Literature DB >> 26282412

Population pharmacokinetic analysis of isoniazid, acetylisoniazid, and isonicotinic acid in healthy volunteers.

Kok-Yong Seng1, Kim-Hor Hee2, Gaik-Hong Soon2, Nicholas Chew3, Saye H Khoo4, Lawrence Soon-U Lee5.   

Abstract

In this study, we aimed to quantify the effects of the N-acetyltransferase 2 (NAT2) phenotype on isoniazid (INH) metabolism in vivo and identify other sources of pharmacokinetic variability following single-dose administration in healthy Asian adults. The concentrations of INH and its metabolites acetylisoniazid (AcINH) and isonicotinic acid (INA) in plasma were evaluated in 33 healthy Asians who were also given efavirenz and rifampin. The pharmacokinetics of INH, AcINH, and INA were analyzed using nonlinear mixed-effects modeling (NONMEM) to estimate the population pharmacokinetic parameters and evaluate the relationships between the parameters and the elimination status (fast, intermediate, and slow acetylators), demographic status, and measures of renal and hepatic function. A two-compartment model with first-order absorption best described the INH pharmacokinetics. AcINH and INA data were best described by a two- and a one-compartment model, respectively, linked to the INH model. In the final model for INH, the derived metabolic phenotypes for NAT2 were identified as a significant covariate in the INH clearance, reducing its interindividual variability from 86% to 14%. The INH clearance in fast eliminators was 1.9- and 7.7-fold higher than in intermediate and slow eliminators, respectively (65 versus 35 and 8 liters/h). Creatinine clearance was confirmed as a significant covariate for AcINH clearance. Simulations suggested that the current dosing guidelines (200 mg for 30 to 45 kg and 300 mg for >45 kg) may be suboptimal (3 mg/liter ≤ Cmax ≤ 6 mg/liter) irrespective of the acetylator class. The analysis established a model that adequately characterizes INH, AcINH, and INA pharmacokinetics in healthy Asians. Our results refine the NAT2 phenotype-based predictions of the pharmacokinetics for INH.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 26282412      PMCID: PMC4604378          DOI: 10.1128/AAC.01244-15

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  31 in total

1.  Xpose--an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM.

Authors:  E N Jonsson; M O Karlsson
Journal:  Comput Methods Programs Biomed       Date:  1999-01       Impact factor: 5.428

2.  PsN-Toolkit--a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM.

Authors:  Lars Lindbom; Pontus Pihlgren; E Niclas Jonsson; Niclas Jonsson
Journal:  Comput Methods Programs Biomed       Date:  2005-09       Impact factor: 5.428

3.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

4.  Pharmacokinetics of isoniazid and some metabolites in man.

Authors:  H G Boxenbaum; S Riegelman
Journal:  J Pharmacokinet Biopharm       Date:  1976-08

5.  Pharmacokinetics of isoniazid metabolism in man.

Authors:  G A Ellard; P T Gammon
Journal:  J Pharmacokinet Biopharm       Date:  1976-04

6.  Trimodality of isoniazid elimination: phenotype and genotype in patients with tuberculosis.

Authors:  D P Parkin; S Vandenplas; F J Botha; M L Vandenplas; H I Seifart; P D van Helden; B J van der Walt; P R Donald; P P van Jaarsveld
Journal:  Am J Respir Crit Care Med       Date:  1997-05       Impact factor: 21.405

7.  Cytochrome P450 2E1 genotype and the susceptibility to antituberculosis drug-induced hepatitis.

Authors:  Yi-Shin Huang; Herng-Der Chern; Wei-Juin Su; Jaw-Ching Wu; Shi-Chuan Chang; Chi-Huei Chiang; Full-Young Chang; Shou-Dong Lee
Journal:  Hepatology       Date:  2003-04       Impact factor: 17.425

8.  Should we use N-acetyltransferase type 2 genotyping to personalize isoniazid doses?

Authors:  Martina Kinzig-Schippers; Dorota Tomalik-Scharte; Alexander Jetter; Bernhard Scheidel; Verena Jakob; Michael Rodamer; Ingolf Cascorbi; Oxana Doroshyenko; Fritz Sörgel; Uwe Fuhr
Journal:  Antimicrob Agents Chemother       Date:  2005-05       Impact factor: 5.191

9.  Population pharmacokinetic modeling of isoniazid, rifampin, and pyrazinamide.

Authors:  C A Peloquin; G S Jaresko; C L Yong; A C Keung; A E Bulpitt; R W Jelliffe
Journal:  Antimicrob Agents Chemother       Date:  1997-12       Impact factor: 5.191

10.  Regional gastrointestinal permeability of rifampicin and isoniazid (alone and their combination) in the rat.

Authors:  T T Mariappan; S Singh
Journal:  Int J Tuberc Lung Dis       Date:  2003-08       Impact factor: 2.373

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  16 in total

1.  Effect of efavirenz-based antiretroviral therapy and high-dose rifampicin on the pharmacokinetics of isoniazid and acetyl-isoniazid.

Authors:  Maxwell T Chirehwa; Helen McIlleron; Lubbe Wiesner; Dissou Affolabi; Oumou Bah-Sow; Corinne Merle; Paolo Denti
Journal:  J Antimicrob Chemother       Date:  2019-01-01       Impact factor: 5.790

2.  Population Pharmacokinetic Analysis of Isoniazid among Pulmonary Tuberculosis Patients from China.

Authors:  Wei Jing; Zhaojing Zong; Bohao Tang; Jing Wang; Tingting Zhang; Shu'an Wen; Yi Xue; Naihui Chu; Wei Zhao; Hairong Huang
Journal:  Antimicrob Agents Chemother       Date:  2020-02-21       Impact factor: 5.191

3.  Global Urine Metabolomics in Patients Treated with First-Line Tuberculosis Drugs and Identification of a Novel Metabolite of Ethambutol.

Authors:  Mrinal Kumar Das; Rakesh Arya; Sanjita Debnath; Rahul Debnath; Anindita Lodh; Subasa Chandra Bishwal; Anjan Das; Ranjan Kumar Nanda
Journal:  Antimicrob Agents Chemother       Date:  2016-03-25       Impact factor: 5.191

4.  Modelling the long-acting administration of anti-tuberculosis agents using PBPK: a proof of concept study.

Authors:  R K R Rajoli; A T Podany; D M Moss; S Swindells; C Flexner; A Owen; M Siccardi
Journal:  Int J Tuberc Lung Dis       Date:  2018-08-01       Impact factor: 2.373

Review 5.  Isoniazid metabolism and hepatotoxicity.

Authors:  Pengcheng Wang; Komal Pradhan; Xiao-Bo Zhong; Xiaochao Ma
Journal:  Acta Pharm Sin B       Date:  2016-08-03       Impact factor: 11.413

6.  Determination of isoniazid acetylation patterns in tuberculosis patients receiving DOT therapy under the Revised National tuberculosis Control Program (RNTCP) in India.

Authors:  Faisal Imam; Manju Sharma; Khalid Umer Khayyam; Mohammad Rashid Khan; Mohammad Daud Ali; Wajhul Qamar
Journal:  Saudi Pharm J       Date:  2020-04-19       Impact factor: 4.330

7.  3D-Printed Isoniazid Tablets for the Treatment and Prevention of Tuberculosis-Personalized Dosing and Drug Release.

Authors:  Heidi Öblom; Jiaxiang Zhang; Manjeet Pimparade; Isabell Speer; Maren Preis; Michael Repka; Niklas Sandler
Journal:  AAPS PharmSciTech       Date:  2019-01-07       Impact factor: 3.246

8.  Mimicking in-vivo exposures to drug combinations in-vitro: anti-tuberculosis drugs in lung lesions and the hollow fiber model of infection.

Authors:  Frank Kloprogge; Robert Hammond; Karin Kipper; Stephen H Gillespie; Oscar Della Pasqua
Journal:  Sci Rep       Date:  2019-09-13       Impact factor: 4.379

9.  A Model-Informed Method for the Purpose of Precision Dosing of Isoniazid in Pulmonary Tuberculosis.

Authors:  Stijn W van Beek; Rob Ter Heine; Jan-Willem C Alffenaar; Cecile Magis-Escurra; Rob E Aarnoutse; Elin M Svensson
Journal:  Clin Pharmacokinet       Date:  2021-02-22       Impact factor: 6.447

10.  Phenotyping of UGT1A1 Activity Using Raltegravir Predicts Pharmacokinetics and Toxicity of Irinotecan in FOLFIRI.

Authors:  Lawrence Soon-U Lee; Kok-Yong Seng; Ling-Zhi Wang; Wei-Peng Yong; Kim-Hor Hee; Thomas I Soh; Andrea Wong; Pei F Cheong; Richie Soong; Nur S Sapari; Ross Soo; Lu Fan; Soo-Chin Lee; Boon C Goh
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

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