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Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population
Objective: We aimed to establish a population pharmacokinetic (PPK) model for isoniazid (INH) and its major metabolite Acetylisoniazid (AcINH) in healthy Chinese participants and tuberculosis patients and assess the role of the NAT2 genotype on the transformation of INH to AcINH. We also sought to e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343941/ https://www.ncbi.nlm.nih.gov/pubmed/35928262 http://dx.doi.org/10.3389/fphar.2022.932686 |
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author | Chen, Bing Shi, Hao-Qiang Feng, Meihua Rose Wang, Xi-Han Cao, Xiao-Mei Cai, Wei-Min |
author_facet | Chen, Bing Shi, Hao-Qiang Feng, Meihua Rose Wang, Xi-Han Cao, Xiao-Mei Cai, Wei-Min |
author_sort | Chen, Bing |
collection | PubMed |
description | Objective: We aimed to establish a population pharmacokinetic (PPK) model for isoniazid (INH) and its major metabolite Acetylisoniazid (AcINH) in healthy Chinese participants and tuberculosis patients and assess the role of the NAT2 genotype on the transformation of INH to AcINH. We also sought to estimate the INH exposure that would achieve a 90% effective concentration (EC(90)) efficiency for patients with various NAT2 genotypes. Method: A total of 45 healthy participants and 157 tuberculosis patients were recruited. For healthy subjects, blood samples were collected 0–14 h after administration of 300 mg or 320 mg of the oral dose of INH; for tuberculosis patients who received at least seven days therapy with INH, blood samples were collected two and/or six hours after administration. The plasma concentration of INH and AcINH was determined by the reverse-phase HPLC method. NAT2 genotypes were determined by allele-specific amplification. The integrated PPK model of INH and AcINH was established through nonlinear mixed-effect modeling (NONMEM). The effect of NAT2 genotype and other covariates on INH and AcINH disposition was evaluated. Monte Carlo simulation was performed for estimating EC90 of INH in patients with various NAT2 genotypes. Results: The estimated absorption rate constant (K(a)), oral clearance (CL/F), and apparent volume of distribution (V(2)/F) for INH were 3.94 ± 0.44 h(−1), 18.2 ± 2.45 L⋅h(−1), and 56.8 ± 5.53 L, respectively. The constant of clearance (K(30)) and the volume of distribution (V(3)/F) of AcINH were 0.33 ± 0.11 h(−1) and 25.7 ± 1.30 L, respectively. The fraction of AcINH formation (F(M)) was 0.81 ± 0.076. NAT2 genotypes had different effects on the CL/F and F(M). In subjects with only one copy of NAT2 *5, *6, and *7 alleles, the CL/F values were approximately 46.3%, 54.9%, and 74.8% of *4/*4 subjects, respectively. The F(M) values were approximately 48.7%, 63.8%, and 86.9% of *4/*4 subjects, respectively. The probability of target attainment of INH EC(90) in patients with various NAT2 genotypes was different. Conclusion: The integrated parent-metabolite PPK model accurately characterized the disposition of INH and AcINH in the Chinese population sampled, which may be useful in the individualized therapy of INH. |
format | Online Article Text |
id | pubmed-9343941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93439412022-08-03 Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population Chen, Bing Shi, Hao-Qiang Feng, Meihua Rose Wang, Xi-Han Cao, Xiao-Mei Cai, Wei-Min Front Pharmacol Pharmacology Objective: We aimed to establish a population pharmacokinetic (PPK) model for isoniazid (INH) and its major metabolite Acetylisoniazid (AcINH) in healthy Chinese participants and tuberculosis patients and assess the role of the NAT2 genotype on the transformation of INH to AcINH. We also sought to estimate the INH exposure that would achieve a 90% effective concentration (EC(90)) efficiency for patients with various NAT2 genotypes. Method: A total of 45 healthy participants and 157 tuberculosis patients were recruited. For healthy subjects, blood samples were collected 0–14 h after administration of 300 mg or 320 mg of the oral dose of INH; for tuberculosis patients who received at least seven days therapy with INH, blood samples were collected two and/or six hours after administration. The plasma concentration of INH and AcINH was determined by the reverse-phase HPLC method. NAT2 genotypes were determined by allele-specific amplification. The integrated PPK model of INH and AcINH was established through nonlinear mixed-effect modeling (NONMEM). The effect of NAT2 genotype and other covariates on INH and AcINH disposition was evaluated. Monte Carlo simulation was performed for estimating EC90 of INH in patients with various NAT2 genotypes. Results: The estimated absorption rate constant (K(a)), oral clearance (CL/F), and apparent volume of distribution (V(2)/F) for INH were 3.94 ± 0.44 h(−1), 18.2 ± 2.45 L⋅h(−1), and 56.8 ± 5.53 L, respectively. The constant of clearance (K(30)) and the volume of distribution (V(3)/F) of AcINH were 0.33 ± 0.11 h(−1) and 25.7 ± 1.30 L, respectively. The fraction of AcINH formation (F(M)) was 0.81 ± 0.076. NAT2 genotypes had different effects on the CL/F and F(M). In subjects with only one copy of NAT2 *5, *6, and *7 alleles, the CL/F values were approximately 46.3%, 54.9%, and 74.8% of *4/*4 subjects, respectively. The F(M) values were approximately 48.7%, 63.8%, and 86.9% of *4/*4 subjects, respectively. The probability of target attainment of INH EC(90) in patients with various NAT2 genotypes was different. Conclusion: The integrated parent-metabolite PPK model accurately characterized the disposition of INH and AcINH in the Chinese population sampled, which may be useful in the individualized therapy of INH. Frontiers Media S.A. 2022-07-19 /pmc/articles/PMC9343941/ /pubmed/35928262 http://dx.doi.org/10.3389/fphar.2022.932686 Text en Copyright © 2022 Chen, Shi, Feng, Wang, Cao and Cai. https://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 Chen, Bing Shi, Hao-Qiang Feng, Meihua Rose Wang, Xi-Han Cao, Xiao-Mei Cai, Wei-Min Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title | Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title_full | Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title_fullStr | Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title_full_unstemmed | Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title_short | Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population |
title_sort | population pharmacokinetics and pharmacodynamics of isoniazid and its metabolite acetylisoniazid in chinese population |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343941/ https://www.ncbi.nlm.nih.gov/pubmed/35928262 http://dx.doi.org/10.3389/fphar.2022.932686 |
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