Abstract
Staphylococcus aureus invasion of the osteocyte lacuno-canalicular network (OLCN) is a novel mechanism of bacterial persistence and immune evasion in chronic osteomyelitis. Previous work highlighted S. aureus cell wall transpeptidase, penicillin binding protein 4 (PBP4), and surface adhesin, S. aureus surface protein C (SasC), as critical factors for bacterial deformation and propagation through nanopores in vitro, representative of the confined canaliculi in vivo. Given these findings, we hypothesized that cell wall synthesis machinery and surface adhesins enable durotaxis- and haptotaxis-guided invasion of the OLCN, respectively. Here, we investigated select S. aureus cell wall synthesis mutants (Δpbp3, Δatl, and ΔmreC) and surface adhesin mutants (ΔclfA and ΔsasC) for nanopore propagation in vitro and osteomyelitis pathogenesis in vivo. In vitro evaluation in the microfluidic silicon membrane-canalicular array (μSiM-CA) showed pbp3, atl, clfA, and sasC deletion reduced nanopore propagation. Using a murine model for implant-associated osteomyelitis, S. aureus cell wall synthesis proteins were found to be key modulators of S. aureus osteomyelitis pathogenesis, while surface adhesins had minimal effects. Specifically, deletion of pbp3 and atl decreased septic implant loosening and S. aureus abscess formation in the medullary cavity, while deletion of surface adhesins showed no significant differences. Further, peri-implant osteolysis, osteoclast activity, and receptor activator of nuclear factor kappa-B ligand (RANKL) production were decreased following pbp3 deletion. Most notably, transmission electron microscopy (TEM) imaging of infected bone showed that pbp3 was the only gene herein associated with decreased submicron invasion of canaliculi in vivo. Together, these results demonstrate that S. aureus cell wall synthesis enzymes are critical for OLCN invasion and osteomyelitis pathogenesis in vivo.
Keywords: S. aureus, osteomyelitis, cell wall, PBP 3, autolysin, surface adhesion, osteocyte canaliculi, osteolysis
Introduction
Staphylococcus aureus is a ubiquitous organism of the human microbiota colonizing the nares of approximately 30% of individuals (Kluytmans et al., 1997). Despite its ability to asymptomatically colonize a large percentage of the population, S. aureus can also cause severe disease as an opportunistic pathogen (Lowy, 1998). In the setting of implant-associated bone infection, S. aureus has evolved to express various virulence mechanisms that enhance its survival and ability to evade host immunity.
While many pathogens have been reported to cause prosthetic joint infections (Parvizi et al., 2008), clinically S. aureus remains the most important infectious pathogen to date. It is not only the most prevalent pathogen in implant-associated osteomyelitis (Arciola et al., 2005; Pulido et al., 2008) but also the most destructive. Moreover, S. aureus infection of the bone is considered very difficult to cure (Tomizawa et al., 2020; Masters et al., 2021), due to specific mechanisms that enable bacterial survival within the implant and bone microenvironment following revision surgery and antibiotic therapy [reviewed in Masters et al. (2019b) and Muthukrishnan et al. (2019)].
Our discovery of S. aureus invasion of the osteocyte lacuno-canalicular network (OLCN) of the cortical bone, initially described in murine models for implant-associated osteomyelitis (de Mesy Bentley et al., 2017) and later validated in human diabetic foot infections (de Mesy Bentley et al., 2018), has become a prominent area of active research. In order to invade the submicron-sized canaliculi of the OLCN, S. aureus must deform from a 1-μm cocci to an elongated “rod-shaped” cell, measuring as small as 0.2 μm in diameter (de Mesy Bentley et al., 2017). This submicron-scale invasion of bone permits S. aureus long-term survival and evasion of immune cell attack. Despite the challenges associated with identifying S. aureus bacterial cells deep within the infected bone, like finding a needle in a haystack, additional studies in models of fracture-related infection and implant-associated infection have been able to corroborate this novel mode of persistence (Alder et al., 2020; Zoller et al., 2020).
Toward elucidation of druggable targets to effectively treat chronic osteomyelitis, recent studies aimed to determine the genetic mechanism of S. aureus deformation and propagation through the OLCN. Previous work developed an in vitro model called the microfluidic silicon membrane-canalicular array (μSiM-CA) to mimic the physiologic dimensions of canaliculi to screen a library of S. aureus transposon insertion mutants (Masters et al., 2019a, 2020). These studies showed that deletion of pbp4, encoding the cell wall transpeptidase penicillin binding protein 4 (PBP4), significantly reduced S. aureus propagation through nanopores in vitro and eliminated S. aureus invasion of the OLCN while also decreasing the extent of pathogenic bone loss at the infection site in a murine model of implant-associated osteomyelitis (Masters et al., 2020). However, the mechanism of PBP4 involvement in OLCN invasion, as well as modulation of pathogenic bone loss, remains unclear. In addition, expression of S. aureus surface protein C (SasC) was critical for S. aureus deformation and propagation through nanopores (Masters et al., 2020) in vitro but has not yet been validated for OLCN in vivo.
We hypothesize that S. aureus invades the OLCN via the guidance of durotaxis and haptotaxis cues, which are defined as motility guided by substrate stiffness (Sunyer et al., 2016; Sunyer and Trepat, 2020) and three-dimensional (3D) extracellular matrix (ECM) organization (Hsu et al., 2005; Oudin et al., 2016), respectively. Therefore, the current study aims to build upon previous work by investigating the role of select S. aureus genes across different functional groups in osteomyelitis pathogenesis to improve our understanding of S. aureus OLCN invasion. Specifically, this work investigates cell wall biosynthesis proteins: penicillin binding protein 3 (PBP3), autolysin (Atl), and cell shape-determining protein MreC (MreC), hypothesized to mediated durotaxis; and surface adhesin proteins: clumping factor A (ClfA) and SasC, hypothesized to mediate haptotaxis (Figure 1).
The bacterial cell wall is primarily composed of peptidoglycan, whose synthesis is catalyzed by PBPs. S. aureus has four genome-encoded PBPs (1–4), where PBP1 and PBP2 are essential proteins for cell wall synthesis (Sauvage et al., 2008). PBP3 and PBP4 are both non-essential, monofunctional PBPs with only transpeptidase activity (Pinho et al., 2000; Scheffers and Pinho, 2005). PBP4 is the only low-molecular-weight PBP of S. aureus and is largely responsible for high degrees of muropeptide cross-linking in the cell wall (Navratna et al., 2010). PBP3 is considered a class B, high-molecular-weight PBP, and its role in the S. aureus cell cycle is largely unknown (Yoshida et al., 2012; Kylväjä et al., 2016). Balancing the activity of the PBPs are S. aureus autolysins, or peptidoglycan hydrolases, which degrade the cell wall during growth and division. Atl is the major peptidoglycan hydrolase of S. aureus and is composed of amidase (Amd) and glucosaminidase (Gmd) subunits (Vollmer et al., 2008). In addition to its role in cell wall hydrolysis during cell division (Varrone et al., 2011, 2014), Atl also has the ability to bind ECM ligands as a surface adhesin and therefore may be involved in both haptotaxis and durotaxis functions (Clarke and Foster, 2006; Bose et al., 2012; Hirschhausen et al., 2012; Schlesier et al., 2020). Lastly, MreC is a morphogenetic determinant protein in rod-shaped bacteria (Carballido-López and Formstone, 2007; Divakaruni et al., 2007) but is conserved in S. aureus without a known function (Tavares et al., 2015). Previous studies showed that a mreC mutant trended toward decreased ability to propagate through nanopores in vitro, suggesting a possible role in OLCN invasion (Masters et al., 2020).
In addition to cell wall synthesis machinery, S. aureus surface adhesins were investigated for their role in OLCN invasion. S. aureus has a broad range of cell wall-anchored surface adhesin proteins, which are important for bacterial virulence and survival (Foster et al., 2014). Here, we investigate surface adhesins ClfA and SasC. ClfA is a cell wall-anchored protein that binds fibrin(ogen) (McDevitt et al., 1994), involved in abscess formation (Cheng et al., 2011) and infection severity in diabetic murine models (Farnsworth et al., 2017). SasC is a cell wall-anchored protein involved in cell aggregation and biofilm accumulation (Schroeder et al., 2009; Zhu et al., 2020). As mentioned, SasC was identified in previous studies as a statistically significant gene for nanopore propagation but was not validated with gene deletion and evaluated in vivo (Masters et al., 2020).
This study applied in vitro and in vivo methods to investigate the role of S. aureus cell wall synthesis machinery and surface adhesins in OLCN invasion. Here, we observe similarities between infection phenotypes of S. aureus pbp4 and pbp3 deletion mutants, including hindered OLCN invasion. Deletion of cell wall synthesis genes pbp4, pbp3, and atl showed modulated infection pathogenesis with altered abscess formation and decreased pathogenic bone loss, while mreC expression did not have a role in S. aureus implant-associated osteomyelitis. In contrast, deletion of surface adhesin genes clfA and sasC had marginal effects on infection pathogenesis in implant-associated osteomyelitis, leading to the conclusion that durotaxis may be the primary mechanism for S. aureus OLCN invasion and propagation.
Materials and Methods
Strains and Growth Conditions
Staphylococcus aureus USA300 and derivative mutant strains and primers used in this work are described in Supplementary Tables 1, 2, respectively. S. aureus strains were grown on tryptic soy agar (TSA) plates or in tryptic soy broth (TSB) at 37°C. S. aureus USA300 pbp4-null (Δpbp4), pbp3-null (Δpbp3), atl-null (Δatl), clfA-null (ΔclfA), sasC-null (ΔsasC), and mreC-null (ΔmreC) strains were constructed by allelic replacement using Escherichia coli–S. aureus shuttle vector pWedge, as previously described (Canfield et al., 2013). Deletion was confirmed by PCR amplification and sequencing of the chromosomal region flanking the gene of interest in USA300.
Growth Rate Measurements
Staphylococcus aureus cultures were prepared by growing overnight, and then subcultured the following day. Each strain of S. aureus was grown in a 96-well plate at 37°C with shaking in a spectrophotometer, and growth rate was evaluated by measuring optical density at 600 nm every hour from 0 to 24 h.
Scanning Electron Microscopy
Scanning electron microscopy (SEM) was used to characterize bacterial cell morphology and μSiM-CA bacterial propagation as previously described (Masters et al., 2019a, 2020). For cell morphology characterization, S. aureus cultures were grown overnight, and then subcultured and seeded onto poly-L-lysine-coated glass coverslips for 6 h before rinsing bacterial cells and fixating with 2.5% glutaraldehyde/4% paraformaldehyde in 0.1 M cacodylate buffer overnight. Similarly, μSiM-CA membranes were incubated for 6 h, as described above, and fixed with 2.5% glutaraldehyde/4% paraformaldehyde in 0.1 M cacodylate buffer overnight. Samples were postfixed in 1% osmium tetroxide, dehydrated in a graded series of ethanol to 100%, and critical point dried in a Tousimis CPD (Rockville, MD, United States). Samples were sputter coated with gold and imaged using a Zeiss Auriga Field Emission SEM (Jena, Germany) for quantification of cell diameters or qualitative assessment of bacterial propagation. ImageJ, specifically Fiji (Schindelin et al., 2012), was used to measure the maximum cell diameter across six separate SEM images per cell type, where a minimum of 20 cells were measured in each image.
Microfluidic Silicon Membrane-Canalicular Array Propagation Experiments
Microfluidic silicon membrane-canalicular array devices were constructed as previously described (Masters et al., 2019a, 2020). Briefly, this system features a 400-nm-thick silicon nitride membrane with an array of 500-nm-sized pores fabricated by SiMPore Inc. (West Henrietta, NY, United States). High-throughput production of μSiM-CA was achieved by ALine Inc. (Rancho Dominguez, CA, United States) using laser cutting and lamination of acrylic, polyethylene terephthalate, and cyclo-olefin polymer layers bonded with pressure-sensitive adhesives, as previously described (Masters et al., 2019a). The resulting device contains defined top and bottom wells connected only through the nanoporous membrane.
The μSiM-CA device was loaded by adding 10 μl of sterile TSB to the basal chamber of the device via the side inlet channels, and 80 μl of pure bacterial subcultures to the apical chamber above the nanoporous membrane. S. aureus strains were incubated in the top chamber of the μSiM-CA at 37°C for 6 h. Following incubation in the μSiM-CA, apical (input) and basal (output) media were aspirated and outgrown overnight to expand the resultant bacterial populations and confirm or deny bacterial propagation by positive or negative culture.
Murine Model for Implant-Associated Infection
All animal studies were performed in accordance with protocols approved by the University Committee on Animal Resources at the University of Rochester Medical Center and in accordance with the Animal Welfare Act. Surgeries were performed as previously described (Li et al., 2008; Varrone et al., 2014; Masters et al., 2020, 2021). Six-week-old, female Balb/C mice were purchased from Jackson Laboratories (Bar Harbor, ME, United States) and were acclimated for 1 week prior to surgery. Mice were housed five per cage in two-way housing on a 12-h light/dark cycle. A flat stainless steel wire with a cross section of 0.2 mm × 0.5 mm (MicroDyne Technologies, Plainville, CT, United States) was cut at 4 mm in length and bent into an L-shaped implant. Mice were anesthetized prior to surgery with xylazine (12 mg/kg) and ketamine (130 mg/kg) and were administered preoperative slow-release buprenorphine. The stainless steel pins were first sterilized, and then inoculated with an overnight culture S. aureus for 20 min (approximately 5.0 × 105 CFU/ml). The right hind limb was shaved and washed with 70% ethanol, and then a 5-mm incision was created on the medial surface of the tibia. Next, the tibia was drilled with 30- and 26-gauge needles before carefully inserting the infected pin through the tibia. Finally, the muscle and skin were closed, and day 0 X-ray images were acquired to confirm proper pin placement (LX-60 X-Ray Cabinet, Faxitron Bioptics LLC; Tucson, AZ, United States). Mice were weighed on days 0, 3, 7, 10, and 14 postinfection to track animal health. On day 14 postinfection, mice were sacrificed, and X-ray images were obtained to evaluate postinfection septic implant loosening. Pins were determined to be stably intact within the tibia as they were originally implanted or entirely dislodged from the tibia, as previously described (Masters et al., 2020, 2021). Tibia, implant, and soft tissue were harvested and placed in sterile phosphate-buffered saline (PBS) on ice for immediate colony-forming unit (CFU) quantification and subsequent cytokine quantification or placed in neutral buffered formalin (NBF) for subsequent micro-computed tomography (μCT) imaging, followed by histology and transmission electron microscopy (TEM).
Colony-Forming Unit Quantification
Tissue and implant CFUs were quantified as previously described (Masters et al., 2020, 2021). Infected tibia, implant, and adjacent soft tissue were harvested following animal sacrifice and placed in sterile PBS on ice. Infected tibia and soft tissue were homogenized in 3 ml of PBS in a 50-ml conical using an IKA T-10 handheld homogenizer (Wilmington, NC, United States). Implants were sonicated in 1 ml of sterile PBS for 2 min at 35 kHz (VWR Intl., Radnor, PA, United States) to dislodge adhered bacteria and then vortexed. Tissue homogenate fluid and implant sonicate fluid were serially diluted in PBS and plated on TSA. Plates were incubated overnight, and resultant colonies were counted. Infected tibia and soft tissue were weighed prior to homogenizing, and CFUs were ultimately normalized to tissue mass.
Histologic Analysis
Histologic staining of infected and sterile tibiae was performed as previously described (Masters et al., 2020, 2021). Briefly, following fixation and μCT imaging, samples were placed in 14% EDTA for 7 days of decalcification, paraffin processed, and embedded transversely with the medial side of the tibia facing downward. Five-micrometer sections were cut and mounted on glass slides.
Slides were deparaffinized and stained with Brown–Brenn modified Gram stain to visualize gram-positive bacteria. Brown–Brenn stain results in gram-positive organisms stained dark purple, cell nuclei stained pink, and connective tissue stained yellow. Slides were digitized using a VS120 Virtual Slide Microscope (Olympus, Waltham, MA, United States). The number of staphylococcal abscess communities (SACs) were quantified and averaged across three histological levels, for four biological replicates by manually counting in Olympus OlyVIA software. The area of SACs/tibia area was quantified using a custom Analysis Protocol Package (APP) in Visiopharm (v.2019.07; Hoersholm, Denmark). The APP utilizes colorimetric histomorphometry to detect gram-positive bacteria (dark purple) to accurately quantify SAC area.
Tartrate-resistant acid phosphatase (TRAP) staining was performed to visualize TRAP+ osteoclasts. TRAP stain results in TRAP+ osteoclasts stained red/purple with a blue/green tissue background. Slides were digitized using a VS120 Virtual Slide Microscope (Olympus, Waltham, MA, United States). % TRAP area was quantified using a custom APP in Visiopharm (v.2019.07; Hoersholm, Denmark) within the whole tibia. The APP utilizes colorimetric histomorphometry to detect TRAP staining (red/purple), fast green counterstain (blue/green), and background (white) in order to accurately segment TRAP+ area for quantification. TRAP quantification was blinded.
Micro-Computed Tomography Imaging and Analysis
Infected tibias were fixed in 10% NBF for 3 days at room temperature with associated soft tissue and implant left intact, then rinsed in PBS and distilled water before soft tissue was dissected, and implant was removed. Infected tibias were imaged ex vivo by μCT in a VivaCT 40 (Scanco Medical, Bassersdorf, Switzerland) with a 10.5-μm isotropic voxel size, using an integration time of 300 ms, energy of 55 kV, and intensity of 145 μA. Resultant DICOM files were used to create a 3D reconstruction of bone tissue using Amira software (FEI Visualization Sciences Group, Burlington, MA, United States). Bone tissue was first binarized and reconstructed by thresholding. Medial hole and lateral hole volume quantification was performed by manual segmentation of the void area and interpolating through the depth of the tibial cortex, as previously described (Masters et al., 2020, 2021).
Transmission Electron Microscopy “Pop-Off”
Regions of interest within serially sectioned paraffin blocks of infected tibia samples, adjacent to Brown–Brenn–stained sections, were processed for TEM using the “pop-off” technique, as previously described (de Mesy Jensen and di Sant’Agnese, 1992; Masters et al., 2020, 2021). Briefly, slides were deparaffininzed in three changes xylene and then rehydrated through a graded series of ethanol to dH20. Rehydrated sections were then postfixed in buffered 2.5% glutaraldehyde overnight, rinsed in distilled water, and then postfixed in 1% osmium tetroxide for 20 min at room temperature. Slides were washed, dehydrated in a graded series ethanol to 100%, infiltrated for 1 h with a 1:1 mixture of 100% ethanol and Spurr resin, and embedded overnight in 100% resin. Regions of interest were polymerized in 100% Spurr resin under an inverted BEEM capsule for 24 h at 65°C. Capsules were “popped off” slides by dipping three to four times in liquid nitrogen. Thin sections were cut at ∼70 nm and placed onto formvar carbon-coated nickel slot grids for imaging using a Hitachi 7650 TEM (Pleasanton, CA, United States). Note that original formalin fixation of bone tissue, subsequent paraffin processing and embedding, and, finally, “pop-off” for TEM resulted in suboptimal ultrastructural tissue preservation. As a result, empty canaliculi often appeared as collapsed structures, making imaging of non-infected bone tissue challenging. TEM imaging was performed for three biological replicates of all groups, Δpbp3, Δatl, ΔmreC, ΔclfA, and ΔsasC. TEM imaging was blinded to sample group assignment.
Quantification of Local Cytokines
As mentioned, bone tissue was harvested at day 14 post-infection and homogenized on ice in 3 ml of sterile PBS. Bone homogenate was centrifuged at 13,000 rpm for 15 min at 4°C to pellet bone tissue. Supernatant was aspirated and frozen in several aliquots to reduce freeze–thaw cycles and maintain cytokine stability. The dilution factor of bone homogenate supernatant was optimized for each cytokine sandwich enzyme-linked immunosorbent assays (ELISAs). Cytokines investigated include receptor activator of nuclear factor kappa-B ligand (RANKL), interleukin-1β (IL-1β), and interleukin-6 (IL-6). Dilutions used for RANKL, IL-1β, and IL-6 were 1:5, 1:25, and no dilution, respectively. ELISA protocols were performed as per the manufacturer’s recommendations (R&D Systems, Minneapolis, MN, United States, catalog #: MTR00, MLB00C, and M6000B). Briefly, diluted bone homogenate supernatant was incubated in capture-antibody-coated wells for 2 h at room temperature. Next, wells were washed, and then incubated with secondary conjugated antibody for 2 h. Wells were washed again and incubated with substrate solution for 30 min. Finally, stop solution was added, and absorbance was read at 450 nm with wavelength correction at 570 nm. Additionally, cytokine levels were normalized to total protein measured by a Pierce Bicinchoninic Acid (BCA) Protein Assay Kit (Thermo Fisher Scientific, MA, United States) and reported as ng cytokine/mg total protein to account for variability in tibia-to-tibia size.
Statistical Analyses
Fisher’s exact test was used for comparison of nominal data to a control group, including evaluation of implant stability. Unpaired t-test was used when two groups were compared, including ΔmreC vs. wild-type (WT) comparisons in Supplementary Material. Two-way analysis of variance (ANOVA) with Sidak’s post-hoc for multiple comparisons was used to compare multiple variations such as differences in growth rate. One-way ANOVA, with Dunnett’s post-hoc for multiple comparisons vs. WT was used for data such as cell sizes, CFUs, abscess quantifications, μCT analysis, % TRAP quantification, and cytokine concentrations. CFU data were log transformed to achieve normal distributions for statistical analyses. All statistics were analyzed using GraphPad Prism.
Results
In vitro Characterization of Staphylococcus aureus Mutants
To expand our understanding of S. aureus invasion of the OLCN during osteomyelitis, we aimed to characterize the role of S. aureus cell wall synthesis proteins (PBP3, Atl, and MreC) and surface proteins (ClfA and SasC) in vitro and in vivo. Markerless deletion mutants were created in the methicillin-resistant strain of S. aureus, USA300. To eliminate potential confounding factors in downstream studies, mutant strain cell morphology and growth rate were evaluated. SEM imaging showed that all mutant strains have unchanged cell morphology (Figure 2A), with the exception of the atl deletion mutant (Figure 3). As the primary peptidoglycan hydrolase, loss of Atl is expected to cause an aberrant cell wall phenotype. Here, we observed atl deletion mutants having rougher cell wall compared to WT, which has been shown in previous work (Nega et al., 2020).
Bacterial cell size was quantified by measuring the diameters of 100 cells across at least six SEM images. Mean bacterial cell size across images (Figure 2B) and across all cells (Figures 2C,D) showed atl deletion resulted in ∼6% increase in bacterial cell size. Next, the in vitro growth rate of WT S. aureus and mutant strains was evaluated by optical density at 600 nm measured every hour for 24 h (Figure 2E). While atl deletion resulted in an apparent decrease in growth (significantly different from WT at time points 3–23 h, p < 0.05), this mutant strain is known to form cell aggregates or “megaclusters” (Varrone et al., 2011, 2014) and has a tendency to fall out of suspension, thereby skewing optical density measurements (Varrone et al., 2011). Interestingly, pbp3 deletion caused attenuated growth during stationary phase (significantly different from WT at time points 8–23 h, p < 0.05).
The μSiM-CA in vitro model was used to determine the mutant strains’ ability to deform and propagate through the 0.5-μm pores of the membrane to the basal chamber of the device (Figure 4A). Note, previous work screened pools of transposon mutants in the μSiM-CA (Masters et al., 2020), while this work uses monocultures of deletion mutants. Briefly, pure cultures of WT S. aureus or deletion mutants were added to the apical chamber of the device, incubated for 6 h, then media within the basal chamber was outgrown to determine the presence of bacteria, and the bottom side of the membrane was imaged by SEM. Expectedly, WT S. aureus readily propagated through the μSiM-CA (Figure 4B). In addition, we observed that mreC deletion did not affect bacterial propagation, shown by positive cultures from basal media in 5/5 experiments and equivalent bacterial presence on the bottom surface of the membrane compared to WT (Figure 4C). Therefore, mreC is not required for OLCN invasion and included in the Supplementary Material from this point forward. However, deletion of atl and clfA showed positive cultures from basal media, with sparse bacterial presence (<10 cells) on the bottom surface of the membrane (Figures 4D,E). Most interestingly, complete loss of propagation was noted for pbp3 and sasC deletion strains, with negative cultures from basal media and membranes completely devoid of bacteria (Figures 4F,G). The results of in vitro characterization studies for S. aureus cell wall synthesis and surface adhesin deletion mutants are summarized in Table 1. As mentioned, Atl is associated with both cell wall synthesis and surface adhesin functions; however, for the purpose of this work, it was organized as a cell wall synthesis protein.
TABLE 1.
# Data adapted from, Masters et al. (2020). %Percent experiments with positive cultures from basal chamber.
Evaluating Staphylococcus aureus Pathogenesis in vivo
Following in vitro characterization, WT S. aureus and mutant strains (Δpbp3, Δatl, ΔmreC, ΔclfA, and ΔsasC) were evaluated for pathogenesis and, ultimately, OLCN invasion in vivo using a murine model of implant-associated osteomyelitis (Masters et al., 2020, 2021). In this model, a stainless steel pin is left sterile or inoculated with WT S. aureus or mutant strains (Δpbp3, Δatl, ΔmreC, ΔclfA, and ΔsasC) before being implanted through the tibia for 14 days. CFU quantification from in vivo infections showed equivalent bacterial colonization in bone, soft tissue, and implants by all mutant S. aureus strains compared to WT (Supplementary Figure 1). Animal weight change analysis, as a measure of morbidity, also revealed no differences between the infection groups (Supplementary Figure 2). At euthanasia, examination of implant stability via X-ray imaging revealed markedly less septic implant loosening in infection by cell wall synthesis deletion mutants (Figure 5A), while surface adhesin mutant infections show similar rates of septic loosening compared to WT (Figure 5D). Deletion of mreC showed no changes in CFUs nor implant loosening as predicted by the μSiM-CA screen (Supplementary Figure 3).
Histopathology of infected tibiae revealed that cell wall synthesis mutants tend to form smaller (Figure 5B) and significantly less SACs (Figure 5C) within the medullary cavity of infected tibiae. On the other hand, surface adhesin mutants showed no change in total abscesses (Figure 5F), and sasC deletion may influence the size of SACs (Figure 5E). Again, mreC deletion did not change abscess formation (Supplementary Figure 3). Representative images of Brown–Brenn–stained histologic sections are summarized in Supplementary Figure 4.
Previous work determined that pbp4 deletion eliminates S. aureus OLCN invasion (Masters et al., 2020). Brown–Brenn–stained histologic sections were used to identify regions of S. aureus colonized bone for TEM “pop-off,” as previously described (Masters et al., 2020). Infected bone fragments are commonly located near the implant site (Figures 6A,C,E,G). Magnified regions show extensive colonization of the yellow-stained bone tissue by the dark-purple-stained gram-positive bacterial cells in all mutant infection groups (Figures 6A’,C’,E’,G’). While all mutants show bone colonization, as suggested by the Brown–Brenn–stained histology, blinded TEM interrogation of the infected bone revealed that only Δatl, ΔclfA, and ΔsasC strains showed evidence of bacterial colonization of the OLCN (Figures 6B,D,F,H). Samples infected with Δpbp3 S. aureus showed colonization of wide channels (over 2 μm, likely microcracks) and within a blood vessel lacunar space (Figure 6B’). In contrast, Δatl, ΔclfA, and ΔsasC bacteria are measured at or below ∼0.5 μm in width, within the confines of the bone canaliculi. Note the Δatl S. aureus cell at the leading edge of canalicular invasion deformed to 0.35 μm in width and 2.3 μm in length (Figure 6D’). As expected, mreC deletion did not inhibit S. aureus invasion of the OLCN (Supplementary Figure 3). Bacterial infection phenotype in vivo is summarized in Table 2.
TABLE 2.
#Data adapted from, Masters et al. (2020). *Supplementary Data.
Evaluating the Host Response to Staphylococcus aureus Bone Infection
Next, the host response to infection was characterized by measuring peri-implant osteolysis and local cytokine production. First, μCT analysis was performed to quantify the extent of peri-implant osteolysis through the medial and lateral tibial cortices as previously described (Masters et al., 2020, 2021), and representative images are depicted in Figure 7A. Deletion of pbp3 showed a significant reduction in osteolysis of the medial cortex (Figure 7B), similar to the results of pbp4 deletion described in previous work (Masters et al., 2020). No significant changes were noted in lateral hole osteolysis with pbp3 and atl deletion; however, there is distinct grouping of high and low osteolysis samples among these cohorts (Supplementary Figure 5).
Histologic staining for TRAP within tibial cross sections was performed to determine osteoclast activity within sterile and infected tibial cross sections. % TRAP area within the whole tibia was averaged across multiple histologic levels per sample. Again, pbp3 deletion significantly reduced TRAP staining and, by extension, reduced osteoclast activity compared to WT infection (Figure 7C). Tibiae infected with Δpbp3 S. aureus showed statistically similar % TRAP area to sterile pin tibiae. These data support μCT quantification of peri-implant osteolysis.
To expand our understanding of peri-implant osteolysis during infection, the production of osteoclast activating cytokine, RANKL, was quantified by ELISA of infected and contralateral bone tissue homogenate at day 14 post-infection. First, contralateral tibiae showed undetectable levels of RANKL, confirming the response of a local infection versus systemic. Further, serum cytokine levels were undetectable (data not shown). Archived Δpbp4 infected tibiae were also processed for cytokine quantification. Interestingly, pbp4 deletion showed unchanged RANKL levels compared to WT despite an apparent decrease in osteolysis and osteoclast activity, described in previous work (Masters et al., 2020). Atl deletion, however, showed a significant reduction in local RANKL production despite unchanged osteolysis and osteoclast presence (Figure 7D). Pbp3 deletion resulted in a significant reduction in RANKL, as expected (Figure 7D). On the other hand, deletion of S. aureus surface adhesin genes showed modest changes in osteolysis and osteoclast activation. Loss of clfA and sasC did not alter medial (Figure 7E) or lateral (Supplementary Figure 5) osteolysis measured by μCT. Further, deletion of these surface adhesins did not change osteoclast presence through the tibiae (Figure 7F). Representative TRAP-stained histologic sections are summarized in Supplementary Figure 6. Interestingly, sasC deletion appeared to reduce RANKL expression, possibly due to hindered SAC formation (Figure 7G).
In addition to RANKL, local levels of presumed proinflammatory and osteoclast-activating cytokines, IL-1β and IL-6, were measured for WT and mutant S. aureus infection groups. Previous work has shown that IL-1β and IL-6 production is increased during osteomyelitis (Putnam et al., 2019). In contrast, deletion of cell wall synthesis genes, pbp4 and pbp3, did not significantly alter IL-1β production despite reductions in osteolysis and osteoclast activation (Figure 8A). However, deletion of surface adhesins clfA and sasC reduced local IL-1β production (Figure 8B). Most surprisingly, deletion of atl, clfA, and sasC resulted in increased IL-6 production compared to WT infection (Figures 8C,D). In vivo host–pathogen interactions for all mutant strains are summarized in Table 3.
TABLE 3.
#Data adapted from, Masters et al. (2020).
Discussion
This study investigated the role of select S. aureus cell wall synthesis proteins and surface adhesins in bone infection pathogenesis and invasion of the OLCN. We hypothesized that S. aureus cell wall synthesis machinery and surface adhesins enable durotaxis- and haptotaxis-driven bacterial cell invasion of the canalicular network in infected bone.
Previous studies identified PBP4 as a critical factor for S. aureus invasion of the OLCN and pathogenesis in osteomyelitis (Masters et al., 2020). PBP4 is a non-essential transpeptidase responsible for the characteristic high degree of peptidoglycan cross-linking of the S. aureus cell wall (Wyke et al., 1981). In this work, we evaluated PBP3, another non-essential transpeptidase of S. aureus (Pinho et al., 2000), for submicron deformation and OLCN invasion in vivo. In contrast to the results of the pooled mutant genetic screen, where pbp3 transposon mutants showed no change in nanopore propagation, this study showed that pbp3 deletion eliminated S. aureus deformation and propagation through nanopores, similar to pbp4 deletion. Further, in vivo studies showed pbp3 deletion decreased septic implant loosening and abscess formation like pbp4. While pbp3 deletion did not completely eliminate colonization of bone fragments, submicron-scale invasion of canaliculi was not observed in this group, suggesting reduced OLCN invasion. Important work by Reichmann et al. (2019) revealed that PBP3 interacts with RodA, a member of the shape, elongation, division, and sporulation (SEDS) protein family, to mediate side-wall peptidoglycan synthesis in S. aureus. Together, this SEDS-PBP cognate pair is responsible for normal S. aureus elongation through the cell cycle. The observed difference in OLCN invasion with pbp3 deletion suggests a possible role for S. aureus cell elongation during invasion of submicron-sized canaliculi and warrants continued studies.
Additionally, we aimed to elucidate the role of major peptidoglycan hydrolase, Atl, during S. aureus bone infection pathogenesis and OLCN invasion, given its opposite function to PBPs. In agreement with previous studies, atl deletion produced slightly larger cells with rough cell surfaces and increased cell aggregation (Wheeler et al., 2015). These factors may contribute to the observed attenuation of nanopore propagation in vitro. In vivo studies showed that atl deletion decreased abscess formation. Previous studies have shown that megacluster formation by atl deletion mutants may increase susceptibility to phagocytosis (Dalia and Weiser, 2011). Lack of phagocytosis events leads to decreased S. aureus dissemination through host tissues (Pollitt et al., 2018), which may hinder abscess formation in Δatl infections. While deletion of atl appeared to diminish nanopore propagation in vitro and modulate pathogenesis in vivo, atl expression was not necessary for invasion of the OLCN. Notably, S. aureus lacking expression of atl showed extensive invasion of the OLCN with extremely deformed bacterial cells measuring less than 0.5 μm in diameter and over 2.0 μm in length at the leading edge of invasion.
In order to maintain constant bacterial cell shape during growth and division, the of activity PBPs must be in balance with the activity of cell wall hydrolases to synthesize and degrade peptidoglycan during growth and division (Vermassen et al., 2019). Previous work has shown S. aureus lacking pbp4 expression has less cross-linked peptidoglycan and, in consequence, decreased cell wall stiffness (Loskill et al., 2014). Consistent with these findings, atl deletion results in increased peptidoglycan cross-linking and increased cell wall stiffness (Wheeler et al., 2015). Together, this work suggests that sufficient peptidoglycan cross-linking and cell wall rigidity are necessary for S. aureus invasion of bone canaliculi in vivo, where pbp4 deletion and decreased cross-linking eliminate OLCN invasion and atl deletion and increased cross-linking allows OLCN invasion with notably elongated cells.
In continuation, we hypothesized that the transmembrane protein MreC could be involved in S. aureus deformation from cocci to rod shape during OLCN invasion. In rod-shaped bacteria, actin homolog MreB polymerizes to form cytoskeletal filaments that localize with MreC and PBPs to coordinate peptidoglycan synthesis and cell wall elongation (Kruse et al., 2005; Carballido-López and Formstone, 2007). Although MreB is not present in coccoid cells, MreC has been conserved in S. aureus without a known function (Tavares et al., 2015). Our previous work showed that a mreC transposon insertion mutant trended toward decreased ability to propagate through nanopores (Masters et al., 2020). However, reevaluation of mreC deletion in this work with a monoculture μSiM-CA experiment showed no change in nanopore propagation, suggesting a possible false-positive identification of mreC in the previous study. Further confirming these results, the mreC deletion mutant showed extensive invasion of the OLCN in vivo, thereby concluding that mreC expression is not a critical factor for S. aureus deep bone invasion.
Lastly, surface adhesins, ClfA and SasC, were investigated as potential modulators of S. aureus haptotaxis in bone infection and OLCN invasion. ClfA was selected because it showed a modest decrease in μSiM-CA nanopore propagation in previous work and is important in bone infection pathogenesis in obese/type 2 diabetic mice (Farnsworth et al., 2017). Further, ClfA is an important virulence factor that has been the target of antibody-based S. aureus vaccine therapies, showing promising results in biofilm prevention in vitro and preventing disease progression in animal models of endocarditis and sepsis (Domanski et al., 2005; Tkaczyk et al., 2016). In addition, previous work identified SasC as a necessary gene for nanopore propagation in vitro (Masters et al., 2020). SasC is known to promote bacterial attachment, cell–cell aggregation, and biofilm formation (Schroeder et al., 2009; Zhu et al., 2020). We hypothesized that these surface proteins contribute to the initial S. aureus attachment and invasion of cortical bone during the establishment of osteomyelitis. Despite a suggested role of nanopore propagation in vitro, in vivo studies demonstrated that expression of clfA or sasC is not necessary for S. aureus invasion and colonization of the OLCN. While this finding does not support our initial hypothesis for the role of surface adhesins in OLCN invasion by haptotaxis, it is possible that the deletion of a single surface adhesin may not be sufficient for the observation of a significant phenotype in vivo. Given the variety of surface adhesins expressed by S. aureus (Foster and Höök, 1998; Foster et al., 2014), their functions are often redundant. Further, like most in vitro models, the μSiM-CA does not fully mimic the in vivo physiological properties of bone and specifically lacks ECM ligands for cell adherence. Therefore, the in vitro model may not accurately predict haptotaxis differences as expected in vivo.
Next, we measured pathogenic bone loss by quantifying osteolytic bone volume, relative osteoclast presence, and production of osteoclast-stimulating cytokine, RANKL. Chronic inflammation due to osteomyelitis can cause a sustained release of proinflammatory cytokines from innate and adaptive immune cells, resulting in osteoclast activation and pathogenic bone loss (Amarasekara et al., 2015). Generally, deletion of cell wall synthesis genes influenced pathogenic bone loss more so than the deletion of surface adhesins. Specifically, we showed that pbp4 and pbp3 deletion both modulate the volume of peri-implant bone loss and osteoclast activity within infected tibiae. Initially, we hypothesized that S. aureus bone invasion triggered osteocyte death and ensuing RANKL production resulting in osteoclast-mediated bone loss (Andreev et al., 2020). Contrary to our hypothesis, deletion of pbp4 showed no differences in RANKL production, despite the loss of OLCN invasion, while atl deletion significantly reduced RANKL production with no effect on OLCN invasion, suggesting that changes in bone osteolysis cannot be explained by RANKL production alone.
To further interrogate these dichotomous observations, we measured the production of proinflammatory cytokines, IL-1β and IL-6. Putnam et al. (2019) showed that local production of IL-1β and IL-6 is elevated at multiple time points throughout a 14-day infection in a murine model of posttraumatic S. aureus osteomyelitis. Further, IL-1β and IL-6 are known to accelerate osteoclastogenesis and bone resorption (Amarasekara et al., 2018). Interestingly, loss of PBP4 and PBP3 did not change IL-1β production, while decreased bone loss, abscess formation, and OLCN invasion were observed. In contrast, loss of surface adhesins, ClfA and SasC, demonstrated significantly decreased IL-1β production despite not influencing bone loss and OLCN invasion. ClfA is known to be an immunogenic protein capable of stimulating a robust antibody response (Nishitani et al., 2015); therefore, loss of ClfA may influence host recognition of the pathogen and decreased cytokine production. While the immunogenicity of SasC has not been tested, these data suggest this surface protein may also influence host–pathogen interactions.
Surprisingly, IL-6 was elevated in infections by clfA, sasC, and atl deletion mutants. IL-6 is often grouped with IL-1β and RANKL as a proinflammatory and osteoclast-activating cytokine (Steeve et al., 2004); however, it is a pleiotropic cytokine with a variety of functions in host responses (Kishimoto, 1989). In fact, IL-6 may act as an anti-inflammatory mediator during acute inflammation by suppressing production of other proinflammatory cytokines (Xing et al., 1998) and initiating neutrophilic resolution (Kaplanski et al., 2003; Gabay, 2006). Again, ClfA and Atl are known to be immunogenic in experimental and clinical sera (Gedbjerg et al., 2013; Nishitani et al., 2015; Kates et al., 2020) and exhibit immunomodulatory characteristics during infection. Our results may suggest an anti-inflammatory role of IL-6 in late-stage S. aureus bone infection, and its production may be controlled by host recognition of S. aureus surface proteins. Taken together, characterization of pathogenic bone loss reinforces the importance of cell wall synthesis machinery in osteomyelitis pathogenesis. However, our results show the host response to infection is heterogeneous and multifaceted. A major limitation of our cytokine analysis is that we only looked at one time point postinfection (day 14). As cytokine levels are known to be dynamically regulated over the course of infection, no conclusions on the functional significance of our single-time point studies can be made, and further in-depth studies are warranted to investigate these host responses during the entire course of S. aureus osteomyelitis.
To conclude, this study showed that cell wall synthesis machinery can modulate S. aureus pathogenesis in osteomyelitis. This is supported by significant changes in OLCN invasion, abscess formation, and pathogenic bone loss with loss of PBP4, PBP3, or Atl. We postulate that S. aureus cell wall composition and peptidoglycan homeostasis are key factors for submicron invasion of canaliculi. Further, S. aureus proteins responsible for adhesin to bone and/or ECM molecules are known to be redundant, and therefore, it is unlikely that the role of haptotaxis can be captured in single gene deletion studies.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Ethics Statement
The animal study was reviewed and approved by the University Committee on Animal Resources at the University of Rochester Medical Center.
Author Contributions
EM, GM, and ES conceived the study. EM performed all the experiments and wrote the manuscript. ALG assisted with creation of deletion mutants and experimentation. LH assisted with the experimentation. KDB and CG performed the electron microscopy. JM, HA, SG, and ES supervised the study. All authors contributed to the final version.
Conflict of Interest
JM is a founder of SiMPore, an early-stage company commercializing ultrathin silicon-based technologies. The remaining 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.
Footnotes
Funding. This study was also supported by grants from AO-Trauma, Clinical Priority Program (Davos, Switzerland), NIAMS P50 AR072000 and NIAMS P30 AR069655 awarded to ES.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2021.723498/full#supplementary-material
References
- Alder K. D., Lee I., Munger A. M., Kwon H. K., Morris M. T., Cahill S. V., et al. (2020). Intracellular Staphylococcus aureus in bone and joint infections: a mechanism of disease recurrence, inflammation, and bone and cartilage destruction. Bone 141:115568. 10.1016/j.bone.2020.115568 [DOI] [PubMed] [Google Scholar]
- Amarasekara D. S., Yu J., Rho J. (2015). Bone loss triggered by the cytokine network in inflammatory autoimmune diseases. J. Immunol. Res. 2015:832127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Amarasekara D. S., Yun H., Kim S., Lee N., Kim H., Rho J. (2018). Regulation of osteoclast differentiation by cytokine networks. Immune Netw. 18:e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andreev D., Liu M., Weidner D., Kachler K., Faas M., Grüneboom A., et al. (2020). Osteocyte necrosis triggers osteoclast-mediated bone loss through macrophage-inducible C-type lectin. J. Clin. Investig. 130 4811–4830. 10.1172/jci134214 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arciola C. R., An Y. H., Campoccia D., Donati M. E., Montanaro L. (2005). Etiology of implant orthopedic infections: a survey on 1027 clinical isolates. Int. J. Artific. Organs 28 1091–1100. 10.1177/039139880502801106 [DOI] [PubMed] [Google Scholar]
- Bose J. L., Lehman M. K., Fey P. D., Bayles K. W. (2012). Contribution of the Staphylococcus aureus Atl AM and GL murein hydrolase activities in cell division, autolysis, and biofilm formation. PLoS One 7:e42244. 10.1371/journal.pone.0042244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Canfield G. S., Schwingel J. M., Foley M. H., Vore K. L., Boonanantanasarn K., Gill A. L., et al. (2013). Evolution in fast forward: a potential role for mutators in accelerating Staphylococcus aureus pathoadaptation. J. Bacteriol. 195 615–628. 10.1128/jb.00733-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carballido-López R., Formstone A. (2007). Shape determination in Bacillus subtilis. Curr. Opin. Microbiol. 10 611–616. 10.1016/j.mib.2007.09.008 [DOI] [PubMed] [Google Scholar]
- Cheng A. G., DeDent A. C., Schneewind O., Missiakas D. (2011). A play in four acts: Staphylococcus aureus abscess formation. Trends Microbiol. 19 225–232. 10.1016/j.tim.2011.01.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clarke S. R., Foster S. J. (2006). Surface adhesins of Staphylococcus aureus. Adv. Microb. Physiol. 51 187–224. 10.1016/s0065-2911(06)51004-5 [DOI] [PubMed] [Google Scholar]
- Dalia A. B., Weiser J. N. (2011). Minimization of bacterial size allows for complement evasion and is overcome by the agglutinating effect of antibody. Cell Host Microbe 10 486–496. 10.1016/j.chom.2011.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Mesy Bentley K. L., MacDonald A., Schwarz E. M., Oh I. (2018). Chronic osteomyelitis with Staphylococcus aureus deformation in submicron canaliculi of Osteocytes: a case report. JBJS Case Connect. 8 e8. 10.2106/jbjs.cc.17.00154 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Mesy Bentley K. L., Trombetta R., Nishitani K., Bello-Irizarry S. N., Ninomiya M., Zhang L., et al. (2017). Evidence of Staphylococcus aureus deformation, proliferation, and migration in canaliculi of live cortical bone in murine models of osteomyelitis. J. Bone Miner. Res. 32 985–990. 10.1002/jbmr.3055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Mesy Jensen K. L., di Sant’Agnese P. A. (1992). Large block embedding and “pop-off” technique for immunoelectron microscopy. Ultrastruct. Pathol. 16 51–59. 10.3109/01913129209074550 [DOI] [PubMed] [Google Scholar]
- Divakaruni A. V., Baida C., White C. L., Gober J. W. (2007). The cell shape proteins MreB and MreC control cell morphogenesis by positioning cell wall synthetic complexes. Mol. Microbiol. 66 174–188. 10.1111/j.1365-2958.2007.05910.x [DOI] [PubMed] [Google Scholar]
- Domanski P. J., Patel P. R., Bayer A. S., Zhang L., Hall A. E., Syribeys P. J., et al. (2005). Characterization of a humanized monoclonal antibody recognizing clumping factor A expressed by Staphylococcus aureus. Infect. Immun. 73 5229–5232. 10.1128/iai.73.8.5229-5232.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Farnsworth C. W., Schott E. M., Jensen S. E., Zukoski J., Benvie A. M., Refaai M. A., et al. (2017). Adaptive upregulation of clumping factor A (ClfA) by S. aureus in the obese, type 2 diabetic host mediates increased virulence. Infect. Immun. 85:e001005-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Foster T. J., Geoghegan J. A., Ganesh V. K., Höök M. (2014). Adhesion, invasion and evasion: the many functions of the surface proteins of Staphylococcus aureus. Nat. Rev. Microbiol. 12 49–62. 10.1038/nrmicro3161 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Foster T. J., Höök M. (1998). Surface protein adhesins of Staphylococcus aureus. Trends Microbiol. 6 484–488. 10.1016/s0966-842x(98)01400-0 [DOI] [PubMed] [Google Scholar]
- Gabay C. (2006). Interleukin-6 and chronic inflammation. Arthr. Res. Ther. 8 Suppl. 2(Suppl. 2):S3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gedbjerg N., LaRosa R., Hunter J. G., Varrone J. J., Kates S. L., Schwarz E. M., et al. (2013). Anti-glucosaminidase IgG in sera as a biomarker of host immunity against Staphylococcus aureus in orthopaedic surgery patients. J. Bone Joint Surg. Am. 95:e171. 10.2106/jbjs.l.01654 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hirschhausen N., Schlesier T., Peters G., Heilmann C. (2012). Characterization of the modular design of the autolysin/adhesin Aaa from Staphylococcus aureus. PLoS One 7:e40353. 10.1371/journal.pone.0040353 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hsu S., Thakar R., Liepmann D., Li S. (2005). Effects of shear stress on endothelial cell haptotaxis on micropatterned surfaces. Biochem. Biophys. Res. Commun. 337 401–409. 10.1016/j.bbrc.2005.08.272 [DOI] [PubMed] [Google Scholar]
- Kaplanski G., Marin V., Montero-Julian F., Farnarier C. (2003). IL-6: a regulator of the transition from neutrophil to monocyte recruitment during inflammation. Trends Immunol. 24 25–29. 10.1016/s1471-4906(02)00013-3 [DOI] [PubMed] [Google Scholar]
- Kates S. L., Owen J. R., Beck C. A., Xie C., Muthukrishnan G., Daiss J. L., et al. (2020). Lack of humoral immunity against glucosaminidase is associated with postoperative complications in Staphylococcus aureus osteomyelitis. J. Bone Joint Surg. Am. 102 1842–1848. 10.2106/jbjs.20.00029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kishimoto T. (1989). The biology of interleukin-6. Blood 74 1–10. [PubMed] [Google Scholar]
- Kluytmans J., Van Belkum A., Verbrugh H. (1997). Nasal carriage of Staphylococcus aureus: epidemiology, underlying mechanisms, and associated risks. Clin. Microbiol. Rev. 10 505–520. 10.1128/cmr.10.3.505 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kruse T., Bork-Jensen J., Gerdes K. (2005). The morphogenetic MreBCD proteins of Escherichia coli form an essential membrane-bound complex. Mol. Microbiol. 55 78–89. 10.1111/j.1365-2958.2004.04367.x [DOI] [PubMed] [Google Scholar]
- Kylväjä R., Ojalehto T., Kainulainen V., Virkola R., Westerlund-Wikström B. (2016). Penicillin binding protein 3 of Staphylococcus aureus NCTC 8325-4 binds and activates human plasminogen. BMC Res. Notes 9:389. 10.1186/s13104-016-2190-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li D., Gromov K., Søballe K., Puzas J. E., O’Keefe R. J., Awad H., et al. (2008). Quantitative mouse model of implant-associated osteomyelitis and the kinetics of microbial growth, osteolysis, and humoral immunity. J. Orthop. Res. 26 96–105. 10.1002/jor.20452 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Loskill P., Pereira P. M., Jung P., Bischoff M., Herrmann M., Pinho M. G., et al. (2014). Reduction of the peptidoglycan crosslinking causes a decrease in stiffness of the Staphylococcus aureus cell envelope. Biophys. J. 107 1082–1089. 10.1016/j.bpj.2014.07.029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lowy F. D. (1998). Staphylococcus aureus infections. N. Engl. J. Med. 339 520–532. [DOI] [PubMed] [Google Scholar]
- Masters E. A., de Mesy Bentley K. L., Gill A. L., Hao S. P., Galloway C. A., Salminen A. T., et al. (2020). Identification of penicillin binding protein 4 (PBP4) as a critical factor for Staphylococcus aureus bone invasion during osteomyelitis in mice. PLoS Pathog. 16:e1008988. 10.1371/journal.ppat.1008988 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masters E. A., Hao S. P., Kenney H. M., Morita Y., Galloway C. A., de Mesy Bentley K. L., et al. (2021). Distinct vasculotropic versus osteotropic features of S. agalactiae versus S. aureus implant-associated bone infection in mice. J. Orthop. Res. 39 389–401. 10.1002/jor.24962 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masters E. A., Salminen A. T., Begolo S., Luke E. N., Barrett S. C., Overby C. T., et al. (2019a). An in vitro platform for elucidating the molecular genetics of S. aureus invasion of the osteocyte lacuno-canalicular network during chronic osteomyelitis. Nanomedicine 21:102039. 10.1016/j.nano.2019.102039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masters E. A., Trombetta R. P., de Mesy Bentley K. L., Boyce B. F., Gill A. L., Gill S. R., et al. (2019b). Evolving concepts in bone infection: redefining “biofilm”,“acute vs. chronic osteomyelitis”,“the immune proteome” and “local antibiotic therapy”. Bone Res. 7:20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McDevitt D., Francois P., Vaudaux P., Foster T. J. (1994). Molecular characterization of the clumping factor (fibrinogen receptor) of Staphylococcus aureus. Mol. Microbiol. 11 237–248. 10.1111/j.1365-2958.1994.tb00304.x [DOI] [PubMed] [Google Scholar]
- Muthukrishnan G., Masters E. A., Daiss J. L., Schwarz E. M. (2019). Mechanisms of immune evasion and bone tissue colonization that make Staphylococcus aureus the primary pathogen in osteomyelitis. Curr. Osteopor. Rep. 17 395–404. 10.1007/s11914-019-00548-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Navratna V., Nadig S., Sood V., Prasad K., Arakere G., Gopal B. (2010). Molecular basis for the role of Staphylococcus aureus penicillin binding protein 4 in antimicrobial resistance. J. Bacteriol. 192 134–144. 10.1128/jb.00822-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nega M., Tribelli P. M., Hipp K., Stahl M., Götz F. (2020). New insights in the coordinated amidase and glucosaminidase activity of the major autolysin (Atl) in Staphylococcus aureus. Commun. Biol. 3:695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nishitani K., Beck C. A., Rosenberg A. F., Kates S. L., Schwarz E. M., Daiss J. L. (2015). A diagnostic serum antibody test for patients with Staphylococcus aureus osteomyelitis. Clin. Orthop. Relat. Res. 473 2735–2749. 10.1007/s11999-015-4354-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oudin M. J., Jonas O., Kosciuk T., Broye L. C., Guido B. C., Wyckoff J., et al. (2016). Tumor cell–driven extracellular matrix remodeling drives haptotaxis during metastatic progression. Cancer Discov. 6 516–531. 10.1158/2159-8290.cd-15-1183 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parvizi J., Ghanem E., Azzam K., Jaberi F., Hozack W. (2008). Periprosthetic infection: are current treatment strategies adequate? Acta Orthop. Belgica 74:793. [PubMed] [Google Scholar]
- Pinho M. G., de Lencastre H., Tomasz A. (2000). Cloning, characterization, and inactivation of the gene pbpC, encoding penicillin-binding protein 3 of Staphylococcus aureus. J. Bacteriol. 182 1074–1079. 10.1128/jb.182.4.1074-1079.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pollitt E. J., Szkuta P. T., Burns N., Foster S. J. (2018). Staphylococcus aureus infection dynamics. PLoS Pathog. 14:e1007112. 10.1371/journal.ppat.1007112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pulido L., Ghanem E., Joshi A., Purtill J. J., Parvizi J. (2008). Periprosthetic joint infection: the incidence, timing, and predisposing factors. Clin. Orthop. Relat. Res. 466 1710–1715. 10.1007/s11999-008-0209-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Putnam N. E., Fulbright L. E., Curry J. M., Ford C. A., Petronglo J. R., Hendrix A. S., et al. (2019). MyD88 and IL-1R signaling drive antibacterial immunity and osteoclast-driven bone loss during Staphylococcus aureus osteomyelitis. PLoS Pathog. 15:e1007744. 10.1371/journal.ppat.1007744 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reichmann N. T., Tavares A. C., Saraiva B. M., Jousselin A., Reed P., Pereira A. R., et al. (2019). SEDS–bPBP pairs direct lateral and septal peptidoglycan synthesis in Staphylococcus aureus. Nat. Microbiol. 4 1368–1377. 10.1038/s41564-019-0437-2 [DOI] [PubMed] [Google Scholar]
- Sauvage E., Kerff F., Terrak M., Ayala J. A., Charlier P. (2008). The penicillin-binding proteins: structure and role in peptidoglycan biosynthesis. FEMS Microbiol. Rev. 32 234–258. 10.1111/j.1574-6976.2008.00105.x [DOI] [PubMed] [Google Scholar]
- Scheffers D.-J., Pinho M. G. (2005). Bacterial cell wall synthesis: new insights from localization studies. Microbiol. Mol. Biol. Rev. 69 585–607. 10.1128/mmbr.69.4.585-607.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat. Methods 9 676–682. 10.1038/nmeth.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schlesier T., Siegmund A., Rescher U., Heilmann C. (2020). Characterization of the Atl-mediated staphylococcal internalization mechanism. Int. J. Med. Microbiol. 310:151463. 10.1016/j.ijmm.2020.151463 [DOI] [PubMed] [Google Scholar]
- Schroeder K., Jularic M., Horsburgh S. M., Hirschhausen N., Neumann C., Bertling A., et al. (2009). Molecular characterization of a novel Staphylococcus aureus surface protein (SasC) involved in cell aggregation and biofilm accumulation. PLoS One 4:e7567. 10.1371/journal.pone.0007567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Steeve K. T., Padrines M., Théoleyre S., Heymann D., Fortun Y. (2004). IL-6, RANKL, TNF-alpha/IL-1: interrelations in bone resorption pathophysiology. Cytok. Growth Fact. Rev. 15 49–60. 10.1016/j.cytogfr.2003.10.005 [DOI] [PubMed] [Google Scholar]
- Sunyer R., Conte V., Escribano J., Elosegui-Artola A., Labernadie A., Valon L., et al. (2016). Collective cell durotaxis emerges from long-range intercellular force transmission. Science 353 1157–1161. 10.1126/science.aaf7119 [DOI] [PubMed] [Google Scholar]
- Sunyer R., Trepat X. (2020). Durotaxis. Curr. Biol. 30 R383–R387. [DOI] [PubMed] [Google Scholar]
- Tavares A. C., Fernandes P. B., Carballido-López R., Pinho M. G. (2015). MreC and MreD proteins are not required for growth of Staphylococcus aureus. PLoS One 10:e0140523. 10.1371/journal.pone.0140523 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tkaczyk C., Hamilton M. M., Sadowska A., Shi Y., Chang C. S., Chowdhury P., et al. (2016). Targeting alpha toxin and ClfA with a multimechanistic monoclonal-antibody-based approach for prophylaxis of serious Staphylococcus aureus disease. mBio 7:e00528-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tomizawa T., Ishikawa M., Bello-Irizarry S. N., de Mesy Bentley K. L., Ito H., Kates S. L., et al. (2020). Biofilm producing Staphylococcus epidermidis (RP62A strain) inhibits osseous integration without osteolysis and histopathology in a murine septic implant model. J. Orthop. Res. 38 852–860. 10.1002/jor.24512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Varrone J. J., de Mesy Bentley K. L., Bello-Irizarry S. N., Nishitani K., Mack S., Hunter J. G., et al. (2014). Passive immunization with anti-glucosaminidase monoclonal antibodies protects mice from implant-associated osteomyelitis by mediating opsonophagocytosis of Staphylococcus aureus megaclusters. J. Orthop. Res. 32 1389–1396. 10.1002/jor.22672 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Varrone J. J., Li D., Daiss J. L., Schwarz E. M. (2011). Anti-glucosaminidase monoclonal antibodies as a passive immunization for methicillin-resistant Staphylococcus aureus (MRSA) orthopaedic infections. Bonekey Osteovision 8 187–194. 10.1138/20110506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vermassen A., Leroy S., Talon R., Provot C., Popowska M., Desvaux M. (2019). Cell wall hydrolases in bacteria: insight on the diversity of cell wall amidases, glycosidases and peptidases toward peptidoglycan. Front. Microbiol. 10:331. 10.3389/fmicb.2019.00331 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vollmer W., Joris B., Charlier P., Foster S. (2008). Bacterial peptidoglycan (murein) hydrolases. FEMS Microbiol. Rev. 32 259–286. 10.1111/j.1574-6976.2007.00099.x [DOI] [PubMed] [Google Scholar]
- Wheeler R., Turner R. D., Bailey R. G., Salamaga B., Mesnage S., Mesnage S., et al. (2015). Bacterial cell enlargement requires control of cell wall stiffness mediated by peptidoglycan hydrolases. mBio 6:e00660-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wyke A. W., Ward J. B., Hayes M. V., Curtis N. A. (1981). A role in vivo for penicillin-binding protein-4 of Staphylococcus aureus. Eur. J. Biochem. 119 389–393. 10.1111/j.1432-1033.1981.tb05620.x [DOI] [PubMed] [Google Scholar]
- Xing Z., Gauldie J., Cox G., Baumann H., Jordana M., Lei X. F., et al. (1998). IL-6 is an antiinflammatory cytokine required for controlling local or systemic acute inflammatory responses. J. Clin. Investig. 101 311–320. 10.1172/jci1368 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yoshida H., Kawai F., Obayashi E., Akashi S., Roper D. I., Tame J. R., et al. (2012). Crystal structures of penicillin-binding protein 3 (PBP3) from methicillin-resistant Staphylococcus aureus in the apo and cefotaxime-bound forms. J. Mol. Biol. 423 351–364. 10.1016/j.jmb.2012.07.012 [DOI] [PubMed] [Google Scholar]
- Zhu Q., Liu B., Sun B. (2020). SpoVG modulates cell aggregation in Staphylococcus aureus by regulating sasC expression and extracellular DNA release. Appl. Environ. Microbiol. 86:e00591-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zoller S. D., Hegde V., Burke Z. D. C., Park H. Y., Ishmael C. R., Blumstein G. W., et al. (2020). Evading the host response: Staphylococcus “hiding” in cortical bone canalicular system causes increased bacterial burden. Bone Res. 8:43. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.