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LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence
The adherence assessment based on the combination of nevirapine (NVP) and its two metabolites (2-hydroxynevirapine and 3-hydroxynevirapine) would more comprehensively and accurately reflect long-term adherence than that of a single prototype. This study aimed to develop a specific, sensitive and sel...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730356/ https://www.ncbi.nlm.nih.gov/pubmed/33276689 http://dx.doi.org/10.3390/molecules25235692 |
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author | Yang, Haoran Chu, Liuxi Wu, Yan Wang, Wei Yang, Jin Zhang, Quan Qiao, Shan Li, Xiaoming Shen, Zhiyong Zhou, Yuejiao Liu, Shuaifeng Deng, Huihua |
author_facet | Yang, Haoran Chu, Liuxi Wu, Yan Wang, Wei Yang, Jin Zhang, Quan Qiao, Shan Li, Xiaoming Shen, Zhiyong Zhou, Yuejiao Liu, Shuaifeng Deng, Huihua |
author_sort | Yang, Haoran |
collection | PubMed |
description | The adherence assessment based on the combination of nevirapine (NVP) and its two metabolites (2-hydroxynevirapine and 3-hydroxynevirapine) would more comprehensively and accurately reflect long-term adherence than that of a single prototype. This study aimed to develop a specific, sensitive and selective method for simultaneous detection of the three compounds in hair and explore whether there was consistency among the three compounds in assessing long-term adherence. Furthermore, 75 HIV-positive patients who were taking the NVP drug were randomly recruited and divided into two groups (high-and low-adherence group). All participants self-reported their days of oral drug administration per month and provided their hair strands closest to the scalp at the region of posterior vertex. The concentrations of three compounds in the hair were determined using a developed LC-MS/MS method in multiple reaction monitoring. This method showed good performances in limit of quantification and accuracy with the recoveries from 85 to 115% and in precision with the intra-day and inter-day coefficients of variation within 15% for the three compounds. The population analysis revealed that patients with high-adherence showed significantly higher concentrations than those with low-adherence for all three compounds. There were significantly moderate correlations of nevirapine with 2-hydroxynevirapine and 3-hydroxynevirapin and high correlation between 2-hydroxynevirapine and 3-hydroxynevirapin. The two NVP’s metabolites showed high consistency with NVP in evaluating long-term adherence. |
format | Online Article Text |
id | pubmed-7730356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77303562020-12-12 LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence Yang, Haoran Chu, Liuxi Wu, Yan Wang, Wei Yang, Jin Zhang, Quan Qiao, Shan Li, Xiaoming Shen, Zhiyong Zhou, Yuejiao Liu, Shuaifeng Deng, Huihua Molecules Article The adherence assessment based on the combination of nevirapine (NVP) and its two metabolites (2-hydroxynevirapine and 3-hydroxynevirapine) would more comprehensively and accurately reflect long-term adherence than that of a single prototype. This study aimed to develop a specific, sensitive and selective method for simultaneous detection of the three compounds in hair and explore whether there was consistency among the three compounds in assessing long-term adherence. Furthermore, 75 HIV-positive patients who were taking the NVP drug were randomly recruited and divided into two groups (high-and low-adherence group). All participants self-reported their days of oral drug administration per month and provided their hair strands closest to the scalp at the region of posterior vertex. The concentrations of three compounds in the hair were determined using a developed LC-MS/MS method in multiple reaction monitoring. This method showed good performances in limit of quantification and accuracy with the recoveries from 85 to 115% and in precision with the intra-day and inter-day coefficients of variation within 15% for the three compounds. The population analysis revealed that patients with high-adherence showed significantly higher concentrations than those with low-adherence for all three compounds. There were significantly moderate correlations of nevirapine with 2-hydroxynevirapine and 3-hydroxynevirapin and high correlation between 2-hydroxynevirapine and 3-hydroxynevirapin. The two NVP’s metabolites showed high consistency with NVP in evaluating long-term adherence. MDPI 2020-12-02 /pmc/articles/PMC7730356/ /pubmed/33276689 http://dx.doi.org/10.3390/molecules25235692 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Haoran Chu, Liuxi Wu, Yan Wang, Wei Yang, Jin Zhang, Quan Qiao, Shan Li, Xiaoming Shen, Zhiyong Zhou, Yuejiao Liu, Shuaifeng Deng, Huihua LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title | LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title_full | LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title_fullStr | LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title_full_unstemmed | LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title_short | LC-MS/MS Quantification of Nevirapine and Its Metabolites in Hair for Assessing Long-Term Adherence |
title_sort | lc-ms/ms quantification of nevirapine and its metabolites in hair for assessing long-term adherence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730356/ https://www.ncbi.nlm.nih.gov/pubmed/33276689 http://dx.doi.org/10.3390/molecules25235692 |
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