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Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite

Complex chemical composition is an important reason for restricting herbal quality evaluation. Despite the multi-components determination method significantly promoted the progress of herbal quality evaluation, however, which mainly concerned the total amount of multiple components and ignored the a...

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Autores principales: Zhang, Ding-kun, Li, Rui-sheng, Han, Xue, Li, Chun-yu, Zhao, Zhi-hao, Zhang, Hai-zhu, Yang, Ming, Wang, Jia-bo, Xiao, Xiao-he
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911369/
https://www.ncbi.nlm.nih.gov/pubmed/27378926
http://dx.doi.org/10.3389/fphar.2016.00164
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author Zhang, Ding-kun
Li, Rui-sheng
Han, Xue
Li, Chun-yu
Zhao, Zhi-hao
Zhang, Hai-zhu
Yang, Ming
Wang, Jia-bo
Xiao, Xiao-he
author_facet Zhang, Ding-kun
Li, Rui-sheng
Han, Xue
Li, Chun-yu
Zhao, Zhi-hao
Zhang, Hai-zhu
Yang, Ming
Wang, Jia-bo
Xiao, Xiao-he
author_sort Zhang, Ding-kun
collection PubMed
description Complex chemical composition is an important reason for restricting herbal quality evaluation. Despite the multi-components determination method significantly promoted the progress of herbal quality evaluation, however, which mainly concerned the total amount of multiple components and ignored the activity variation between each one, and did not accurately reflect the biological activity of botanical medicines. In this manuscript, we proposed a toxicity calibrated contents determination method for hyper toxic aconite, called toxic constituents index (TCI). Initially, we determined the minimum lethal dose value of mesaconitine (MA), aconitine (AC), and hypaconitine (HA), and established the equation TCI = 100 × (0.3387 ×X(MA) + 0.4778 ×X(AC) + 0.1835 ×X(HA)). Then, 10 batches of aconite were selected and their evaluation results of toxic potency (TP), diester diterpenoid alkaloids (DDAs), and TCI were compared. Linear regression analysis result suggested that the relevance between TCI and TP was the highest and the correlation coefficient R was 0.954. Prediction error values study also indicated that the evaluation results of TCI was highly consistent with that of TP. Moreover, TCI and DDAs were both applied to evaluate 14 batches of aconite samples oriented different origins; from the different evaluation results, we found when the proportion of HA was reached 25% in DDAs, the pharmacopeia method could generate false positive results. All these results testified the accuracy and universality of TCI method. We believe that this study method is rather accurate, simple, and easy operation and it will be of great utility in studies of other foods and herbs.
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spelling pubmed-49113692016-07-04 Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite Zhang, Ding-kun Li, Rui-sheng Han, Xue Li, Chun-yu Zhao, Zhi-hao Zhang, Hai-zhu Yang, Ming Wang, Jia-bo Xiao, Xiao-he Front Pharmacol Pharmacology Complex chemical composition is an important reason for restricting herbal quality evaluation. Despite the multi-components determination method significantly promoted the progress of herbal quality evaluation, however, which mainly concerned the total amount of multiple components and ignored the activity variation between each one, and did not accurately reflect the biological activity of botanical medicines. In this manuscript, we proposed a toxicity calibrated contents determination method for hyper toxic aconite, called toxic constituents index (TCI). Initially, we determined the minimum lethal dose value of mesaconitine (MA), aconitine (AC), and hypaconitine (HA), and established the equation TCI = 100 × (0.3387 ×X(MA) + 0.4778 ×X(AC) + 0.1835 ×X(HA)). Then, 10 batches of aconite were selected and their evaluation results of toxic potency (TP), diester diterpenoid alkaloids (DDAs), and TCI were compared. Linear regression analysis result suggested that the relevance between TCI and TP was the highest and the correlation coefficient R was 0.954. Prediction error values study also indicated that the evaluation results of TCI was highly consistent with that of TP. Moreover, TCI and DDAs were both applied to evaluate 14 batches of aconite samples oriented different origins; from the different evaluation results, we found when the proportion of HA was reached 25% in DDAs, the pharmacopeia method could generate false positive results. All these results testified the accuracy and universality of TCI method. We believe that this study method is rather accurate, simple, and easy operation and it will be of great utility in studies of other foods and herbs. Frontiers Media S.A. 2016-06-17 /pmc/articles/PMC4911369/ /pubmed/27378926 http://dx.doi.org/10.3389/fphar.2016.00164 Text en Copyright © 2016 Zhang, Li, Han, Li, Zhao, Zhang, Yang, Wang and Xiao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Zhang, Ding-kun
Li, Rui-sheng
Han, Xue
Li, Chun-yu
Zhao, Zhi-hao
Zhang, Hai-zhu
Yang, Ming
Wang, Jia-bo
Xiao, Xiao-he
Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title_full Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title_fullStr Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title_full_unstemmed Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title_short Toxic Constituents Index: A Toxicity-Calibrated Quantitative Evaluation Approach for the Precise Toxicity Prediction of the Hypertoxic Phytomedicine—Aconite
title_sort toxic constituents index: a toxicity-calibrated quantitative evaluation approach for the precise toxicity prediction of the hypertoxic phytomedicine—aconite
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911369/
https://www.ncbi.nlm.nih.gov/pubmed/27378926
http://dx.doi.org/10.3389/fphar.2016.00164
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