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Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine
BACKGROUND: Traditional Chinese medicine (TCM) has been used to treat various diseases for thousands of years. However, the uncertainty of dosage as well as the lack of systemic evaluation of pharmacology and toxicology is one major reason why TCM remains mysterious and is not accepted worldwide. He...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675273/ https://www.ncbi.nlm.nih.gov/pubmed/36403018 http://dx.doi.org/10.1186/s13020-022-00687-4 |
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author | Chen, Yan-Yan Chen, Jia-Qian Tang, Yu-Ping Shang, Er-Xin Zhao, Qi Zou, Jun-Bo Xu, Ding-Qiao Yue, Shi-Jun Yang, Jie Fu, Rui-Jia Zhou, Gui-Sheng Duan, Jin-Ao |
author_facet | Chen, Yan-Yan Chen, Jia-Qian Tang, Yu-Ping Shang, Er-Xin Zhao, Qi Zou, Jun-Bo Xu, Ding-Qiao Yue, Shi-Jun Yang, Jie Fu, Rui-Jia Zhou, Gui-Sheng Duan, Jin-Ao |
author_sort | Chen, Yan-Yan |
collection | PubMed |
description | BACKGROUND: Traditional Chinese medicine (TCM) has been used to treat various diseases for thousands of years. However, the uncertainty of dosage as well as the lack of systemic evaluation of pharmacology and toxicology is one major reason why TCM remains mysterious and is not accepted worldwide. Hence, we aimed to propose an integrated dose–response metabolomics strategy based on both therapeutic effects and adverse reactions to guide the TCM dosage in treatment. METHODS: The proposed methodology of integrated dose–response metabolomics includes four steps: dose design, multiple comparison of metabolic features, response calculation and dose–response curve fitting. By comparing the changes of all metabolites under different doses and calculating these changes through superposition, it is possible to characterize the global disturbance and thus describe the overall effect and toxicity of TCM induced by different doses. Rhubarb, commonly used for constipation treatment, was selected as a representative TCM. RESULTS: This developed strategy was successfully applied to rhubarb. The dose–response curves clearly showed the efficacy and adverse reactions of rhubarb at different doses. The rhubarb dose of 0.69 g/kg (corresponding to 7.66 g in clinic) was selected as the optimal dose because it was 90% of the effective dose and three adverse reactions were acceptable in this case. CONCLUSION: An integrated dose–response metabolomics strategy reflecting both therapeutic effects and adverse reactions was established for the first time, which we believe is helpful to uncover the mysterious veil of TCM dosage. In addition, this strategy benefits the modernization and internationalization of TCM, and broadens the application of metabolomics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13020-022-00687-4. |
format | Online Article Text |
id | pubmed-9675273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96752732022-11-20 Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine Chen, Yan-Yan Chen, Jia-Qian Tang, Yu-Ping Shang, Er-Xin Zhao, Qi Zou, Jun-Bo Xu, Ding-Qiao Yue, Shi-Jun Yang, Jie Fu, Rui-Jia Zhou, Gui-Sheng Duan, Jin-Ao Chin Med Research BACKGROUND: Traditional Chinese medicine (TCM) has been used to treat various diseases for thousands of years. However, the uncertainty of dosage as well as the lack of systemic evaluation of pharmacology and toxicology is one major reason why TCM remains mysterious and is not accepted worldwide. Hence, we aimed to propose an integrated dose–response metabolomics strategy based on both therapeutic effects and adverse reactions to guide the TCM dosage in treatment. METHODS: The proposed methodology of integrated dose–response metabolomics includes four steps: dose design, multiple comparison of metabolic features, response calculation and dose–response curve fitting. By comparing the changes of all metabolites under different doses and calculating these changes through superposition, it is possible to characterize the global disturbance and thus describe the overall effect and toxicity of TCM induced by different doses. Rhubarb, commonly used for constipation treatment, was selected as a representative TCM. RESULTS: This developed strategy was successfully applied to rhubarb. The dose–response curves clearly showed the efficacy and adverse reactions of rhubarb at different doses. The rhubarb dose of 0.69 g/kg (corresponding to 7.66 g in clinic) was selected as the optimal dose because it was 90% of the effective dose and three adverse reactions were acceptable in this case. CONCLUSION: An integrated dose–response metabolomics strategy reflecting both therapeutic effects and adverse reactions was established for the first time, which we believe is helpful to uncover the mysterious veil of TCM dosage. In addition, this strategy benefits the modernization and internationalization of TCM, and broadens the application of metabolomics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13020-022-00687-4. BioMed Central 2022-11-19 /pmc/articles/PMC9675273/ /pubmed/36403018 http://dx.doi.org/10.1186/s13020-022-00687-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Yan-Yan Chen, Jia-Qian Tang, Yu-Ping Shang, Er-Xin Zhao, Qi Zou, Jun-Bo Xu, Ding-Qiao Yue, Shi-Jun Yang, Jie Fu, Rui-Jia Zhou, Gui-Sheng Duan, Jin-Ao Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title | Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title_full | Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title_fullStr | Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title_full_unstemmed | Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title_short | Integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional Chinese medicine |
title_sort | integrated dose–response metabolomics with therapeutic effects and adverse reactions may demystify the dosage of traditional chinese medicine |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675273/ https://www.ncbi.nlm.nih.gov/pubmed/36403018 http://dx.doi.org/10.1186/s13020-022-00687-4 |
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