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Usage Information

Combination treatment with anti-RANKL and antibiotics for preventing joint destruction in septic arthritis
Zhicheng Hu, Meghshree Deshmukh, Anders Jarneborn, Miriam Bollmann, Carmen Corciulo, Pradeep Kumar Kopparapu, Abukar Ali, Mattias N. D. Svensson, Cecilia Engdahl, Rille Pullerits, Majd Mohammad, Tao Jin
Zhicheng Hu, Meghshree Deshmukh, Anders Jarneborn, Miriam Bollmann, Carmen Corciulo, Pradeep Kumar Kopparapu, Abukar Ali, Mattias N. D. Svensson, Cecilia Engdahl, Rille Pullerits, Majd Mohammad, Tao Jin
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Research Article Bone biology Infectious disease

Combination treatment with anti-RANKL and antibiotics for preventing joint destruction in septic arthritis

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Abstract

Septic arthritis, the most severe joint disease, is frequently caused by Staphylococcus aureus (S. aureus). A substantial proportion of patients with septic arthritis experience poor joint outcomes, often necessitating joint replacement surgery. Here, we show that monocyte depletion confers full protection against bone erosion in a septic arthritis mouse model. In the infected synovium, Ly6Chi monocytes exhibited increased expression of osteoclastogenesis-related molecules, including CCR2, c-Fms, and RANK. S. aureus lipoproteins induced elevated levels of RANKL, MCSF, and CCL2 in joints, with synovial fibroblasts identified as the major RANKL producer. Anti-RANKL treatment prevented bone destruction in both local and hematogenous septic arthritis murine models. Importantly, combining anti-RANKL treatment with antibiotics provided robust protection against joint damage. Our results indicate that the infiltration and transformation of monocytes into bone-destructive, osteoclast-like cells are key mechanisms in septic arthritis. Combining anti-RANKL and antibiotic therapy represents a promising therapy against this devastating disease.

Authors

Zhicheng Hu, Meghshree Deshmukh, Anders Jarneborn, Miriam Bollmann, Carmen Corciulo, Pradeep Kumar Kopparapu, Abukar Ali, Mattias N. D. Svensson, Cecilia Engdahl, Rille Pullerits, Majd Mohammad, Tao Jin

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 2,218 243
PDF 326 78
Figure 763 0
Supplemental data 203 7
Citation downloads 249 0
Totals 3,759 328
Total Views 4,087

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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