Literature DB >> 15855489

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

Martina Kinzig-Schippers1, Dorota Tomalik-Scharte, Alexander Jetter, Bernhard Scheidel, Verena Jakob, Michael Rodamer, Ingolf Cascorbi, Oxana Doroshyenko, Fritz Sörgel, Uwe Fuhr.   

Abstract

Isoniazid is metabolized by the genetically polymorphic arylamine N-acetyltransferase type 2 (NAT2). A greater number of high-activity alleles are related to increased acetylation capacity and in some reports to low efficacy and toxicity of isoniazid. The objective of this study was to assess individual isoniazid exposure based on NAT2 genotype to predict a personalized therapeutic dose. Isoniazid was administered to 18 healthy Caucasians (age 30 +/- 6 years, body weight 74 +/- 10 kg, five women) in random order as a 200-mg infusion, a 100-mg oral, and a 300-mg oral single dose. For the assessment of NAT2 genotype, common single nucleotide polymorphisms identifying 99.9% of variant alleles were characterized. Noncompartmental pharmacokinetics and compartmental population pharmacokinetics were estimated from isoniazid plasma concentrations until 24 h postdose by high-pressure liquid chromatography. The influence of NAT2 genotype, drug formulation, body weight, and sex on dose-normalized isoniazid pharmacokinetics was assessed by analysis of variance from noncompartmental data and confirmed by population pharmacokinetics. Eight high-activity NAT2*4 alleles were identified. Sex had no effect; the other factors explained 93% of the variability in apparent isoniazid clearance (analysis of variance). NAT2 genotype alone accounted for 88% of variability. Individual isoniazid clearance could be predicted as clearance (liters/hour) = 10 + 9 x (number of NAT2*4 alleles). To achieve similar isoniazid exposure, current standard doses presumably appropriate for patients with one high-activity NAT2 allele may be decreased or increased by approximately 50% for patients with no or two such alleles, respectively. Prospective clinical trials are required to assess the merits of this approach.

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Year:  2005        PMID: 15855489      PMCID: PMC1087660          DOI: 10.1128/AAC.49.5.1733-1738.2005

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


  26 in total

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Journal:  Clin Pharmacol Ther       Date:  1976-05       Impact factor: 6.875

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Journal:  Drugs       Date:  1985-04       Impact factor: 9.546

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  69 in total

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Authors:  Prakash M Jeena; William R Bishai; Jotam G Pasipanodya; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2010-11-22       Impact factor: 5.191

2.  Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy.

Authors:  Jotam G Pasipanodya; Shashikant Srivastava; Tawanda Gumbo
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3.  Population modeling and simulation study of the pharmacokinetics and antituberculosis pharmacodynamics of isoniazid in lungs.

Authors:  L Lalande; L Bourguignon; S Bihari; P Maire; M Neely; R Jelliffe; S Goutelle
Journal:  Antimicrob Agents Chemother       Date:  2015-06-15       Impact factor: 5.191

Review 4.  Revisiting the mutant prevention concentration to guide dosing in childhood tuberculosis.

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Journal:  J Antimicrob Chemother       Date:  2017-07-01       Impact factor: 5.790

Review 5.  [Treat to target and personalized medicine (precision medicine)].

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Journal:  Z Rheumatol       Date:  2016-08       Impact factor: 1.372

6.  Role of the N-acetylation polymorphism in solithromycin metabolism.

Authors:  David W Hein; Mark A Doll
Journal:  Pharmacogenomics       Date:  2017-04-24       Impact factor: 2.533

7.  New susceptibility breakpoints for first-line antituberculosis drugs based on antimicrobial pharmacokinetic/pharmacodynamic science and population pharmacokinetic variability.

Authors:  Tawanda Gumbo
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Review 8.  Treatment of active pulmonary tuberculosis in adults: current standards and recent advances. Insights from the Society of Infectious Diseases Pharmacists.

Authors:  Ronald G Hall; Richard D Leff; Tawanda Gumbo
Journal:  Pharmacotherapy       Date:  2009-12       Impact factor: 4.705

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Authors:  Neera Singh; Sudhisha Dubey; Saravanan Chinnaraj; Anil Golani; Anurupa Maitra
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Journal:  J Hum Genet       Date:  2007-12-27       Impact factor: 3.172

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