Cargando…

Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study

Cephalosporins are beta-lactam antibiotics that are widely used in China. Five generations of cephalosporins have been introduced in clinical practice to date; moreover, some new candidates are also undergoing clinical evaluations. To improve the success rates of new drug development, we need to hav...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Ying, Zhang, Xia, Zhang, Jingpu, Hu, Changqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361752/
https://www.ncbi.nlm.nih.gov/pubmed/30761002
http://dx.doi.org/10.3389/fphar.2019.00031
_version_ 1783392729524338688
author Liu, Ying
Zhang, Xia
Zhang, Jingpu
Hu, Changqin
author_facet Liu, Ying
Zhang, Xia
Zhang, Jingpu
Hu, Changqin
author_sort Liu, Ying
collection PubMed
description Cephalosporins are beta-lactam antibiotics that are widely used in China. Five generations of cephalosporins have been introduced in clinical practice to date; moreover, some new candidates are also undergoing clinical evaluations. To improve the success rates of new drug development, we need to have a comprehensive understanding about the relationship between the structure of cephalosporins and the toxicity that it induces at an early stage. In the cephalosporins toxicity study using zebrafish, the drug absorption is a key point. In this study, we determined the absorption of cephalosporins in zebrafish during toxicity test. The internal concentrations of 19 cephalosporins in zebrafish were determined using a developed liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. Furthermore, a quantitative structure-activity relationship (QSAR) model was established by multilinear regression; moreover, it was used to predict the absorption of cephalosporins in zebrafish. During leave-one-out cross-validation, a satisfactory performance was obtained with a predictive ability (q(2)) of 0.839. The prediction ability of the model was further confirmed when the predictive ability (q(2)) was 0.859 in external prediction. The best QSAR model, which was based on five molecular descriptors, exhibited a promising predictive performance and robustness. In experiments involving drug toxicity, the developed QSAR model was used to estimate internal concentrations of cephalosporins. Thus, the toxicity results were correlated with the internal concentration of the drug within the larvae. The developed model served as a new powerful tool in zebrafish toxicity tests.
format Online
Article
Text
id pubmed-6361752
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-63617522019-02-13 Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study Liu, Ying Zhang, Xia Zhang, Jingpu Hu, Changqin Front Pharmacol Pharmacology Cephalosporins are beta-lactam antibiotics that are widely used in China. Five generations of cephalosporins have been introduced in clinical practice to date; moreover, some new candidates are also undergoing clinical evaluations. To improve the success rates of new drug development, we need to have a comprehensive understanding about the relationship between the structure of cephalosporins and the toxicity that it induces at an early stage. In the cephalosporins toxicity study using zebrafish, the drug absorption is a key point. In this study, we determined the absorption of cephalosporins in zebrafish during toxicity test. The internal concentrations of 19 cephalosporins in zebrafish were determined using a developed liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. Furthermore, a quantitative structure-activity relationship (QSAR) model was established by multilinear regression; moreover, it was used to predict the absorption of cephalosporins in zebrafish. During leave-one-out cross-validation, a satisfactory performance was obtained with a predictive ability (q(2)) of 0.839. The prediction ability of the model was further confirmed when the predictive ability (q(2)) was 0.859 in external prediction. The best QSAR model, which was based on five molecular descriptors, exhibited a promising predictive performance and robustness. In experiments involving drug toxicity, the developed QSAR model was used to estimate internal concentrations of cephalosporins. Thus, the toxicity results were correlated with the internal concentration of the drug within the larvae. The developed model served as a new powerful tool in zebrafish toxicity tests. Frontiers Media S.A. 2019-01-29 /pmc/articles/PMC6361752/ /pubmed/30761002 http://dx.doi.org/10.3389/fphar.2019.00031 Text en Copyright © 2019 Liu, Zhang, Zhang and Hu. 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) and the copyright owner(s) 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
Liu, Ying
Zhang, Xia
Zhang, Jingpu
Hu, Changqin
Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title_full Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title_fullStr Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title_full_unstemmed Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title_short Construction of a Quantitative Structure Activity Relationship (QSAR) Model to Predict the Absorption of Cephalosporins in Zebrafish for Toxicity Study
title_sort construction of a quantitative structure activity relationship (qsar) model to predict the absorption of cephalosporins in zebrafish for toxicity study
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361752/
https://www.ncbi.nlm.nih.gov/pubmed/30761002
http://dx.doi.org/10.3389/fphar.2019.00031
work_keys_str_mv AT liuying constructionofaquantitativestructureactivityrelationshipqsarmodeltopredicttheabsorptionofcephalosporinsinzebrafishfortoxicitystudy
AT zhangxia constructionofaquantitativestructureactivityrelationshipqsarmodeltopredicttheabsorptionofcephalosporinsinzebrafishfortoxicitystudy
AT zhangjingpu constructionofaquantitativestructureactivityrelationshipqsarmodeltopredicttheabsorptionofcephalosporinsinzebrafishfortoxicitystudy
AT huchangqin constructionofaquantitativestructureactivityrelationshipqsarmodeltopredicttheabsorptionofcephalosporinsinzebrafishfortoxicitystudy