Spatial Multi-Omics Advances in Osteoarthritis: From Molecular Landscapes to Precision Medicine

Abstract

Osteoarthritis (OA) is a pervasive, multifactorial joint disorder with an escalating global prevalence, yet it remains without effective disease-modifying therapies. Current research and clinical management are hindered by a reliance on traditional bulk-omics and imaging modalities that fail to capture the profound molecular and cellular heterogeneity of the disease. While bulk-omics provides a comprehensive but averaged view, it homogenizes complex tissue microenvironments, losing critical information about cell-cell interactions and niche-specific pathogenic pathways. This review posits that the emerging field of spatial multi-omics represents a paradigm shift, transcending the limitations of previous approaches by integrating molecular profiling with native tissue context. By simultaneously mapping the transcriptome, proteome, metabolome, and other molecular layers in a spatially resolved manner, this framework can deconstruct the intricate cellular architecture of the osteoarthritic joint. This capability offers unprecedented opportunities for precision diagnostics, enabling the discovery of novel biomarkers and the molecularly precise definition of disease endotypes. The capacity to pinpoint microenvironment-specific pathways also provides a powerful foundation for the development of personalized, next-generation therapeutics that target the root cause of disease, not just its symptoms. The analysis presented here delineates the technologies, applications, and challenges of this transformative field, underscoring its potential to revolutionize OA research and pave the way for a new era of precision care.