Genotype-guided isoniazid dosing harmonizes drug exposure in 3HP tuberculosis preventive therapy
Year: 2026
Type: preprint
Abstract: Rationale: Polymorphisms in the N-acetyltransferase 2 (NAT2) gene explain much of the interindividual variation in isoniazid (INH) metabolism and determine risk of toxicities. However, there is limited evidence to guide INH dose adjustment according to the NAT2 acetylator profile in weekly rifapentine-INH tuberculosis preventive therapy (TPT). Objectives: We evaluated whether NAT2 genotype-guided INH dose adjustment harmonizes drug exposure across acetylator phenotypes during 3HP and derived phenotype-specific dose recommendations. Methods: In a prospective, multicenter, within-subject PK trial ( NCT05413551 ), adults initiating 3HP in Brazil were assigned genotype-guided INH doses (slow: 5 mg/kg ≤300 mg; intermediate: 15 mg/kg ≤900 mg; rapid: 25 mg/kg ≤1,500 mg) alongside a standard 900 mg flat dose on an alternate occasion. AUC0-24 and C24 were estimated from serial blood samples; a two-compartment Michaelis-Menten population PK model characterized NAT2 effects on clearance. Measurements and Main Results: Among 228 participants, 47.4% (108/228) were intermediate, 43.4% (99/228) slow, and 9.2% (21/228) rapid acetylators. Genotype-guided dosing reduced AUC0-24 variability approximately two-fold versus standard dosing (CV 58.8% vs 76.8%) and increased exposure uniformity (median AUC0- 24 27.2 [IQR 18.8-41.3] vs 43.2 [27.3-71.0] mg·h/L). Among slow acetylators, C24 >0.15 µg/mL decreased from 27/42 (64%) with standard dosing to 1/42 (2%) with genotype-guided dosing (P<0.0001). In 104 participants with intensive PK sampling, rapid acetylators receiving guided doses had AUC0-24similar to standard-dose intermediate acetylators (42.8 vs 39.5 mg·h/L; P=.63). Monte Carlo simulations supported doses of 600, 900, and 1,200 mg for slow, intermediate, and rapid acetylators, respectively. Conclusions: . These findings inform genotype-stratified dosing of INH for TPT, which might reduce toxicities and improve outcomes.
Source: medRxiv
Authors: Kesia Esther da Silva, Samuel Sarkodie, Karina Marques, Patricia Vieira, Roberto Dias de Oliveira, Paulo César Pereira dos Santos, Marco Antonio Moreira Puga, Allyson Guimarães Costa, João Paulo Gregorio Machado, Renata Spener-Gomes, Eunsol Yang, Rada Savic, Marcelo Cordeiro-Santos, Julio Croda, Jason R. Andrews
Institutions: Stanford Medicine, Stanford University, University of California, San Francisco, Universidade Federal de Mato Grosso do Sul, Universidade Federal da Grande Dourados, Universidade Estadual de Mato Grosso do Sul, Fundação de Medicina Tropical, Universidade Federal do Amazonas, Universidade do Estado do Amazonas, Universidade Nilton Lins, Fundação Oswaldo Cruz
Language: English
Subfield: Pharmacology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204872650
