中国中医科学院中医临床基础医学研究所 北京 100700
刘骏,女,博士,研究员
#王永炎,男,教授,主任医师,博士生导师,中央文史研究馆馆员,中国工程院院士,主要研究方向:中医药防治中风病与脑病的临床与基础研究,E-mail:wangyongyan@sina.cn
纸质出版日期:2024-10-30,
网络出版日期:2024-09-12,
收稿日期:2024-04-16,
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刘骏, 关双, 王忠, 等. 网络象数思维解构方证关系的思考——源自中国原创思维的科技创新浅思[J]. 北京中医药大学学报, 2024,47(10):1367-1375.
LIU Jun, GUAN Shuang, WANG Zhong, et al. Deconstructing the relationship between prescriptions and patterns under network image-number thinking: reflection on technological innovation from Chinese original thinking[J]. Journal of Beijing University of Traditional Chinese Medicine, 2024,47(10):1367-1375.
刘骏, 关双, 王忠, 等. 网络象数思维解构方证关系的思考——源自中国原创思维的科技创新浅思[J]. 北京中医药大学学报, 2024,47(10):1367-1375. DOI: 10.3969/j.issn.1006-2157.2024.10.006.
LIU Jun, GUAN Shuang, WANG Zhong, et al. Deconstructing the relationship between prescriptions and patterns under network image-number thinking: reflection on technological innovation from Chinese original thinking[J]. Journal of Beijing University of Traditional Chinese Medicine, 2024,47(10):1367-1375. DOI: 10.3969/j.issn.1006-2157.2024.10.006.
证候的发生发展,其实质是特定生物分子网络间错综复杂的互动关系。在研究方证关系时,不能仅局限于单一分子因素,而应全面审视复杂生物系统中各层级分子网络靶标间的相互关系。为了从微观至宏观的层次深入解析方证之间的整体关联,本文在中国传统象数思维的指导下,立足于前期提出的定性网络象思维观点,创造性地利用运数思维逻辑与定量模块药理学分析技术,将复杂生物系统宏观层面上的象与微观分子网络层面的象关联研究,建立原创的中医网络象数思维方法体系,系统地揭示方剂与人体相互作用的规律和机制。本文提出的网络象数思维,具有多种核心特性:它体现了象数相倚的辩证统一性,展现了网络系统的多维层次性与序列性、自组织性与整体涌现性的特质,又揭示了网络复杂系统生生之易的功能动态性、和合共生的自我调节性等基本特征。此外,本文进一步探讨了网络象数思维指导模块药理学开展方证研究的实用性与优越性,这一思维方法学框架为模块药理学的发展提供了新的视角,有利于彰显原创思维在中医药现代研究中的引领作用,迈向更为统一的新医药学体系。
The occurrence and development of the pattern stem from the intricate interactions among specific biological molecular networks. Thus
broadening the perspective beyond a single molecular factor and investigating the intricate interconnections among molecular network targets across various levels within complex biological systems is essential when exploring the relationship between prescriptions and their corresponding patterns. This article integrates traditional Chinese image-number thinking with modern quantitative analysis
using qualitative " network image thinking" to innovatively apply numerical method in modular pharmacological analysis. This approach explores the connections between macro-level manifestations of complex biological systems and micro-level molecular network features
aiming to elucidate the correlations between prescriptions and patterns across different levels. An original method system of " network image-number thinking" in traditional Chinese medicine was established to systematically reveal the laws and mechanisms underlying the interaction between prescriptions and the human body. The " network image-number thinking" proposed in this paper has multiple core characteristics: it reflects the dialectical unity of " mutual reliance between image and number" and shows the multi-dimensional hierarchy
sequentiality
self-organization
and the emergence of the network system. This paper also elucidates the fundamental features of functional dynamism—which is characterized by the " ease of constant evolution" —and self-regulation
marked by " harmony and symbiosis" within complex network systems. Furthermore
we promote the practicality and superiority of using " network image-number thinking" to guide the module pharmacology when studying the relationship between prescriptions and their corresponding patterns. This thinking method framework provides a novel perspective for developing module pharmacology
effectively highlighting the leading role of original thinking in modern research on traditional Chinese medicine and moving towards a new unified medical system.
象数思维网络象网络数方证关系模块药理学
image-number thinkingnetwork image thinkingnetwork number thinkingrelationship between prescriptions and patternsmodular pharmacology
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