Highlights
• Recent advancements in multi-omics approaches to small extracellular vesicles (sEV) have provided new insights into osteoarthritis (OA) pathogenesis, revealing potential molecular targets for therapeutic intervention.
• The integration of transcriptomics, proteomics, metabolomics, and lipidomics has enabled a comprehensive understanding of sEV cargo, identifying key biomarkers and potential diagnostic tools for early OA detection.
• Multi-omics findings have facilitated the development of engineered sEV for therapeutic use, enhancing cartilage regeneration and offering new approaches for personalized OA treatment.
• Overcoming challenges related to sEV heterogeneity, isolation standardization, and clinical translation is crucial for realizing the full potential of sEV-based diagnostics and therapeutics in OA management.
• Future advances, such as single-vesicle multi-omics and artificial intelligence-driven data integration, are poised to revolutionize our understanding and treatment of OA, paving the way for personalized and precision medicine approaches.
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