What is "TCM"? A conservation-relevant taxonomy of traditional Chinese medicine

AI-assisted literature exploration of innovative Chinese medicine formulas

Objective: Our study provides an innovative approach to exploring herbal formulas that contribute to the promotion of sustainability and biodiversity conservation. We employ data mining, integrating keyword extraction, association rules, and LSTM-based generative models to analyze classical Traditional Chinese Medicine (TCM) texts. We systematically decode classical Chinese medical literature, conduct statistical analyses, and link these historical texts with modern pharmacogenomic references to explore potential alternatives. Methods: We present a novel iterative keyword extraction approach for discerning diverse herbs in historical TCM texts from the Pu-Ji Fang copies. Utilizing association rules, we uncover previously unexplored herb pairs. To bridge classical TCM herbal pairs with modern genetic relationships, we conduct gene-herb searches in PubMed and statistically validate this genetic literature as supporting evidence. We have expanded on the present work by developing a generative language model for suggesting innovative TCM formulations based on textual herb combinations. Results: We collected associations with 7,664 PubMed cross-search entries for gene-herb and 934 for Shenqifuzheng Injection as a positive control. We analyzed 16,384 keyword combinations from Pu-Ji Fang's 426 volumes, employing statistical methods to probe gene-herb associations, focusing on examining differences among the target genes and Pu-Ji Fang herbs. Conclusion: Analyzing Pu-Ji Fang reveals a historical focus on flavor over medicinal aspects in TCM. We extend our work on developing a generative model from classical textual keywords to rapidly produces novel herbal compositions or TCM formulations. This integrated approach enhances our comprehension of TCM by merging ancient text analysis, modern genetic research, and generative modeling.

Global biodiversity conservation requires traditional Chinese medicine trade to be sustainable and well regulated

Traditional Chinese medicine (TCM) is highlighted by conservation practitioners as an ongoing threat to many overharvested plant and animal species, including several charismatic threatened vertebrates. However, studies that provide evidence-based and practical recommendations on how to better regulate the TCM trade for sustainability and biodiversity conservation remain limited. China is the biggest promotor of and market for TCM and understanding the TCM trade in China is important for global biodiversity conservation. In particular, conservation researchers need to better understand how the TCM trade and its regulations interact with China's development needs and should collaborate with TCM communities to propose locally adapted suggestions to decision makers. However, progress in these areas has been restricted by language, cultural, and knowledge barriers. In this paper, we provide an overview of the current status of TCM-related regulations in China, identify weaknesses in regulation frameworks, and highlight issues that currently limit our understanding of the magnitude, dynamics, and impact of the trade. We propose changes in trade regulations, actions to enhance law enforcement, and future research directions to encourage a more sustainable TCM trade that benefits both global biodiversity conservation and TCM development.