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Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review
As natural products with biological activity, the quality of traditional Chinese medicines (TCM) is the key to their clinical application. Fingerprints based on the types and contents of chemical components in TCM are an internationally recognized quality evaluation method but ignore the correlation...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609026/ https://www.ncbi.nlm.nih.gov/pubmed/37894489 http://dx.doi.org/10.3390/molecules28207011 |
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author | He, Peiyu Zhang, Chunling Yang, Yaosong Tang, Shuang Liu, Xixian Yong, Jin Peng, Teng |
author_facet | He, Peiyu Zhang, Chunling Yang, Yaosong Tang, Shuang Liu, Xixian Yong, Jin Peng, Teng |
author_sort | He, Peiyu |
collection | PubMed |
description | As natural products with biological activity, the quality of traditional Chinese medicines (TCM) is the key to their clinical application. Fingerprints based on the types and contents of chemical components in TCM are an internationally recognized quality evaluation method but ignore the correlation between chemical components and efficacy. Through chemometric methods, the fingerprints represented by the chemical components of TCM were correlated with its pharmacodynamic activity results to obtain the spectrum–effect relationships of TCM, which can reveal the pharmacodynamic components information related to the pharmacodynamic activity and solve the limitations of segmentation of chemical components and pharmacodynamic research in TCM. In the 20th anniversary of the proposed spectrum–effect relationships, this paper reviews its research progress in the field of TCM, including the establishment of fingerprints, pharmacodynamic evaluation methods, chemometric methods and their practical applications in the field of TCM. Furthermore, the new strategy of spectrum–effect relationships research in recent years was also discussed, and the application prospects of this technology were discussed. |
format | Online Article Text |
id | pubmed-10609026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106090262023-10-28 Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review He, Peiyu Zhang, Chunling Yang, Yaosong Tang, Shuang Liu, Xixian Yong, Jin Peng, Teng Molecules Review As natural products with biological activity, the quality of traditional Chinese medicines (TCM) is the key to their clinical application. Fingerprints based on the types and contents of chemical components in TCM are an internationally recognized quality evaluation method but ignore the correlation between chemical components and efficacy. Through chemometric methods, the fingerprints represented by the chemical components of TCM were correlated with its pharmacodynamic activity results to obtain the spectrum–effect relationships of TCM, which can reveal the pharmacodynamic components information related to the pharmacodynamic activity and solve the limitations of segmentation of chemical components and pharmacodynamic research in TCM. In the 20th anniversary of the proposed spectrum–effect relationships, this paper reviews its research progress in the field of TCM, including the establishment of fingerprints, pharmacodynamic evaluation methods, chemometric methods and their practical applications in the field of TCM. Furthermore, the new strategy of spectrum–effect relationships research in recent years was also discussed, and the application prospects of this technology were discussed. MDPI 2023-10-10 /pmc/articles/PMC10609026/ /pubmed/37894489 http://dx.doi.org/10.3390/molecules28207011 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review He, Peiyu Zhang, Chunling Yang, Yaosong Tang, Shuang Liu, Xixian Yong, Jin Peng, Teng Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title | Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title_full | Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title_fullStr | Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title_full_unstemmed | Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title_short | Spectrum–Effect Relationships as an Effective Approach for Quality Control of Natural Products: A Review |
title_sort | spectrum–effect relationships as an effective approach for quality control of natural products: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10609026/ https://www.ncbi.nlm.nih.gov/pubmed/37894489 http://dx.doi.org/10.3390/molecules28207011 |
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