предыдущий|следующий

Deconstructing the relationship between prescriptions and patterns under network image-number thinking: reflection on technological innovation from Chinese original thinking

  • role： First author第一作者
  • Affiliation：

    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

  • Introduction：刘骏，女，博士，研究员
LIU Jun1,  
  • Affiliation：

    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

GUAN Shuang1,  
  • Affiliation：

    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

WANG Zhong1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China

  • Email：wangyongyan@sina.cn
  • Introduction：Prof. WANG Yongyan, Chief Physician, Doctoral Supervisor, Member of the China Central Institute for Culture and History, Academician of Chinese Academy of Engineering.No.16, Nanxiaojie Road, Dongzhimennei Nanxiaojie Road, Dongcheng District, Beijing 100700. E-mail: wangyongyan@sina.cn
WANG Yongyan1*

реферат

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.

ключеви́че слова́

image-number thinking;network image thinking;network number thinking;relationship between prescriptions and patterns;modular pharmacology

References

  1. [1].
    文明传播课题组．科技文明的起源：象数思维与潜科学能力[J]. 文明，2019(12): 144-147.
  2. [2].
    李甦平. 说象数思维[J]. 孔子研究，1990(1): 16-22.
  3. [3].
    王树人. 中西比较视野下的“象思维” ——回归原创之思[J]. 文史哲，2004(6): 108-114.
  4. [4].
    BARABÁSI AL. Network medicine—from obesity to the “diseasome”[J]. N Engl J Med, 2007, 357(4): 404-407.
  5. [5].
    HOPKINS AL. Network pharmacology[J]. Nat Biotechnol, 2007, 25(10): 1110-1111.
  6. [6].
    刘德麟，梁菊生. 中医药方证学的现代化研究[J]. 科学新闻，2001(45): 22.
  7. [7].
    张彦琼，李梢. 网络药理学与中医药现代研究的若干进展[J]. 中国药理学与毒理学杂志，2015, 29(6): 883-892.
  8. [8].
    LORENZ DM, JENG A, DEEM MW. The emergence of modularity in biological systems[J]. Phys Life Rev, 2011, 8(2): 129-160.
  9. [9].
    CSERMELY P, KORCSMAROS T, KISS HJ, et al. Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review[J]. Pharmacol Ther, 2013, 138(3): 333-408.
  10. [10].
    WANG Z, LIU J, YU Y, et al. Modular pharmacology: the next paradigm in drug discovery[J]. Expert Opin Drug Discov, 2012, 7(8): 667-677.
  11. [11].
    WANG Z, WANG YY. Modular pharmacology: deciphering the interacting structural organization of the targeted networks[J]. Drug Discov Today, 2013, 18(11/12): 560-566.
  12. [12].
    李兵，王永炎，王忠. 网络象思维特征与前景分析[J]. 北京中医药大学学报，2020, 43(7): 548-552, 560.
  13. [13].
    王琦. 中医原创思维模式的提出与论证[J]. 中医杂志，2012, 53(6): 458-460.
  14. [14].
    张其成. 象数思维方式的特征及其影响[J]. 安徽教育学院学报，2001, 19(1): 1-5.
  15. [15].
    张延丞，张其成．浅谈象数与中医学的关系[J].中华中医药杂志，2018，33(11)：5066-5068.
  16. [16].
    王树人，喻柏林. 论象与“象思维”[J]. 中国社会科学，1998(4): 38-48.
  17. [17].
    西沉. 论数与数思维——以中医学为例[J]. 四川大学学报(哲学社会科学版), 2013(6): 53-61.
  18. [18].
    孔令宏. 象与数的关系及其认识论意义[J]. 周易研究，2021(4): 5-11.
  19. [19].
    徐月英. 《黄帝内经》象数思维模式[D]. 沈阳：辽宁中医药大学，2008.
  20. [20].
    林夏水. 柏拉图的数学哲学[J]. 哲学研究，1996(1)：62-69.
  21. [21].
    林夏水. 毕达哥拉斯学派的数本说[J]. 自然辩证法研究，1989, 5(6): 48-58.
  22. [22].
    周文霞，王同兴，程肖蕊，等. 网络药理学研究中的网络分析技术[J]. 国际药学研究杂志，2016, 43(3): 399-409.
  23. [23].
    赵恒法. 邵雍的体用论[J]. 孝感学院学报，2009, 29(S1): 110-112.
  24. [24].
    白发红. 蔡沉范数之学探微[J]. 周易研究，2017(3): 42-50.
  25. [25].
    丁祯彦. 王夫之“象数相倚”的方法论意义[J]. 学术月刊，1984, 16(10): 77-80.
  26. [26].
    ZHANG XX, ZHANG YY, YU YN, et al. Convergence and divergence of genetic and modular networks between diabetes and breast cancer[J]. J Cell Mol Med, 2015, 19(5): 1094-1102.
  27. [27].
    王永炎，王忠. 整体观视角对中医方剂配伍的研究[J]. 中国中药杂志，2016, 41(15): 2749-2752.
  28. [28].
    LI S, ZHANG ZQ, WU LJ, et al. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network[J]. IET Syst Biol, 2007, 1(1): 51-60.
  29. [29].
    CHEN YY, WANG Z, WANG YY. Spatiotemporal positioning of multipotent modules in diverse biological networks[J]. Cell Mol Life Sci, 2014, 71(14): 2605-2624.
  30. [30].
    BARABÁSI AL, GULBAHCE N, LOSCALZO J. Network medicine: a network-based approach to human disease[J]. Nat Rev Genet, 2011, 12(1): 56-68.
  31. [31].
    HOPKINS AL. Network pharmacology: the next paradigm in drug discovery[J]. Nat Chem Biol, 2008, 4(11): 682-690.
  32. [32].
    李梢. 中医证候生物分子网络标志的构想与研究[J]. 中医杂志，2009, 50(9): 773-776.
  33. [33].
    马晓苗. “象思维”的自组织运行机理研究——“象思维”系列研究之三[J]. 系统科学学报，2018, 26(3): 4-8.
  34. [34].
    王永炎. 高等中医教育60年办学的启示(三)[J]. 中医教育，2018, 37(5): 1-3.
  35. [35].
    王永炎，刘骏，杜培艳，等. 借道区块链发展模块药理学揭示方证关联机制[J]. 北京中医药大学学报，2019, 42(7): 533-535.
  36. [36].
    王永炎，孙长岗. 中医学证候体系的哲学基础[J]. 中医杂志，2017, 58(18): 1531-1533.
  37. [37].
    QI YF, ZHOU NW, JIANG Q, et al. Dose-dependent variation of synchronous metabolites and modules in a Yin/Yang transformation model of appointed ischemia metabolic networks[J]. Front Neurosci, 2021, 15: 645185.
  38. [38].
    商戈令. 间性论撮要[J]. 哲学分析，2015, 6(6): 54-65.
  39. [39].
    LIU J, LI DD, DONG W, et al. Detection of an anti-angina therapeutic module in the effective population treated by a multi-target drug Danhong injection: a randomized trial[J]. Signal Transduct Target Ther, 2021, 6(1): 329.
  40. [40].
    陈寅萤，冯丽鹏，李勇，等. 模块分析法：解密复杂疾病和药物作用机制的新策略[J]. 中国中药杂志，2015, 40(20): 4112-4116.
  41. [41].
    WANG Z, LIU J, CHENG YY, et al. Fangjiomics: in search of effective and safe combination therapies[J]. J Clin Pharmacol, 2011, 51(8): 1132-1151.
  42. [42].
    LIU J, WANG Z. Diverse array-designed modes of combination therapies in Fangjiomics[J]. Acta Pharmacol Sin, 2015, 36(6): 680-688.

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