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Review uncovers neuro-immune mechanisms driving pain convergence in osteoarthritis, highlighting novel multimodal targets beyond structural joint damage.
The poor correlation between structural damage and pain severity in osteoarthritis remains a major clinical paradox, suggesting that purely structural or inflammatory explanations are insufficient. In this review, we propose the Pain Convergence Model, a hypothesis-generating framework in which biomechanical stress, cellular senescence, and metabolic inflammation converge at the neuro-immune interface to amplify pain signals. This model supports three therapeutic strategies: targeting systemic pathological drivers, modulating the neuro-immune interface, and addressing central sensitization. Translating this framework into clinical practice will require validated biomarkers for patient stratification and mechanism-oriented trial designs, although the model currently awaits experimental validation.
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Zheng et al. (2026) studied this question.
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