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Trained immunity in inflammatory bone disease: a bibliometric and literature-level text-mining analysis
Zihang Zhao1,2, Zihan Liu1,2, Liang Guo1,2
1Department of Orthopaedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang, China.
Frontiers in Immunology
|June 5, 2026
Summary
Trained immunity research in inflammatory bone disease is growing, linking myeloid cell reprogramming and metabolic changes to conditions like periodontitis. This overview guides future studies in this emerging field.
Area of Science:
- Osteoimmunology
- Immunology
- Genetics and Genomics
Background:
- Trained immunity describes persistent innate immune reprogramming in chronic inflammatory disorders.
- Its role in osteoimmunology and inflammatory bone disease is not well understood.
Purpose of the Study:
- To perform a bibliometric and text-mining analysis of trained immunity in inflammatory bone disease.
- To identify key research patterns and emerging themes in this field.
Main Methods:
- Bibliometric analysis using WoSCC, Scopus, and PubMed (2013-2025).
- Literature-level text-mining, including topic modeling and semantic screening.
- Disease-context analysis and bridge-network mapping.
Main Results:
- Publication output increased, peaking in 2025, with consistent trends across databases.
- Periodontitis was the most frequent disease context, followed by osteoarthritis, ankylosing spondylitis, osteoporosis, and inflammatory arthritis.
- Key themes included myeloid-cell reprogramming, epigenetic/metabolic remodeling, innate immune signaling, and osteoclast pathways.
Conclusions:
- Research on trained immunity in inflammatory bone disease is expanding.
- Consistent links exist between trained immunity concepts, myeloid reprogramming, immunometabolism, periodontitis, and bone remodeling.
- This structured overview can guide future mechanistic, experimental, and translational research.
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