Literature DB >> 12712630

Physiological modeling of age-specific changes in the pharmacokinetics of organic chemicals in children.

Karine Price1, Sami Haddad, Kannan Krishnan.   

Abstract

Age-specific changes in the pharmacokinetics of chemicals are primarily due to differences in physiological and biochemical factors. For integrating the available information on the age-dependent changes in the physiological and biochemical factors, and for evaluating their combined influence on the pharmacokinetics of chemicals, physiologically based pharmacokinetic (PBPK) models are potentially useful. The objectives of this study were, therefore, (1) to assemble information on age-specific differences in physiological parameters such as alveolar ventilation rate, cardiac output, tissue volumes, tissue blood flow rates, and tissue composition for children of various age groups, and (2) to incorporate these data within a PBPK model for simulating the inhalation pharmacokinetics of a highly metabolized, volatile organic chemical (furan) in children of specific age groups (6, 10, and 14 yr old). The age-specific data on various physiological parameters were assembled following a review of the relevant literature and the hepatic metabolism rate of furan was set equal to the liver blood flow rate in adults and children. The blood:air and tissue:blood partition coefficients were calculated using molecular structure information along with the data on the blood and tissue composition (lipid and water contents) in children and adults. The PBPK model was used to simulate the pharmacokinetics of furan in adults and children (6, 10, and 14 yr old) exposed continuously for 30 h to 1 microgram/L of this chemical in inhaled air. The model simulations suggest that, for the same exposure conditions, the blood concentration of furan is likely to be greater in children by a factor of 1.5 (at steady state) than in adults, and the maximal factor of adult-children differences in liver concentration of furan metabolite is about 1.25. The PBPK model framework developed in this study should be useful for predicting the adult-children differences in internal dose of chemicals for risk assessment applications.

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Year:  2003        PMID: 12712630     DOI: 10.1080/15287390306450

Source DB:  PubMed          Journal:  J Toxicol Environ Health A        ISSN: 0098-4108


  15 in total

Review 1.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

2.  PBPK and its Virtual Populations: the Impact of Physiology on Pediatric Pharmacokinetic Predictions of Tramadol.

Authors:  Huybrecht T'jollyn; An Vermeulen; Jan Van Bocxlaer
Journal:  AAPS J       Date:  2018-11-29       Impact factor: 4.009

3.  Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children.

Authors:  Trevor N Johnson; Amin Rostami-Hodjegan; Geoffrey T Tucker
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 4.  Modelling approaches to dose estimation in children.

Authors:  Trevor N Johnson
Journal:  Br J Clin Pharmacol       Date:  2005-06       Impact factor: 4.335

5.  Prediction of drug disposition in infants and children by means of physiologically based pharmacokinetic (PBPK) modelling: theophylline and midazolam as model drugs.

Authors:  Sven Björkman
Journal:  Br J Clin Pharmacol       Date:  2005-06       Impact factor: 4.335

6.  Age-Related Changes in Pediatric Physiology: Quantitative Analysis of Organ Weights and Blood Flows : Age-Related Changes in Pediatric Physiology.

Authors:  Hsuan Ping Chang; Se Jin Kim; Di Wu; Kushal Shah; Dhaval K Shah
Journal:  AAPS J       Date:  2021-03-31       Impact factor: 4.009

7.  Modeling the Human Kinetic Adjustment Factor for Inhaled Volatile Organic Chemicals: Whole Population Approach versus Distinct Subpopulation Approach.

Authors:  M Valcke; A Nong; K Krishnan
Journal:  J Toxicol       Date:  2012-03-07

8.  Relative pesticide and exposure route contribution to aggregate and cumulative dose in young farmworker children.

Authors:  Paloma I Beamer; Robert A Canales; Alesia C Ferguson; James O Leckie; Asa Bradman
Journal:  Int J Environ Res Public Health       Date:  2012-01-03       Impact factor: 3.390

9.  A physiologically based pharmacokinetic model for the assessment of infant exposure to persistent organic pollutants in epidemiologic studies.

Authors:  Marc-André Verner; Pierre Ayotte; Gina Muckle; Michel Charbonneau; Sami Haddad
Journal:  Environ Health Perspect       Date:  2008-11-10       Impact factor: 9.031

10.  The implications of using a physiologically based pharmacokinetic (PBPK) model for pesticide risk assessment.

Authors:  Chensheng Lu; Christina M Holbrook; Leo M Andres
Journal:  Environ Health Perspect       Date:  2010-01       Impact factor: 9.031

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