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REVIEW article

Front. Physiol., 07 February 2023
Sec. Respiratory Physiology and Pathophysiology

To bead or not to bead: A review of Pseudomonas aeruginosa lung infection models for cystic fibrosis

  • 1Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
  • 2Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
  • 3Respiratory and Sleep Medicine, Women’s and Children’s Hospital, North Adelaide, SA, Australia

Cystic fibrosis (CF) lung disease is characterised by recurring bacterial infections resulting in inflammation, lung damage and ultimately respiratory failure. Pseudomonas aeruginosa is considered one of the most important lung pathogens in those with cystic fibrosis. While multiple cystic fibrosis animal models have been developed, many fail to mirror the cystic fibrosis lung disease of humans, including the colonisation by opportunistic environmental pathogens. Delivering bacteria to the lungs of animals in different forms is a way to model cystic fibrosis bacterial lung infections and disease. This review presents an overview of previous models, and factors to consider when generating a new P. aeruginosa lung infection model. The future development and application of lung infection models that more accurately reflect human cystic fibrosis lung disease has the potential to assist in understanding the pathophysiology of cystic fibrosis lung disease and for developing treatments.

Cystic fibrosis lung disease

Cystic fibrosis (CF) is a genetic disorder that arises due to mutations in the CF transmembrane conductance regulator (CFTR) gene, a chloride and bicarbonate ion transport channel that contributes to the absorption and secretion of ions across epithelial surfaces in the body (Malhotra et al., 2019). CF affects multiple organs including the pancreas, digestive system, reproductive system and sweat glands, however it is often the respiratory system that displays the most severe pathological consequences. CFTR mutations results in an absence of chloride transport and hyperabsorption of sodium ions. This ion imbalance leads to water absorption into the tissue, dehydration of the airway surface liquid (ASL), accumulation of abnormal sticky mucus, and subsequent impairment of the mucociliary clearance (Sousa and Pereira, 2014). Opportunistic inhaled bacteria adhere to the mucus and are unable to be cleared, resulting in inflammation and a predisposition to acute and ultimately chronic lung infections (Malhotra et al., 2019). In people with CF these infections result in progressive lung damage throughout the lifetime, which eventually causes respiratory failure.

Pseudomonas aeruginosa adaptation to cystic fibrosis lung environment

Initial lung infections with common CF pathogens primarily arises from environmental inhalation (Ramsay et al., 2016). CF lungs are typically infected with multiple bacterial species that change in prevalence with age. Shortly after birth initial airway infections are most frequently caused by Staphylococcus aureus and Haemophilus influenzae. In contrast P. aeruginosa is the dominant bacteria in older children and adults, with 80% of people with CF succumbing to respiratory failure brought on by infection with this bacterial species (Bhagirath et al., 2016). Other notable organisms involved in CF lung infections include Burkholderia cepacia, Stenotrophomonas maltophilia and Achromobacter xylosoxidans (Folkesson et al., 2012).

Pseudomonas aeruginosa is an aerobic Gram-negative rod-shaped bacterium with a widespread presence in the environment. While it may be occasionally transmitted to humans without CF as an opportunistic infection, resulting in pneumonia, wound infections and/or urinary tract infections, it rarely infects healthy lungs (Hogardt and Heesemann, 2010). As people with CF have poor lung defence mechanisms, they are highly susceptible to infections by P. aeruginosa. Initial infections may be combated with aggressive antibiotic therapy, delaying the establishment of P. aeruginosa until adulthood (Döring et al., 2012). However, once P. aeruginosa colonises the CF airways it is very challenging to eradicate, with 60%–80% of CF adults showing chronic infection by this pathogen (Parkins et al., 2018). CF children that are colonised with P. aeruginosa infection early in childhood have a poorer prognosis and life expectancy, compared to those that become infected later in life (Stuart et al., 2010).

Pseudomonas aeruginosa has a large genome of around 6,000 genes, some of which are associated with metabolic pathways, virulence, and transport (Sousa and Pereira, 2014). The majority of childhood infections occur with unique, non-clonal strains that are obtained from the local environment (Parkins et al., 2018). Older people with CF tend to share strains that have different genetic and phenotypic properties from the environmental P. aeruginosa strains. For P. aeruginosa to survive and dominate in the CF lung environment it must adapt to stressful conditions arising from bacterial competition, host defense mechanisms, and antibiotic treatment (Bhagirath et al., 2016). Over time selective pressure causes a fundamental transition in the gene expression profile and an adaptation process that is accelerated by mutator phenotypes (Sousa and Pereira, 2014). These changes in gene expression can impart altered characteristics including increased resistance to antibiotics, decreased metabolism, slower growth rate, lack of motility due to loss of flagella and overproduction of alginate (Bhagirath et al., 2016).

The overproduction of alginate results in formation of thick biofilms and characterises the conversion of non-mucoid P. aeruginosa to a mucoid state (Folkesson et al., 2012). These biofilms are made up of micro-colonies of bacteria encased in a polysaccharide matrix, predominantly alginate, creating a physical barrier that protects the bacteria from phagocytosis and antibiotic therapy (Jensen et al., 2007) (Figure 1). The onset of mucoid P. aeruginosa is associated with poor prognosis, deterioration of lung function, and increased tissue damage (Hogardt and Heesemann, 2010). Mucoid variants of P. aeruginosa are rarely isolated from non-CF environments, thus being unique to CF (Jelsbak et al., 2007; Damkiær et al., 2013).

FIGURE 1
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FIGURE 1. Schematic illustrating Pseudomonas aeruginosa infection and adaptation to cystic fibrosis (CF) lungs. CFTR mutations reduce chloride transport in the airways causing hyperabsorption of sodium, and water to be absorbed into the tissue. In turn, the ASL becomes dehydrated, thickened sticky mucus accumulates and mucocillary clearance is impaired. Environmentally acquired P. aeruginosa adhere to the mucus and cannot be cleared. During early infection stages P. aeruginosa have flagella and pili present for motility. The stressful conditions of the CF lung creates selective pressures that cause P. aeruginosa to accumulate gene mutations enabling it to adapt to the lung environment. In the chronic infection stage, P. aeruginosa develops characteristics including loss of the flagella and pili, overproduction of alginate biofilm, and resistance to antibiotics. Chronic lung infections result in airway inflammation, lung tissue damage and eventually respiratory failure. CFTR; cystic fibrosis transmembrane conductance regulator, ENaC; epithelial sodium channel, ASL; airway surface liquid. Created with BioRender.

Animal models of cystic fibrosis

The importance of CF animal models for understanding disease pathophysiology and for the development of new therapies is well recognised, and these models have previously been reviewed in McCarron et al., 2021 (McCarron et al., 2021). While CF animal models recapitulate varying degrees of CF pathophysiology that include gut obstructions, reproductive defects and nasal bioelectrical defects, many do not exhibit lung disease. Although the CF pig (Stoltz et al., 2010) and ferret (Sun et al., 2014) develop some features of CF lung disease, including infections, access to these models is limited. Specifically, for Australian researchers, import and biosecurity issues prevent their use, whereas financial implications and additional husbandry requirements are a major limiting factor across CF research. Smaller CF animal models, notably mice and rats, do not replicate the spontaneous colonisation with pathogens like P. aeruginosa, and that may be in part due to the housing of rodents in specific pathogen free facilities, among other factors (McCarron et al., 2018). Consequently, the lack of access to an animal model with CF-like lung disease limits our further understanding in pathophysiology and treatment studies.

Animal models of Pseudomonas aeruginosa lung infection

Administering bacteria directly into the lungs is a method commonly used to mimic a range of lung infections for CF and other diseases (Evans et al., 2010; McConnell et al., 2010; Bonfield et al., 2021). Various animal species/strains have been used to generate P. aeruginosa infection models, including genetically modified species that have CFTR mutations. Accordingly, this review is intended to provide an overview of P. aeruginosa lung infection models that have been developed to resemble CF lung disease. In particular, the factors that should be considered for establishing these models will be discussed.

Choice of Pseudomonas aeruginosa strain

Multiple strains of P. aeruginosa have been used to develop CF-like lung infections, with laboratory strains and clinical isolates of P. aeruginosa having been tested (Table 1). PAO1 is the most common laboratory strain, first isolated from a wound infection in 1954, and has since had its entire genome sequenced (Klockgether et al., 2010). PAO1 is a non-mucoid, motile P. aeruginosa strain and is considered more virulent and faster replicating than clinical isolates collected from the lungs of people with CF. While the core genome is conserved across all P. aeruginosa strains, clinical isolates demonstrate modifications to the genes responsible for virulence phenotype, mucoidity, mobility, and replication (Finnan et al., 2004; Hoffmann et al., 2005).

TABLE 1
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TABLE 1. Overview of Pseudomonas aeruginosa lung infection models. Note that a more comprehensive electronic filterable spreadsheet version is included as supplementary material.

Several studies have investigated and compared the effect of strain on lung infection. Kukavica-Ibrugi et al. (2008) compared three strains of P. aeruginosa; two lab strains (PAO1, PA14) and a clinical isolate (LESB58) in a bead model of infection (discussed in detail below) in rats (Kukavica-Ibrulj et al., 2008). Differences were found in the in vivo motility and the in vitro biofilm formation between the three strains. The two lab strains displayed greater motility, being found inside and outside the beads, and exhibited reduced biofilm formation compared to the clinical isolate, 14 days post infection in the rat lungs. This study highlighted that all three strains were able to initiate and maintain infection in the rat lung for at least 14 days; however, the use of lab strains may not be representative of CF chronic infection.

In another study, PA14 was shown to be more virulent than the clinical isolates investigated, causing higher mortality rates in mice (Bragonzi et al., 2009). Additionally, this study compared strains isolated from CF patients with early, intermediate, and late stage lung disease, based on the number of years post P. aeruginosa colonisation. A higher mortality was observed in the early and intermediate isolates, suggesting there was a loss of virulence factors in late stage isolates. In a similar study, mice inoculated with early-derived P. aeruginosa also demonstrated higher mortality when compared to mice infected with a late-derived isolate from the same patient (Lorè et al., 2012). These studies highlight that P. aeruginosa clinical isolates collected from different time points post-colonisation can impact the severity of the model, and therefore is an important consideration in project planning.

To monitor the in vivo progression of infections typically associated with skin wound models, bioluminescent strains of P. aeruginosa have been developed (Thorn et al., 2007). The integration of the luxCDABE luciferase reporter gene operon into the bacteria enables luminescence detection without the addition of an exogenous substrate, allowing for real-time non-invasive quantification in skin wound models (Andreu et al., 2011). Bioluminescent P. aeruginosa strains have also been employed in the lungs. One study compared two strains, TBCF10839 and its isogenic less virulent mutant D8A6 (Munder et al., 2014). Mice were infected with 2 × 106 and 2 × 108 colony forming units (CFU) of TBCF10839lux or D8A6lux and imaged at 0, 6, and 24 h after instillation. D8A6lux given at the higher dose was detectable for the observation period of 24 h, whereas the more virulent P. aeruginosa strain TBCF10839lux given at higher dose resulted in early high mortality, meaning bioluminescence data could not be acquired. Bioluminescence produced by low doses of bacteria was below the limit of detection, suggesting that the option of using bioluminescent P. aeruginosa strains for monitoring infection progression of low-level chronic infection in the lung may be limited.

Given that there are many strains and isolates of P. aeruginosa that can be used in lung infection model development, researchers should determine the type of model required, then use the most suitable P. aeruginosa strain for their experiment. It can be argued that using a laboratory strain of P. aeruginosa with characteristics of being non-mucoid and highly virulent is not clinically appropriate to use as a model of the infection that persists for years in the lungs of people with CF (Hoffmann, 2007). In contrast, P. aeruginosa isolates that are known to be mucoid clonal strains, i.e. have a high prevalence among CF population, may produce an infection model that is more clinically relevant, and thus more useful for drug/treatment studies. It is also challenging to make direct comparisons between the characteristics of the lung infections generated by different researchers when different strains of P. aeruginosa are employed (as shown in Table 1). For example, those studies trialing antibiotic therapies using one strain may not translate well to different strains of P. aeruginosa, particularly those tested/developed using PAO1. Overall, the strain of P. aeruginosa used in the model can have a great impact on the outcome of the infection created, and should be chosen carefully.

Lung delivery methods

Multiple delivery methods exist for administering P. aeruginosa into the lungs of animals, and the chosen delivery technique is important as it determines the accuracy and precision of dosing, progression of infection, and has impacts on the animal’s health and welfare. Inoculation techniques include adding bacteria to the drinking water (Coleman et al., 2003), intranasal application (Schroeder et al., 2001; van Heeckeren et al., 2006; Brao et al., 2020), tracheostomy (van Heeckeren et al., 2000; Hoffmann et al., 2005; Bayes et al., 2016) and non-surgical intratracheal delivery (Schroeder et al., 2001; Munder et al., 2011) (Table 1). Some factors that should be considered when deciding on which technique to use to deliver P. aeruginosa to the lungs include the target location and the number of bacteria to be delivered to that location, minimising contamination of non-target tissue, the reproducibility of the technique, and the physiological impact on the animal (e.g. choice of anaesthetic and invasiveness of the delivery procedure) (Munder et al., 2002).

In efforts to replicate environmental low-level transmission of P. aeruginosa to the lung, one study showed that long term colonisation after exposure to P. aeruginosa in drinking water in wildtype (WT) and CF mice mimics early CF lung disease (Coleman et al., 2003). P. aeruginosa colonised the oropharyngeal cavity with natural progression to the lower airways after long term colonisation. Further, this study reported that WT mice were able to clear the infection once the P. aeruginosa water source was removed, whereas CF mice did not, indicating differences between the WT and CF mice susceptibility to P. aeruginosa infection (Coleman et al., 2003).

As sinuses can be a source of lung infection (Chaaban et al., 2013), another method that may mimic a natural acquisition of bacteria to the lungs is intranasal delivery to simultaneously target both upper and lower airways. This involves the mouse being held in a vertical position or laying on its side to deliver small volumes of the P. aeruginosa solution to the tip of the nose, allowing the animal to passively inhale the bacteria. Further, the use of light anaesthesia minimises the amount of bacteria that might otherwise get swallowed if the animal was awake (Bakker-Woudenberg, 2003). To be able to develop a chronic and established infection with this method, multiple inoculations would be required, as only small numbers of bacteria reach the lung.

The most widely used method of delivering P. aeruginosa to the lungs is tracheostomy, especially in mice. This approach is typically chosen due to the accuracy of delivery as the bacteria are directly inoculated to the lung. However, this method is complex, invasive and requires a high skill level to surgically expose the trachea and close the wound postoperatively. Further, it brings with it the potentially confounding effect of delayed recovery as a result of the surgery as well as increased procedure-associated mortality. Delivery factors that may contribute to this associated mortality include airway obstruction due to the use of a large gauge blunt (28% increase in mortality) and inappropriate placement of the angiocatheter (60% increase in mortality) (van Heeckeren and Schluchter, 2002). A separate study reported that from 96 mice undergoing infection via tracheostomy, six died due to postoperative complications and seven were improperly infected (Van Heeckeren et al., 2000). Consequently, the limitations of delivery by tracheostomy likely outweigh the benefits, particularly when other more accurate and lower-impact delivery methods exist. Additionally, some animal ethics committees may be reluctant to approve this method of delivery.

To avoid the need for tracheostomy, P. aeruginosa can instead be delivered to the lungs through an endotracheal (ET) tube or cannula that is inserted into the trachea via the mouth (MacDonald et al., 2009). Although minimally-invasive, a high skill level is required for this method. The ET tube is easily inserted into the oesophagus, resulting in erroneous delivery to the stomach. Confirmation of ET placement can be achieved by using a puff of air to inflate the lungs and cause the chest movement. Whole lung delivery is achieved if the ET tube is inserted correctly into the trachea, whereas some studies report that it is possible to achieve half lung delivery by angling the ET tube to one side, (e.g. right main bronchus) (Saadane et al., 2006).

Munder et al. (2011) uses a method called “view controlled intratracheal infection” (orotracheal), which consists of anaesthetising the mice, stretching the tongue out and visualising the instillation of bacteria directly into trachea using a magnifying glass or a small animal laryngoscope (Munder et al., 2011). This method differs from above as no ET tube is inserted, and the inocula is instead delivered straight to the top of the trachea. In another study, the same group compared several methods of delivery, concluding that this method was the preferred approach due to accuracy of dosing and recovery of mice (Munder et al., 2002). In their study, tracheostomy resulted in the highest numbers of bacteria in the lung, but was the only method in which the delivery procedure was associated with mortality. The least invasive methods, which might be suitable for simulating environmental exposure to P. aeruginosa - intranasal and aerosol delivery - resulted in low level bacterial colonisation in the lung, poor reproducibility, and contamination of other tissues.

Each delivery method has advantages and disadvantages that must be taken into consideration. Ideally, a lung infection model should simulate the human route of infection as closely as possible. Some of these methods (i.e. intranasal) may be less reproducible between experiments, however those methods able to deliver the same amount of bacteria each time to the lung creates a model that has lower variation between the groups of animals. Therefore, having a delivery method that limits dosing to a specific region, is reproducible and minimally invasive would be advantageous. A newly established method that employs miniature bronchoscope fits this need, and can enable a more accurate and precise method for localised fluid delivery to the lungs, particularly in large lab animals such as rats (McIntyre et al., 2018). As this procedure can be performed rapidly (∼1 min), it is achievable, using inhaled anaesthesia, and therefore has the added benefit of reducing complications associated with surgical methods and injectable anaesthetics.

Duration of infection

In humans with CF, P. aeruginosa infection begins with recurrent acute colonisation of the airways, before developing into a long-lasting chronic infection, typically after or in parallel with infection with other pathogens. Approaches to inducing appropriate lung infections have typically been designed to produce either short-term (acute) or persistent long-term (chronic) infections in animal models (Table 1).

Short-term (acute) infection

The administration of planktonic (free-living) P. aeruginosa is a method used to create a short-term model of lung infection. However, depending on the number of CFU used this approach can result in the two extremes of rapid clearance without inducing infection, or acute sepsis and death. For example, mice (CF—FABPCFTR and WT) that were intranasally inoculated with a high number of bacterial CFU (109) died within 2 days, whereas those with a lower CFU (105) cleared the infection rapidly (van Heeckeren et al., 2006). The authors concluded that an intermediate dose of 107 CFU, was associated with weight loss but no mortality and thus used this dose in subsequent experiments. Similarly, Saadane et al. (2006) also concluded that administration of 3–4 x 106 CFU resulted in improved survival when compared to using a higher dose of bacteria in CF knockout (KO) and WT mice (Saadane et al., 2006).

The single dose planktonic delivery approach in rodents does not and cannot reflect the chronic lung infection that persists in people with CF. However, this delivery approach can be appropriate for investigating some aspects of lung infection, such as the acute initial inflammatory response following lung infection (Cigana et al., 2020), comparing lab strains to isolates of P. aeruginosa, assessing the response of infection in different strains of rodents, and evaluating treatments that could modify the course of early infection (e.g. antibiotics).

Long-term (chronic) infection

The definition of a chronic lung infection in humans with CF is varied, but two common definitions are well accepted: 1) The ‘Leeds criteria’, which refers to the isolation of P. aeruginosa in >50% of sputum cultures over a 12-month period, and, 2) at least three positive cultures for >6 months, with a minimum 1-month interval between samples (Lee et al., 2003; Proesmans et al., 2006). However, these durations represent a much greater proportion of an animal’s lifespan, and equivalent definitions are therefore required for application to animal models.

Cigana et al. (2016) suggested recovery of more than 104 CFU of bacteria in the bronchoalveolar lavage fluid (BALF) of mice 3 months after inoculation to be indicative of a chronic infection (Cigana et al., 2016). In that study, hallmarks of chronic lung pathology were displayed 1-month post-infection, including intraluminal and peribronchial inflammation, epithelial hyperplasia and structural degeneration. This study was the first to develop long-term chronic infection with stable bacteria numbers persisting for up to 3 months. Bayes et al. (2016) developed a chronic infection in mice that demonstrated key features of CF human lung disease, with a low level of morbidity, neutrophilic inflammation and weight loss related to infection (Bayes et al., 2016). Chronic infection in this study was defined as the recovery of P. aeruginosa from BALF and homogenised lung cultures 2 weeks post inoculation with a median count of 1.4 × 103 CFU/lung. Similar, Bragonzi et al. (2009) and Lore et al. (2016) used the recovery of more than 103 CFU in whole lung cultures as an indication of chronic lung disease (Bragonzi et al., 2009; Lorè et al., 2016). Ultimately, it is important to select a bacterial load that maintains a stable infection without significantly compromising the health of the animal.

Creating a chronic infection model

In humans with CF, a chronic P. aureuginosa lung infection is maintained at a low level with the aid of a polysaccharide matrix generated by the bacteria, which retains the bacteria in the lung. To attempt to replicate the chronic infection in animal models, P. aeruginosa is often embedded into agar or alginate beads, which helps to physically retain the bacteria in the airways and delay the clearance of infection. These agents also prevent neutrophils accessing the bacteria, thus neutrophils remain in the airways as is seen in CF (Chmiel et al., 2002). This technique is designed to generate persistent presence of bacteria in the lungs, where it would cause continuous stimulation of host defences and inflammation (Growcott et al., 2011; Facchini et al., 2014).

Cash et al. (1979) first devised the P. aeruginosa agar embedded bead model of chronic infection in rats (Cash et al., 1979), and it has since been modified for other species (Thomassen et al., 1984; Cheung et al., 1993; Collie et al., 2013), such as mice (Starke et al., 1987). Agar beads are commonly made by adding P. aeruginosa culture into warmed agarose and then mixing it into warmed mineral oil to form beads. An alternative bead model using alginate was developed by Pedersen et al. (1990), as the P. aeruginosa biofilms in humans with CF consist of an alginate matrix containing the bacteria (Pedersen et al., 1990). Alginate beads are generally made by forcing a bacteria laden alginate mixture through a needle into a stirred calcium chloride solution (Delbari et al., 2014).

Agar and alginate are both polymers derived from seaweeds, but they have different chemical properties (Torres et al., 2019). Agar is a neutrally-charged polysaccharide while alginate is anionic, which means they interact with antibiotics differently. The choice of which substance to use for bead production will therefore depend on the nature of the study. Calcium-alginate and agar beads have been compared in an in vitro study testing antibiotic therapies against P. aeruginosa (Torres et al., 2019). This study concluded that these two substances are interchangeable if evaluating antibiotic therapy with uncharged antibiotics. However, testing the efficacy of positively charged antibiotics requires the use of calcium-alginate beads to enable the antibiotic to reach the bacteria.

Bead size is variable depending on the method, equipment, and the operator. Importantly, beads must not be so large that they cause obstruction in large conducting airways. One study used different sizes of alginate beads to investigate the localisation of infection in mice: smaller beads were between 15 and 85 μm and large beads 74–205 μm (Christophersen et al., 2012). Distinct inflammatory responses within differing pulmonary zones were observed in mice that received the smaller beads compared to those that received the larger beads. Importantly, studies have shown that although sterile beads create an inflammatory response when delivered to the lungs, a greater inflammatory response and histological changes occur in those that receive the bacterial laden beads (Bayes et al., 2016).

Producing beads of similar distribution and size within and between batches can be technically demanding. One study found that using non-ionic surfactant SPAN 80 in the agar bead production method ensured reproducible production of homogeneous bead preparations (Growcott et al., 2011). Other factors that affect the agar bead size include the rate of stirring and cooling of the mineral oil, with higher speeds decreasing the size of beads and slower speeds producing larger beads, and the different operators who are making the agar beads (van Heeckeren and Schluchter, 2002; Facchini et al., 2014). Alginate bead size can be altered somewhat by changing the gauge of the needle the alginate mixture is passed through, and by varying the pressure/flow rate used.

Despite using standardised production methods, the properties of each bead batch are typically highly variable, resulting in different size distributions, total numbers of beads, and numbers of bacteria in each bead. With each inoculate of P. aeruginosa beads delivered to the animal, how does the researcher know how many beads are being delivered? Each batch must be validated with CFU counts and appropriate numbers of animals used to overcome the production variability. Studies also tend to report how many bead batches were used in animal experiments to account for potential discrepancies arising from bead lot, but interestingly researchers rarely report the number of beads delivered even though this is likely to have a major impact on the level of infection. Despite the difficulties in making and using beads, these models remain widely used because they can successfully establish a chronic infection.

These chronic bead models are typically more relevant for investigating CF lung disease. The benefits of embedding P. aeruginosa into beads include preventing bacterial clearance, slowing the growth of the bacteria, and avoiding the acute sepsis that is a risk of the planktonic model. The persistence of the P. aeruginosa infection in the lungs of these animal models reproduces much of the reported CF lung pathology including lung histopathology, increased inflammatory and cytokines responses. These models have been used in studies of CF lung disease and bacterial pathogenesis (Dagenais et al., 2005; Kukavica-Ibrulj et al., 2008; Bruscia et al., 2016) and in treatment studies, such as those using antibiotics or gene therapy (Rejman et al., 2010; Growcott et al., 2011; Lorè et al., 2018; Cigana et al., 2021).

Selection of rodent strain

Several studies have compared CF and WT animal responses to P. aeruginosa infection. Van Heekeren et al. (2006) reported that CF KO mice have higher mortality than WT mice at high doses of P. aeruginosa, whereas at lower doses CF mice survive but with a greater weight loss than WT mice (van Heeckeren et al., 2006). In lower dose studies the CF mice are able to clear the bacteria just as quickly as WT mice, suggesting that the increased weight loss is due to the exaggerated inflammatory response induced by the infection. In another study, an elevated inflammatory response was observed in CF mice during the early time points compared to the WT mice (Cigana et al., 2016). Chronic infection differed histologically between the CF and WT mice, with a higher number of goblet cells, collagen deposition, and elastin degradation observed in the CF lungs. Their findings suggest that the inflammatory response and tissue damage created during P. aeruginosa infection is dependent on the presence of functional CFTR in mouse models, similar to the situation in people with CF (Cigana et al., 2016).

Recently, Henderson et al. (2022) compared the development of a chronic P. aeruginosa infection in younger (2-month-old) and older (6-month-old) CFTR KO rats using an agar bead method (Henderson et al., 2022). Age matched WT rats were also included in the study. The authors found that the 2-month-old KO rats demonstrated a similar course of infection to their age-matched WT rats, where the bacteria was cleared within 7 days of infection and all other indications of infection had returned to baseline. The 6-month-old KO rats on the other hand, indicated an inability to clear the infection, and showed increased inflammation and mucus accumulation when compared to the WT rats of the same age. The authors concluded that the older KO rats likely developed chronic infection due to the presence of hyperviscous and static airway mucus presence, which was not present in the younger KO or older WT rats (Henderson et al., 2022).

Scnn1b-transgenic mice, a model of CF-like lung disease mice, have been used in bacterial studies. These mice overexpress the β subunit of the epithelial sodium channel (β-ENaC) in the airway epithelium, resulting in increased sodium absorption similar to CF. In both studies these β-ENaC mice cleared the infections more slowly than the WT mice, indicating impaired clearance (Mall et al., 2004; Brao et al., 2020). One of the studies further investigated the effect of PAO1 and non-mucoid or mucoid CF clinical isolates in cytokine responses and histological features (Brao et al., 2020). It was concluded that this mouse strain modeled early P. aeruginosa colonisation when a muciod strain was delivered modelled early P. aeruginosa colonisation. A limitation here was that most of the β-ENac mice cleared the bacteria by day 12, perhaps due to the planktonic intranasal method used.

Immunocompromised mice (genetic mouse strains or induced via immunosuppressants) have also been employed for modelling lung infections. One study found that mice who were made immunocompromised by treatment with cyclophosphamide or neutrophil-depleting RB6-8C5 monoclonal antibody were hypersusceptible to P. aeruginosa infection, compared to immunocompetent/healthy animals (Scarff and Goldberg, 2008). Lawrenz et al. (2015) demonstrated that immunocompromised animals may be useful as they are much more susceptible to infection, but the risk of morbidity and mortality is greater in these models (Lawrenz et al., 2015). While these models may have utility for particular research applications (e.g. (Chang et al., 2022)), the absence of a functional immune system may limit the translation of study findings to humans.

There are a range of rodent strains that have been used for P. aeruginosa lung infection models, and each has factors to consider when selecting the appropriate strain (Table 1). CF rodents and β-ENaC mice showed differences in their response to the infection, when compared to WT counterparts, and are valuable in the understanding of CF pathogenesis in response to infection. However, CF strains may not be essential in the initial steps of treatment-development studies targeting the bacteria. Other considerations when deciding to use non-CF or CF animals are the availability, cost, husbandry, and production levels that are an inherent part of CF breeding.

Ultimately, there are advantages and disadvantages to the different experimental designs described for generating a P. aeruginosa lung infection model. Table 2 summaries the pros and cons of these strategies to aid researchers in selecting the most appropriate approach for their investigation.

TABLE 2
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TABLE 2. Summary of experimental design pros and cons for developing a Pseudomonas aeruginosa infection model.

Limitations of induced lung infection models

Although P. aeruginosa lung infections in animal models are useful for the study of CF lung disease, they are not free of limitations. People with CF typically have progressive lung disease caused by colonisation of a variety of bacterial species that changes over time in response to a range of factors. Therefore, the direct delivery of P. aeruginosa into the sterile lungs does not mimic this natural progression whereby certain bacterial species become dominant in CF lung infections. For accurate representation, where appropriate, studies should consider co-infection as well as sequential infection models (Millette et al., 2019).

Models that use high doses of a laboratory strain of P. aeruginosa, resulting in acute sepsis and mortality, do not recapitulate typical features of CF lung disease in particular the steady low-level introduction of P. aeruginosa from the normal daily environment. Further, some CF animal models appear to be able to clear P. aeruginosa without the aid of a substance to retain it in the lung, whereas people with CF are unable to clear the bacteria. However, this may be due to those CF animals falling to develop hallmark features of CF lung disease, such as mucus obstruction, that prevent clearing of the bacteria.

Concluding remarks

As all current CF rodent models do not develop spontaneous or chronic lung disease, efforts to induce a more CF-like lung disease phenotype have been pursued. Taken together, the literature demonstrates that the development of a P. aeruginosa infection model for CF can have varied success, and establishing the correct method and dose for a given experimental question about CF-like lung infection can be challenging. There are many aspects to be considered, including the strain of P. aeruginosa, method of P. aeruginosa delivery and if planktonic forms are not suitable, which is the optimal substance for P. aeruginosa to be delivered within. Nonetheless, selecting the right model for the research application is important so that the most informative and reliable outcomes can be obtained. Additionally, future implementation of a standardized reporting method in the literature would be beneficial to further aid researchers in comparing and selecting the most suitable experimental approach for their study. In conclusion, no single rodent model fully recapitulates all aspects of CF lung disease, however these infection models are undoubtedly essential tools for developing novel therapeutic strategies and improving understanding of CF pathogenesis and mechanisms to progress to the clinic.

Author contributions

NR was the major contributor to writing the manuscript, AM, PC, DP and MD all aided in writing parts of the manuscript. All authors read and approved the final manuscript.

Funding

Research supported by NHMRC Project Grant GNT1160011 and Cystic Fibrosis Foundation Grant DONNEL21GO.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2023.1104856/full#supplementary-material

References

Andreu N., Zelmer A., Wiles S. (2011). Noninvasive biophotonic imaging for studies of infectious disease. FEMS Microbiol. Rev. 35 (2), 360–394. doi:10.1111/j.1574-6976.2010.00252.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Bakker-Woudenberg I. A. (2003). Experimental models of pulmonary infection. J. Microbiol. methods 54 (3), 295–313. doi:10.1016/s0167-7012(03)00118-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Bayes H., Ritchie N., Irvine S., Evans T. J. (2016). A murine model of early Pseudomonas aeruginosa lung disease with transition to chronic infection. Sci. Rep. 6 (1), 35838–35910. doi:10.1038/srep35838

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhagirath A. Y., Li Y., Somayajula D., Dadashi M., Badr S., Duan K. (2016). Cystic fibrosis lung environment and Pseudomonas aeruginosa infection. BMC Pulm. Med. 16 (1), 174. doi:10.1186/s12890-016-0339-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonfield T. L., Sutton M. T., Fletcher D. R., Folz M. A., Ragavapuram V., Somoza R. A., et al. (2021). Donor-defined mesenchymal stem cell antimicrobial potency against nontuberculous mycobacterium. Stem Cells Transl. Med. 10 (8), 1202–1216. doi:10.1002/sctm.20-0521

PubMed Abstract | CrossRef Full Text | Google Scholar

Bragonzi A., Paroni M., Nonis A., Cramer N., Montanari S., Rejman J., et al. (2009). Pseudomonas aeruginosa microevolution during cystic fibrosis lung infection establishes clones with adapted virulence. Am. J. Respir. Crit. Care Med. 180 (2), 138–145. doi:10.1164/rccm.200812-1943OC

PubMed Abstract | CrossRef Full Text | Google Scholar

Bragonzi A., Worlitzsch D., Pier G. B., Timpert P., Ulrich M., Hentzer M., et al. (2005). Nonmucoid Pseudomonas aeruginosa expresses alginate in the lungs of patients with cystic fibrosis and in a mouse model. J. Infect. Dis. 192 (3), 410–419. doi:10.1086/431516

PubMed Abstract | CrossRef Full Text | Google Scholar

Brao K. J., Wille B. P., Lieberman J., Ernst R. K., Shirtliff M. E., Harro J. M. (2020). Scnn1b-Transgenic BALB/c mice as a model of Pseudomonas aeruginosa infections of the cystic fibrosis lung. Infect. Immun. 88 (9), 002377–e320. doi:10.1128/IAI.00237-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Bruscia E. M., Zhang P. X., Barone C., Scholte B. J., Homer R., Krause D. S., et al. (2016). Increased susceptibility of Cftr-/- mice to LPS-induced lung remodeling. Am. J. Physiol. Lung Cell Mol. Physiol. 310 (8), L711–L719. doi:10.1152/ajplung.00284.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Cash H. A., Woods D. E., McCullough B., Johanson W. G., Bass J. A. (1979). A rat model of chronic respiratory infection with Pseudomonas aeruginosa. Am. Rev. Respir. Dis. 119 (3), 453–459. doi:10.1164/arrd.1979.119.3.453

PubMed Abstract | CrossRef Full Text | Google Scholar

Chaaban M. R., Kejner A., Rowe S. M., Woodworth B. A. (2013). Cystic fibrosis chronic rhinosinusitis: A comprehensive review. Am. J. rhinology allergy 27 (5), 387–395. doi:10.2500/ajra.2013.27.3919

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang R. Y. K., Chow M. Y., Wang Y., Liu C., Hong Q., Morales S., et al. (2022). The effects of different doses of inhaled bacteriophage therapy for Pseudomonas aeruginosa pulmonary infections in mice. Clin. Microbiol. Infect. 28, 983–989. doi:10.1016/j.cmi.2022.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheung A. T., Moss R. B., Kurland G., Leong A. B., Novick W. J. (1993). Chronic Pseudomonas aeruginosa endobronchitis in rhesus monkeys: II. A histopathologic analysis. J. Med. Primatol. 22 (4), 257–262. doi:10.1111/j.1600-0684.1993.tb00666.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Chmiel J. F., Berger M., Konstan M. W. (2002). The role of inflammation in the pathophysiology of CF lung disease. Clin. Rev. allergy & Immunol. 23 (1), 5–27. doi:10.1385/CRIAI:23:1:005

PubMed Abstract | CrossRef Full Text | Google Scholar

Christophersen L., Trostrup H., Malling Damlund D. S., BjarnsholT T., Thomsen K., Jensen P. O., et al. (2012). Bead-size directed distribution of Pseudomonas aeruginosa results in distinct inflammatory response in a mouse model of chronic lung infection. Clin. Exp. Immunol. 170 (2), 222–230. doi:10.1111/j.1365-2249.2012.04652.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cigana C., Bianconi I., Baldan R., De Simone M., Riva C., Sipione B., et al. (2018). Staphylococcus aureus impacts Pseudomonas aeruginosa chronic respiratory disease in murine models. J. Infect. Dis. 217 (6), 933–942. doi:10.1093/infdis/jix621

PubMed Abstract | CrossRef Full Text | Google Scholar

Cigana C., Castandet J., Sprynski N., Melessike M., Beyria L., Ranucci S., et al. (2021). Pseudomonas aeruginosa elastase contributes to the establishment of chronic lung colonization and modulates the immune response in a murine model. Front. Microbiol. 11, 11. doi:10.3389/fmicb.2020.620819

CrossRef Full Text | Google Scholar

Cigana C., Lore N. I., Riva C., De Fino I., Spagnuolo L., Sipione B., et al. (2016). Tracking the immunopathological response to Pseudomonas aeruginosa during respiratory infections. Sci. Rep. 6, 21465. doi:10.1038/srep21465

PubMed Abstract | CrossRef Full Text | Google Scholar

Cigana C., Ranucci S., Rossi A., De Fino I., Melessike M., Bragonzi A. (2020). Antibiotic efficacy varies based on the infection model and treatment regimen for Pseudomonas aeruginosa. Eur. Respir. J. 55 (3), 1802456. doi:10.1183/13993003.02456-2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Coleman F. T., Mueschenborn S., Meluleni G., Ray C., Carey V. J., Vargas S. O., et al. (2003). Hypersusceptibility of cystic fibrosis mice to chronic Pseudomonas aeruginosa oropharyngeal colonization and lung infection. Proc. Natl. Acad. Sci. U. S. A. 100 (4), 1949–1954. doi:10.1073/pnas.0437901100

PubMed Abstract | CrossRef Full Text | Google Scholar

Collie D., Govan J., Wright S., Thornton E., Tennant P., Smith S., et al. (2013). A lung segmental model of chronic Pseudomonas infection in sheep. PLOS ONE 8 (7), e67677. doi:10.1371/journal.pone.0067677

PubMed Abstract | CrossRef Full Text | Google Scholar

Cutone A., Lepanto M. S., Rosa L., Scotti M. J., Rossi A., Ranucci S., et al. (2019). Aerosolized bovine lactoferrin counteracts infection, inflammation and iron dysbalance in A cystic fibrosis mouse model of Pseudomonas aeruginosa chronic lung infection. Int. J. Mol. Sci. 20 (9), 2128. doi:10.3390/ijms20092128

PubMed Abstract | CrossRef Full Text | Google Scholar

Dagenais A., Gosselin D., Guilbault C., Radzioch D., Berthiaume Y. (2005). Modulation of epithelial sodium channel (ENaC) expression in mouse lung infected with Pseudomonas aeruginosa. Respir. Res. 6 (1), 2. doi:10.1186/1465-9921-6-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Damkiær S., Yang L., Molin S., Jelsbak L. (2013). Evolutionary remodeling of global regulatory networks during long-term bacterial adaptation to human hosts. Proc. Natl. Acad. Sci. U. S. A. 110 (19), 7766–7771. doi:10.1073/pnas.1221466110

PubMed Abstract | CrossRef Full Text | Google Scholar

Delbari A., Fadaei F., Salehi M., Farahani R. M., Piryaei A., Heidari M. H., et al. (2014). A simple method for generating small calcium-alginate beads by syringe. J. Histotechnology 37 (4), 132–137. doi:10.1179/2046023614y.0000000048

CrossRef Full Text | Google Scholar

Döring G., Flume P., Heijerman H., Elborn J. S.Consensus Study Group (2012). Treatment of lung infection in patients with cystic fibrosis: Current and future strategies. J. Cyst. Fibros. 11 (6), 461–479. doi:10.1016/j.jcf.2012.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Evans S. E., Tuvim M. J., Zhang J., Larson D. T., Garcia C. D., Martinez-Pro S., et al. (2010). Host lung gene expression patterns predict infectious etiology in a mouse model of pneumonia. Respir. Res. 11 (1), 101. doi:10.1186/1465-9921-11-101

PubMed Abstract | CrossRef Full Text | Google Scholar

Facchini M., De Fino I., Riva C., Bragonzi A. (2014). Long term chronic Pseudomonas aeruginosa airway infection in mice. J. Vis. Exp. 85, 51019. doi:10.3791/51019

PubMed Abstract | CrossRef Full Text | Google Scholar

Finnan S., Morrissey J. P., O'Gara F., Boyd E. F. (2004). Genome diversity of Pseudomonas aeruginosa isolates from cystic fibrosis patients and the hospital environment. J. Clin. Microbiol. 42 (12), 5783–5792. doi:10.1128/JCM.42.12.5783-5792.2004

PubMed Abstract | CrossRef Full Text | Google Scholar

Folkesson A., Jelsbak L., Yang L., Johansen H. K., Ciofu O., Hoiby N., et al. (2012). Adaptation of Pseudomonas aeruginosa to the cystic fibrosis airway: An evolutionary perspective. Nat. Rev. Microbiol. 10 (12), 841–851. doi:10.1038/nrmicro2907

PubMed Abstract | CrossRef Full Text | Google Scholar

Growcott E. J., CoulthArd A., Amison R., Hardaker E. L., Saxena V., MaLt L., et al. (2011). Characterisation of a refined rat model of respiratory infection with Pseudomonas aeruginosa and the effect of ciprofloxacin. J. Cyst. Fibros. 10 (3), 166–174. doi:10.1016/j.jcf.2010.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Henderson A. G., Davis J. M., Keith J. D., Green M. E., Oden A. M., Rowe S. M., et al. (2022). Static mucus impairs bacterial clearance and allows chronic infection with Pseudomonas aeruginosa in the cystic fibrosis rat. Eur. Respir. J. 60, 2101032. doi:10.1183/13993003.01032-2021

CrossRef Full Text | Google Scholar

Hengzhuang W., Song Z., Ciofu O., Onsoyen E., Rye P. D., Hoiby N. (2016). OligoG CF-5/20 disruption of mucoid Pseudomonas aeruginosa biofilm in a murine lung infection model. Antimicrob. agents Chemother. 60 (5), 2620–2626. doi:10.1128/AAC.01721-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoffmann N. (2007). Animal models of chronic Pseudomonas aeruginosa lung infection in cystic fibrosis. Drug Discov. Today Dis. Models 4 (3), 99–104. doi:10.1016/j.ddmod.2007.11.008

CrossRef Full Text | Google Scholar

Hoffmann N., Rasmussen T. B., Jensen P. O., Stub C., Hentzer M., Molin S., et al. (2005). Novel mouse model of chronic Pseudomonas aeruginosa lung infection mimicking cystic fibrosis. Infect. Immun. 73 (4), 2504–2514. doi:10.1128/IAI.73.4.2504-2514.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Hogardt M., Heesemann J. (2010). Adaptation of Pseudomonas aeruginosa during persistence in the cystic fibrosis lung. Int. J. Med. Microbiol. 300 (8), 557–562. doi:10.1016/j.ijmm.2010.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Jelsbak L., Johansen H. K., Frost A. L., Thogersen R., Thomsen L. E., Ciofu O., et al. (2007). Molecular Epidemiology and Dynamics of Pseudomonas aeruginosa Populations in Lungs of cystic fibrosis patients. Infect. Immun. 75 (5), 2214–2224. doi:10.1128/IAI.01282-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Jensen P., Bjarnsholt T., Phipps R., Rasmussen T. B., Calum H., Christoffersen L., et al. (2007). Rapid necrotic killing of polymorphonuclear leukocytes is caused by quorum-sensing-controlled production of rhamnolipid by Pseudomonas aeruginosa. Microbiol. Read. 153 (5), 1329–1338. doi:10.1099/mic.0.2006/003863-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Klockgether J., Munder A., Neugebauer J., Davenport C. F., Stanke F., Larbig K. D., et al. (2010). Genome diversity of Pseudomonas aeruginosa PAO1 laboratory strains. J. Bacteriol. 192 (4), 1113–1121. doi:10.1128/JB.01515-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Kukavica-Ibrulj I., Bragonzi A., Paroni M., Winstanley C., Sanschagrin F., O'Toole G. A., et al. (2008). In vivo growth of Pseudomonas aeruginosa strains PAO1 and PA14 and the hypervirulent strain LESB58 in a rat model of chronic lung infection. J. Bacteriol. 190 (8), 2804–2813. doi:10.1128/JB.01572-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawrenz M. B., Biller A. E., Cramer D. E., Kraenzle J. L., Sotsky J. B., Vanover C. D., et al. (2015). Development and evaluation of murine lung-specific disease models for Pseudomonas aeruginosa applicable to therapeutic testing. Pathogens Dis. 73 (5), ftv025. doi:10.1093/femspd/ftv025

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee T. W., Brownlee K. G., Conway S. P., Denton M., Littlewood J. M. (2003). Evaluation of a new definition for chronic Pseudomonas aeruginosa infection in cystic fibrosis patients. J. Cyst. Fibros. 2 (1), 29–34. doi:10.1016/S1569-1993(02)00141-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorè N. I., Cigana C., De Fino I., Riva C., Juhas M., Schwager S., et al. (2012). Cystic fibrosis-niche adaptation of Pseudomonas aeruginosa reduces virulence in multiple infection hosts. PloS one 7 (4), e35648. doi:10.1371/journal.pone.0035648

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorè N. I., Cigana C., Riva C., De Fino I., Nonis A., Spagnuolo L., et al. (2016). IL-17A impairs host tolerance during airway chronic infection by Pseudomonas aeruginosa. Sci. Rep. 6 (1), 25937. doi:10.1038/srep25937

PubMed Abstract | CrossRef Full Text | Google Scholar

Lorè N. I., Veraldi N., Riva C., Sipione B., Spagnuolo L., De Fino I., et al. (2018). Synthesized heparan sulfate competitors attenuate Pseudomonas aeruginosa lung infection. Int. J. Mol. Sci. 19 (1), 207. doi:10.3390/ijms19010207

PubMed Abstract | CrossRef Full Text | Google Scholar

MacDonald K. D., Chang H.-Y. S., Mitzner W. (2009). An improved simple method of mouse lung intubation. J. Appl. physiology 106 (3), 984–987. doi:10.1152/japplphysiol.91376.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Malhotra S., Hayes D., Wozniak D. J. (2019). Cystic fibrosis and Pseudomonas aeruginosa: The host-microbe interface. Clin. Microbiol. Rev. 32 (3), 001388–e218. doi:10.1128/CMR.00138-18

CrossRef Full Text | Google Scholar

Mall M., Grubb B. R., Harkema J. R., O'Neal W. K., Boucher R. C. (2004). Increased airway epithelial Na+ absorption produces cystic fibrosis-like lung disease in mice. Nat. Med. 10 (5), 487–493. doi:10.1038/nm1028

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarron A., Donnelley M., Parsons D. (2018). Airway disease phenotypes in animal models of cystic fibrosis. Respir. Res. 19 (1), 54. doi:10.1186/s12931-018-0750-y

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarron A., Parsons D., Donnelley M. (2021). Animal and cell culture models for cystic fibrosis: Which model is right for your application? Am. J. Pathol. 191 (2), 228–242. doi:10.1016/j.ajpath.2020.10.017

PubMed Abstract | CrossRef Full Text | Google Scholar

McConnell K. W., McDunn J. E., Clark A. T., Dunne W. M., Dixon D. J., Turnbull I. R., et al. (2010). Streptococcus pneumoniae and Pseudomonas aeruginosa pneumonia induce distinct host responses. Crit. care Med. 38 (1), 223–241. doi:10.1097/CCM.0b013e3181b4a76b

PubMed Abstract | CrossRef Full Text | Google Scholar

McIntyre C., Donnelley M., Rout-Pitt N., Parsons D. (2018). Lobe-specific gene vector delivery to rat lungs using a miniature bronchoscope. Hum. gene Ther. methods 29 (5), 228–235. doi:10.1089/hgtb.2018.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Millette G., Langlois J. P., Brouillette E., Frost E. H., Cantin A. M., Malouin F. (2019). Despite antagonism in vitro, Pseudomonas aeruginosa enhances Staphylococcus aureus colonization in a murine lung infection model. Front. Microbiol. 10, 2880. doi:10.3389/fmicb.2019.02880

PubMed Abstract | CrossRef Full Text | Google Scholar

Munder A., Tschernig T., Dorsch M., LuhrmAnn A., van Griensven M., et al. (2002). Pulmonary microbial infection in mice: Comparison of different application methods and correlation of bacterial numbers and histopathology. Exp. Toxicol. Pathol. 54 (2), 127–133. doi:10.1078/0940-2993-00240

PubMed Abstract | CrossRef Full Text | Google Scholar

Munder A., Wolbeling F., Kerber-Momot T., Wedekind D., Baumann U., Gulbins E., et al. (2011). Acute intratracheal Pseudomonas aeruginosa infection in cystic fibrosis mice is age-independent. Respir. Res. 12 (1), 148–215. doi:10.1186/1465-9921-12-148

PubMed Abstract | CrossRef Full Text | Google Scholar

Munder A., Wolbeling F., Klockgether J., Wiehlmann L., Tummler B. (2014). In vivo imaging of bioluminescent Pseudomonas aeruginosa in an acute murine airway infection model. Pathog. Dis. 72 (1), 74–77. doi:10.1111/2049-632X.12184

PubMed Abstract | CrossRef Full Text | Google Scholar

Parkins M. D., Somayaji R., Waters V. J. (2018). Epidemiology, biology, and impact of clonal Pseudomonas aeruginosa infections in cystic fibrosis. Clin. Microbiol. Rev. 31 (4), 000199–e118. doi:10.1128/CMR.00019-18

CrossRef Full Text | Google Scholar

Pedersen S. S., Shand G. H., Hansen B. L., Hansen G. N. (1990). Induction of experimental chronic Pseudomonas aeruginosa lung infection with P. aeruginosa entrapped in alginate microspheres. APMIS 98, 203–211. doi:10.1111/j.1699-0463.1990.tb01023.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Proesmans M., Balinska-MiskieWicz W., Dupont L., Bossuyt X., Verhaegen J., Hoiby N., et al. (2006). Evaluating the "Leeds criteria" for Pseudomonas aeruginosa infection in a cystic fibrosis centre. Eur. Respir. J. 27 (5), 937–943. doi:10.1183/09031936.06.00100805

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramsay K. A., Stockwell R. E., Bell S. C., Kidd T. J. (2016). Infection in cystic fibrosis: Impact of the environment and climate. Expert Rev. Respir. Med. 10 (5), 505–519. doi:10.1586/17476348.2016.1162715

PubMed Abstract | CrossRef Full Text | Google Scholar

Rejman J., De Fino I., Paroni M., Bragonzi A., Demeester J., De Smedt S., et al. (2010). Impact of chronic pulmonary infection with Pseudomonas aeruginosa on transfection mediated by viral and nonviral vectors. Hum. Gene Ther. 21 (3), 351–356. doi:10.1089/hum.2009.085

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosenjack J., Hodges C. A., Darrah R. J., Kelley T. J. (2019). HDAC6 depletion improves cystic fibrosis mouse airway responses to bacterial challenge. Sci. Rep. 9 (1), 10282. doi:10.1038/s41598-019-46555-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Saadane A., Soltys J., Berger M. (2006). Acute Pseudomonas challenge in cystic fibrosis mice causes prolonged nuclear factor-kappa B activation, cytokine secretion, and persistent lung inflammation. J. Allergy Clin. Immunol. 117 (5), 1163–1169. doi:10.1016/j.jaci.2006.01.052

PubMed Abstract | CrossRef Full Text | Google Scholar

Scarff J. M., Goldberg J. B. (2008). Vaccination against Pseudomonas aeruginosa Pneumonia in immunocompromised mice. Clin. Vaccine Immunol. 15 (2), 367–375. doi:10.1128/CVI.00419-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Schroeder T. H., ReiNiger N., Meluleni G., Grout M., Coleman F. T., Pier G. B. (2001). Transgenic cystic fibrosis mice exhibit reduced early clearance of Pseudomonas aeruginosa from the respiratory tract. J. Immunol. 166 (12), 7410–7418. doi:10.4049/jimmunol.166.12.7410

PubMed Abstract | CrossRef Full Text | Google Scholar

Song Z., Wu H., Mygind P., Raventos D., Sonksen C., Kristensen H. H., et al. (2005). Effects of intratracheal administration of novispirin G10 on a rat model of mucoid Pseudomonas aeruginosa lung infection. Antimicrob. Agents Chemother. 49 (9), 3868–3874. doi:10.1128/AAC.49.9.3868-3874.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Sousa A. M., Pereira M. O. (2014). Pseudomonas aeruginosa diversification during infection development in cystic fibrosis lungs-A review. Pathog. (Basel, Switz. 3 (3), 680–703. doi:10.3390/pathogens3030680

PubMed Abstract | CrossRef Full Text | Google Scholar

Starke J. R., Edwards M. S., Langston C., Baker C. J. (1987). A mouse model of chronic pulmonary infection with Pseudomonas aeruginosa and Pseudomonas cepacia. Pediatr. Res. 22 (6), 698–702. doi:10.1203/00006450-198712000-00017

PubMed Abstract | CrossRef Full Text | Google Scholar

Stoltz D. A., Meyerholz D. K., Pezzulo A. A., Ramachandran S., Rogan M. P., Davis G. J., et al. (2010). Cystic fibrosis pigs develop lung disease and exhibit defective bacterial eradication at birth. Sci. Transl. Med. 2 (29), 29ra31. doi:10.1126/scitranslmed.3000928

PubMed Abstract | CrossRef Full Text | Google Scholar

Stuart B., Lin J. H., Mogayzel P. J. (2010). Early eradication of Pseudomonas aeruginosa in patients with cystic fibrosis. Paediatr. Respir. Rev. 11 (3), 177–184. doi:10.1016/j.prrv.2010.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun X., Olivier A. K., Liang B., Yi Y., Sui H., Evans T. I. A., et al. (2014). Lung phenotype of juvenile and adult cystic fibrosis transmembrane conductance regulator-knockout ferrets. Am. J. Respir. Cell Mol. Biol. 50 (3), 502–512. doi:10.1165/rcmb.2013-0261OC

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomassen M. J., Klinger J. D., Winnie G. B., Wood R. E., Burtner C., Tomashefski J. F., et al. (1984). Pulmonary cellular response to chronic irritation and chronic Pseudomonas aeruginosa pneumonia in cats. Infect. Immun. 45 (3), 741–747. doi:10.1128/IAI.45.3.741-747.1984

PubMed Abstract | CrossRef Full Text | Google Scholar

Thorn R. M. S., Nelson S. M., Greenman J. (2007). Use of a bioluminescent Pseudomonas aeruginosa Strain within an in vitro microbiological system, as a Model of wound infection, to Assess the antimicrobial Efficacy of wound Dressings by monitoring light production. Antimicrob. Agents Chemother. 51 (9), 3217–3224. doi:10.1128/AAC.00302-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Torres B. G. S., Awad R., Marchand S., Couet W., Tewes F. (2019). In vitro evaluation of Pseudomonas aeruginosa chronic lung infection models: Are agar and calcium-alginate beads interchangeable? Eur. J. Pharm. Biopharm. 143, 35–43. doi:10.1016/j.ejpb.2019.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

van Heeckeren A. M., Schluchter M. D., Xue W., Davis P. B. (2006). Response to acute lung infection with mucoid Pseudomonas aeruginosa in cystic fibrosis mice. Am. J. Respir. Crit. care Med. 173 (3), 288–296. doi:10.1164/rccm.200506-917OC

PubMed Abstract | CrossRef Full Text | Google Scholar

van Heeckeren A. M., Schluchter M. (2002). Murine models of chronic Pseudomonas aeruginosa lung infection. Lab. Anim. 36 (3), 291–312. doi:10.1258/002367702320162405

PubMed Abstract | CrossRef Full Text | Google Scholar

van Heeckeren A. M., Tscheikuna J., Walenga R. W., Konstan M. W., Davis P. B., Erokwu B., et al. (2000). Effect of Pseudomonas infection on weight loss, lung mechanics, and cytokines in mice. Am. J. Respir. Crit. Care Med. 161 (1), 271–279. doi:10.1164/ajrccm.161.1.9903019

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Pseudomonas aeruginosa, animal models, lung disease, cystic fibrosis, lung infection

Citation: Reyne N, McCarron A, Cmielewski P, Parsons D and Donnelley M (2023) To bead or not to bead: A review of Pseudomonas aeruginosa lung infection models for cystic fibrosis. Front. Physiol. 14:1104856. doi: 10.3389/fphys.2023.1104856

Received: 22 November 2022; Accepted: 25 January 2023;
Published: 07 February 2023.

Edited by:

Johnatas Dutra Silva, Queen’s University Belfast, United Kingdom

Reviewed by:

Ian Michael Thornell, The University of Iowa, United States
Josue Sznitman, Technion Israel Institute of Technology, Israel

Copyright © 2023 Reyne, McCarron, Cmielewski, Parsons and Donnelley. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Nicole Reyne, nikki.reyne@adelaide.edu.au

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