Sun Wanyang, Wang Rong, Ouyang Shuhua, Liang Wanli, Duan Junwei, Gong Wenyong, Hu Lianting, Chen Xiujuan, Li Yifang, Kurihara Hiroshi, Yao Xinsheng, Gao Hao, He Rongrong
Institute of Traditional Chinese Medicine and Natural Products, College of Pharmacy/Guangdong Engineering Research Center of Traditional Chinese Medicine & Disease Susceptibility/Guangdong Engineering Research Center of Traditional Chinese Medicine & Health Products/International Cooperative Laboratory of TCM Modernization and Innovative Drug Development of Chinese Ministry of Education (MOE)/Guangdong Province Key Laboratory of Pharmacodynamic Constituents of TCM and New Drugs Research/State Key Laboratory of Bioactive Molecules and Druggability Assessment, Jinan University, Guangzhou 510632, China.
State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau 999078, China.
Acta Pharm Sin B. 2025 May;15(5):2363-2371. doi: 10.1016/j.apsb.2025.03.009. Epub 2025 Mar 8.
"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.
“未病”是中医的一个基本概念，代表一种过渡状态，其特征是自我调节能力下降，但无明显生理或社会功能障碍。该观点深入探讨了未病的生物学基础和可量化指标，旨在建立早期疾病干预的研究框架。在此，我们提出“健康象限分类”系统，将人体状态分为健康、亚健康、疾病易感状态和疾病。我们认为疾病易感阶段是中医干预的关键点。为了解该状态的内在动态，我们建议采用时间序列实验和应激诱导疾病易感性模型进行实验室和临床研究。在分子水平上，强调运用生物组学技术和生物信息学方法揭示疾病进展过程中的复杂变化。此外，我们讨论数学模型和人工智能在开发预警系统以预测和避免从健康向疾病转变方面的应用。这种方法与中医的预防理念相契合，强调积极的健康维护和疾病预防。最终，我们的观点强调将现代科学方法与中医原则相结合以推动未病研究和早期干预策略发展的重要性。
