Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM
Abstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such as LC–MS and GC–MS, coupled with metabolomics, has propelled the qualita...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2025-05-01
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| Series: | Chinese Medicine |
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| Online Access: | https://doi.org/10.1186/s13020-025-01112-2 |
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| _version_ | 1849734081974108160 |
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| author | Guang-Qin Liao Hong-Mei Tang Yuan-Di Yu Li-Zhi Fu Shuang-Jiao Li Mai-Xun Zhu |
| author_facet | Guang-Qin Liao Hong-Mei Tang Yuan-Di Yu Li-Zhi Fu Shuang-Jiao Li Mai-Xun Zhu |
| author_sort | Guang-Qin Liao |
| collection | DOAJ |
| description | Abstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such as LC–MS and GC–MS, coupled with metabolomics, has propelled the qualitative and quantitative characterization of TCM’s complex components. This review comprehensively examines the applications of MS-based metabolomics in elucidating TCM efficacy, spanning chemical composition analysis, molecular target identification, mechanism-of-action studies, and syndrome differentiation. Recent innovations in functional metabolomics, spatial metabolomics, single-cell metabolomics, and metabolic flux analysis have further expanded TCM research horizons. Artificial intelligence (AI) and bioinformatics integration offer promising avenues for overcoming analytical bottlenecks, enhancing database standardization, and driving interdisciplinary breakthroughs. However, challenges remain, including the need for improved data processing standardization, database expansion, and understanding of metabolite-gene-protein interactions. By addressing these gaps, metabolomics can bridge traditional practices and modern biomedical research, fostering global acceptance of TCM. This review highlights the synergy of advanced MS techniques, computational tools, and TCM’s holistic philosophy, presenting a forward-looking perspective on its clinical translation and internationalization. |
| format | Article |
| id | doaj-art-be87da8a7e824d11ada9a75a53fc3b2c |
| institution | DOAJ |
| issn | 1749-8546 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Chinese Medicine |
| spelling | doaj-art-be87da8a7e824d11ada9a75a53fc3b2c2025-08-20T03:07:54ZengBMCChinese Medicine1749-85462025-05-0120112010.1186/s13020-025-01112-2Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCMGuang-Qin Liao0Hong-Mei Tang1Yuan-Di Yu2Li-Zhi Fu3Shuang-Jiao Li4Mai-Xun Zhu5Chongqing Academy of Animal SciencesChongqing Academy of Animal SciencesNational Center of Technology Innovation for PigsChongqing Academy of Animal SciencesChinese Academy of Agricultural SciencesChongqing Academy of Animal SciencesAbstract Mass spectrometry (MS)-based metabolomics has emerged as a transformative tool to unraveling components and their mechanisms in traditional Chinese medicine (TCM). The integration of advanced analytical platforms, such as LC–MS and GC–MS, coupled with metabolomics, has propelled the qualitative and quantitative characterization of TCM’s complex components. This review comprehensively examines the applications of MS-based metabolomics in elucidating TCM efficacy, spanning chemical composition analysis, molecular target identification, mechanism-of-action studies, and syndrome differentiation. Recent innovations in functional metabolomics, spatial metabolomics, single-cell metabolomics, and metabolic flux analysis have further expanded TCM research horizons. Artificial intelligence (AI) and bioinformatics integration offer promising avenues for overcoming analytical bottlenecks, enhancing database standardization, and driving interdisciplinary breakthroughs. However, challenges remain, including the need for improved data processing standardization, database expansion, and understanding of metabolite-gene-protein interactions. By addressing these gaps, metabolomics can bridge traditional practices and modern biomedical research, fostering global acceptance of TCM. This review highlights the synergy of advanced MS techniques, computational tools, and TCM’s holistic philosophy, presenting a forward-looking perspective on its clinical translation and internationalization.https://doi.org/10.1186/s13020-025-01112-2Mass spectrometryMetabolomicsTraditional Chinese medicineComponent analysisMechanism |
| spellingShingle | Guang-Qin Liao Hong-Mei Tang Yuan-Di Yu Li-Zhi Fu Shuang-Jiao Li Mai-Xun Zhu Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM Chinese Medicine Mass spectrometry Metabolomics Traditional Chinese medicine Component analysis Mechanism |
| title | Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM |
| title_full | Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM |
| title_fullStr | Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM |
| title_full_unstemmed | Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM |
| title_short | Mass spectrometry-based metabolomic as a powerful tool to unravel the component and mechanism in TCM |
| title_sort | mass spectrometry based metabolomic as a powerful tool to unravel the component and mechanism in tcm |
| topic | Mass spectrometry Metabolomics Traditional Chinese medicine Component analysis Mechanism |
| url | https://doi.org/10.1186/s13020-025-01112-2 |
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