{"paper_id":"3e562cea-e919-454b-9899-af559f2d3829","body_text":"ImmunoPET with Zirconium-89 specifically detects postoperative biofilm-associated implant infections. 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A preclinical study. F. Ruben H. A. Nurmohamed, Kevin J.H. Allen, Connor Frank, Mackenzie E. Malo, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7499139/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 08 Apr, 2026 Read the published version in EJNMMI Research → Version 1 posted 5 You are reading this latest preprint version Abstract Background Early postoperative implant infections are difficult to diagnose due to overlapping symptoms with inflammation. However, prompt surgical intervention for an implant infection can prevent the need for repeated surgeries and improve the overall success of the treatment and preserving the implant. The primary objective of this study was to assess the sensitivity and specificity of a novel immuno-PET radiotracer for detecting Staphylococcus aureus bacteria and their biofilms in a preclinical rat model Results An antibody against wall teichoic acid a common surface component of S. aureus, was labeled with Zirconium-89- as the PET tracer. Wistar Han rats underwent surgery with a S. aureus-related biofilm-infected femoral implant on one side and a sterile femoral implant on the contralateral side. The diagnostic efficacy of this imaging modality was compared with clinically established nuclear imaging techniques for implant infections, including [ 99m Tc]Tc-MDP SPECT/CT, [ 18 F]FDG PET/CT, and [ 18 F]NaF PET/CT. Furthermore, co-injection of unlabeled (\"cold\") antibodies was performed to evaluate their impact on biodistribution. All animals with a biofilm-associated femoral implant infection showed significantly higher uptake of the novel ImmunoPET tracer in the infected side compared to the sterile side throughout the 13-day postoperative study duration. A dose-dependent increase in tracer accumulation was observed with co-injection of cold antibody, suggesting its potential to improve biodistribution. Conclusions ImmunoPET with Zirconium-89-labeled antibodies specific for wall teichoic acid antigen demonstrates sensitive and specific diagnostic capabilities compared to conventional nuclear imaging modalities, offering a promising tool for early detection of postoperative chronic low-grade infections and septic implant loosening. ImmunoPET Preclinical infection Imaging Biofilm-associated Implant infections Biofilm detection Postoperative Diagnosis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Introduction Timely diagnosis of implant infections is critical to prevent revision surgeries and preserve implants [ 1 , 2 ]. However, current diagnostic methods such as C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cell count, and synovial fluid markers, often fail to differentiate infections from postoperative inflammation [ 3 – 5 ] . To enhance diagnostic accuracy, advanced nuclear imaging modalities can be utilized. These include [ 99m Tc]Tc-MDP Single Photon Emission Computed Tomography (SPECT), which employs a bone-seeking radiopharmaceutical that binds to calcium-ions on the bone surface via chemisorption [ 6 ]. Furthermore, [ 18 F]FDG Positron Emission Tomography (PET) can be used, leveraging a glucose analog as a tracer [ 7 ]. Both modalities have been extensively applied and evaluated for diagnosing implant-related infections. However, distinguishing postoperative inflammation from infection remains a significant challenge, underscoring the need for more precise diagnostic tools [ 8 – 11 ]. Additionally, in implant surgery, differentiating between aseptic and septic loosening remains diagnostic challenge [ 12 ]. Aseptic loosening involves increased macrophage activity and osteolysis (bone resorption) by osteoclasts due to micro- and nano-scale debris and can be described as an inflammatory process. Likewise, septic loosening caused by bacteria such as Staphylococcus aureus , triggers bacterial-induced inflammation and osteolysis [ 13 ]. Aseptic loosening is responsible for 29% of early total hip implant failures and 9.2% of total knee implant failures, whereas infections account for 19.5% and 51.3%, respectively [ 14 , 15 ]. Similar to the challenge of distinguishing between infection and inflammation, conventional diagnostics methods often fail to conclusively differentiate between aseptic and septic prosthetic loosening [ 16 – 18 ]. While [ 99m Tc]Tc-MDP SPECT offers a high sensitivity, it as a low specificity. In contrast, [ 18 F]-FDG PET is able to provide satisfactory sensitivity and specificity for detecting an implant infection [ 16 , 19 ]. However, due to postoperative inflammation (foreign-body reaction), distinguishing between an infection and inflammation within the first three months after surgery remains challenging with [ 18 F]-FDG PET analysis.[ 20 ]. The same challenge applies to fracture-related infections, where [ 18 F]FDG PET showing a high false-positive risk post-surgery, highlighting the need for more precise diagnostic tools[ 21 , 22 ] Diagnosing Fracture-Related-Infection with bone-scintigraphy is also challenging, as it is sensitive but lacks specificity [ 23 ]. The application of a specific antibody as carrier for positron-emitting radionuclides represents a novel imaging technique for postoperative detection of an implant- or a fracture-related infection. This molecular imaging modality is named immuno-positron emission tomography (ImmunoPET) [ 24 ]. It is an antibody-based imaging that leverages the targeting capability of an antibody to transport positron-emitting radioisotopes for highly sensitive and specific PET imaging [ 25 ]. Specific targeting of Staphylococcus aureus and its biofilm has been established with an antibody against Wall Teichoic Acid (WTA) glycopolymer [ 26 , 27 ]. Two studies from our group demonstrated intra-animal specificity of Staphylococcus aureus and its biofilm in a subcutaneous infection mouse model with the monoclonal antibody 4497-IgG1 (anti-β-GlcNAc WTA antibody) [ 28 , 29 ]. To further highlight the potential of this antibody, our recent findings suggest that radioimmunotherapy with the 4497-IgG1 antibody may exert antimicrobial effects against biofilm-associated implant infections, even under leukopenic conditions [ 30 ]. Consequently, we hypothesize that ImmunoPET with the targeting precision of the anti-WTA 4497-antibody can specifically and sensitively detect a low-grade infection compared to conventional nuclear imaging modalities in a challenging postoperative setting. In this preclinical study, we hypothesize that the Zirconium-89-labeled anti-WTA 4497 antibody possesses significant diagnostic potential as a novel ImmunoPET tracer in the early postoperative phase, specifically targeting three-day-matured Staphylococcus aureus biofilm infections. Subsequently, the diagnostic performance of the novel tracer was compared with that of [⁹⁹ᵐTc]Tc-MDP SPECT, [¹⁸F]FDG PET, and [¹⁸F]NaF PET, all of which are hypothesized to have limited ability to distinguish between infection and postoperative inflammation in the early phase following implant surgery. Finally, the study investigated the proof-of-principle for co-injecting an excess of unlabeled (cold) 4497 antibody and its potential to favorably modulate biodistribution. Materials and Methods (Condensed) A concise description of the methods is provided below; a detailed and extended version is available in the Supplementary Materials including radiolabeling, biofilm maturation, surgical procedure, imaging analyses and statistical analysis. Animal study design This study followed an intra-animal-controlled design. Thirteen male Wistar Han rats, approximately 12–13 weeks old, underwent surgery for the bilateral insertion of intrafemoral implants to distinguish between infected and sterile implants postoperatively. Nine animals received a single injection with 30 mg Zirconium-89-labeled 4497-antibody against the Wall Teichoic Acid glycopolymer as the ImmunoPET tracer ([ 89 Zr]-4497). Of these, three animals additionally received either 300 mg (10×) or 600 mg (20×) of excess unlabeled (cold) 4497 antibody. The HPLC characterization of [89Zr]-4497 conjugated with DFO is shown in Figure S1 . One animal from the [ 89 Zr]-4497 group with 600 mg co-injection and one animal from the conventional radiotracer group developed an infection of the entire sterile implant side (joint, surrounding bone and implant), and were excluded from the analysis. The ex vivo biodistribution of the excluded animal receiving [ 89 Zr]-4497 with 600 mg co-injection after 13 days post-surgery can be found in Fig. S4. For comparison another four rats received all three conventional radiotracers: [ 99m Tc]Tc-MDP (for bone-scintigraphy SPECT analysis), the glucose analog fluorine-18 FDG (for [ 18 F]FDG PET analysis) and the bone tracer fluorine-18 sodium fluoride (for [ 18 F]NaF PET analysis) (Fig. 1). One animal from the [89Zr]-4497 with 600 mg co-injection group and one from the conventional radiotracer group developed infections on the sterile implant side and were excluded from analysis. This in vivo experiment was performed after approval of the Animal Research Ethics Board of the University of Saskatchewan, Canada (protocol AUP20230035). All experiments were performed in accordance with institutional guidelines and regulations, and with the ARRIVE guidelines for reporting animal research [ 31 ]. PET/CT and SPECT/CT imaging and data assessment Imaging for the ImmunoPET and conventional radiotracer groups was conducted using PET/CT or SPECT/CT with the VECTor 4 CT scanner (MILabs, Netherlands), depending on the radiotracer employed. See Fig. 1 for the study timeline with the postoperative imaging days. To accurately calculate the standardized uptake value per bodyweight (SUVbw) for both the infected and sterile femurs with implants, 3D Slicer v5.6.2 (slicer.org) was used to generate a precisely defined region of interest (ROI) that matched accurately the anatomical structure of the femur [ 32 ]. After thresholding the bone from the CT scan, both femoral bones were manually isolated. A Radiotherapy Structure Set (RTSS) DICOM file was created from the 3D image of the femoral bones to generate specific and clear-cut ROIs of the femoral bones. Thereafter, PMOD software (version 3.910, PMOD Technologies) was used to quantify the SUVbw within the ROIs (Fig. 2). Results Specific infection targeting with [ 89 Zr]-4497 and its diagnostic potential The PET/CT analyses of the imaging group, [ 89 Zr]-4497 with no co-injection of the cold antibody (n = 3), showed sensitive and specific bacterial accumulation of the ImmunoPET tracer throughout the study duration (Fig. 3A). The biofilm-infected side (R) exhibited 5.71-, 2.84-, 3.61- and 3.08-fold greater uptake (SUVbw) on days 4, 6, 10 and 13 post-surgery, respectively (Fig. 3C). The PET/CT analyses of the imaging groups, [ 89 Zr]-4497 with 300 mg (n = 3) and 600 mg co-injection (n = 2) of the cold 4497-antibody, also showed sensitive and specific accumulation of the ImmunoPET tracer throughout the study duration (Fig. 3B-4A). The combination with 300 mg of cold antibody exhibited 2.63-, 4.07-, 2.63- and 2.12-fold greater uptake on days 4, 6, 10 and 13 post-surgery in the biofilm-infected side (R), respectively (Fig. 3D). The combination with 600 mg of cold antibody exhibited 2.17-, 1.62-, 1.62- and 4.21-fold greater uptake on days 4, 6, 10 and 13 post-surgery in the biofilm-infected side (R), respectively (Fig. 4B). A detailed overview of mean SUVbw uptake values across all time points is provided in Supplementary table S3. Across all ImmunoPET imaging groups (n = 8), the mean uptake (SUVbw) of the femur with a biofilm-infected implant (R) was 4.56 ± 0.8, 3.88 ± 1.4, 4.03 ± 1.4 and 5.41 ± 0.8 for postoperative days 4, 6, 10 and 12, respectively. The mean SUVbw of the femur with a sterile implant (L) was much lower with mean uptake values of 1.62 ± 0.9, 1.46 ± 1.0, 1.69 ± 0.6, and 1.97 ± 0.6 for postoperative days 4, 6, 10 and 12, respectively. Thus, a significant difference in uptake was observed between the femur with biofilm-infected implant (R) and the femur with sterile implant (L) on each imaging day, with p-values consistently below 0.001. Conventional nuclear imaging techniques lack specificity The biofilm-infected side (femur with implant) demonstrated uptake of [ 99m Tc]Tc-MDP comparable to that of the sterile side (femur with implant) with uptake ratios of 1.07, 1.22, and 1.07 on postoperative imaging days 4 (n = 3), 10 (n = 2) and 13 (n = 2), respectively. (Fig. 5A). The biofilm-infected side (femur with implant) also demonstrated uptake of [ 18 F]FDG comparable to that of the sterile side (femur with implant) with uptake ratios of 1.13 and 1.11 on postoperative imaging days 4 (n = 3) and 10 (n = 2), respectively (Fig. 5B). However, the sterile side demonstrated a decline in [ 18 F]FDG uptake after 13 days post-surgery (n = 2), resulting in an uptake ratio of 1.78 between the biofilm-infected and sterile sides (Fig. 5B). With [ 18 F]NaF PET imaging, the biofilm-infected side (femur with implant) demonstrated uptake of 18 F-fluoride ions comparable to that of the sterile side (femur with implant) with uptake ratios of 0.95 and 1.09 on postoperative imaging days 6 (n = 2) and 12 (n = 3) respectively (Fig. 6). A detailed overview of mean SUVbw uptake values across all time points is provided in Supplementary table S4. Ex vivo biodistribution and the proof-of-principle of cold antibody co-injection Across all ImmunoPET imaging groups (n = 8), all femurs with biofilm-infected implants (R) showed an accumulation of 1.27 ± 0.7%ID/gram. The accumulation of all the femurs with sterile implants (L) was 0.35 ± 0.2%ID/gram. A significant difference was found in the accumulation between the infected side (R) and the sterile side (L) after 13 days post-surgery of the ImmunoPET tracer (p = 0.003) (Fig. 7). The ex vivo biodistribution of the excluded [ 89 Zr]-4497 animal is shown in Fig. S4. Given the finite number of bacterial epitopes, an increase in systemically available antibodies could lead to full saturation of these epitopes within the infected joint. Consequently, excess 4497-antibody will preferably bind to the biofilm-infected implant in the femur. It is hypothesized that this increase in systemically available antibodies is achieved through the administration of a cold-antibody overdose, which saturates antibody-capturing organs such as the spleen. In the study, co-injection of the cold 4497-antibody resulted in favorable effects on the biodistribution between the articular capsule (Fig. S2) at the infected side (R) and the femur with the biofilm-infected implant (R). The ratio of the mean %ID/gram between these two sites from the same infected side, decreased with the co-injection of the cold 4497-antibody. For the no co-injection, 300 mg co-injection, and 600 mg co-injection imaging groups, the calculated %ID/gram ratios between the articular capsule (R) and femur with biofilm-infected implant (R) were 2.8, 2.5, and 1.9, respectively. Additional results, such as infection/sterility validation (Fig. S3, Tables S1 and S2), ex vivo biodistribution (extended) and short-term hematological effect assessment (Fig. S5) are provided in the Supplementary Results. Table 1 Mechanism of action of Nuclear Infection and Postoperative Inflammation Imaging for implant-related infections in the first postoperative period. Imaging modality Mechanism of action Tracer Infection Postoperative inflammation References ImmunoPET with [ 89 Zr]-4497 Specific binding to the WTA-glycopolymer present on gram-positive bacteria and its biofilm surface. anti-β-GlcNAc WTA 4497-antibody Binding to the WTA-glycopolymer on the bacterial cell wall and surface biofilm. No binding expected due to the absence of bacteria and biofilm. [ 25 , 28 , 29 ] Bone scintigraphy ([ 99m Tc]Tc-MDP SPECT) MPD Binds to the hydroxyapatite crystals, produced by osteoblasts (chemisorption). Methyl-diphosphonate (MDP) MDP uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following bacterial internalization. MDP uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following new bone formation. [ 33 – 36 ] [ 18 F]FDG PET Activated leucocytes express more GLUT1 and GLUT3 receptors. Fluorodeoxyglucose (FDG) FDG uptake is increased in activated leucocytes/macrophages due their response to infection. FDG uptake in activated leukocytes is increased due to inflammation in tissues, such as during early bone repair. [ 20 , 37 – 40 ] [ 18 F]NaF PET 18 F-ions exchange with hydroxyl ions of hydroxyapatite crystals which are produced by osteoblasts (chemisorption). No tracer, 18 F-NaF will dissociate into Na + and 18 F-fluoride (F − ) ions. 18 F-ions uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following bacterial internalization. 18 F-ions uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following new bone formation. [ 35 , 36 , 41 – 43 ] Discussion Distinguishing between surgical-related inflammation and an infection in the first postoperative days remains a challenge task with today’s diagnostic tools. In the present study, the potential for diagnostic differentiation between inflammation (represented by a sterile implant, L), and a low-grade infection (represented by a biofilm-infected implant, R), in the first 13 postoperative days was evaluated using the [ 89 Zr]-labeled 4497-antibody (as the novel ImmunoPET tracer) and with conventional nuclear imaging modalities such as [ 99m Tc]Tc-MDP-SPECT, [ 18 F]FDG-PET, and [ 18 F]NaF-PET. The main issue of implant-associated infections is the presence of biofilm. This biofilm acts as a physical barrier that inhibits full antibiotic penetration and contains diverse types of bacteria such as metabolically inactive bacteria (persister cells) which are tolerant to antibiotics [ 44 , 45 ]. Early detection of an implant-associated infection is favorable and could lower the morbidity and mortality [ 2 , 46 ]. The rationale behind the current novel immunoPET tracer lies in utilizing a highly specific antibody that targets bacteria and their biofilms, which also serves as a carrier for positron-emitting radionuclides (Table 1 ). In addition, the use of PET imaging is more favorable than SPECT imaging as PET has better image quality and is more suitable for quantification [ 24 ]. Throughout the complete study duration, significant more uptake (SUVbw) of the novel immunoPET tracer is observed in the femur with the biofilm-infected implant. Even after 13 days post-surgery, significant more accumulation (%ID/gram) was observed in the femur with a biofilm-infected implant, highlighting the selective targeting capabilities of this novel ImmunoPET tracer with the 4497-antibody. In contrast, due to heightened osteoblastic activity in both the infected and sterile side, increased accumulation of MDP was anticipated (Table 1 ). Throughout the complete study duration, the SUVbw ratio between the femur with biofilm-infected implant and femur with sterile implant (resembling a postoperative inflammation) showed comparable uptake values with bone scintigraphy ([ 99m Tc]Tc-MDP SPECT). Likewise, due to increased inflammatory processes in both sides, increased glucose (FDG) uptake was anticipated (Table 1 ). [ 18 F]FDG PET analysis on day 4 and 10 post-surgery showed equal glucose uptake. Interestingly, the SUVbw on day 13 post-surgery of the femur with implant from the sterile side showed a decrease in uptake and likely reflects the decreased inflammatory response over the post-surgical time. Similarly, [ 18 F]NaF runs into the same differentiating issues as bone scintigraphy (Table 1 ). On day 6 and 12 post-surgery, the uptake value was similar for both sides. In conclusion, conventional nuclear imaging techniques are unable to distinguish between post-surgical inflammation and infection in the early postoperative period, whereas the novel immuno-PET tracer demonstrates the ability to make this distinction. CFU assessment at the end of the experiment confirmed the presence or absence of infection (Fig. S3). Two animals were excluded from the image analysis due to an infected left (sterile) side. Interestingly, the PET/CT analysis of the [ 89 Zr]-4497 (600 mg co-injection) imaging group showed uptake of the ImmunoPET tracer at this left ‘sterile’ side beginning on day 6 post-surgery (Fig. 4). This contamination, could also have resulted from a later acquired infection, received in the cage through bacterial shedding from the animals. As such, utilizing ImmunoPET with PET/CT analysis demonstrated satisfactory sensitivity for an early-stage bacterial focus. In this study, no significant changes in WBC, RBC, or hemoglobin levels were observed, suggesting that bone marrow suppression did not occur (Fig. S5). Importantly, when using radiolabeled antibodies in subjects with an infection, maintaining the WBC count is crucial, as this is commonly observed in patients receiving radiolabeled antibodies for therapeutic purposes [ 47 ]. The thrombocytopenia observed in the present study may be attributed to the surgical intervention in both femoral bones, along with bone marrow infection and Staphylococcus aureus bacteremia. Several animal studies have demonstrated the concept of co-injection of cold antibodies to improve biodistribution [ 48 – 51 ]. Because antibodies transport through convection to inner tissues, organs with loose endothelia (such as the spleen) are prone to accumulate antibodies [ 52 ]. Previous experience with the application of the radiolabeled antibody in in vivo surgical models involving implant infections have demonstrated a complex biodistribution pattern. This complexity arises from the onset of a new infection in the joint leading to an arthritis-induced thickened articular capsule (Fig. S2). Inducing an in vivo implant infection may also lead to infection of the wound and joint, resulting in the formation of additional target sites for the immunoPET tracer beyond the femur with the biofilm-infected implant, which are more accessible to the ImmunoPET tracer. The hypothesis related to the co-injections with cold antibody was that saturating FcR-expressing cells in the spleen through co-injection of the cold 4497-antibody would subsequently increase systemic availability [ 53 ]. The ratio between the infected articular capsule (R) and the femur with biofilm-infected implant (R) decreases with the use of the cold 4497-antibody, suggesting that co-injection indeed enhances systemic availability. However, the use of co-injection should be performed with caution as this could also result in epitope blocking for the radiolabeled 4497-antibody. Leading to a situation where the radiolabeled antibody competes with the unlabeled antibody [ 54 ]. A potential effect of competition could be observed in the shift of greatest proportional difference in SUVbw between the femur with biofilm-infected implant and femur with sterile implant. The largest uptake difference between infected side (R) and sterile side (inflamed, L) occurred on day 4 post-surgery in the ImmunoPET group without cold 4497-antibody (ratio of 5.71, Fig. 3C). In contrast, the peak SUVbw ratio shifted to day 6 (4.07, Fig. 3D) and day 13 (4.21, Fig. 4) for the 300 mg and 600 mg co-injection groups, respectively. This shift may result from delayed binding to the biofilm-infected implant due to competition with the co-injected cold-antibody. In a clinical scenario, it is questionable whether adding cold antibodies is necessary. Future human studies should assess the target-to-background ratio and evaluate the need for cold antibody co-injection to enhance delivery of the 4497-antibody. Another way to strengthen future experimental animal studies is by using a study design that includes both the novel ImmunoPET tracer and [ 99m Tc]Tc-MDP SPECT-radiotracer within the same imaging group. This would eliminate confounding factors such as intra-animal variability, differences in administered doses, and environmental conditions. The use of radiolabeled antibodies as ImmunoPET tracers for implant-associated infections has been previously explored. Earlier studies have evaluated similar approaches using Zirconium 89 labeled antibodies, including the 1D9-antibody targeting the IsaA antigen and the SAC55-antibody targeting lipoteichoic acid [ 55 , 56 ]. However, all these experiments lack an in vivo animal model with an intra-animal-controlled design in combination with the complexity of biofilm. Our current study design allows us to evaluate the diagnostic capability in combination with an approach which effectively mimics the characteristics of biofilm-associated infections (a low-grade infection), such as phagocytosis inhibition, chronicity, and low metabolic activity [ 57 – 60 ]. Conclusion This biofilm-associated implant infection model, which also resembles a challenging surgical scenario, demonstrated specific and sensitive uptake of the novel ImmunoPET tracer at the infected side throughout the study, performing much better than all the conventional nuclear imaging modalities. Consequently, the introduced ImmunoPET tracer, consisting of Zirconium-89 radiolabeled 4497 antibody targeting wall teichoic acid, represents a highly promising nuclear imaging modality for the diagnosis of a low-grade implant infection in the critical early postoperative period and for the accurate differentiation between aseptic and septic implant loosening. Early differentiation of implant infection from inflammation would enable timely treatment decisions after surgery, potentially leading to improved outcomes in surgical infection treatments. However, before clinical introduction of the proposed ImmunoPET tracer, the versatility of this imaging modality should be further investigated with in vivo studies using various types of pathogens such as e.g. gram-negative bacteria or polymicrobial infections. Abbreviations [ 18 F]FDG 2-deoxy-2-[¹⁸F]fluoro-D-glucose [ 18 F]NaF Sodium fluoride-18 4497-antibody Mut (H+Y) HuIgG1-anti-Wall Techoic Acid-4497 antibody [ 89 Zr]-4497 The 4497-antibody labeled with Zirconium-89 [ 99m Tc]Tc-MDP Technetium-99m labeled methylene disphosphonate CFU Colony forming units HE-UHR-RM High-energy Ultra High-Resolution Rat Mouse IgG1 Immunoglobulin G subclass 1 ImmunoPET Immuno-positron emission tomography OD 600 Optical Density at 600 nanometers. PET/CT Positron Emission Tomography / Computed Tomography RBC Red blood cell SPECT/CT Single Photon Emission Computed Tomography / Computed Tomography SUVbw Standardized Uptake Value (SUV) normalized to body weight (bw) TSB Tryptic Soy Broth WTA Wall Teichoic Acid WBC White Blood Cell %ID Percentage Injected Dose Declarations Ethics approval and consent to participate All applicable international, national, and institutional guidelines for the care and use of animals, as well as the relevant application of the described methods, were followed. All animal procedures were conducted in accordance with protocols approved by the Animal Research Ethics Board of the University of Saskatchewan, Canada (protocol AUP20230035). Consent for publication Not applicable. Competing interests The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Funding This publication is part of a collaboration between University Medical Center Utrecht and the University of Saskatchewan. This project is funded by DARTBAC (with project number NWA.1292.19.354) of the research program NWA-ORC financed by the Dutch Research Council (NWO). Author Contributions FRHAN conceived the study, led and conducted the experiments, performed data visualization, and wrote the manuscript. KJHA, MEM, and CF conducted experiments, contributed to data visualization, and assisted in writing. JFFH, BW, AP, MGEHL, JAGS, and HCV were involved in study conceptualization, experimental design, and manuscript development. BCHW, ED, and HW provided oversight in study design, secured funding, supervised the project, and contributed to manuscript review and revision. Acknowledgements The authors declare that they have no acknowledgments to report. Availability of data and material All data are available in the main text or the supplementary materials. 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Supplementary Files S1.png S2.png s3.png S4.png S5.png SupplementalfileEJNMMIres.docx Cite Share Download PDF Status: Published Journal Publication published 08 Apr, 2026 Read the published version in EJNMMI Research → Version 1 posted Reviewers agreed at journal 28 Oct, 2025 Reviewers invited by journal 16 Oct, 2025 Editor invited by journal 15 Oct, 2025 Editor assigned by journal 07 Oct, 2025 First submitted to journal 06 Oct, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-7499139\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":530693864,\"identity\":\"bc16d5ca-f64b-42f0-affc-420d20c33f31\",\"order_by\":0,\"name\":\"F. Ruben H. A. 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06:47:37\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":555530,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eStudy timeline of the [89Zr]-4497 (ImmunoPET) imaging groups and radiotracer imaging group.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLegend: After three days of in vitro biofilm maturation on the femoral implants, all animals underwent the bilateral femoral implant procedure on day 0. Subsequently, after three days of infection development, the immunoPET tracer was administered on day +3. Thereafter, on days +4, +6, +10 and +13 post-surgery, a PET/CT analysis was performed for all animals in the [89Zr]-4497 (immunoPET) imaging groups (n=8). Similarly, to the [89Zr]-4497 (immunoPET) imaging groups, imaging of the animals receiving the conventional radiotracers (n=3), was performed according to same timeline. All animals from both the immunoPET imaging groups and radiotracer imaging group were euthanized on day +13 post-surgery for CFU assessment and ex vivo biodistribution assessment (ImmunoPET imaging groups only).\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/83ed19811a6e225c800502df.png\"},{\"id\":94760805,\"identity\":\"214719bc-3da4-44e5-a679-96c49ce4ee97\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":325370,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eClear-cut ROIs are used for Standardized Uptake Value analyses.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;Legend: The SUV was normalized to body weight and to the decay of the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-radioisotope (SUVbw). Calculation of SUVbw was performed by generating specific ROIs. (\\u003cstrong\\u003ea\\u003c/strong\\u003e) A 3D image of the bone was processed from the CT image after manual thresholding. (\\u003cstrong\\u003eb\\u003c/strong\\u003e) The femur with a biofilm-infected implant (green) and the femur with a sterile implant (yellow) were manually isolated. The mask-volume option was used to fill in the gaps in both femurs. (\\u003cstrong\\u003ec\\u003c/strong\\u003e) The posteroanterior and sagittal planes are shown. With clear-cut ROIs, the SUVbw was measured using PMOD software (version 3.910, PMOD Technologies) .\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/a3b909e692e77beef1e6ffb6.png\"},{\"id\":94823815,\"identity\":\"74ffb9e5-faf1-4941-90d0-76d2578461e9\",\"added_by\":\"auto\",\"created_at\":\"2025-10-31 06:48:03\",\"extension\":\"png\",\"order_by\":3,\"title\":\"Figure 3\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":783967,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eThe ImmunoPET tracer shows specific targeting of the infection throughout the study duration.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLegend: The green L indicates the left sterile implant and the red R indicates the right biofilm-infected implant. Posteroanterior (PA) and sagittal planes are depicted. Dotted line indicates the day of injection. \\u003cstrong\\u003e(a) \\u003c/strong\\u003ePET/CT scans of the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 with no co-injection of cold 4497-antibody. \\u003cstrong\\u003e(c) \\u003c/strong\\u003ePET/CT scans of [89Zr]-4497 (ImmunoPET) with no co-injection show five times more accumulation of the ImmunoPET tracer in the femur with biofilm-infected implant compared to the femur with sterile implant at day four post-surgery. The ratio SUVbw between the femur with biofilm-infected implant and femur with sterile implant on days 4, 6, 10 and 13 post-surgery was 5.71, 2.84, 3.61 and 3.08, respectively. \\u003cstrong\\u003e(b) \\u003c/strong\\u003ePET/CT scans of the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 with 300 mg co-injection of cold 4497-antibody. \\u003cstrong\\u003e(d) \\u003c/strong\\u003eThe ratio SUVbw between the femur with biofilm-infected implant and femur with sterile implant on days 4, 6, 10 and 13 post-surgery was 2.63, 4.07, 2.63 and 2.12, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig3.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/b146facd32c1c43190bcd30c.png\"},{\"id\":94760801,\"identity\":\"94aad218-8b40-47a1-a034-73ebb32ee994\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":4,\"title\":\"Figure 4\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":469431,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003ePET/CT scans of [\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e89\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003cstrong\\u003eZr]-4497 (ImmunoPET) co-injected with 600 mg of cold 4497-antibody, demonstrate exceptional sensitivity, revealing accumulation in the contaminated joint on the sterile side.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLegend:\\u003cstrong\\u003e \\u003c/strong\\u003eThe ImmunoPET tracer shows specific targeting of the biofilm throughout the study duration. The green L indicates the left sterile implant and the red R indicates the right biofilm-infected implant. The yellow arrow displays the left contaminated joint (articular capsule). Posteroanterior (PA) and sagittal planes are depicted. Dotted line indicates the day of injection. \\u003cstrong\\u003e(a) \\u003c/strong\\u003ePET/CT scans of the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 \\u0026amp; 600 mg co-injection of cold 4497-antibody. \\u003cstrong\\u003e(b) \\u003c/strong\\u003eThe ratio SUVbw between the femur with biofilm-infected implant and femur with sterile implant on days 4, 6, 10 and 13 post-surgery was 2.17, 1.62, 1.62 and 4.21, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig4.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/6e8bed8b4a36be8a85ea3de8.png\"},{\"id\":94760806,\"identity\":\"d5eb7d28-95d4-4cb7-9e4a-319853237ed2\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":5,\"title\":\"Figure 5\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":645046,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003eSPECT/CT scans using [\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e99m\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003cstrong\\u003eTc]Tc-MDP (bone scintigraphy) and PET/CT scans with [\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e18\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003cstrong\\u003eF]FDG demonstrate comparable uptake at both biofilm-infected and sterile implant sides consistently throughout the study period.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLegend: The green L indicates the left sterile implant and the red R indicates the right biofilm-infected implant. The SUVbw and ratio of the femurs with implants are displayed. Posteroanterior (PA) and sagittal planes are depicted. \\u003cstrong\\u003e(a) \\u003c/strong\\u003e[\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP SPECT shows uptake in both implant sites. The ratio SUVbw between femur with biofilm-infected implant and femur with sterile implant on days 4, 10, and 13 post-surgery was 1.07, 1.22, and 1.07, respectively. \\u003cstrong\\u003e(b) \\u003c/strong\\u003e[\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG PET shows uptake in both implant sites. The ratio SUVbw between femur with biofilm-infected implant and femur with sterile implant on days 4, 10, and 13 post-surgery was 1.13, 1.10 and, 1.77, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig5.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/e7538ce031bb0bf5bc105e64.png\"},{\"id\":94824465,\"identity\":\"98a7fdd5-f61e-4311-84eb-32cee88610c5\",\"added_by\":\"auto\",\"created_at\":\"2025-10-31 06:49:01\",\"extension\":\"png\",\"order_by\":6,\"title\":\"Figure 6\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":155578,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cstrong\\u003ePET/CT scans with [\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e18\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003cstrong\\u003eF]NaF demonstrate comparable uptake at both biofilm-infected and sterile implant sites.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eLegend: The green L indicates the left sterile implant and the red R indicates the right biofilm-infected implant. Posteroanterior (PA) and sagittal scans are depicted. The SUVbw and ratio of the femurs with implants are displayed. The ratio SUVbw between the femur with biofilm-infected implant and the femur with sterile implant on days 6 and 12 post-surgery was 0.95 and 1.09, respectively.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig6.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/16fdaf2e0fe71c62bf8da6e7.png\"},{\"id\":94824536,\"identity\":\"0b5d3955-91d4-4d73-b7d4-7ffc0653f80a\",\"added_by\":\"auto\",\"created_at\":\"2025-10-31 06:49:05\",\"extension\":\"png\",\"order_by\":7,\"title\":\"Figure 7\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":152784,\"visible\":true,\"origin\":\"\",\"legend\":\"\\u003cp\\u003e\\u003cem\\u003e\\u003cstrong\\u003eEx vivo\\u003c/strong\\u003e\\u003c/em\\u003e\\u003cstrong\\u003e biodistribution of the [\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e89\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003cstrong\\u003eZr}-4497 ImmunoPET\\u0026nbsp; imaging groups demonstrates a dose-dependent increase in radiolabeled antibody accumulation at the biofilm-infected implant site with co-injection\\u003c/strong\\u003e.\\u003c/p\\u003e\\n\\u003cp\\u003eLegend: Organs and implants were harvested and individually measured using a gamma counter at 13 days post-surgery. The mean (SD) tissue accumulation of the ImmunoPET tracer Is expressed as %ID/gram. A dose-dependent increase in accumulation is observed in the femur with the biofilm-infected implant and in the articular capsule following the co-injection of cold 4497-antibody. Conversely, a dose-dependent decrease is accumulation in observed in the spleen with co-injection of cold 4497-antibody.\\u003c/p\\u003e\",\"description\":\"\",\"filename\":\"Fig7.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/fc74d65d023d85cc52748f66.png\"},{\"id\":106809422,\"identity\":\"9ba778fa-79a7-4500-b4e0-1a9e5d63110b\",\"added_by\":\"auto\",\"created_at\":\"2026-04-13 16:10:43\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":3857768,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/c917fb90-742d-4862-95ea-a0829bbf6d15.pdf\"},{\"id\":94760794,\"identity\":\"b1287d08-d8ef-4f9d-97c5-2378cc70ffca\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":1,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":208299,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"S1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/bf8b907ae132d45c91d9053d.png\"},{\"id\":94760809,\"identity\":\"b4cd63ae-adc6-4227-9fd8-a00da772b9f5\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":2,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":201816,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"S2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/908b7b19a385ec88b66a47d0.png\"},{\"id\":94760796,\"identity\":\"cb1e97b6-ddbd-4a15-97db-8bd66ec16dfb\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":3,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":2072880,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"s3.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/287b9539ba2789eebf27ab52.png\"},{\"id\":94760808,\"identity\":\"6c20ef29-e978-4754-a03c-5e1a8e9df923\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":4,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":157388,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"S4.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/98bcc4fc75398dce052ed195.png\"},{\"id\":94760797,\"identity\":\"cbd78d3e-70d3-45ec-a575-9fa75b09ab52\",\"added_by\":\"auto\",\"created_at\":\"2025-10-30 12:05:41\",\"extension\":\"png\",\"order_by\":5,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":67944,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"S5.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/91aa08f9c14c42dff8e6d589.png\"},{\"id\":94824690,\"identity\":\"b1aeeee8-72e2-4775-87c6-687cbfb4bc65\",\"added_by\":\"auto\",\"created_at\":\"2025-10-31 06:49:14\",\"extension\":\"docx\",\"order_by\":6,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"supplement\",\"size\":68863,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"SupplementalfileEJNMMIres.docx\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7499139/v1/47cfb0b3f57e1609d5d5e36d.docx\"}],\"financialInterests\":\"\",\"formattedTitle\":\"ImmunoPET with Zirconium-89 specifically detects postoperative biofilm-associated implant infections. A preclinical study.\",\"fulltext\":[{\"header\":\"Introduction\",\"content\":\"\\u003cp\\u003eTimely diagnosis of implant infections is critical to prevent revision surgeries and preserve implants [\\u003cspan citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e]. However, current diagnostic methods such as C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cell count, and synovial fluid markers, often fail to differentiate infections from postoperative inflammation [\\u003cspan additionalcitationids=\\\"CR4\\\" citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e] .\\u003c/p\\u003e\\u003cp\\u003eTo enhance diagnostic accuracy, advanced nuclear imaging modalities can be utilized. These include [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP Single Photon Emission Computed Tomography (SPECT), which employs a bone-seeking radiopharmaceutical that binds to calcium-ions on the bone surface via chemisorption [\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e]. Furthermore, [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG Positron Emission Tomography (PET) can be used, leveraging a glucose analog as a tracer [\\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e]. Both modalities have been extensively applied and evaluated for diagnosing implant-related infections. However, distinguishing postoperative inflammation from infection remains a significant challenge, underscoring the need for more precise diagnostic tools [\\u003cspan additionalcitationids=\\\"CR9 CR10\\\" citationid=\\\"CR8\\\" class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eAdditionally, in implant surgery, differentiating between aseptic and septic loosening remains diagnostic challenge [\\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e]. Aseptic loosening involves increased macrophage activity and osteolysis (bone resorption) by osteoclasts due to micro- and nano-scale debris and can be described as an inflammatory process. Likewise, septic loosening caused by bacteria such as \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e, triggers bacterial-induced inflammation and osteolysis [\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e]. Aseptic loosening is responsible for 29% of early total hip implant failures and 9.2% of total knee implant failures, whereas infections account for 19.5% and 51.3%, respectively [\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eSimilar to the challenge of distinguishing between infection and inflammation, conventional diagnostics methods often fail to conclusively differentiate between aseptic and septic prosthetic loosening [\\u003cspan additionalcitationids=\\\"CR17\\\" citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR18\\\" class=\\\"CitationRef\\\"\\u003e18\\u003c/span\\u003e]. While [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP SPECT offers a high sensitivity, it as a low specificity. In contrast, [\\u003csup\\u003e18\\u003c/sup\\u003eF]-FDG PET is able to provide satisfactory sensitivity and specificity for detecting an implant infection [\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e]. However, due to postoperative inflammation (foreign-body reaction), distinguishing between an infection and inflammation within the first three months after surgery remains challenging with [\\u003csup\\u003e18\\u003c/sup\\u003eF]-FDG PET analysis.[\\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e]. The same challenge applies to fracture-related infections, where [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG PET showing a high false-positive risk post-surgery, highlighting the need for more precise diagnostic tools[\\u003cspan citationid=\\\"CR21\\\" class=\\\"CitationRef\\\"\\u003e21\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR22\\\" class=\\\"CitationRef\\\"\\u003e22\\u003c/span\\u003e] Diagnosing Fracture-Related-Infection with bone-scintigraphy is also challenging, as it is sensitive but lacks specificity [\\u003cspan citationid=\\\"CR23\\\" class=\\\"CitationRef\\\"\\u003e23\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eThe application of a specific antibody as carrier for positron-emitting radionuclides represents a novel imaging technique for postoperative detection of an implant- or a fracture-related infection. This molecular imaging modality is named immuno-positron emission tomography (ImmunoPET) [\\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e]. It is an antibody-based imaging that leverages the targeting capability of an antibody to transport positron-emitting radioisotopes for highly sensitive and specific PET imaging [\\u003cspan citationid=\\\"CR25\\\" class=\\\"CitationRef\\\"\\u003e25\\u003c/span\\u003e].\\u003c/p\\u003e\\u003cp\\u003eSpecific targeting of \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e and its biofilm has been established with an antibody against Wall Teichoic Acid (WTA) glycopolymer [\\u003cspan citationid=\\\"CR26\\\" class=\\\"CitationRef\\\"\\u003e26\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR27\\\" class=\\\"CitationRef\\\"\\u003e27\\u003c/span\\u003e]. Two studies from our group demonstrated intra-animal specificity of \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e and its biofilm in a subcutaneous infection mouse model with the monoclonal antibody 4497-IgG1 (anti-β-GlcNAc WTA antibody) [\\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e]. To further highlight the potential of this antibody, our recent findings suggest that radioimmunotherapy with the 4497-IgG1 antibody may exert antimicrobial effects against biofilm-associated implant infections, even under leukopenic conditions [\\u003cspan citationid=\\\"CR30\\\" class=\\\"CitationRef\\\"\\u003e30\\u003c/span\\u003e]. Consequently, we hypothesize that ImmunoPET with the targeting precision of the anti-WTA 4497-antibody can specifically and sensitively detect a low-grade infection compared to conventional nuclear imaging modalities in a challenging postoperative setting.\\u003c/p\\u003e\\u003cp\\u003eIn this preclinical study, we hypothesize that the Zirconium-89-labeled anti-WTA 4497 antibody possesses significant diagnostic potential as a novel ImmunoPET tracer in the early postoperative phase, specifically targeting three-day-matured \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e biofilm infections. Subsequently, the diagnostic performance of the novel tracer was compared with that of [⁹⁹ᵐTc]Tc-MDP SPECT, [\\u0026sup1;⁸F]FDG PET, and [\\u0026sup1;⁸F]NaF PET, all of which are hypothesized to have limited ability to distinguish between infection and postoperative inflammation in the early phase following implant surgery. Finally, the study investigated the proof-of-principle for co-injecting an excess of unlabeled (cold) 4497 antibody and its potential to favorably modulate biodistribution.\\u003c/p\\u003e\"},{\"header\":\"Materials and Methods (Condensed)\",\"content\":\"\\u003cp\\u003e\\u003cem\\u003eA concise description of the methods is provided below; a detailed and extended version is available in the Supplementary Materials including radiolabeling, biofilm maturation, surgical procedure, imaging analyses and statistical analysis.\\u003c/em\\u003e\\u003c/p\\u003e\\u003cdiv id=\\\"Sec3\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003eAnimal study design\\u003c/h2\\u003e\\u003cp\\u003eThis study followed an intra-animal-controlled design. Thirteen male Wistar Han rats, approximately 12\\u0026ndash;13 weeks old, underwent surgery for the bilateral insertion of intrafemoral implants to distinguish between infected and sterile implants postoperatively. Nine animals received a single injection with 30 mg Zirconium-89-labeled 4497-antibody against the Wall Teichoic Acid glycopolymer as the ImmunoPET tracer ([\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497). Of these, three animals additionally received either 300 mg (10\\u0026times;) or 600 mg (20\\u0026times;) of excess unlabeled (cold) 4497 antibody. The HPLC characterization of [89Zr]-4497 conjugated with DFO is shown in Figure \\u003cspan refid=\\\"MOESM1\\\" class=\\\"InternalRef\\\"\\u003eS1\\u003c/span\\u003e. One animal from the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 group with 600 mg co-injection and one animal from the conventional radiotracer group developed an infection of the entire sterile implant side (joint, surrounding bone and implant), and were excluded from the analysis. The \\u003cem\\u003eex vivo\\u003c/em\\u003e biodistribution of the excluded animal receiving [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 with 600 mg co-injection after 13 days post-surgery can be found in Fig. S4.\\u003c/p\\u003e\\u003cp\\u003eFor comparison another four rats received all three conventional radiotracers: [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP (for bone-scintigraphy SPECT analysis), the glucose analog fluorine-18 FDG (for [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG PET analysis) and the bone tracer fluorine-18 sodium fluoride (for [\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF PET analysis) (Fig.\\u0026nbsp;1). One animal from the [89Zr]-4497 with 600 mg co-injection group and one from the conventional radiotracer group developed infections on the sterile implant side and were excluded from analysis.\\u003c/p\\u003e\\u003cp\\u003eThis \\u003cem\\u003ein vivo\\u003c/em\\u003e experiment was performed after approval of the Animal Research Ethics Board of the University of Saskatchewan, Canada (protocol AUP20230035). All experiments were performed in accordance with institutional guidelines and regulations, and with the ARRIVE guidelines for reporting animal research [\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e].\\u003c/p\\u003e\\u003c/div\\u003e\\n\\u003ch3\\u003ePET/CT and SPECT/CT imaging and data assessment\\u003c/h3\\u003e\\n\\u003cp\\u003eImaging for the ImmunoPET and conventional radiotracer groups was conducted using PET/CT or SPECT/CT with the VECTor\\u003csup\\u003e4\\u003c/sup\\u003eCT scanner (MILabs, Netherlands), depending on the radiotracer employed. See Fig.\\u0026nbsp;1 for the study timeline with the postoperative imaging days. To accurately calculate the standardized uptake value per bodyweight (SUVbw) for both the infected and sterile femurs with implants, 3D Slicer v5.6.2 (slicer.org) was used to generate a precisely defined region of interest (ROI) that matched accurately the anatomical structure of the femur [\\u003cspan citationid=\\\"CR32\\\" class=\\\"CitationRef\\\"\\u003e32\\u003c/span\\u003e]. After thresholding the bone from the CT scan, both femoral bones were manually isolated. A Radiotherapy Structure Set (RTSS) DICOM file was created from the 3D image of the femoral bones to generate specific and clear-cut ROIs of the femoral bones. Thereafter, PMOD software (version 3.910, PMOD Technologies) was used to quantify the SUVbw within the ROIs (Fig.\\u0026nbsp;2).\\u003c/p\\u003e\"},{\"header\":\"Results\",\"content\":\"\\u003cdiv id=\\\"Sec6\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003eSpecific infection targeting with [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 and its diagnostic potential\\u003c/h2\\u003e\\u003cp\\u003eThe PET/CT analyses of the imaging group, [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 with no co-injection of the cold antibody (n\\u0026thinsp;=\\u0026thinsp;3), showed sensitive and specific bacterial accumulation of the ImmunoPET tracer throughout the study duration (Fig.\\u0026nbsp;3A). The biofilm-infected side (R) exhibited 5.71-, 2.84-, 3.61- and 3.08-fold greater uptake (SUVbw) on days 4, 6, 10 and 13 post-surgery, respectively (Fig.\\u0026nbsp;3C).\\u003c/p\\u003e\\u003cp\\u003eThe PET/CT analyses of the imaging groups, [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 with 300 mg (n\\u0026thinsp;=\\u0026thinsp;3) and 600 mg co-injection (n\\u0026thinsp;=\\u0026thinsp;2) of the cold 4497-antibody, also showed sensitive and specific accumulation of the ImmunoPET tracer throughout the study duration (Fig.\\u0026nbsp;3B-4A). The combination with 300 mg of cold antibody exhibited 2.63-, 4.07-, 2.63- and 2.12-fold greater uptake on days 4, 6, 10 and 13 post-surgery in the biofilm-infected side (R), respectively (Fig.\\u0026nbsp;3D). The combination with 600 mg of cold antibody exhibited 2.17-, 1.62-, 1.62- and 4.21-fold greater uptake on days 4, 6, 10 and 13 post-surgery in the biofilm-infected side (R), respectively (Fig.\\u0026nbsp;4B).\\u003c/p\\u003e\\u003cp\\u003eA detailed overview of mean SUVbw uptake values across all time points is provided in Supplementary table S3.\\u003c/p\\u003e\\u003cp\\u003eAcross all ImmunoPET imaging groups (n\\u0026thinsp;=\\u0026thinsp;8), the mean uptake (SUVbw) of the femur with a biofilm-infected implant (R) was 4.56\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.8, 3.88\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.4, 4.03\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.4 and 5.41\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.8 for postoperative days 4, 6, 10 and 12, respectively. The mean SUVbw of the femur with a sterile implant (L) was much lower with mean uptake values of 1.62\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.9, 1.46\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.0, 1.69\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.6, and 1.97\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.6 for postoperative days 4, 6, 10 and 12, respectively. Thus, a significant difference in uptake was observed between the femur with biofilm-infected implant (R) and the femur with sterile implant (L) on each imaging day, with p-values consistently below 0.001.\\u003c/p\\u003e\\u003c/div\\u003e\\n\\u003ch3\\u003eConventional nuclear imaging techniques lack specificity\\u003c/h3\\u003e\\n\\u003cp\\u003eThe biofilm-infected side (femur with implant) demonstrated uptake of [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP comparable to that of the sterile side (femur with implant) with uptake ratios of 1.07, 1.22, and 1.07 on postoperative imaging days 4 (n\\u0026thinsp;=\\u0026thinsp;3), 10 (n\\u0026thinsp;=\\u0026thinsp;2) and 13 (n\\u0026thinsp;=\\u0026thinsp;2), respectively. (Fig.\\u0026nbsp;5A).\\u003c/p\\u003e\\u003cp\\u003eThe biofilm-infected side (femur with implant) also demonstrated uptake of [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG comparable to that of the sterile side (femur with implant) with uptake ratios of 1.13 and 1.11 on postoperative imaging days 4 (n\\u0026thinsp;=\\u0026thinsp;3) and 10 (n\\u0026thinsp;=\\u0026thinsp;2), respectively (Fig.\\u0026nbsp;5B). However, the sterile side demonstrated a decline in [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG uptake after 13 days post-surgery (n\\u0026thinsp;=\\u0026thinsp;2), resulting in an uptake ratio of 1.78 between the biofilm-infected and sterile sides (Fig.\\u0026nbsp;5B).\\u003c/p\\u003e\\u003cp\\u003eWith [\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF PET imaging, the biofilm-infected side (femur with implant) demonstrated uptake of \\u003csup\\u003e18\\u003c/sup\\u003eF-fluoride ions comparable to that of the sterile side (femur with implant) with uptake ratios of 0.95 and 1.09 on postoperative imaging days 6 (n\\u0026thinsp;=\\u0026thinsp;2) and 12 (n\\u0026thinsp;=\\u0026thinsp;3) respectively (Fig.\\u0026nbsp;6).\\u003c/p\\u003e\\u003cp\\u003eA detailed overview of mean SUVbw uptake values across all time points is provided in Supplementary table S4.\\u003c/p\\u003e\\u003cdiv id=\\\"Sec8\\\" class=\\\"Section2\\\"\\u003e\\u003ch2\\u003eEx vivo biodistribution and the proof-of-principle of cold antibody co-injection\\u003c/h2\\u003e\\u003cp\\u003eAcross all ImmunoPET imaging groups (n\\u0026thinsp;=\\u0026thinsp;8), all femurs with biofilm-infected implants (R) showed an accumulation of 1.27\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.7%ID/gram. The accumulation of all the femurs with sterile implants (L) was 0.35\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;0.2%ID/gram. A significant difference was found in the accumulation between the infected side (R) and the sterile side (L) after 13 days post-surgery of the ImmunoPET tracer (p\\u0026thinsp;=\\u0026thinsp;0.003) (Fig.\\u0026nbsp;7). The ex vivo biodistribution of the excluded [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 animal is shown in Fig. S4.\\u003c/p\\u003e\\u003cp\\u003eGiven the finite number of bacterial epitopes, an increase in systemically available antibodies could lead to full saturation of these epitopes within the infected joint. Consequently, excess 4497-antibody will preferably bind to the biofilm-infected implant in the femur. It is hypothesized that this increase in systemically available antibodies is achieved through the administration of a cold-antibody overdose, which saturates antibody-capturing organs such as the spleen.\\u003c/p\\u003e\\u003cp\\u003eIn the study, co-injection of the cold 4497-antibody resulted in favorable effects on the biodistribution between the articular capsule (Fig. S2) at the infected side (R) and the femur with the biofilm-infected implant (R). The ratio of the mean %ID/gram between these two sites from the same infected side, decreased with the co-injection of the cold 4497-antibody. For the no co-injection, 300 mg co-injection, and 600 mg co-injection imaging groups, the calculated %ID/gram ratios between the articular capsule (R) and femur with biofilm-infected implant (R) were 2.8, 2.5, and 1.9, respectively.\\u003c/p\\u003e\\u003cp\\u003e\\u003cem\\u003eAdditional results, such as infection/sterility validation (Fig. S3, Tables S1 and S2), ex vivo biodistribution (extended) and short-term hematological effect assessment (Fig. S5) are provided in the Supplementary Results.\\u003c/em\\u003e\\u003c/p\\u003e\\u003cp\\u003e\\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e\\u003ccaption language=\\\"En\\\"\\u003e\\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e\\u003cdiv class=\\\"CaptionContent\\\"\\u003e\\u003cp\\u003eMechanism of action of Nuclear Infection and Postoperative Inflammation Imaging for implant-related infections in the first postoperative period.\\u003c/p\\u003e\\u003c/div\\u003e\\u003c/caption\\u003e\\u003ccolgroup cols=\\\"6\\\"\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c5\\\" colnum=\\\"5\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c6\\\" colnum=\\\"6\\\"\\u003e\\u003c/div\\u003e\\u003cthead\\u003e\\u003ctr\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eImaging modality\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eMechanism of action\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eTracer\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003eInfection\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e\\u003cp\\u003ePostoperative inflammation\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u003cp\\u003eReferences\\u003c/p\\u003e\\u003c/th\\u003e\\u003c/tr\\u003e\\u003c/thead\\u003e\\u003ctbody\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003e\\u003cem\\u003eImmunoPET with\\u003c/em\\u003e\\u003c/p\\u003e\\u003cp\\u003e\\u003cem\\u003e[\\u003c/em\\u003e\\u003csup\\u003e\\u003cem\\u003e89\\u003c/em\\u003e\\u003c/sup\\u003e\\u003cem\\u003eZr]-4497\\u003c/em\\u003e\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eSpecific binding to the WTA-glycopolymer present on gram-positive bacteria and its biofilm surface.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eanti-β-GlcNAc\\u003c/p\\u003e\\u003cp\\u003eWTA 4497-antibody\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003eBinding to the WTA-glycopolymer on the bacterial cell wall and surface biofilm.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e\\u003cp\\u003eNo binding expected due to the absence of bacteria and biofilm.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u003cp\\u003e[\\u003cspan citationid=\\\"CR25\\\" class=\\\"CitationRef\\\"\\u003e25\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e]\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003e\\u003cem\\u003eBone scintigraphy ([\\u003c/em\\u003e\\u003csup\\u003e\\u003cem\\u003e99m\\u003c/em\\u003e\\u003c/sup\\u003e\\u003cem\\u003eTc]Tc-MDP SPECT)\\u003c/em\\u003e\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eMPD Binds to the hydroxyapatite crystals, produced by osteoblasts (chemisorption).\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eMethyl-diphosphonate (MDP)\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003eMDP uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following bacterial internalization.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e\\u003cp\\u003eMDP uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following new bone formation.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u003cp\\u003e[\\u003cspan additionalcitationids=\\\"CR34 CR35\\\" citationid=\\\"CR33\\\" class=\\\"CitationRef\\\"\\u003e33\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e]\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003e\\u003cem\\u003e[\\u003c/em\\u003e\\u003csup\\u003e\\u003cem\\u003e18\\u003c/em\\u003e\\u003c/sup\\u003e\\u003cem\\u003eF]FDG PET\\u003c/em\\u003e\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eActivated leucocytes express more GLUT1 and GLUT3 receptors.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eFluorodeoxyglucose (FDG)\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003eFDG uptake is increased in activated leucocytes/macrophages due their response to infection.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e\\u003cp\\u003eFDG uptake in activated leukocytes is increased due to inflammation in tissues, such as during early bone repair.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u003cp\\u003e[\\u003cspan citationid=\\\"CR20\\\" class=\\\"CitationRef\\\"\\u003e20\\u003c/span\\u003e, \\u003cspan additionalcitationids=\\\"CR38 CR39\\\" citationid=\\\"CR37\\\" class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR40\\\" class=\\\"CitationRef\\\"\\u003e40\\u003c/span\\u003e]\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003e\\u003cem\\u003e[\\u003c/em\\u003e\\u003csup\\u003e\\u003cem\\u003e18\\u003c/em\\u003e\\u003c/sup\\u003e\\u003cem\\u003eF]NaF PET\\u003c/em\\u003e\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003e\\u003csup\\u003e18\\u003c/sup\\u003eF-ions exchange with hydroxyl ions of hydroxyapatite crystals which are produced by osteoblasts (chemisorption).\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eNo tracer, \\u003csup\\u003e18\\u003c/sup\\u003eF-NaF will dissociate into Na\\u003csup\\u003e+\\u003c/sup\\u003e and \\u003csup\\u003e18\\u003c/sup\\u003eF-fluoride (F\\u003csup\\u003e\\u0026minus;\\u003c/sup\\u003e) ions.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e\\u003csup\\u003e18\\u003c/sup\\u003eF-ions uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following bacterial internalization.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e\\u003cp\\u003e\\u003csup\\u003e18\\u003c/sup\\u003eF-ions uptake is increased by binding to hydroxyapatite crystals formed due to enhanced osteoblastic activity following new bone formation.\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e\\u003cp\\u003e[\\u003cspan citationid=\\\"CR35\\\" class=\\\"CitationRef\\\"\\u003e35\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e, \\u003cspan additionalcitationids=\\\"CR42\\\" citationid=\\\"CR41\\\" class=\\\"CitationRef\\\"\\u003e41\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR43\\\" class=\\\"CitationRef\\\"\\u003e43\\u003c/span\\u003e]\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003c/tbody\\u003e\\u003c/colgroup\\u003e\\u003c/table\\u003e\\u003c/div\\u003e\\u003c/p\\u003e\\u003c/div\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cp\\u003eDistinguishing between surgical-related inflammation and an infection in the first postoperative days remains a challenge task with today\\u0026rsquo;s diagnostic tools. In the present study, the potential for diagnostic differentiation between inflammation (represented by a sterile implant, L), and a low-grade infection (represented by a biofilm-infected implant, R), in the first 13 postoperative days was evaluated using the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-labeled 4497-antibody (as the novel ImmunoPET tracer) and with conventional nuclear imaging modalities such as [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP-SPECT, [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG-PET, and [\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF-PET.\\u003c/p\\u003e\\u003cp\\u003eThe main issue of implant-associated infections is the presence of biofilm. This biofilm acts as a physical barrier that inhibits full antibiotic penetration and contains diverse types of bacteria such as metabolically inactive bacteria (persister cells) which are tolerant to antibiotics [\\u003cspan citationid=\\\"CR44\\\" class=\\\"CitationRef\\\"\\u003e44\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR45\\\" class=\\\"CitationRef\\\"\\u003e45\\u003c/span\\u003e]. Early detection of an implant-associated infection is favorable and could lower the morbidity and mortality [\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR46\\\" class=\\\"CitationRef\\\"\\u003e46\\u003c/span\\u003e]. The rationale behind the current novel immunoPET tracer lies in utilizing a highly specific antibody that targets bacteria and their biofilms, which also serves as a carrier for positron-emitting radionuclides (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e). In addition, the use of PET imaging is more favorable than SPECT imaging as PET has better image quality and is more suitable for quantification [\\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e]. Throughout the complete study duration, significant more uptake (SUVbw) of the novel immunoPET tracer is observed in the femur with the biofilm-infected implant. Even after 13 days post-surgery, significant more accumulation (%ID/gram) was observed in the femur with a biofilm-infected implant, highlighting the selective targeting capabilities of this novel ImmunoPET tracer with the 4497-antibody.\\u003c/p\\u003e\\u003cp\\u003eIn contrast, due to heightened osteoblastic activity in both the infected and sterile side, increased accumulation of MDP was anticipated (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e). Throughout the complete study duration, the SUVbw ratio between the femur with biofilm-infected implant and femur with sterile implant (resembling a postoperative inflammation) showed comparable uptake values with bone scintigraphy ([\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP SPECT). Likewise, due to increased inflammatory processes in both sides, increased glucose (FDG) uptake was anticipated (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e). [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG PET analysis on day 4 and 10 post-surgery showed equal glucose uptake. Interestingly, the SUVbw on day 13 post-surgery of the femur with implant from the sterile side showed a decrease in uptake and likely reflects the decreased inflammatory response over the post-surgical time. Similarly, [\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF runs into the same differentiating issues as bone scintigraphy (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e). On day 6 and 12 post-surgery, the uptake value was similar for both sides. In conclusion, conventional nuclear imaging techniques are unable to distinguish between post-surgical inflammation and infection in the early postoperative period, whereas the novel immuno-PET tracer demonstrates the ability to make this distinction.\\u003c/p\\u003e\\u003cp\\u003eCFU assessment at the end of the experiment confirmed the presence or absence of infection (Fig. S3). Two animals were excluded from the image analysis due to an infected left (sterile) side. Interestingly, the PET/CT analysis of the [\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497 (600 mg co-injection) imaging group showed uptake of the ImmunoPET tracer at this left \\u0026lsquo;sterile\\u0026rsquo; side beginning on day 6 post-surgery (Fig.\\u0026nbsp;4). This contamination, could also have resulted from a later acquired infection, received in the cage through bacterial shedding from the animals. As such, utilizing ImmunoPET with PET/CT analysis demonstrated satisfactory sensitivity for an early-stage bacterial focus.\\u003c/p\\u003e\\u003cp\\u003eIn this study, no significant changes in WBC, RBC, or hemoglobin levels were observed, suggesting that bone marrow suppression did not occur (Fig. S5). Importantly, when using radiolabeled antibodies in subjects with an infection, maintaining the WBC count is crucial, as this is commonly observed in patients receiving radiolabeled antibodies for therapeutic purposes [\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e]. The thrombocytopenia observed in the present study may be attributed to the surgical intervention in both femoral bones, along with bone marrow infection and \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e bacteremia.\\u003c/p\\u003e\\u003cp\\u003eSeveral animal studies have demonstrated the concept of co-injection of cold antibodies to improve biodistribution [\\u003cspan additionalcitationids=\\\"CR49 CR50\\\" citationid=\\\"CR48\\\" class=\\\"CitationRef\\\"\\u003e48\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e]. Because antibodies transport through convection to inner tissues, organs with loose endothelia (such as the spleen) are prone to accumulate antibodies [\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e]. Previous experience with the application of the radiolabeled antibody in \\u003cem\\u003ein vivo\\u003c/em\\u003e surgical models involving implant infections have demonstrated a complex biodistribution pattern. This complexity arises from the onset of a new infection in the joint leading to an arthritis-induced thickened articular capsule (Fig. S2). Inducing an \\u003cem\\u003ein vivo\\u003c/em\\u003e implant infection may also lead to infection of the wound and joint, resulting in the formation of additional target sites for the immunoPET tracer beyond the femur with the biofilm-infected implant, which are more accessible to the ImmunoPET tracer.\\u003c/p\\u003e\\u003cp\\u003eThe hypothesis related to the co-injections with cold antibody was that saturating FcR-expressing cells in the spleen through co-injection of the cold 4497-antibody would subsequently increase systemic availability [\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e]. The ratio between the infected articular capsule (R) and the femur with biofilm-infected implant (R) decreases with the use of the cold 4497-antibody, suggesting that co-injection indeed enhances systemic availability. However, the use of co-injection should be performed with caution as this could also result in epitope blocking for the radiolabeled 4497-antibody. Leading to a situation where the radiolabeled antibody competes with the unlabeled antibody [\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e]. A potential effect of competition could be observed in the shift of greatest proportional difference in SUVbw between the femur with biofilm-infected implant and femur with sterile implant. The largest uptake difference between infected side (R) and sterile side (inflamed, L) occurred on day 4 post-surgery in the ImmunoPET group without cold 4497-antibody (ratio of 5.71, Fig.\\u0026nbsp;3C). In contrast, the peak SUVbw ratio shifted to day 6 (4.07, Fig.\\u0026nbsp;3D) and day 13 (4.21, Fig.\\u0026nbsp;4) for the 300 mg and 600 mg co-injection groups, respectively. This shift may result from delayed binding to the biofilm-infected implant due to competition with the co-injected cold-antibody. In a clinical scenario, it is questionable whether adding cold antibodies is necessary. Future human studies should assess the target-to-background ratio and evaluate the need for cold antibody co-injection to enhance delivery of the 4497-antibody.\\u003c/p\\u003e\\u003cp\\u003eAnother way to strengthen future experimental animal studies is by using a study design that includes both the novel ImmunoPET tracer and [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP SPECT-radiotracer within the same imaging group. This would eliminate confounding factors such as intra-animal variability, differences in administered doses, and environmental conditions.\\u003c/p\\u003e\\u003cp\\u003eThe use of radiolabeled antibodies as ImmunoPET tracers for implant-associated infections has been previously explored. Earlier studies have evaluated similar approaches using Zirconium 89 labeled antibodies, including the 1D9-antibody targeting the IsaA antigen and the SAC55-antibody targeting lipoteichoic acid [\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e]. However, all these experiments lack an \\u003cem\\u003ein vivo\\u003c/em\\u003e animal model with an intra-animal-controlled design in combination with the complexity of biofilm. Our current study design allows us to evaluate the diagnostic capability in combination with an approach which effectively mimics the characteristics of biofilm-associated infections (a low-grade infection), such as phagocytosis inhibition, chronicity, and low metabolic activity [\\u003cspan additionalcitationids=\\\"CR58 CR59\\\" citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e].\\u003c/p\\u003e\"},{\"header\":\"Conclusion\",\"content\":\"\\u003cp\\u003eThis biofilm-associated implant infection model, which also resembles a challenging surgical scenario, demonstrated specific and sensitive uptake of the novel ImmunoPET tracer at the infected side throughout the study, performing much better than all the conventional nuclear imaging modalities. Consequently, the introduced ImmunoPET tracer, consisting of Zirconium-89 radiolabeled 4497 antibody targeting wall teichoic acid, represents a highly promising nuclear imaging modality for the diagnosis of a low-grade implant infection in the critical early postoperative period and for the accurate differentiation between aseptic and septic implant loosening. Early differentiation of implant infection from inflammation would enable timely treatment decisions after surgery, potentially leading to improved outcomes in surgical infection treatments. However, before clinical introduction of the proposed ImmunoPET tracer, the versatility of this imaging modality should be further investigated with \\u003cem\\u003ein vivo\\u003c/em\\u003e studies using various types of pathogens such as e.g. gram-negative bacteria or polymicrobial infections.\\u003c/p\\u003e\"},{\"header\":\"Abbreviations\",\"content\":\"\\u003cp\\u003e[\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG 2-deoxy-2-[¹⁸F]fluoro-D-glucose\\u003c/p\\u003e\\n\\u003cp\\u003e[\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF Sodium fluoride-18\\u003c/p\\u003e\\n\\u003cp\\u003e4497-antibody\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Mut (H+Y) HuIgG1-anti-Wall Techoic Acid-4497 antibody\\u003c/p\\u003e\\n\\u003cp\\u003e[\\u003csup\\u003e89\\u003c/sup\\u003eZr]-4497\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u0026nbsp;The 4497-antibody labeled with Zirconium-89\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e[\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP Technetium-99m labeled methylene disphosphonate\\u003c/p\\u003e\\n\\u003cp\\u003eCFU\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Colony forming units\\u003c/p\\u003e\\n\\u003cp\\u003eHE-UHR-RM\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;High-energy Ultra High-Resolution Rat Mouse\\u003c/p\\u003e\\n\\u003cp\\u003eIgG1\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u0026nbsp;Immunoglobulin G subclass 1\\u003c/p\\u003e\\n\\u003cp\\u003eImmunoPET\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Immuno-positron emission tomography\\u003c/p\\u003e\\n\\u003cp\\u003eOD\\u003csub\\u003e600\\u003c/sub\\u003e\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u0026nbsp;Optical Density at 600 nanometers.\\u003c/p\\u003e\\n\\u003cp\\u003ePET/CT\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Positron Emission Tomography / Computed Tomography\\u003c/p\\u003e\\n\\u003cp\\u003eRBC\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Red blood cell\\u003c/p\\u003e\\n\\u003cp\\u003eSPECT/CT\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Single Photon Emission Computed Tomography / Computed Tomography\\u003c/p\\u003e\\n\\u003cp\\u003eSUVbw\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;\\u0026nbsp;Standardized Uptake Value (SUV) normalized to body weight (bw)\\u003c/p\\u003e\\n\\u003cp\\u003eTSB\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Tryptic Soy Broth\\u003c/p\\u003e\\n\\u003cp\\u003eWTA\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;Wall Teichoic Acid\\u003c/p\\u003e\\n\\u003cp\\u003eWBC\\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp;White Blood Cell\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e%ID \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; \\u0026nbsp; Percentage Injected Dose\\u0026nbsp;\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eEthics approval and consent to participate\\u003c/strong\\u003e\\u003cp\\u003eAll applicable international, national, and institutional guidelines for the care and use of animals, as well as the relevant application of the described methods, were followed. All animal procedures were conducted in accordance with protocols approved by the Animal Research Ethics Board of the University of Saskatchewan, Canada (protocol AUP20230035).\\u003c/p\\u003e\\u003c/p\\u003e\\u003cp\\u003e\\u003cstrong\\u003eConsent for publication\\u003c/strong\\u003e\\u003cp\\u003eNot applicable.\\u003c/p\\u003e\\u003c/p\\u003e\\u003cp\\u003e\\u003ch2\\u003eCompeting interests\\u003c/h2\\u003e\\u003cp\\u003eThe 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.\\u003c/p\\u003e\\u003c/p\\u003e\\u003ch2\\u003eFunding\\u003c/h2\\u003e\\u003cp\\u003eThis publication is part of a collaboration between University Medical Center Utrecht and the University of Saskatchewan. This project is funded by DARTBAC (with project number NWA.1292.19.354) of the research program NWA-ORC financed by the Dutch Research Council (NWO).\\u003c/p\\u003e\\u003ch2\\u003eAuthor Contributions\\u003c/h2\\u003e\\u003cp\\u003eFRHAN conceived the study, led and conducted the experiments, performed data visualization, and wrote the manuscript. KJHA, MEM, and CF conducted experiments, contributed to data visualization, and assisted in writing. JFFH, BW, AP, MGEHL, JAGS, and HCV were involved in study conceptualization, experimental design, and manuscript development. BCHW, ED, and HW provided oversight in study design, secured funding, supervised the project, and contributed to manuscript review and revision.\\u003c/p\\u003e\\u003ch2\\u003eAcknowledgements\\u003c/h2\\u003e\\u003cp\\u003eThe authors declare that they have no acknowledgments to report.\\u003c/p\\u003e\\u003ch2\\u003eAvailability of data and material\\u003c/h2\\u003e\\u003cp\\u003eAll data are available in the main text or the supplementary materials. Raw data or image files supporting the findings of this study are available from the corresponding author upon reasonable request\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\u003cli\\u003e\\u003cspan\\u003eVrancianu CO, Serban B, Gheorghe-Barbu I, Czobor Barbu I, Cristian RE, Chifiriuc MC et al. The Challenge of Periprosthetic Joint Infection Diagnosis: From Current Methods to Emerging Biomarkers. Int J Mol Sci. Multidisciplinary Digital Publishing Institute (MDPI); 2023.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eSignore A, Sconfienza LM, Borens O, Glaudemans AWJM, Cassar-Pullicino V, Trampuz A, et al. Consensus document for the diagnosis of prosthetic joint infections: a joint paper by the EANM, EBJIS, and ESR (with ESCMID endorsement). Eur J Nucl Med Mol Imaging. 2019;46:971\\u0026ndash;88.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eUvodich ME, Dugdale EM, Osmon DR, Pagnano MW, Berry DJ, Abdel MP. The effectiveness of laboratory tests to predict early postoperative periprosthetic infection after total knee arthroplasty. Bone Joint J. 2021;103:177\\u0026ndash;84.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eSukhonthamarn K, Tan TL, Xu C, Kuo FC, Lee MS, Citak M, et al. Determining Diagnostic Thresholds for Acute Postoperative Periprosthetic Joint Infection. 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Available from: \\u003cspan class=\\\"ExternalRef\\\"\\u003e\\u003cspan class=\\\"RefSource\\\"\\u003ehttp://dx.doi.org/10.1038/s41413-018-0014-y\\u003c/span\\u003e\\u003cspan address=\\\"10.1038/s41413-018-0014-y\\\" targettype=\\\"DOI\\\" class=\\\"RefTarget\\\"\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eCiofu O, Moser C, Jensen P\\u0026Oslash;, H\\u0026oslash;iby N. Tolerance and resistance of microbial biofilms. Nat Rev Microbiol Nat Res; 2022. pp. 621\\u0026ndash;35.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eSeebach E, Kubatzky KF. Chronic Implant-Related Bone Infections-Can Immune Modulation be a Therapeutic Strategy? Front Immunol. NLM (Medline); 2019. p. 1724.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eGatti M, Barnini S, Guarracino F, Parisio EM, Spinicci M, Viaggi B et al. Orthopaedic Implant-Associated Staphylococcal Infections: A Critical Reappraisal of Unmet Clinical Needs Associated with the Implementation of the Best Antibiotic Choice. Antibiotics. 2022;11.\\u003c/span\\u003e\\u003c/li\\u003e\\u003cli\\u003e\\u003cspan\\u003eCrabb\\u0026eacute; A, Jensen P\\u0026Oslash;, Bjarnsholt T, Coenye T. Antimicrobial Tolerance and Metabolic Adaptations in Microbial Biofilms. Trends Microbiol. Elsevier Ltd; 2019. pp. 850\\u0026ndash;63.\\u003c/span\\u003e\\u003c/li\\u003e\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":true,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":true,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"ejnmmi-research\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"ejre\",\"sideBox\":\"Learn more about [EJNMMI Research](http://ejnmmires.springeropen.com/)\",\"snPcode\":\"\",\"submissionUrl\":\"https://www.editorialmanager.com/ejre/default.aspx\",\"title\":\"EJNMMI Research\",\"twitterHandle\":\"@officialEANM\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"em\",\"reportingPortfolio\":\"BMC/SO AJ\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true},\"keywords\":\"ImmunoPET, Preclinical infection Imaging, Biofilm-associated Implant infections, Biofilm detection, Postoperative Diagnosis\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-7499139/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-7499139/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003ch2\\u003eBackground\\u003c/h2\\u003e\\u003cp\\u003eEarly postoperative implant infections are difficult to diagnose due to overlapping symptoms with inflammation. However, prompt surgical intervention for an implant infection can prevent the need for repeated surgeries and improve the overall success of the treatment and preserving the implant. The primary objective of this study was to assess the sensitivity and specificity of a novel immuno-PET radiotracer for detecting \\u003cem\\u003eStaphylococcus aureus\\u003c/em\\u003e bacteria and their biofilms in a preclinical rat model\\u003c/p\\u003e\\u003ch2\\u003eResults\\u003c/h2\\u003e\\u003cp\\u003eAn antibody against wall teichoic acid a common surface component of S. aureus, was labeled with Zirconium-89- as the PET tracer. Wistar Han rats underwent surgery with a S. aureus-related biofilm-infected femoral implant on one side and a sterile femoral implant on the contralateral side. The diagnostic efficacy of this imaging modality was compared with clinically established nuclear imaging techniques for implant infections, including [\\u003csup\\u003e99m\\u003c/sup\\u003eTc]Tc-MDP SPECT/CT, [\\u003csup\\u003e18\\u003c/sup\\u003eF]FDG PET/CT, and [\\u003csup\\u003e18\\u003c/sup\\u003eF]NaF PET/CT. Furthermore, co-injection of unlabeled (\\\"cold\\\") antibodies was performed to evaluate their impact on biodistribution. All animals with a biofilm-associated femoral implant infection showed significantly higher uptake of the novel ImmunoPET tracer in the infected side compared to the sterile side throughout the 13-day postoperative study duration. A dose-dependent increase in tracer accumulation was observed with co-injection of cold antibody, suggesting its potential to improve biodistribution.\\u003c/p\\u003e\\u003ch2\\u003eConclusions\\u003c/h2\\u003e\\u003cp\\u003eImmunoPET with Zirconium-89-labeled antibodies specific for wall teichoic acid antigen demonstrates sensitive and specific diagnostic capabilities compared to conventional nuclear imaging modalities, offering a promising tool for early detection of postoperative chronic low-grade infections and septic implant loosening.\\u003c/p\\u003e\",\"manuscriptTitle\":\"ImmunoPET with Zirconium-89 specifically detects postoperative biofilm-associated implant infections. 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