Key result
TCM phenomics integrates multi-omics data to elucidate biomarkers and therapeutic mechanisms for glycolipid metabolism disorder.
Why the study?
Widespread application of traditional Chinese medicine in chronic diseases such as glycolipid metabolism disorder has been hindered by the unclear biological essence of syndromes and therapeutic mechanisms.
TCM phenomics offers a multi-omics approach to elucidate the mechanisms of traditional Chinese medicine in treating glycolipid metabolism disorders.
Answers are grounded in this paper and cite their sources.
May inform mechanistic research on metabolic disorders; leaves open prospective trials before any clinical consideration.
Traditional Chinese medicine (TCM) has demonstrated unique advantages in the prevention and treatment of chronic diseases such as glycolipid metabolism disorder. However, its widespread application has been hindered by the unclear biological essence of TCM syndromes and therapeutic mechanisms. As an emerging interdisciplinary field, phenomics integrates multi-dimensional data including genome, transcriptome, proteome, metabolome, and microbiome. When combined with TCM's holistic philosophy, it forms TCM phenomics, providing novel approaches to reveal the biological connotation of TCM syndromes and the mechanisms of herbal medicine. Taking glycolipid metabolism disorder as an example, this paper explores the application of TCM phenomics in glycolipid metabolism disorder. By analyzing molecular characteristics of related syndromes, TCM phenomics identifies differentially expressed genes, metabolites, and gut microbiota biomarkers to elucidate the dynamic evolution patterns of syndromes. Simultaneously, it deciphers the multi-target regulatory networks of herbal formulas, demonstrating their therapeutic effects through mechanisms including modulation of insulin signaling pathways, improvement of gut microbiota imbalance, and suppression of inflammatory responses. Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.
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Fang et al. (2025) conducted a review in Glycolipid metabolism disorder. Traditional Chinese medicine phenomics was evaluated. Traditional Chinese medicine phenomics integrates multi-omics data to elucidate syndrome biomarkers and multi-target therapeutic mechanisms for glycolipid metabolism disorder.
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