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A lung retention model based on Michaelis-Menten-like kinetics.

A Michaelis-Menten (MM)-like kinetic model for pulmonary clearance and retention of insoluble dusts was developed and validated by comparing our predictions with experimental data from F344 rats. Published data from inhalation studies involving accumulation and elimination of photocopy test toner, a...

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Detalles Bibliográficos
Autores principales: Yu, R C, Rappaport, S M
Formato: Texto
Lenguaje:English
Publicado: 1997
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1469867/
https://www.ncbi.nlm.nih.gov/pubmed/9222134
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author Yu, R C
Rappaport, S M
author_facet Yu, R C
Rappaport, S M
author_sort Yu, R C
collection PubMed
description A Michaelis-Menten (MM)-like kinetic model for pulmonary clearance and retention of insoluble dusts was developed and validated by comparing our predictions with experimental data from F344 rats. Published data from inhalation studies involving accumulation and elimination of photocopy test toner, antimony trioxide, carbon black, and diesel exhaust particles were investigated. Numerical integration techniques were used to solve mass balance relationships based upon dust retention in a single lung compartment and clearance via an MM-like kinetic process. The model fit most of the experimental data well. The parameters of MM-like clearance kinetics, which had been derived strictly from the elimination phase, accurately predicted dust retention during the elimination as well as accumulation phases. Furthermore, parameters estimated from one study could accurately predict retention of the same dust in other studies. Particle density and gender of the animals had no effect on the goodness of fit of model predictions. This study suggests that MM-like kinetics offer a reasonable description of particle clearance from the pulmonary region of the rat lung that is more parsimonious than existing particle-clearance models and therefore more suitable for use with small amounts of data.
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spelling pubmed-14698672006-06-01 A lung retention model based on Michaelis-Menten-like kinetics. Yu, R C Rappaport, S M Environ Health Perspect Research Article A Michaelis-Menten (MM)-like kinetic model for pulmonary clearance and retention of insoluble dusts was developed and validated by comparing our predictions with experimental data from F344 rats. Published data from inhalation studies involving accumulation and elimination of photocopy test toner, antimony trioxide, carbon black, and diesel exhaust particles were investigated. Numerical integration techniques were used to solve mass balance relationships based upon dust retention in a single lung compartment and clearance via an MM-like kinetic process. The model fit most of the experimental data well. The parameters of MM-like clearance kinetics, which had been derived strictly from the elimination phase, accurately predicted dust retention during the elimination as well as accumulation phases. Furthermore, parameters estimated from one study could accurately predict retention of the same dust in other studies. Particle density and gender of the animals had no effect on the goodness of fit of model predictions. This study suggests that MM-like kinetics offer a reasonable description of particle clearance from the pulmonary region of the rat lung that is more parsimonious than existing particle-clearance models and therefore more suitable for use with small amounts of data. 1997-05 /pmc/articles/PMC1469867/ /pubmed/9222134 Text en
spellingShingle Research Article
Yu, R C
Rappaport, S M
A lung retention model based on Michaelis-Menten-like kinetics.
title A lung retention model based on Michaelis-Menten-like kinetics.
title_full A lung retention model based on Michaelis-Menten-like kinetics.
title_fullStr A lung retention model based on Michaelis-Menten-like kinetics.
title_full_unstemmed A lung retention model based on Michaelis-Menten-like kinetics.
title_short A lung retention model based on Michaelis-Menten-like kinetics.
title_sort lung retention model based on michaelis-menten-like kinetics.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1469867/
https://www.ncbi.nlm.nih.gov/pubmed/9222134
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