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PLOS ONE logoLink to PLOS ONE
. 2015 Nov 25;10(11):e0141436. doi: 10.1371/journal.pone.0141436

Polymorphisms in Fibronectin Binding Proteins A and B among Staphylococcus aureus Bloodstream Isolates Are Not Associated with Arthroplasty Infection

Emily M Eichenberger 1,#, Joshua T Thaden 1,#, Batu Sharma-Kuinkel 1, Lawrence P Park 1,2, Thomas H Rude 1, Felicia Ruffin 1, Nina J Hos 3, Harald Seifert 3,4, Siegbert Rieg 5, Winfried V Kern 5, Steven K Lower 6, Vance G Fowler Jr 1,*, Achim J Kaasch 3
Editor: Holger Rohde7
PMCID: PMC4659655  PMID: 26606522

Abstract

Background

Nonsynonymous single nucleotide polymorphisms (SNPs) in fibronectin binding protein A (fnbA) of Staphylococcus aureus are associated with cardiac device infections. However, the role of fnbA SNPs in S. aureus arthroplasty infection is unknown.

Methods

Bloodstream S. aureus isolates from a derivation cohort of patients at a single U.S. medical center with S. aureus bacteremia (SAB) and prosthetic hip or knee arthroplasties that were infected (PJI, n = 27) or uninfected (PJU, n = 43) underwent sequencing of fnbA and fnbB. A validation cohort of S. aureus bloodstream PJI (n = 12) and PJU (n = 58) isolates from Germany also underwent fnbA and fnbB sequencing.

Results

Overall, none of the individual fnbA or fnbB SNPs were significantly associated with the PJI or PJU clinical groups within the derivation cohort. Similarly, none of the individual fnbA or fnbB SNPs were associated with PJI or PJU when the analysis was restricted to patients with either early SAB (i.e., bacteremia occurring <1 year after placement or manipulation of prostheses) or late SAB (i.e., bacteremia >1 year after placement or manipulation of prostheses).

Conclusions

In contrast to cardiac device infections, there is no association between nonsynonymous SNPs in fnbA or fnbB of bloodstream S. aureus isolates and arthroplasty infection. These results suggest that initial steps leading to S. aureus infection of cardiovascular and orthopedic prostheses may arise by distinct processes.

Introduction

Staphylococcus aureus is a leading cause of prosthetic joint infection (PJI) [1,2]. A hallmark of S. aureus PJI is the biofilm, a sessile community of bacteria fixed in an extracellular matrix of DNA, proteins and polysaccharides. Biofilms promote device-associated infection and are highly resistant to host defenses and antimicrobials [3]. Integral to the initiation of S. aureus biofilm formation are fibronectin binding protein A and B (FnBPA, FnBPB), members of the family of Microbial Surface Components Recognizing Adhesive Matrix Molecules (MSCRAMMs) [47].

Our lab previously demonstrated that specific, non-synonymous single nucleotide polymorphisms (SNPs) in fnbA are associated with cardiac device infection (CDI) and stronger binding to fibronectin as determined by atomic force microscopy in vitro [8,9]. This association between fnbA SNPs and CDI was recently validated [10]. However, it is unknown whether this association extends to S. aureus infections of other prosthetic devices, such as arthroplasties. The current study investigates potential associations between variation in fnbA and fnbB and the likelihood of arthroplasty infection in a patient with S. aureus bacteremia (SAB).

Materials and Methods

Source of S. aureus Isolates

This study involved human participants and was approved by the IRB Committees at Duke University Medical Center, University of Cologne, and University Medical Center at Freiburg. Written consent to participate in the study was received from all participants. Adult patients with SAB were eligible for inclusion in the current analysis if they had a hip or knee arthroplasty present at time that S. aureus was isolated from ≥1 blood culture. Patients with polymicrobial infections were excluded (n = 1). Isolates from eligible patients were divided into two groups: a derivation cohort and a validation cohort.

Derivation cohort: Derivation cohort isolates were obtained from the S. aureus Bacteremia Group (SABG). SABG is an ongoing prospective cohort study at Duke University Medical Center (Durham, NC). The SABG database consists of prospectively ascertained clinical data, patient DNA, and bloodstream bacterial isolates from more than 2,000 consecutive consenting patients with SAB since 1994. SABG patients are evaluated prospectively during their hospital stays for source of infection, presence of prosthetic devices, hemodialysis dependency, clinical signs of S. aureus infection, length of stay, discharge status, and clinical outcome [11].

Validation Cohort: The validation cohort was derived from the INSTINCT (Invasive S. aureus Infection Cohort) study [12]. INSTINCT is conducted at two German centers: University of Cologne and University Medical Center Freiburg. INSTINCT has collected clinical data and bacterial isolates from more than 1,000 consecutive patients since 2006.

Clinical Definitions

Two clinical categories were identified: prosthetic joint infected (PJI) and prosthetic joint uninfected (PJU). PJI was defined as isolation of S. aureus from the arthroplasty site during the initial episode of SAB. PJU was defined as no evidence of device infection at the time of the initial episode of SAB, retention of the arthroplasty, and no evidence of infected arthroplasty or recurrent infection 12 weeks after the initial onset of SAB. Bacterial isolates were obtained from the initial blood culture specimens to allow for better comparison of PJI and PJU (e.g., there were no isolates from uninfected joints by definition). Early infection was defined as SAB occurring <1 year after prostheses implantation or manipulation. Late infection was defined as SAB occurring >1 year after placement or manipulation of prostheses.

Amino Acid Polymorphisms in FnBPA and FnBPB

Each S. aureus isolate underwent genomic DNA extraction using an Ultraclean Microbial DNA Isolation kit (MO BIO). The DNA then underwent high-fidelity PCR amplification of fnbA and fnbB. The resulting fragments were sequenced in the forward and reverse directions to obtain the full sequence length of the fnbA and fnbB binding regions [9]. Their nucleotide and predicted amino acid sequences (FnBPA and FnBPB, respectively) were compared with the respective reference sequences obtained from S. aureus NCTC 8325–4 by the ClustalW method using DNASTAR and Vector NTI [9]. These experiments were repeated for the isolates from the external validation cohort [10] by investigators (EME, BSK, THR) who were blinded to the clinical designation (i.e., PJI vs. PJU) of the isolates.

Genotyping of Bacterial Isolates by spa Typing

Genomic DNA was prepared as described above. Each DNA isolate underwent high-fidelity PCR with specifically designed forward and reverse primers to amplify the spa region [13]. The resulting PCR fragment underwent DNA purification and sequencing at the Duke University sequencing laboratory. The Ridom SpaServer (www.spaserver.ridom.de) was used to map the resulting sequences to the corresponding spa type and clonal complex.

Fibronectin Binding Assay

An assay with slight modification from that of Peacock et al. [14] was used to determine S. aureus binding to fibronectin in vitro. Briefly, 96-well BD Falcon plates were coated with 100 μL human fibronectin (10 μg/mL, Sigma) overnight at 4°C. The plates were washed with phosphate-buffered saline (PBS) and then blocked with 100 μL of 2% bovine serum albumin solution for 1 hour at 37°C. Wells were washed and 100 μL bacteria collected from overnight TSB cultures and adjusted in PBS to optical density 1.0 at 600 nm (corresponding to 107 cells/mL) were added in quadruplicate and incubated for 2 hours at 37°C. The wells were washed again with 100 μL PBS. Bacteria were fixed with 100 μL of 25% formaldehyde solution for 10 minutes. Then 100 μL of a 0.5% crystal violet (Sigma) solution was added to each well for 1 minute. Finally, 100 μL dimethyl sulfoxide was added to each well before absorbance was read at 620 nm using a Multiskan Ascent 354 Plate Reader (Thermo Labsystems). Absorbance values were then expressed as percentage of the values obtained for S. aureus 8325–4 on the same plate. Each strain underwent a total of three fibronectin binding assays, the results of which were averaged.

Biofilm Assay

The biofilm assay was performed as described by Sharma-Kuinkel et al. [15] and Beenken et al. [16] with slight modifications. Briefly, 96-well BD Falcon plates were coated with 200 μL of 20% human plasma (Sigma) in carbonate buffer (pH 9.6, 0.05M) overnight at 4°C. The plasma was then discarded from each well. Next, 200 μL bacteria grown overnight in TSB-NaCl-glucose broth and then adjusted to optical density 0.05 at 600 nm was added in quadruplicate to the wells and incubated for 24 hours at 37°C. The cultures were discarded from the wells and the plate washed with 200 μL PBS. Biofilms were fixed using 200 μL of 100% ethanol for 2 minutes at room temperature. The wells were then stained with 100 μL of 0.41% crystal violet in 12% ethanol for 2 minutes at room temperature, then washed with 200 μL PBS. Biofilms were dried at room temperature overnight and then solubilized with 100 μL of 100% ethanol for 10 minutes at room temperature. Absorbance was read at 620 nm using a Multiskan Ascent 354 Plate Reader (Thermo Labsystems). Each plate included a positive control S. aureus strain known to form biofilm (UAMS-1), another S. aureus strain that weakly forms a biofilm (8325–4), and a negative control (medium only) [16,17]. The capacity to form a biofilm was compared against these strains. Bacterial isolates were deemed to have a proteinaceous matrix when they satisfied two conditions: 1) no biofilm formed when grown in the presence of 2 μg/mL proteinase K [18], and 2) dissolution of biofilm when 2 μg/mL proteinase K was added to 36-hour biofilms and incubated for 24 hours. The biofilm matrix composition of one PJI isolate and one PJU isolate were tested.

Quantitative PCR

To evaluate the possibility that variable expression of fnbA could be associated with risk of PJI, a random sample of isolates (7 PJI, 7 PJU) from the derivation cohort underwent quantitative PCR to determine expression levels of fnbA. Isolates with multiple SNPs and isolates with few to no SNPs were equally represented within each group. The 18 isolates along with positive control (8325–4) were grown overnight in 10 mL liquid TSB media at 37°C. Bacteria collected from the overnight cultures and adjusted to an OD 0.1 at 600 nm were added to 10 mL fresh TSB liquid media and incubated at 37°C for 4 hours. RNA was then extracted from each isolate using the RNeasy Mini Kit (Qiagen). RNA concentrations were measured using a NanoDrop (Thermo Scientific) to measure the ratio of UV absorption at 260 nm and 280 nm. Next, cDNA was synthesized via RT-PCR from each RNA template using the BIO-RAD iScript cDNA Synthesis kit (170–8890). Then 2 μL cDNA was added to 96-well PCR plates in duplicate. Specially designed forward and reverse fnbA primers and the BIO-RAD SYBR Green Supermix (152–7560) were added to the cDNA as detailed by the BIO-RAD qPCR protocol. The plate was then placed in the BIO-RAD qPCR/Real Time PCR machine, and the fluorescence intensity was measured following each amplification cycle.

Western Ligand Affinity Blotting

Western ligand affinity blotting was performed as previously described [4], with modifications. Briefly, overnight cultures were diluted 1:50 in TSB medium and grown at 37°C with shaking for 4 hours. Cells were washed and surface-associated protein extracts were prepared through resuspension in PBS media containing 20 μg/mL lysostaphin (Sigma), 20 μg/mL DNAse (New England Biolabs), 1 mM phenylmethanesulfonylfluoride (PMSF, Thermo Scientific), and 1:100 dilution of a protease inhibitor cocktail (Sigma, P2714). Cell extracts were incubated at 37°C for 30 minutes and spun at 12,000 x g for 1 minute at 4°C. The protein concentration in the supernatant was determined with a BCA Protein Assay Kit (Pierce), and 20 μg of each sample was separated via sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). FnBPs were detected by incubation for 1 hour with biotinylated human fibronectin (50 μg/mL) in PBS containing 0.1% Tween 20 (PBST). An EZ-Link sulfo-N-hydroxysuccinimide-LC biotinylation kit (Pierce) was used to biotinylate human fibronectin (Sigma). After washing with PBST, membranes were incubated for 1 hour with streptavidin-peroxidase conjugate (Roche; 1:3000 dilution). Finally, membranes were developed with the ECL Western blotting system (Pierce). A S. aureus fnbA fnbB double mutant [19] was used as a negative control.

Statistical Analysis

Data were presented as frequency counts and corresponding percentages for categorical factors, and means for continuous variables [13]. Fisher’s Exact Test and unpaired t-tests with an alpha = 0.05 were used to calculate significance using Microsoft Excel and JMP Pro 10.2. Given that multiple comparisons (i.e., multiple SNPS) were tested, a false discovery rate procedure was applied to the raw p-values to correct for false associations [20]. Raw p-values are displayed in Tables 1, 2 and 3, with exception as noted in Tables 2 and 3. A p-value <0.05 was considered statistically significant [13].

Table 1. Demographic and clinical characteristics of patients in the derivation cohort with S. aureus bacteremia and infected or uninfected prostheses.

CHARACTERISTICS PROSTHETIC JOINT INFECTION (n = 27) PROSTHETIC JOINT UNINFECTED (n = 43) P-value
SEX
 Female 18 (67%) 25 (58%) 0.62
RACE
 Black 5 (19%) 13 (30%) 0.40
 White 22 (81%) 30 (70%)
COMORBIDITIES
 Diabetes mellitus 6 (22%) 19 (44%) 0.08
 Hemodialysis 1 (4%) 6 (14%) 0.24
 Cancer 4 (15%) 5 (12%) 0.73
TIMING OF INFECTION
 Early 10 (37%) 3 (7%) 0.002
 Late* 17 (63%) 40 (93%)
METHICILLIN RESISTANCE
12 (44%) 27 (69%) 0.15
MEAN AGE
61 (range 20–81) 66 (range 33–88) 0.15
DEVICE
 Hip 17 (52%) 24 (56%) 0.62
 Knee 10 (37%) 18 (42%) 0.80
 Both 0 1 (2%) 1.00

*Late infection is defined as bloodstream infection occurring >1 year after the prostheses was implanted or surgically manipulated.

Table 2. Single Nucleotide Polymorphisms (SNPs) in fibronectin binding protein A (fnbA) in the derivation cohort, external validation cohort, and late S. aureus bacteremia (SAB) group.

In the derivation cohort, no SNPs occurred with greater frequency in the prosthetic joint infection group (PJI) relative to the uninfected prosthetic joint group (PJU). In the external validation cohort, one SNP (S839N) was significantly associated with the PJU group, though when the two cohorts were combined the S839N association did not reach statistical significance (p = 0.22). Late SAB was defined as bacteremia occurring >1 year after placement or manipulation of prostheses, and here contains data from both the derivation and external validation cohorts. In the late SAB group, no SNPs occurred with greater frequency in PJI or PJU.

NONSYNONYMOUS SNP DERIVATION COHORT EXTERNAL VALIDATION COHORT LATE S. AUREUS BACTEREMIA
PJI (n = 27) PJU (n = 43) P-value PJI (n = 12) PJU (n = 58) P-value PJI (n = 27) PJU (n = 80) P-value
REPEAT 1
T539K 1 0 0.39 0 2 1.00 1 0 0.25
REPEAT 2
G563E 3 6 1.00 1 11 0.68 4 17 0.58
REPEAT 5
E652D 2 5 0.70 0 10 0.19 4 15 0.78
V668I 2 0 0.15 - - 1 0 0.25
REPEAT 6
S678I 1 0 0.15 0 2 1.00 0 0 1.00
V698I 4 8 0.76 0 14 0.11 4 20 0.42
K703E 27 40 0.28 2 24 0.19 16 47 1.00
REPEAT 7
D723G 4 7 1.00 0 15 0.06 4 19 0.42
REPEAT 8
G741S - - - 1 0 0.17 1 0 0.25
N750D 1 0 0.39 0 2 1.00 0 0 1.00
REPEAT 9
P779T - - - 0 7 0.34 0 1 1.00
H782Q 1 0 0.39 0 2 1.00 0 2 1.00
K786N 3 6 0.39 0 13 0.11 1 13 0.11
N788D - - - 0 2 1.00 0 2 1.00
K797E - - - 0 3 1.00 0 2 1.00
REPEAT 10
H804Q 2 2 0.64 0 2 1.00 1 2 1.00
H818Q 1 0 0.39 0 2 1.00 0 0 1.00
T826N 2 0 0.15 0 3 1.00 1 0 0.25
REPEAT 11
S839N 6 10 1.00 0 20 0.01* 5 25 0.23
N846S - - - 0 2 1.00 0 1 1.00
S847I - - - 0 1 1.00 0 1 1.00
K857H/Q 0 1 1.00 0 2 1.00 0 2 1.00
Q861H 0 1 1.00 0 2 1.00 0 2 1.00

*When false discovery rate control is applied, this raw p-value no longer maintains statistical significance (p = 0.22).

Table 3. Single Nucleotide Polymorphisms (SNPs) in fibronectin binding protein B (fnbB) in fnbB-containing isolates.

No SNP was associated with the prosthetic joint infected (PJI) or uninfected (PJU) isolates in the derivation cohort, external validation cohort, or late S. aureus bacteremia (SAB) group. Late SAB was defined as SAB occurring >1 year after placement or manipulation of prostheses.

NONSYNONYMOUS SNP DERIVATION COHORT EXTERNAL VALIDATION COHORT LATE S. AUREUS BACTEREMIA
PJI (n = 18) PJU (n = 29) P-value PJI (n = 11) PJU (n = 55) P-value PJI (n = 18) PJU (n = 61) P-value
REPEAT 1
E458D 3 4 1.00 5 28 0.76 5 27 0.28
E462D 0 1 1.00 1 2 0.43 1 2 0.54
H463K 3 3 0.66 5 27 1.00 6 26 0.59
T465E 3 3 0.66 5 27 1.00 7 27 0.79
E468D 1 0 0.38 1 15 0.27 2 15 0.33
E470D 3 3 0.66 4 25 0.75 5 19 1.00
F471I 3 3 0.66 5 28 0.76 7 27 0.79
P475Q 1 2 1.00 0 5 0.58 1 3 1.00
T483N 0 1 1.00 1 1 0.32 1 2 0.54
REPEAT 2 or 3
A506V 2 3 1.00 1 8 1.00 3 11 1.00
A510V 1 1 1.00 - - - 0 0 1.00
T513I 5 7 1.00 7 28 0.75 7 27 0.79
I514V 3 1 0.15 2 13 1.00 4 13 1.00
REPEAT 4
H530L 1 0 0.38 0 2 1.00 1 0 0.23
REPEAT 5
T554I 1 1 1.00 - - - 0 1 1.00
D565E 1 3 1.00 4 24 0.75 5 25 0.41
V570L 1 1 1.00 - - - 0 1 1.00
I581V 5 8 1.00 8 31 0.53 9 26 0.60
REPEAT 6
P601L - - - 0 2 1.00 0 2 1.00
E602K - - - 2 10 1.00 2 9 1.00
REPEAT 7
N618Y 2 4 1.00 4 19 1.00 5 16 1.00
H619Q 2 4 1.00 4 21 1.00 5 19 1.00
G633S 1 0 0.38 1 0 0.17 2 0 0.05*
S645T - - - 1 0 0.17 1 0 0.23
REPEAT 9
H696Q 3 5 1.00 0 10 0.19 2 14 0.34
N700K 3 4 1.00 0 5 0.58 2 9 1.00
N702D 9 19 0.37 5 32 0.53 9 40 0.27
K711E 2 4 1.00 1 7 1.00 3 9 1.00
REPEAT 10
Q718H 1 2 1.00 0 5 0.58 0 0 1.00
I723L - - - 0 2 1.00 0 1 1.00
H732Q 2 2 0.63 2 9 1.00 3 11 1.00
T740N 3 2 0.36 8 27 0.34 8 26 1.00
REPEAT 11
N753S 1 0 0.38 - - - 0 0 1.00
N760S 5 8 1.00 1 7 1.00 4 8 0.45
S761G 1 0 0.38 - - - 0 0 1.00
V761I 1 0 0.38 - - - 0 0 1.00
E765V 1 0 0.38 - - - 0 0 1.00
Q771K 1 1 1.00 3 9 0.42 3 7 0.69
G774V 2 0 0.14 0 2 1.00 2 1 0.13
H775Q 1 1 1.00 2 7 0.65 3 5 0.37
S761I - - - 0 2 1.00 0 2 1.00
T781N - - - 0 1 1.00 0 0 1.00

*When false discovery rate control is applied, this raw p-value no longer maintains statistical significance (p = 1.00).

Results

Clinical Characteristics of Derivation Cohort

The derivation cohort contained S. aureus bloodstream isolates from 70 unique patients (27 PJI; 43 PJU). Patients in the two clinical groups were similar with respect to sex, race, age, medical comorbidities, infection with MRSA, and joint location (Table 1). Significantly more patients in the PJI group had early infection (10/27 vs 3/43; p = 0.002), likely because of an increased risk of arthroplasty infection in the perioperative period.

spa Typing

A total of 24 different spa types were identified in the derivation cohort. Of these, spa types 2 (24 isolates; 34.3%), 12 (8 isolates; 11.4%), and 18 (6 isolates; 8.6%) were most common. The spa types were mapped to the broader categories of clonal complexes (CC). The most prevalent CC in the derivation cohort was CC5 (24 isolates, 34.3%) followed by CC30 (14 isolates, 20.0%).

A total of 38 different spa types were identified in the validation cohort. Of these, spa type 2 (8 isolates; 11.4%), spa type 91 (7 isolates; 10%), and spa type 3 (5 isolates; 7.1%) were the most common. When these spa types were mapped to corresponding CC, CC5 (15 isolates, 21.4%), CC7 (7 isolates, 10%), CC15 (6 isolates, 8.6%), and CC45 (6 isolates, 8.6%) predominated.

CC30 was significantly more common in the derivation cohort as compared to the validation cohort (14/70 [20%] isolates vs. 4/70 [5.7%] isolates, p = 0.01). Conversely, CC7 and CC45 were significantly more common in the validation cohort (CC7: 7/70 [10%] isolates vs. 0 isolates, p = 0.01; CC45: 6/70 [8.6%] isolates vs 0 isolates, p = 0.03) (Fig 1). Overall, there was no significant association between any of the CC and clinical group (i.e., PJI or PJU).

Fig 1. Distribution of clonal complexes amongst S. aureus bloodstream isolates in the derivation and external validation cohorts.

Fig 1

Clonal Complex 30 (CC30) was significantly more common in the derivation cohort (p = 0.01), while CC7 and CC45 were significantly more common in the external validation cohort (p = 0.01 and p = 0.03, respectively).

Sequencing of fnbA

All 70 isolates in the derivation cohort contained the fnbA gene, as determined by PCR. A total 17 different non-synonymous SNPs were found in the fibronectin binding regions of fnbA. Fifteen of the 17 SNPs were found in the PJI isolates and 10/17 SNPs were found in the PJU isolates (88.2% vs 58.8%; p = 0.11) (Fig 2A). In the derivation cohort, no SNP was significantly more common in either of the clinical groups (Table 2). This includes the three SNPs that were previously associated with cardiac device infection [9,10]–E652D (p = 0.70), H782Q (p = 0.39), and K786N (p = 0.39). The lack of association between SNP frequency and clinical group remained when bacteria were analyzed within their individual clonal complexes (data not shown).

Fig 2. Single Nucleotide Polymorphisms (SNPs) in the binding regions (Repeats 1–11) of fibronectin binding protein A (FnBPA) in the derivation cohort (A) and external validation cohort (B).

Fig 2

Red boxes indicate SNPs that were only present in isolates from the prosthetic joint infection group (PJI), blue boxes indicate SNPs that were only present in the uninfected (PJU) group, and purple boxes indicate SNPs that were present in both PJI and PJU isolates.

Sequencing of fnbB

A total 18 (66.7%) PJI isolates and 29 (67.4%) PJU isolates in the derivation cohort possessed fnbB (p = 1.00), as determined by PCR. Overall, 36 different non-synonymous SNPs were found in the binding regions of the 47 isolates containing this gene (Fig 3A). Thirty-four of these 36 SNPs (94.4%) were found in the PJI group, and 28/36 SNPs (60.0%) were found in the PJU group (p = 0.08). None of the individual SNPs were significantly more common in either of the clinical groups (Table 3). This lack of association between SNP frequency and clinical group remained when bacteria were analyzed within their individual clonal complexes (data not shown).

Fig 3. Single Nucleotide Polymorphisms (SNPs) in the binding regions (Repeats 1–11) of fibronectin binding protein B (FnBPB) in the derivation cohort (A) and the external validation cohort (B).

Fig 3

Red boxes indicate SNPs that were only present in isolates from the prosthetic joint infection group (PJI), blue boxes indicate SNPs that were only present in the uninfected (PJU) group, and purple boxes indicate SNPs that were present in both PJI and PJU isolates.

Fibronectin Binding and Biofilm Formation

Bacterial isolates within the two clinical groups of the derivation cohort exhibited a similar capacity for fibronectin binding (mean fibronectin binding: PJI 87.1% vs PJU 87.3%; p = 0.97) (Fig 4) and ability to form biofilm (mean biofilm formation: PJI 90.0% vs PJU 104.7%; p = 0.23) (Fig 5). Representative PJI and PJU isolates were tested and found to have proteinaceous biofilm matrices. Neither clinical grouping, particular fnbA SNPs, nor particular fnbB SNPs were significantly associated with reduced fibronectin binding or capacity to form biofilm. In addition, increased fibronectin binding was not significantly correlated with degree of biofilm formation (Pearson correlation coefficient r = 0.06; S1 Fig).

Fig 4. Comparison of the fibronectin binding capacity of S. aureus isolates from prosthetic joint infection (PJI) and uninfected prosthetic joint (PJU) groups.

Fig 4

Values were calculated as percentage capacity to bind fibronectin relative to S. aureus control strain 8325–4. Box ends represent the 25th and 75th percentiles, and whisker ends represent the minimum and maximum. There was no difference in fibronectin binding capacity between isolates in the PJI and PJU groups.

Fig 5. Comparison of the biofilm-forming capacity of S. aureus isolates from prosthetic joint infection (PJI) and uninfected prosthetic joint (PJU) groups.

Fig 5

Values were calculated as percentage capacity to form biofilms relative to S. aureus control strain UAMS-1. Box ends represent the 25th and 75th percentiles, and whisker ends represent the minimum and maximum. There was no difference in biofilm-forming capacity between isolates in the PJI and PJU groups.

fnbA/FnBPA Expression

Twenty percent (14 isolates) of the derivation cohort was randomly selected to assess level of fnbA RNA expression. The absorbance reading values obtained through RT-PCR were reported as fold-change in RNA expression relative to control 8325–4. The level of fnbA expression was not significantly different between the PJI and PJU isolates (p = 0.56) (Fig 6A). In addition, a Western ligand affinity blot using biotinylated human fibronectin was used to assess the expression of S. aureus fibronectin-binding proteins in a subset of isolates (5 PJI, 5 PJU). The bacterial isolates were chosen at random, and the PJI and PJU isolates were similar with respect to antibiotic susceptibility (i.e., MSSA vs. MRSA), timing of bacteremia (i.e., early vs. late) and site of prostheses. Though there was variation in fibronectin-binding protein expression, no clear difference between the PJI and PJU isolates was observed (Fig 6B). This assay measures all fibronectin-binding proteins and is not specific to FnBPA and FnBPB.

Fig 6. Fibronectin binding protein A (fnbA) RNA expression (A) and fibronectin binding proteins (FnBPs) expression (B) in randomly selected S. aureus bloodstream isolates from patients with infected (PJI) and uninfected (PJU) prosthetic hip or knee joints.

Fig 6

(A) RNA expression is represented as percent fnbA expression relative to S. aureus control 8325–4. Box ends represent the 25th and 75th percentiles, and whisker ends represent the minimum and maximum. There is no significant difference in fnbA expression between the two groups. (B) Fibronectin-binding protein expression was determined with Western ligand affinity blotting. There is no major difference in expression between the two clinical groups. Protein size (kilodaltons) is displayed and the double mutant fnbAB is included as a control.

Validation Cohort

The validation cohort contained 70 patients: 12 PJI (17.1%), and 58 PJU (82.9%). Twenty-two distinct SNPs in fnbA identified in the validation cohort isolates were present in at least one of the PJU isolates, while only 3 were present in PJI isolates (22/22 [100%] in PJU vs 3/22 [13.6%] in PJI; p = 0.001) (Fig 2B). Of the 22 SNPs identified, one SNP (S839N) was more common in the PJU group as compared to the PJI group (p = 0.01) (Table 2). After adjustment for multiple comparisons, however, the statistical significance of this finding was lost (p = 0.22). When the derivation and external validation cohorts were combined, the S839N SNP was not associated with the PJU group (p = 0.09).

Of the 70 validation cohort isolates, 66 contained fnbB (94.3%). The presence of fnbB was not associated with orthopedic device infection (66.7% PJI vs 67.4% PJU, p = 1.00). Among isolates with fnbB in the validation cohort, 35 distinct SNPs were found in the fibronectin-binding region of fnbB. Twenty-five SNPs (71.4%) were found in the PJI group and 33 (9.3%) in the PJU group (p = 0.02) (Fig 3B). There were no fnbB SNPs that occurred with greater frequency in the PJI group versus the PJU group (Table 3). When the derivation and external validation cohorts were combined, there were similarly no fnbB SNPs associated with PJI or PJU.

Early Versus Late PJI

Given that early PJI and late PJI are likely to involve different mechanisms of pathogenesis (e.g., early PJI from a primary surgical site infection; late PJI from hematogenous seeding), we evaluated fnbA and fnbB SNPs within these two clinical groups separately. Interestingly, an fnbB SNP (G633S) was associated with PJI in the late SAB group when the derivation and validation cohorts were combined (PJI: 2/18 [11%]; PJU: 0/61 [0%]; p = 0.05). However, the statistical significance of this relationship was not maintained after adjustment for multiple comparisons (p = 1.00) (Table 3). There were no other significant associations between fnbB SNPs and PJI or PJU in the early or late SAB groups. No fnbA SNPs were associated with either PJI or PJU in either the early or late SAB groups (Table 2).

Discussion

The biological basis of S. aureus prosthetic device infections is incompletely understood. The current investigation evaluates whether the association that exists between fnbA SNPs and cardiac device infection extends to arthroplasties. Our study demonstrates that, unlike cardiac devices, S. aureus infection of arthroplasties is not associated with polymorphisms in the fibronectin binding protein genes, increased fibronectin binding, or biofilm formation capacity. This finding has several important implications.

In contrast to what our lab [9] and others [10] reported in S. aureus cardiac device infections, no SNPs in S. aureus fnbA were associated with infections of arthroplasties. Of the 17 distinct SNPs found in the fnbA binding region of the derivation cohort, no single mutation occurred with greater frequency in the PJI group versus the PJU group. In particular, the three SNPs that were previously shown to be associated with cardiac device infections—E652D, H782Q, and K786N –were all present in both the derivation and validation cohorts though not statistically associated with PJI. There are a few possible explanations for this intriguing difference between S. aureus PJI and cardiac device infection. First, cardiac devices such as pacemakers and cardioverter defibrillators are endovascular. Thus, they are subject to high levels of blood flow, exposure to various blood components and host proteins, and hemodynamic shear stress. In contrast, arthroplasties are extravascular, exist within a “sanctuary space”, and are exposed to a different array of proteins and flow stress dynamics.

Second, cardiac devices are coated shortly after implantation with a proteinaceous fibrin sheath composed of host proteins including fibronectin and fibrinogen [3,2124]. The deposition of these host proteins on the endovascular components of cardiac devices significantly enhances adherence of S. aureus to the device [21]. By contrast, arthroplasties do not develop a fibrin sheath [25]. They are instead coated with osteopontin, bone sialoprotein and α2 HS-glycoprotein [25]. It is believed that these proteins accumulate because they contain polyacidic sequences (Asp-Gly-Asp) that promote cell adhesion [25]. Recent studies characterizing bone sialoprotein binding protein (bbp) of S. aureus have speculated that this MSCRAMM may be an important molecular player in the pathogenesis S. aureus osteomyelitis and PJI [26,27]. Through riboprinting, Campoccia et al. found that bbp, the gene encoding for bone sialoprotein binding protein in S. aureus, was highly prevalent (94%) in S. aureus isolates causing orthopedic device infections. Additionally, studies in rabbit models have suggested that bbp is generally only harbored by virulent S. aureus strains [28].

Third, cardioverter defibrillators, pacemakers, and their leads contain different materials than those in arthroplasties. The pacemaker generator and lithium battery are encased in a metal, typically titanium, while the leads are coated with polyurethane or silicone rubber [29,30]. By contrast, the femoral component of hip arthroplasties usually contains steel, cobalt-chromium alloys, or titanium alloys, while the cup component may contain ceramic, cobalt-chromium or polytetrafluoroethylene (PTFE, Teflon) [31].

Given the distinct properties of cardiac devices and arthroplasties, we speculate that the association between cardiac device infections and the presence of fnbA SNPs may be due at least in part to the unique conditions associated with such endovascular infections that are absent in orthopedic implants. Additionally, we propose that there may be other bacterial and/or host factors that predispose certain patients to PJI. Further research is underway to elucidate which factors those may be.

The current study also considered the potential role of fnbB in prosthetic device infection. Previous work demonstrated that S. aureus strains isolated from invasive disease often possess both fnbA and fnbB [14]. We show here that the absence of fnbB does not prevent S. aureus from causing PJI, as 20% of the 27 isolates associated with PJI lacked fnbB by PCR. Similarly, the presence of fnbB was not associated with orthopedic device infection. This result is consistent with a past study that similarly found no association between the presence of fnbB and orthopedic implant infections [32], though the comparator group in this prior study was S. aureus isolates that caused infections in persons without an orthopedic implant.

The PJI and PJU groups also had a similar mean fibronectin binding capacity. While the fibronectin binding assay is arguably a crude tool of measurement, it is a well-established platform and has previously detected differences in fibronectin binding capacity [15,16]. The ability to form biofilm was also similar in the PJI and PJU groups.

Taken together, these results suggest that SNPs within fnbA and fnbB do not influence fibronectin binding, biofilm formation, or clinical outcome (PJI vs. PJU). These results stand in stark contrast to those we found in CDI as well as a recent study of S. aureus that cause infective endocarditis [33]. This suggests that additional factors in the environment surrounding cardiac devices, but not arthroplasties, contribute to the link between fnbA and S. aureus CDI.

This study has limitations. First, only fnbA and fnbB were examined. There are a variety of other MSCRAMMs beyond the scope of this study that would be of interest to sequence, such as sialoprotein-binding protein (bbp), clumping factor A (clfA), clumping factor B (clfB), collagen binding adhesion (cna), or elastin-binding protein (ebpS). Moreover, the biological characteristic of redundancy is well known in S. aureus, making more than one mechanism possible. Second, none of the isolates lacked fnbA, making it impossible to assess the comparative importance of fnbA presence in the pathogenesis of S. aureus arthroplasty infection. Third, the growth media conditions in the assays (biofilm-forming capacity, fibronectin-binding capacity, quantitative PCR, Western ligand binding assay) differed slightly, which complicates direct comparison of assay results.

However, we conclude that genetic variation in fnbA and fnbB is not uniformly linked to the pathogenesis of foreign device infections. Instead, there appears to be a link between the physiological environment of the indwelling device, such as location, presence of a fibrin sheath, or device material, and the initiation of S. aureus prosthesis infection. Future studies are being performed to unravel this significant complication of medical progress.

Supporting Information

S1 Fig. Scatter plot of fibronectin binding capacity versus biofilm formation.

Fibronectin binding capacity was normalized to that of control strain S. aureus 8325–4, and biofilm formation was normalized to that of S. aureus UAMS-1.

(TIF)

Acknowledgments

This work was supported by grants from the National Institutes of Health: K24-AI093969 (V.G.F.), R01-AI068804 (V.G.F.), and R01-HL119648 (S.K.L.). The INSTINCT study was supported by the German Research Foundation (KA 3104/1-1 to A.J.K.), the Paul-Ehrlich Gesellschaft für Chemotherapie (to H.S. and W.V.K.), and the Federal Ministry of Education and Research (BMBF 01KI1017 to A.J.K.).

Data Availability

Sequence data for the S. aureus fnbA and fnbB genes are available from Genbank with the following accession numbers: KU057973-KU058113 and KU145155-KU145264.

Funding Statement

This work was supported by grants from the National Institutes of Health (www.nih.gov): K24-AI093969 (V.G.F.), R01-AI068804 (V.G.F.), and R01-HL119648 (S.K.L.). The INSTINCT study was supported by the German Research Foundation (www.dgf.de; KA 3104/1-1 to A.J.K.), the Paul-Ehrlich Gesellschaft für Chemotherapie (www.p-e-g.org; to H.S. and W.V.K.), and the Federal Ministry of Education and Research (www.bmbf.de; BMBF 01KI1017 to A.J.K.). The funders above had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Scatter plot of fibronectin binding capacity versus biofilm formation.

Fibronectin binding capacity was normalized to that of control strain S. aureus 8325–4, and biofilm formation was normalized to that of S. aureus UAMS-1.

(TIF)

Data Availability Statement

Sequence data for the S. aureus fnbA and fnbB genes are available from Genbank with the following accession numbers: KU057973-KU058113 and KU145155-KU145264.


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