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Following a "mechanism-technology-translation" framework and focusing on high-quality studies published between 2023 and 2025, this review critically synthesizes representative findings on network-level remodeling in central sensitization, the neuroimmune axis, energy metabolism and mitochondrial homeostasis, epigenetic reprogramming, and clinical translation in chronic pain. The onset and maintenance of chronic pain involve multi-level coupling among neurons, glial cells, the immune system, and epigenetic regulatory mechanisms. The core pathological feature can be characterized as the deviation of pain-regulatory networks from their normal functional range across molecular, cellular, and circuit levels, resulting in a self-sustaining abnormal steady state-termed "network homeostasis imbalance. " Major bottlenecks include the absence of integrative network-level pathological models, systematic discrepancies between animal models and clinical phenotypes, insufficient cross-cohort reproducibility of biomarkers, and inadequate translational pathways from basic discoveries to clinical validation. Chronic pain research and management need to shift from a "single-target, single-pathway" paradigm toward network-level systems analysis. Establishing actionable linkages among mechanistic analysis, technological validation, and clinical implementation is key to advancing chronic pain management from empirical analgesia toward precision intervention.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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