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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...

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Detalles Bibliográficos
Autores principales: He, Peiyu, Zhang, Chunling, Yang, Yaosong, Tang, Shuang, Liu, Xixian, Yong, Jin, Peng, Teng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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