代谢失衡–心血管疾病的中西医协同干预研究进展——从能量代谢重编程到心血管保护

Research Advances in Integrated Traditional Chinese and Western Medicine Interventions for Metabolic Imbalance and Cardiovascular Diseases—From Energy Metabolic Reprogramming to Cardiovascular Protection

摘要: 代谢失衡与心血管疾病的密切关联已成为全球公共卫生领域的重大挑战，传统单一干预模式在应对复杂代谢紊乱机制时面临显著局限性。本综述系统阐述了代谢紊乱通过能量代谢重编程驱动心血管疾病的核心机制，重点关注脂肪酸氧化失衡、线粒体功能障碍及其引发的氧化应激等病理过程。揭示中西医协同干预的创新价值：现代医学提供精准的代谢调控靶点，而中医药则发挥多组分、多靶点的整体调节优势。通过整合人工智能与多组学技术，研究构建新型生物标志物预测模型，将深入解析中西医协同的作用网络。临床研究数据证实，中西医结合治疗可显著改善心血管事件预后，降低糖尿病转化风险。未来研究需要进一步阐明代谢调控的分子机制，建立基于多维度数据的精准防控体系，推动中西医协同治疗从经验医学向循证医学的范式转变。

Abstract: The close association between metabolic imbalance and cardiovascular diseases has emerged as a major global public health challenge, with conventional single-intervention approaches demonstrating significant limitations in addressing complex metabolic dysregulation mechanisms. This review systematically elaborates on the core mechanisms through which metabolic disorders drive cardiovascular diseases via energy metabolic reprogramming, with particular focus on pathological processes including fatty acid oxidation imbalance, mitochondrial dysfunction, and consequent oxidative stress. The study reveals the innovative value of integrated traditional Chinese and Western medicine interventions: while modern medicine provides precise metabolic regulation targets, traditional Chinese medicine exerts comprehensive regulatory advantages through multi-component, multi-target approaches. By integrating artificial intelligence and multi-omics technologies, the research has established novel biomarker prediction models, providing in-depth analysis of the synergistic networks in integrated medicine. Clinical research data confirm that combined traditional Chinese and Western medicine therapy can significantly improve cardiovascular event prognosis and reduce diabetes conversion risk. Future studies should further elucidate the molecular mechanisms of metabolic regulation, establish precision prevention and control systems based on multidimensional data, and promote the paradigm shift of integrated medicine from empirical practice to evidence-based medicine.