Bacterial Adhesion and Biofilm Formation on Textured Breast Implant Shell Materials
Bacterial biofilms have been implicated with breast implant complications including capsular contracture and anaplastic large-cell lymphoma. The actual mechanisms for either are still under active investigation and are not clear. Due to their increased surface area, implants with textured surfaces may harbor greater biofilm loads than those with smooth surfaces.
Biofilm formation on the outer surface material was compared using implants with various surface areas and roughness, including Natrelle® (Smooth), SmoothSilk®/SilkSurface® (Silk), VelvetSurface ® (Velvet), Siltex®, and Biocell®. The roughness and surface area of each material were assessed using non-contact profilometry. Bacterial attachment (2 h) and biofilm formation (24 h) were evaluated for Staphylococcus epidermidis, Pseudomonas aeruginosa, and Ralstonia pickettii over nine independent experiments using a CDC biofilm reactor and viable plate counts (VPCs) as well as confocal scanning laser microscopy. VPCs of the textured implants were compared relative to the Smooth implant.
Surface areas increased with roughness and were similar among the three least rough implants (Smooth, Silk, and Velvet) and among the roughest implants (Siltex and Biocell). Overall, VPC indicated there was significantly more bacterial attachment and biofilm formation on the Siltex and Biocell implants than the Silk or Velvet implants, although there were differences between species and time points. CSLM confirmed the formation of thicker biofilms on the implants with rougher surface textures.
This in vitro study confirmed that implant surfaces with rougher texture, resulting in more surface area, harbored greater biofilm loads than those with smoother surfaces.
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KeywordsBacteria Attachment Biofilm Breast implant Silicone Texture Contracture ALCL
Bacterial biofilms have been implicated with breast implant complications including capsular contracture [1, 2, 3, 4], double-capsule formation , and breast implant-associated anaplastic large-cell lymphoma (BI-ALCL) . The reduction of capsular contracture and ALCL using steps to reduce the introduction of bacteria during surgery provided indirect evidence of the role of bacteria in these conditions . Due to their increased surface area, implants with highly textured surfaces may harbor greater biofilm loads than those with smooth surfaces.
Gram-positive bacteria such as Staphylococcus epidermidis and other coagulase-negative staphylococci, along with Cutibacterium (formerly Propionibacterium), are the most commonly isolated bacteria from capsular contracture [1, 2, 3, 4]. In a recent study of BI-ALCL, Gram-negative bacteria including pseudomonads and the genus Ralstonia in particular were the most commonly detected .
In this study, bacterial attachment and biofilm formation on the outer surface material of breast implants by S. epidermidis, Pseudomonas aeruginosa, and Ralstonia pickettii were compared using implants with various surface areas and roughness. The implants included Natrelle® (Smooth), SmoothSilk®/SilkSurface® (Silk), VelvetSurface ® (Velvet), Siltex®, and Biocell®. No Mentor or Motiva smooth implant surfaces were tested, as the surface on scanning electron microscopy showed no gross differences than Natrelle® (Smooth) on direct observation. The textured implants in each experiment were compared after normalizing bacterial responses to the smooth implant response in the same experiment. Overall, the results indicated that rougher textures (Siltex and Biocell) with more surface area had more bacterial attachment and biofilm formation than those with smoother textures and less surface area (Silk and Velvet). Interestingly, there were differences between species and time points. For P. aeruginosa, there were significant differences between textures for bacterial attachment but not for biofilm formation. In contrast, S. epidermidis and R. pickettii had more significant differences in biofilm formation than bacterial attachment between textures.
Materials and Methods
Breast implant types included in this study
Surface area and roughness were measured over an area of 4.8 mm2 ± 0.2 mm2 with two replicates of the apex, base, and equator of each implant type using a non-contact profilometer, µSurf Mobile, in accordance with ISO 25178-2:2012 Surface texture: Areal-Terms, definitions, and surface texture parameters. The profilometry testing for the Siltex and Biocell textures was completed using a 20× imaging lens. The testing for the Silk, Velvet, and Smooth surfaces was completed using a 50× imaging lens. All parameters were calculated using µSoft Analysis extended software package version 7.3.7835.
Three tests were performed using each of Staphylococcus epidermidis ATCC 35984, Pseudomonas aeruginosa ATCC 9027, and Ralstonia pickettii ATCC 27511 for a total of nine independent tests. These strains are maintained at − 70 °C as frozen stock cultures. Overnight cultures were prepared in Tryptic Soy Broth (TSB), one day prior to each experimental run.
Biofilm Test System
Bacterial attachment and biofilm formation were assessed using a CDC Biofilm Reactor (CDC-BR, model CBR 90, Biosurface Technologies Corporation, Bozeman, MT) developed by the Centers for Disease Control and used to study biofilms formed by various bacterial species. A protocol using this reactor has been approved by ASTM as a standard method for growing repeatable P. aeruginosa biofilms on polycarbonate surfaces (Designation E 2562-17). The testing described herein used a modified protocol to enable the evaluation of bacterial attachment and biofilm formation on breast implant outer shell samples. The CDC-BR consists of a 1-l vessel with eight polypropylene coupon holders. Each coupon holder or rod can accommodate three 1.27-cm-diameter sample coupons, suspended from the lid. Liquid growth medium enters through the top of the vessel and exits via a side-arm discharge port. A magnetic stir bar incorporating a mixing blade provides fluid mixing and surface shear.
The disk/coupon assemblies were inserted into CDC-BR sample rods, and these were inserted into a CDC-BR lid. The disk/coupon/rod assemblies were soaked for 10 min with agitation in an enzymatic detergent, then rinsed six times with 1 l of deionized water each, and then autoclaved at 20 lb per square inch of pressure and a temperature of 123 °C for 35 min. Prior to use, the samples were conditioned by incubating them for 30 min at 37 °C in sterile de-complemented human serum diluted 1–10 in phosphate-buffered saline (PBS). After incubation, the samples were rinsed with sterile saline.
A CDC-BR (without coupon holders) containing approximately 400 ml of growth medium (10%-strength brain–heart infusion broth with 0.5% adult bovine serum) was inoculated with an overnight culture of the test species to provide an initial bacterial density of approximately 106 colony-forming units per milliliter (CFU/ml), and the CDC-BR lid assembly, with the conditioned samples, was inserted. The CDC-BR was then operated with continuous flow (2.7 ml/min) and stirring (125 rpm) at 37 °C.
Bacterial attachment was assessed after 2 h of incubation. This time period was too short for significant biofilm growth to occur on the surfaces. Four sample rods were removed from the CDC-BR and rinsed to remove planktonic and loosely adhered bacteria by dipping the coupon holder into two consecutive beakers containing sterile phosphate-buffered saline (PBS). The removed sample rods were replaced with “dummy” sample rods that did not contain samples. Biofilm formation was assessed after 24 h of incubation. Disk/coupon assemblies were collected as described above for the bacterial attachment assessment.
In each of the three repeat experiments for each microbial species, two samples of each material type were analyzed by plate count and 3–4 samples of selected material types were analyzed by confocal scanning laser microscopy (CSLM). The 3–4 material types for CSLM were selected so that all material types at each time point were analyzed over the course of the three experiments. Samples of the CDC-BR bulk fluid were also collected at the bacterial attachment (2 h) and biofilm formation (24 h) time points.
Plate Count Analysis
Breast implant material samples (1.0-cm disks) were removed from the polycarbonate coupons with a sterile blade and placed in vials containing 10 ml of sterile PBS. Bulk fluid samples (1 ml) were placed in vials containing 9 ml of sterile PBS. The biofilms were removed and dispersed by 30 s of vortexing, 2 min of sonication, followed by an additional 30 s of vortexing. Serial tenfold dilutions of the resulting bacterial suspension were prepared using sterile PBS, and the dilutions were plated on Tryptic Soy Agar. The plates were then incubated for 24–48 h at 37 °C. After incubation, the colonies on the plates were counted and the number of colony-forming units (CFU) for each disk was calculated.
The CFUs for each disk were log10-transformed. Log differences were calculated for each textured material relative to the untextured (smooth) material in each experiment. Statistical analysis was performed on the log10(CFU/disk) values. A mixed-effects analysis of variance (ANOVA) was fit to the log differences for each time point (2 or 24 h) separately using Minitab® 18 software. The ANOVA included experiment as the random effect; and species, implant type and the two-way interaction as fixed effects. Because interaction plots and tests suggested an interaction between species and implant type, the log differences for each species and time point were analyzed separately to investigate the interaction. Pair-wise comparisons were conducted using Tukey’s multiple comparison procedure.
Surface Area Adjustment
These CFU/cm2 data were log10-transformed, then normalized and analyzed as described above.
Confocal Scanning Laser Microscopy
Implant samples were stained with the nucleic acid stain SYBR Green® (Life Technologies) to image bacteria and examined using a Leica SP5 confocal scanning laser microscope. Image processing was done using Imaris™ software.
Bacterial Attachment and Biofilm Growth
Figure 2 suggests that there were interactions between species and implant type, although Silk and Velvet always had less biofilm than Siltex or Biocell. Pair-wise comparisons of the four textures revealed differences between species and time points for each species. For S. epidermidis at 2 h, there was a statistically significant difference between Silk and Siltex (p = 0.028). At 24 h, Silk and Velvet had significantly less biofilm than Siltex (p = 0.005) and Biocell (p = 0.002). For P. aeruginosa at 2 h, the Silk texture had significantly less biofilm than Velvet (p = 0.030), Siltex (p < 0.001), and Biocell (p < 0.001), while the Velvet texture had significantly less biofilm than the Siltex (p = 0.010) and Biocell (p = 0.004) textures. There were no statistically significant differences between any of the textures for P. aeruginosa at 24 h (p > 0.05). For R. pickettii at 2 h, there were also no significant differences between any of the textures. However, at 24 h for R. pickettii, the Silk and Velvet textures had significantly less biofilm than Siltex (p < 0.001) and Biocell (p < 0.001) textures. The Siltex texture also had significantly less biofilm than the Biocell texture (p = 0.047). Thus, P. aeruginosa showed significance differences between textures for bacterial attachment (2 h) but not for biofilm formation (24 h). In contrast, there were no significant differences for attachment of R. pickettii, but there were significant differences between textures for biofilm formation. S. epidermidis was similar to R. pickettii, with only one significant difference for attachment (Silk vs. Siltex) and many significant differences between textures for biofilm formation.
The data were also analyzed after adjustment for the differences in surface area of the textures (Fig. 1). There were no statistically significant differences between the textures for all species and time points except for P. aeruginosa at 2 h and R. pickettii at 2 and 24 h. For P. aeruginosa at 2 h, the Silk texture had significantly less biofilm than the Velvet (p = 0.024) and Biocell textures (p = 0.035). For R. pickettii at 2 h, Biocell had significantly less biofilm than Silk (p = 0.008) and Velvet (p = 0.016), and Silk had significantly less biofilm than Siltex (p = 0.044). The differences from smooth for R. pickettii at 2 h were similar for all of the textures, so when adjusted for surface area the higher surface area textures (Siltex and Biocell) were reduced more than the textures with less surface area. For R. pickettii at 24 h, Silk and Velvet had significantly less biofilm than Biocell (p = 0.006).
Confocal Scanning Laser Microscopy
Overall, there was more bacterial attachment and biofilm formation on the Biocell and Siltex textures than on the Silk and Velvet textures. This is related to the surface area of the implant materials. As shown in Fig. 1, the rougher Biocell and Siltex textures have more surface area. Thus, for the same size sample, these textures accumulate more biofilm than a smoother texture. When the viable plate count data were adjusted for surface area (CFU/cm2 rather than CFU/disk), there were no significant differences between the textures when data were pooled for all species and time points.
Although there was a clear correlation between biofilm accumulation and surface area in this study, other surface roughness parameters, such as skewedness and kurtosis, may also impact biofilm accumulation. In statistics, skewedness refers to the asymmetry of the probability distribution of a variable around the mean. For surface roughness, skewedness describes the peak heights and valley depths above or below the surface plane. Positive skewedness indicates more peaks than valleys on the surface compared to the mean height, while negative skewedness means fewer peaks than valleys. In statistics, kurtosis is a measure of the broadness of the tails in a probability distribution, or how wide or sharp is the peak and is often compared to the normal distribution. For surface roughness, it is a measure of the wideness or sharpness of the peaks. Overall, these parameters describe the regularity of the surface texture. More simply, we can view the surface texture as regular or not. In animal studies performed by our group (unpublished data), there is lower tissue integration with high kurtosis (high uniformity of the surface) and higher tissue integration with low kurtosis (lower uniformity of the surface). This may correlate with low bacterial adhesion in high kurtosis and higher bacterial adhesion in low kurtosis.
The etiologies of both CC and BI-ALCL are likely multifactorial. Indeed, textured implants have been shown to have lower rates of CC than smooth implants for submuscular placement [9, 10], even though they would be expected to harbor more biofilm. In the case of BI-ALCL, chronic inflammation has been suggested as a mechanism for disease development. In addition to biofilms [6, 8], this chronic inflammation could be the result of the toxicity of silicone or silicone breakdown products  as well as the direct effects of implant surface characteristics such as hydrophobicity and texture . Certainly patient-specific factors, such as JAK1 and STAT3 mutations in BI-ALCL , likely also play a role.
Despite the overall trends, there were differences between species. For S. epidermidis at 2 h, the only statistically significant difference was between the Silk and Siltex textures, while at 24 h there were significant differences between the Silk and Velvet textures and the Biocell and Siltex textures. A previous in vitro study also compared S. epidermidis biofilm formation on smooth and textured breast implants at various time points, although the type of texture was not specified . The log differences in that study (approximately 1 log at 2 h and 2 logs at 24 h) were slightly higher at two hours and much higher at 24 h than the current study. This was likely due to the different biofilm growth conditions used. CSLM results from that study were similar to the current study, with thick biofilms forming on the textured implant and relatively thin biofilms developing on the smooth implant. In the current study, similar results to S. aureus were seen for R. pickettii, where there were no statistically significant differences at 2 h and differences between the textures at 24 h. In contrast, for P. aeruginosa there were statistically significant differences between the textures at 2 h but not at 24 h. These results demonstrate that multiple species and time points should be used to assess biofilm formation on biomaterials to avoid misleading results.
Although this in vitro study demonstrated more biofilm accumulation on the rougher textures, in vivo conditions are more complex. In particular, the immune response to the implant and associated bacteria/biofilm likely plays an important role. For example, recent in vitro studies have shown that highly textured implant surfaces induce higher levels of proinflammatory gene expression and cytokine production by macrophages and monocytes than smoother surfaces [12, 15]. In vitro systems including both biofilm and leukocytes, along with in vivo investigations, may help to elucidate the complex interactions between bacteria and the immune response on implant surfaces.
Overall, the results of this study indicate that rougher breast implant textures with greater surface areas (Siltex and Biocell) accumulate more biofilm than smoother textures with less surface area (Silk and Velvet). However, there were differences between species and time points, with P. aeruginosa attaching more to the textures with greater surface area but not developing more biofilm on these textures, whereas S. epidermidis and R. pickettii displayed more difference between textures for biofilm formation.
Compliance with Ethical Standards
Conflict of interest
Garth A. James, Laura Boegli, and Albert Parker performed this project under a Testing Services Agreement with the University. This covered salary, benefits, laboratory supplies, and facilities and administrative fees. In the past, these authors have performed similar testing services for Allergan, Inc. John Hancock received a consulting fee from Establishment Labs for technology support services including his collaboration with the research project. This author serves as a paid, outside technology consultant for Establishment Labs and is eligible for a stock grant, as part of the Consulting Agreement with Establishment Labs. Establishment Labs provides reimbursement for travel and accommodations directly related to the consulting work for the company. Lisa Bowersock performed this project under a Testing Services Agreement with the University. This covered salary, benefits, laboratory supplies, and facilities and administrative fees. Establishment Laboratories S.A. provided the implant shells. Brian M. Kinney has been paid for consulting fees and travel for activities not related specifically to this study, but related to being on the Scientific Advisory Board of the company. Brian M. Kinney is eligible to be awarded shares in the company for activities not related specifically to this study, but related to being on the Scientific Advisory Board of the company.
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