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Population pharmacokinetics of isoniazid and dose recommendations in Mexican patients with tuberculosis

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Abstract

Background The standardized doses of isoniazid in therapy against tuberculosis are determined based on total body weight, without considering genetic polymorphisms of the metabolic enzyme N-acetyltransferase-2 that contribute to the wide pharmacokinetic variability of isoniazid. Objective The aim of this work was to build a population pharmacokinetic model of isoniazid in Mexican patients with tuberculosis to characterize typical estimates of pharmacokinetics, as well as inter-individual and residual variability of isoniazid considering the genetic factors associated with the N-acetyltransferase-2 enzyme. Setting A prospective study was conducted at the Department of Internal Medicine in Hospital Central, San Luis Potosí, México. Methods Plasma concentrations of isoniazid were measured by high performance liquid chromatography. The acetylator phenotype was predicted through single nucleotide polymorphisms in the N-acetyltransferase-2 gene. Genetic, anthropometric and clinical covariates were used to develop a pharmacokinetic model. Main outcome measure Isoniazid plasma concentration. Results A total of 69 patients with tuberculosis were included. Blood samples were drawn from 20 min to 12 h post dose to determinate the isoniazid plasma concentration. Typical pharmacokinetics parameters were characterized through two-compartment open model with first-order absorption and linear elimination. Clearance was different for each predicted N-acetyltransferase-2 phenotype being 11.4, 19.2 and 27.4 L/h for slow, intermediate and rapid acetylators, respectively. Central volume of distribution was determined as 1.5 * body mass index (L). Through the application of the model, external validation was performed and initial dose regimen of isoniazid is proposed based on stochastic simulations. Conclusion A validated population pharmacokinetic model of isoniazid was developed in Mexican patients with tuberculosis. Through the application of the final model, initial dose recommendations were provided considering body mass index and N-acetyltransferase-2 phenotype.

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References

  1. McBryde ES, Meehan MT, Doan TN, Ragonnet R, Marais BJ, Guernier V, et al. The risk of global epidemic replacement with drug-resistant Mycobacterium tuberculosis strains. Int J Infect Dis. 2017;56:14–20.

    Article  Google Scholar 

  2. Schito M, Hanna D, Zumla A. Tuberculosis eradication versus control. Int J Infect Dis. 2017;56:10–3.

    Article  Google Scholar 

  3. Klein DJ, Boukouvala S, McDonagh EM, Shuldiner SR, Laurieri N, Thorn CF, et al. PharmGKB summary: isoniazid pathway, pharmacokinetics. Pharmacogenet Genomics. 2016;26(9):436–44.

    Article  Google Scholar 

  4. Jung JA, Kim TE, Lee H, Jeong BH, Park HY, Jeon K, et al. A proposal for an individualized pharmacogenetic-guided isoniazid dosage regimen for patients with tuberculosis. Drug Des Dev Ther. 2015;9:5433–8.

    Article  CAS  Google Scholar 

  5. Park JS, Lee JY, Lee YJ, Kim SJ, Cho YJ, Yoon HI, et al. Serum levels of antituberculosis drugs and their effect on tuberculosis treatment outcome. Antimicrob Agents Chemother. 2016;60(1):92–8.

    Article  CAS  Google Scholar 

  6. Seng KY, Hee KH, Soon GH, Chew N, Khoo SH, Lee LS. Population pharmacokinetic analysis of isoniazid, acetylisoniazid, and isonicotinic acid in healthy volunteers. Antimicrob Agents Chemother. 2015;59(11):6791–9.

    Article  CAS  Google Scholar 

  7. Cordes H, Thiel C, Aschmann HE, Baier V, Blank LM, Kuepfer L. A physiologically based pharmacokinetic model of isoniazid and its application in individualizing tuberculosis chemotherapy. Antimicrob Agents Chemother. 2016;60(10):6134–45.

    Article  CAS  Google Scholar 

  8. Lalande L, Bourguignon L, Bihari S, Maire P, Neely M, Jelliffe R, et al. Population modeling and simulation study of the pharmacokinetics and antituberculosis pharmacodynamics of isoniazid in lungs. Antimicrob Agents Chemother. 2015;59(9):5181–9.

    Article  CAS  Google Scholar 

  9. Wilkins JJ, Langdon G, McIlleron H, Pillai G, Smith PJ, Simonsson US. Variability in the population pharmacokinetics of isoniazid in South African tuberculosis patients. Br J Clin Pharmacol. 2011;72(1):51–62.

    Article  CAS  Google Scholar 

  10. Food and Drug Administration. Bioanalytical method validation, guidance for industry [Internet]. Silver Spring (MD): U.S. Department of Health and Human Services FAD. 2018, May. https://www.fda.gov/files/drugs/published/Bioanalytical-Method-Validation-Guidance-for-Industry.pdf. Accessed 11 Nov 2019.

  11. Boukouvala S. Database of arylamne N-acetyltransferases (NATs): Human NAT2 alleles (Haplotypes) [Internet]. Alexandroupolis (Greece): Democritus University of Thrace, Department of Molecular Biology and Genetics. Update 2016. https://nat.mbg.duth.gr/Human%2520NAT2%2520alleles_2013.htm. Accessed 11 Nov 2019.

  12. Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit—a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Progr Biomed. 2005;79(3):241–57.

    Article  Google Scholar 

  13. Jonsson EN, Karlsson MO. Xpose–an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Comput Methods Progr Biomed. 1999;58(1):51–64.

    Article  CAS  Google Scholar 

  14. Mould DR, Upton RN. Basic concepts in population modeling, simulation, and model-based drug development-part 2: introduction to pharmacokinetic modeling methods. CPT Pharmacomet Syst Pharmacol. 2013;2:e38.

    Article  CAS  Google Scholar 

  15. Sheiner LB, Beal SL. Some suggestions for measuring predictive performance. J Pharmacokinet Biopharm. 1981;9(4):503–12.

    Article  CAS  Google Scholar 

  16. McIlleron H, Chirehwa MT. Current research toward optimizing dosing of first-line antituberculosis treatment. Expert Rev Anti Infect Ther. 2019;17(1):27–38.

    Article  CAS  Google Scholar 

  17. Denti P, Jeremiah K, Chigutsa E, Faurholt-Jepsen D, PrayGod G, Range N, et al. Pharmacokinetics of isoniazid, pyrazinamide, and ethambutol in newly diagnosed pulmonary TB patients in Tanzania. PLoS ONE. 2015;10(10):e0141002.

    Article  Google Scholar 

  18. Salazar-Gonzalez R, Gomez R, Romano-Moreno S, Medellin-Garibay S, Nunez-Ruiz A, Magana-Aquino M, et al. Expression of NAT2 in immune system cells and the relation of NAT2 gene polymorphisms in the anti-tuberculosis therapy in Mexican mestizo population. Mol Biol Rep. 2014;41(12):7833–43.

    Article  CAS  Google Scholar 

  19. Huerta-Garcia AP, Medellin-Garibay SE, Salazar-Gonzalez RA, Ortiz-Alvarez A, Magana-Aquino M, Rodriguez-Pinal CJ, et al. Anthropometric and genetic factors associated with the exposure of rifampicin and isoniazid in Mexican patients with tuberculosis. Ther Drug Monit. 2019;41(5):648–56.

    Article  CAS  Google Scholar 

  20. Kinzig-Schippers M, Tomalik-Scharte D, Jetter A, Scheidel B, Jakob V, Rodamer M, et al. Should we use N-acetyltransferase type 2 genotyping to personalize isoniazid doses? Antimicrob Agents Chemother. 2005;49(5):1733–8.

    Article  CAS  Google Scholar 

  21. Ben Mahmoud L, Ghozzi H, Kamoun A, Hakim A, Hachicha H, Hammami S, et al. Polymorphism of the N-acetyltransferase 2 gene as a susceptibility risk factor for antituberculosis drug-induced hepatotoxicity in Tunisian patients with tuberculosis. Pathol Biol (Paris). 2012;60(5):324–30.

    Article  CAS  Google Scholar 

  22. Feng FM, Guo M, Chen Y, Li SM, Zhang P, Sun SF, et al. Genetic polymorphisms in metabolic enzymes and susceptibility to anti-tuberculosis drug-induced hepatic injury. Genet Mol Res. 2014;13(4):9463–71.

    Article  CAS  Google Scholar 

  23. Teixeira RL, Morato RG, Cabello PH, Muniz LM, Moreira Ada S, Kritski AL, et al. Genetic polymorphisms of NAT2, CYP2E1 and GST enzymes and the occurrence of antituberculosis drug-induced hepatitis in Brazilian TB patients. Mem Inst Oswaldo Cruz. 2011;106(6):716–24.

    Article  CAS  Google Scholar 

  24. Azuma J, Ohno M, Kubota R, Yokota S, Nagai T, Tsuyuguchi K, et al. NAT2 genotype guided regimen reduces isoniazid-induced liver injury and early treatment failure in the 6-month four-drug standard treatment of tuberculosis: a randomized controlled trial for pharmacogenetics-based therapy. Eur J Clin Pharmacol. 2013;69(5):1091–101.

    Article  CAS  Google Scholar 

  25. Sotsuka T, Sasaki Y, Hirai S, Yamagishi F, Ueno K. Association of isoniazid-metabolizing enzyme genotypes and isoniazid-induced hepatotoxicity in tuberculosis patients. In Vivo. 2011;25(5):803–12.

    CAS  PubMed  Google Scholar 

  26. Verbeeck RK, Gunther G, Kibuule D, Hunter C, Rennie TW. Optimizing treatment outcome of first-line anti-tuberculosis drugs: the role of therapeutic drug monitoring. Eur J Clin Pharmacol. 2016;72(8):905–16.

    Article  CAS  Google Scholar 

  27. Peloquin CA, Jaresko GS, Yong CL, Keung AC, Bulpitt AE, Jelliffe RW. Population pharmacokinetic modeling of isoniazid, rifampin, and pyrazinamide. Antimicrob Agents Chemother. 1997;41(12):2670–9.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors acknowledge the assistance of authorities and clinical staff of Coordinated Services of Health in San Luis Potosí and Hospital Central “Dr. Ignacio Morones Prieto”, San Luis Potosí, México; and the patients involved in this study.

Funding

This study was supported by Grants from CONACYT, Mexico Number FOMIX-CONACYT-SLP (FMSLP-2014-C02-250277); from FAI-UASLP (C15-FAI-04-67.67) to Milán-Segovia Rosa del Carmen, and from “Red Potosina Interinstitucional de Farmacogenética y Monitorización de Fármacos”. Huerta-Garcia Ana Patricia was the recipient of a scholarship (331463) from CONACYT. Medellín-Garibay Susanna E. was promoted for Retention at Universidad Autónoma de San Luis Potosí through Support Program for the incorporation of Scientists linked to the Institutional Consolidation of Research Groups and/or National Postgraduate Programs by CONACYT (Grant C-891/2018).

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Correspondence to Rosa del Carmen Milán-Segovia.

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Huerta-García, A., Medellín-Garibay, S., Ortiz-Álvarez, A. et al. Population pharmacokinetics of isoniazid and dose recommendations in Mexican patients with tuberculosis. Int J Clin Pharm 42, 1217–1226 (2020). https://doi.org/10.1007/s11096-020-01086-1

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