The evolution of Traditional Chinese Medicine as recombinant inventions

It has been widely recognized that technologies evolve with recombinant inventions. However, it remains unknown whether technologies developed using different approaches would exhibit different features during evolution. In particular, would technologies developed mainly based on accumulated experience in practices-formulas of traditional Chinese medicine (TCM) are typical examples of such technologies-have similar evolution features found in modern technologies? This study applied network science to explore the evolution of TCM from the perspective of recombinant inventions based on 59,063 TCM formulas documented over the last two thousand years, with each formula being a combination of components that are mostly herbs. Our results show that similar to modern technological systems, the TCM component networks maintained the core-periphery structures during evolution, and the (weighted) degrees of components followed heavy-tailed distributions. Moreover, simple tuples, which are frequently used combinations of TCM components, serve as building blocks for complex ones. A significant difference with modern technological systems is that the TCM core components were quite stable, while substitutions of core components are frequently observed in modern technological systems, leading to new technological trajectories. TCM comprises ancient knowledge and wisdom. This research provides insight into how it will be like in the future and what is important for its future.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-11-07
DOI
https://doi.org/10.1073/pnas.2400812121
Citations
11
Primary Topic
Biotechnology and Related Fields
Type
article
Field-Weighted Citation Impact
5.97

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article

The evolution of Traditional Chinese Medicine as recombinant inventions

Lu Fu, Tieju Ma, Hongtao Ren, Yan Zhu et al.
11 citations
Proceedings of the National Academy of Sciences
Biotechnology and Related Fields
5.97
article

The evolution of Traditional Chinese Medicine as recombinant inventions

Lu Fu, Tieju Ma, Hongtao Ren, Yan Zhu, Min Wu
article en
11 citations

Abstract

It has been widely recognized that technologies evolve with recombinant inventions. However, it remains unknown whether technologies developed using different approaches would exhibit different features during evolution. In particular, would technologies developed mainly based on accumulated experience in practices-formulas of traditional Chinese medicine (TCM) are typical examples of such technologies-have similar evolution features found in modern technologies? This study applied network science to explore the evolution of TCM from the perspective of recombinant inventions based on 59,063 TCM formulas documented over the last two thousand years, with each formula being a combination of components that are mostly herbs. Our results show that similar to modern technological systems, the TCM component networks maintained the core-periphery structures during evolution, and the (weighted) degrees of components followed heavy-tailed distributions. Moreover, simple tuples, which are frequently used combinations of TCM components, serve as building blocks for complex ones. A significant difference with modern technological systems is that the TCM core components were quite stable, while substitutions of core components are frequently observed in modern technological systems, leading to new technological trajectories. TCM comprises ancient knowledge and wisdom. This research provides insight into how it will be like in the future and what is important for its future.

Proceedings of the National Academy of SciencesVol. 121(46)
International Institute for Applied Systems Analysis (AT), East China University of Science and Technology (CN), Shanghai Jiao Tong University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
National Natural Science Foundation of China, China National Funds for Distinguished Young Scientists
Openalex Percentile: Top 3%
Biotechnology and Related Fields
5.97
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