The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism.

N-acetyltransferase 2 (NAT2) catalyzes the acetylation of isoniazid to N-acetylisoniazid. NAT2 polymorphism explains 88% of isoniazid clearance variability in adults. We examined the effects of clinical and genetic factors on Michaelis-Menten reaction kinetic constants of maximum velocity (Vmax) and affinity (Km) in children 0-10years old. We measured the rates of isoniazid elimination and N-acetylisoniazid production in the blood of 30 children. Since maturation effects could be non-linear, we utilized a pharmacometric approach and the artificial intelligence method, multivariate adaptive regression splines (MARS), to identify factors predicting NAT2 Vmax and Km by examining clinical, genetic, and laboratory factors in toto. Isoniazid concentration predicted both Vmax and Km and superseded the contribution of NAT2 genotype. Age non-linearly modified the NAT2 genotype contribution until maturation at ≥5.3years. Thus, enzyme efficiency was constrained by substrate concentration, genes, and age. Since MARS output is in the form of basis functions and equations, it allows multiscale systems modeling from the level of cellular chemical reactions to whole body physiological parameters, by automatic selection of significant predictors by the algorithm.

Subtherapeutic concentrations of first-line anti-TB drugs in South African children treated according to current guidelines: the PHATISA study.

OBJECTIVES: There is a paucity of evidence regarding the optimal dosing of anti-TB drugs in children. The aim of this study was to identify the pharmacokinetic parameters of first-line anti-TB drugs and the concentrations achieved after implementation of the 2010 WHO-recommended paediatric dosages. METHODS: We conducted a prospective, observational pharmacokinetic study in children 10 years old or younger who were on isoniazid, rifampicin, pyrazinamide and ethambutol therapy in Durban, KwaZulu-Natal, South Africa. Blood was collected at six timepoints over a 24 h period, chosen using optimal sampling theory. The drug concentrations were simultaneously modelled to identify the compartmental pharmacokinetics of each drug in each child, using the ADAPT program. RESULTS: The best six sampling timepoints in children were identified as 0 (pre-dose) and 0.42, 1.76, 3.37, 10.31 and 24 h post-dose. Thirty-one children were recruited and blood was drawn at these timepoints. Rifampicin, ethambutol and pyrazinamide were best described using a one-compartment model, while isoniazid was best described with a two-compartment model. Only 2/31 (6%), 20/31 (65%), 17/31 (55%) and 2/13 (15%) of children attained the WHO 2 h target therapeutic concentrations of rifampicin, isoniazid, pyrazinamide and ethambutol, respectively. Moreover, only 24/31 (77%), 6/31 (19%) and 8/31 (26%) achieved the AUCs associated with an optimal clinical response to rifampicin, pyrazinamide and isoniazid, respectively. No single risk factor was significantly associated with below-normal drug levels. CONCLUSIONS: The drug concentrations of all first-line anti-TB drugs were markedly below the target therapeutic concentrations in most South African children who received the revised WHO-recommended paediatric weight-based dosages.