.; Sturdevant, D.E.; et al. Interactome analysis of longitudinal pharyngeal infection of cynomolgus macaques by group A Streptococcus. Proc. Natl. Acad. Sci. USA 2010, 107, 4693–4698. [Google Scholar] [CrossRef]
- Chole, R.A.; Faddis, B.T. Anatomical evidence of microbial biofilms in tonsillar tissues: a possible mechanism to explain chronicity. Arch. Otolaryngol. Head Neck Surg. 2003, 129, 634–636. [Google Scholar]
- Post, J.C.; Hiller, N.L.; Nistico, L.; Stoodley, P.; Ehrlich, G.D. The role of biofilms in otolaryngologic infections: update 2007. Curr. Opin. Otolaryngol. Head Neck Surg. 2007, 15, 347–351. [Google Scholar]
- McDuffie, R.S., Jr.; Kunze, M.; Barr, J.; Wolf, D.; Sze, C.I.; Shikes, R.; Sherman, M.; Gibbs, R.S. Chronic intrauterine and fetal infection with Gardnerella vaginalis. Am. J. Obstet Gynecol. 2002, 187, 1263–1266. [Google Scholar]
- Verstraelen, H.; Swidsinski, A. The biofilm in bacterial vaginosis: implications for epidemiology, diagnosis and treatment. Curr. Opin. Infect. Dis. 2013, 26, 86–89. [Google Scholar]
- Klein, M.; Obermaier, B.; Angele, B.; Pfister, H.W.; Wagner, H.; Koedel, U.; Kirschning, C.J. Innate immunity to pneumococcal infection of the central nervous system depends on toll-like receptor (TLR) 2 and TLR4. J. Infect. Dis. 2008, 198, 1028–1036. [Google Scholar]
- Neil, R.B.; Apicella, M.A. Clinical and laboratory evidence for Neisseria meningitidis biofilms. Future Microbiol. 2009, 4, 555–563. [Google Scholar]
- Ruellan, K.; Frijns, J.H.; Bloemberg, G.V.; Hautefort, C.; Van den Abbeele, T.; Lamers, G.E.; Herman, P.; Huy, P.T.; Kania, R.E. Detection of bacterial biofilm on cochlear implants removed because of device failure, without evidence of infection. Otol. Neurotol. 2010, 31, 1320–1324. [Google Scholar]
- Everaert, E.P.; van de Belt-Gritter, B.; van der Mei, H.C.; Busscher, H.J.; Verkerke, G.J.; Dijk, F.; Mahieu, H.F.; Reitsma, A. In vitro and in vivo microbial adhesion and growth on argon plasma-treated silicone rubber voice prostheses. J. Mater Sci. Mater Med. 1998, 9, 147–157. [Google Scholar] [CrossRef]
- Braxton, E.E., Jr.; Ehrlich, G.D.; Hall-Stoodley, L.; Stoodley, P.; Veeh, R.; Fux, C.; Hu, F.Z.; Quigley, M.; Post, J.C. Role of biofilms in neurosurgical device-related infections. Neurosurg. Rev. 2005, 28, 249–255. [Google Scholar]
- Wilson, S.K.; Costerton, J.W. Biofilm and penile prosthesis infections in the era of coated implants: a review. J. Sex. Med. 2012, 9, 44–53. [Google Scholar]
- Ginsberg, G.; Cope, C.; Shah, J.; Martin, T.; Carty, A.; Habecker, P.; Kaufmann, C.; Clerc, C.; Nuutinen, J.P.; Tormala, P. In vivo evaluation of a new bioabsorbable self-expanding biliary stent. Gastrointest Endosc. 2003, 58, 777–784. [Google Scholar]
- Guaglianone, E.; Cardines, R.; Vuotto, C.; Di Rosa, R.; Babini, V.; Mastrantonio, P.; Donelli, G. Microbial biofilms associated with biliary stent clogging. FEMS Immunol. Med. Microbiol. 2010, 59, 410–420. [Google Scholar]
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