The 2023 Orthopedic Research Society's international consensus meeting on musculoskeletal infection: Summary from the in vitro section

Hickok, Noreen J.; Li, Bingyun; Oral, Ebru; Zaat, Sebastian A. J.; Armbruster, David A.; Atkins, Gerald J.; Chen, Antonia F.; Coraça‐Huber, Débora C.; Dai, Tianhong; Greenfield, Edward M.; Kasinath, Rajendra; Libera, Matthew; Marques, Cláudia N. H.; Moriarty, T. Fintan; Scott Phillips, K.; Raghuraman, Kapil; Ren, Dacheng; Rimondini, Lia; Saeed, Kordo; Schaer, Thomas P.; Schwarz, Edward M.; Spiegel, Christopher; Stoodley, Paul; Truong, Vi Khanh; Tsang, Shao‐Ting Jerry; Wildemann, Britt; Zelmer, Anja R.; Zinkernagel, Annelies S.

doi:10.1002/jor.25774

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…Bacterial contamination of the prosthetic components often occurs during their implantation. Despite the wide acceptance of the seminal concept of 'race for the surface' between the bacteria and host, recent findings indicate that the severity of the resulting infection largely depends on the bacterial strain, bacterial load, and the environment [42][43][44][45][46][47]. In our study, the ATCC 12600 strain was selected to simulate an infection that is susceptible to commonly used antibiotics (low risk) in the clinic.…”

Section: Discussionmentioning

confidence: 99%

Investigating the translational value of Periprosthetic Joint Infection (PJI) models to determine the risk and severity of Staphylococcal biofilms

Sekar,

Fan,

Tierney

et al. 2024

Preprint

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With the advent of antibiotic-eluting polymeric materials for targeting recalcitrant infections, using preclinical models to study biofilm is crucial for improving the treatment efficacy in periprosthetic joint infections. The stratification of risk and severity of infections is needed to develop an effective clinical dosing framework with better outcomes. Here, using in-vivo and in-vitro implant-associated infection models, we demonstrate that methicillin-sensitive and resistant Staphylococcus aureus (MSSA and MRSA) have model-dependent distinct implant and peri-implant tissue colonization patterns. The maturity of biofilms and the location (implant vs tissue) were found to influence the antibiotic susceptibility evolution profiles of MSSA and MRSA, and the models were able to capture the differing host-microbe interactions in vivo. Gene expression studies revealed the molecular heterogeneity of colonizing bacterial populations. The comparison and stratification of the risk and severity of infection across different preclinical models provided in this study can aid in guiding clinical dosing to effectively prevent or treat PJI.

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Section: Discussionmentioning

confidence: 99%

Investigating the translational value of Periprosthetic Joint Infection (PJI) models to determine the risk and severity of Staphylococcal biofilms

Sekar,

Fan,

Tierney

et al. 2024

Preprint

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“…To contribute, the Orthopedic Research Society (ORS) has organized International Consensus Meetings (ICMs) covering all aspects of musculoskeletal infections in 2018 and 2023, with the aim of documenting expert opinion and defining research priorities. [18][19][20][21][22] In addition, the Host Immunity Section of 2023 ORS ICM identified 45 diagnostic questions to render examination more discriminant and robust. However, some of the questions addressing the effect of implant material and possible biophysical interactions were not answered due to limited resources.…”

mentioning

confidence: 99%

Mechanobiology of bacterial biofilms: Implications for orthopedic infection

Blondel,

Machet,

Wildemann

et al. 2024

Journal Orthopaedic Research

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Postoperative bacterial infections are prevalent complications in both human and veterinary orthopedic surgery, particularly when a biofilm develops. These infections often result in delayed healing, early revision, permanent functional loss, and, in severe cases, amputation. The diagnosis and treatment pose significant challenges, and bacterial biofilm further amplifies the therapeutic difficulty as it confers protection against the host immune system and against antibiotics which are usually administered as a first‐line therapeutic option. However, the inappropriate use of antibiotics has led to the emergence of numerous multidrug‐resistant organisms, which largely compromise the already imperfect treatment efficiency. In this context, the study of bacterial biofilm formation allows to better target antibiotic use and to evaluate alternative therapeutic strategies. Exploration of the roles played by mechanical factors on biofilm development is of particular interest, especially because cartilage and bone tissues are reactive environments that are subjected to mechanical load. This review delves into the current landscape of biofilm mechanobiology, exploring the role of mechanical factors on biofilm development through a multiscale prism starting from bacterial microscopic scale to reach biofilm mesoscopic size and finally the macroscopic scale of the fracture site or bone–implant interface.

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Study on the value of second‐generation sequencing technology in the clinical diagnosis of osteoarticular brucellosis

Yao,

Zhao,

Wang

et al. 2024

Journal Orthopaedic Research

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To assess the value of next‐generation sequencing (NGS) technology in the diagnosis of osteoarticular brucellosis pathogenesis. Fifty eight patients admitted to the Department of Orthopaedics, Hebei Provincial Chest Hospital from January 2021 to January 2023 were retrospectively analyzed, and the patients were classified into 48 cases in the osteoarticular brucellosis group and 10 cases in the nonosteoarticular brucellosis group according to the final clinical diagnosis. All patients underwent serum agglutination test (SAT), CT‐guided puncture or surgical sampling of lesions for bacteriological culture and NGS after admission. The diagnostic efficacy of these three methods for osteoarticular brucellosis was compared using the final clinical diagnosis as the reference standard. Among the 58 patients with suspected osteoarticular brucellosis, 40 cases (68.97%) were positive by NGS, 33 cases (56.89%) by SAT and 10 cases (17.24%) by culture, and the differences were statistically significant (p < 0.05). Using the final clinical diagnosis as a criterion, the sensitivity of NGS, SAT, and culture for the detection of osteoarticular brucellosis was 83.33%, 62.50%, and 20.83%, respectively, the specificity was 100.00%, 70.00%, and 100.00%, the diagnostic accuracy was 86.20%, 63.79%, and 34.49%, and the κ values were 0.799, 0.590, and 0.504, respectively. NGS has a high pathogen detection rate and sensitivity in the pathogenetic diagnosis of patients with osteoarticular brucellosis and can provide clinical guidance for the diagnosis and management of patients with osteoarticular brucellosis.

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The 2023 Orthopedic Research Society's international consensus meeting on musculoskeletal infection: Summary from the in vitro section

Cited by 9 publications

References 22 publications

Investigating the translational value of Periprosthetic Joint Infection (PJI) models to determine the risk and severity of Staphylococcal biofilms

Investigating the translational value of Periprosthetic Joint Infection (PJI) models to determine the risk and severity of Staphylococcal biofilms

Mechanobiology of bacterial biofilms: Implications for orthopedic infection

Study on the value of second‐generation sequencing technology in the clinical diagnosis of osteoarticular brucellosis

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