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Editorial: Immune insights into orthopedic infections: mechanisms, biomarkers, and prevention

Year: 2026
Type: editorial
Abstract: In this context, the Research Topic "Immune Insights into Orthopedic Infections: Mechanisms, Biomarkers, and Prevention" was conceived to advance understanding of the immune pathways that shape susceptibility, progression, and outcomes in orthopedic infections; to identify reliable biomarkers for early detection and prognosis; and to promote innovative approaches-including immunomodulatory biomaterials and computational methodologies-that may enhance host defense and ultimately improve clinical care. The contributions collected here collectively expand our knowledge of how immune mechanisms influence musculoskeletal health and how these insights can be translated into more precise and effective interventions.A series of articles focus on the role of inflammatory biomarkers as tools for refining diagnosis and risk stratification. Tang S et al. examine the predictive value of the preoperative C-reactive protein (CRP)-to-albumin ratio and suggest that this simple inflammatory index may help identify patients at heightened risk of developing surgical site infections after kyphoplasty. Their findings align with the growing interest in using immune-derived laboratory parameters to anticipate postoperative complications. In a complementary study, Liu X et al. explore the combined diagnostic utility of CRP and procalcitonin in fracture-related infections, demonstrating that the integration of markers reflecting different inflammatory pathways may yield greater diagnostic and prognostic accuracy than single biomarkers alone. The real-world clinical complexity of infection is further illustrated by Qu C et al., who investigate culture-negative postoperative infections following percutaneous endoscopic decompression. Their analysis underscores how, in the absence of microbial confirmation, the interpretation of immune-inflammatory indicators and a careful clinical appraisal become fundamental to guide management decisions. Taken together, these contributions highlight how immune-based biomarkers are increasingly central to the early identification and understanding of orthopedic infections.A second line of work within the Topic addresses how therapeutic interventions can modulate the immune microenvironment. Chang S et al. illustrate how vacuum sealing drainage, traditionally viewed as a mechanical strategy for infection control, also influences inflammatory profiles and tissue repair dynamics, ultimately contributing to improved outcomes in secondary bone infections. Their findings reinforce the concept that therapies acting on the local environment inevitably interact with immune pathways. In a broader and more forward-looking perspective, Wang H et al . review the expanding landscape of immunomodulatory biomaterials engineered to resist bacterial colonization while shaping host immune responses and promoting osteogenesis. These innovative materials represent a shift toward implant technologies that do not merely tolerate the host environment but actively engage with it to reduce infection risk and improve integration. An additional and distinctive contribution is offered by Liu B et al., who develop an explainable machine-learning model to predict fragility fractures in people living with HIV. Although not focused specifically on orthopedic infections, their work offers valuable insights into how chronic immune dysregulation-characteristic of HIV infection-can compromise bone integrity. By integrating clinical variables into an accessible, explainable web platform, the authors show how artificial intelligence can complement immunological assessments and support personalized risk prediction in populations with altered immune status. Their approach illustrates the potential for data-driven tools to interact with immune-related factors and enrich future strategies in orthopedic medicine.Finally, Zhang L et al. provide a bibliometric overview of research trends in prosthetic joint infections over the past decade, revealing a sustained emphasis on biofilm biology, antimicrobial resistance, and diagnostic innovation. Their analysis reflects a field steadily evolving toward integrated, immunecentered approaches that recognize the central role of host-pathogen interactions.When considered collectively, these seven contributions offer a coherent narrative in which immunity emerges as a unifying thread across diagnostic, therapeutic, biomaterial, and predictive domains. They demonstrate how inflammation-based biomarkers can refine diagnostic precision, how therapies interact with the immune microenvironment, how innovative biomaterials may prevent infection through combined antimicrobial and immunomodulatory mechanisms, and how machine learning can enhance risk assessment in patients with immune dysfunction. The Topic further illustrates that meaningful progress in addressing orthopedic infections now requires close collaboration among clinicians, immunologists, microbiologists, bioengineers, and computational scientists. Looking ahead, further validation of emerging biomarkers, deeper characterization of immune responses in bone and implant-associated infections, development of dual-function biomaterials, and responsible integration of artificial intelligence into clinical practice will be essential steps toward a more predictive, preventive, and personalized approach to musculoskeletal infection.In summary, the Research Topic "Immune Insights into Orthopedic Infections: Mechanisms, Biomarkers, and Prevention" provides a timely and comprehensive examination of the immunological foundations of orthopedic infection and bone fragility. By bridging basic immunology, clinical investigation, biomaterials innovation, and computational modeling, the Topic highlights both the complexity of the challenges ahead and the promise of multidisciplinary solutions. We anticipate that these contributions will stimulate further research, strengthen collaboration across diverse scientific fields, and support the development of increasingly effective strategies for preventing and managing orthopedic infections.
Language: English
Subfield: Surgery
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7124275261
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