Advances in Necrotizing Fasciitis Animal Models: Current Trends and Future Perspectives

坏死性筋膜炎动物模型的研究进展:当前趋势与未来展望

阅读:2

Abstract

Necrotizing fasciitis (NF) is a rapidly progressive soft tissue infection with high morbidity and mortality, yet its pathophysiology remains incompletely understood. Animal models are indispensable for dissecting disease mechanisms and testing therapeutic interventions, yet their translational relevance varies across species and experimental approaches. This review critically evaluates NF models in rodents, zebrafish, rabbits, pigs, and non-human primates, highlighting their relative strengths in replicating immunopathology, systemic dissemination, and biofilm-driven persistence. We examine methodological strategies including bacterial inoculation, trauma-induced infection, immunosuppression-enhanced infection, genetic engineering, and optical imaging, and discuss how these frameworks capture discrete aspects of NF pathogenesis. Emerging technologies, including CRISPR-mediated host factor engineering, multi-omics profiling, intravital and high-resolution imaging, organ-on-chip platforms, and artificial intelligence, are integrated into next-generation models to enhance predictive power, mechanistic insight, and translational fidelity. We also outline innovative therapeutic strategies validated in preclinical models, from precision-targeted monoclonal antibodies and immunotherapies to advanced drug delivery systems and AI-guided predictive modeling. Finally, we discuss practical and ethical considerations for NF modeling, emphasizing reproducibility, standardization, and the 3Rs principle, and propose a forward-looking framework for integrating in vivo, in vitro, and in silico platforms. Collectively, these insights provide a roadmap for refining NF animal models, accelerating mechanistic discovery, and informing clinically relevant interventions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。