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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 (V(max)) a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049930/ https://www.ncbi.nlm.nih.gov/pubmed/27528266 http://dx.doi.org/10.1016/j.ebiom.2016.07.031 |
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author | Rogers, Zoe Hiruy, Hiwot Pasipanodya, Jotam G. Mbowane, Chris Adamson, John Ngotho, Lihle Karim, Farina Jeena, Prakash Bishai, William Gumbo, Tawanda |
author_facet | Rogers, Zoe Hiruy, Hiwot Pasipanodya, Jotam G. Mbowane, Chris Adamson, John Ngotho, Lihle Karim, Farina Jeena, Prakash Bishai, William Gumbo, Tawanda |
author_sort | Rogers, Zoe |
collection | PubMed |
description | 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 (V(max)) and affinity (K(m)) in children 0–10 years 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 V(max) and K(m) by examining clinical, genetic, and laboratory factors in toto. Isoniazid concentration predicted both V(max) and K(m) and superseded the contribution of NAT2 genotype. Age non-linearly modified the NAT2 genotype contribution until maturation at ≥ 5.3 years. 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. |
format | Online Article Text |
id | pubmed-5049930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50499302016-10-07 The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism Rogers, Zoe Hiruy, Hiwot Pasipanodya, Jotam G. Mbowane, Chris Adamson, John Ngotho, Lihle Karim, Farina Jeena, Prakash Bishai, William Gumbo, Tawanda EBioMedicine Research Paper 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 (V(max)) and affinity (K(m)) in children 0–10 years 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 V(max) and K(m) by examining clinical, genetic, and laboratory factors in toto. Isoniazid concentration predicted both V(max) and K(m) and superseded the contribution of NAT2 genotype. Age non-linearly modified the NAT2 genotype contribution until maturation at ≥ 5.3 years. 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. Elsevier 2016-07-27 /pmc/articles/PMC5049930/ /pubmed/27528266 http://dx.doi.org/10.1016/j.ebiom.2016.07.031 Text en © 2016 Forschungsgesellschaft für Arbeitsphysiologie und Arbeitschutz e.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Rogers, Zoe Hiruy, Hiwot Pasipanodya, Jotam G. Mbowane, Chris Adamson, John Ngotho, Lihle Karim, Farina Jeena, Prakash Bishai, William Gumbo, Tawanda The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title | The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title_full | The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title_fullStr | The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title_full_unstemmed | The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title_short | The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism |
title_sort | non-linear child: ontogeny, isoniazid concentration, and nat2 genotype modulate enzyme reaction kinetics and metabolism |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5049930/ https://www.ncbi.nlm.nih.gov/pubmed/27528266 http://dx.doi.org/10.1016/j.ebiom.2016.07.031 |
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