TY - JOUR
T1 - A Computational Investigation of the Ventilation Structure and Maximum Rate of Metabolism for a Physiologically Based Pharmacokinetic (PBPK) Model of Inhaled Xylene
AU - Yokley, Karen A
AU - DeVincent, Jaclyn
AU - Luke, Nicholas
AU - Ashcraft, Jaclyn
PY - 2019
Y1 - 2019
N2 - Physiologically based pharmacokinetic (PBPK) models are systems of ordinary differential equations that estimate internal doses following exposure to toxicants. Most PBPK models use standard equations to describe inhalation and concentrations in blood. This study extends previous work investigating the effect of the structure of air and blood concentration equations on PBPK predictions. The current study uses an existing PBPK model of xylene to investigate if different values for the maximum rate of toxicant metabolism, V_xyl max, can result in similar compartmental predictions when used with different equations describing inhalation. Simulations are performed using V_xylmax values based on existing literature. Simulated data is also used to determine specific V_xylmax values that result in similar predictions from different ventilation structures. Differences in ventilation equation structure may affect parameter estimates found through inverse problems, although further investigation is needed with more complicated models. Keywords - PBPK modeling, xylene
AB - Physiologically based pharmacokinetic (PBPK) models are systems of ordinary differential equations that estimate internal doses following exposure to toxicants. Most PBPK models use standard equations to describe inhalation and concentrations in blood. This study extends previous work investigating the effect of the structure of air and blood concentration equations on PBPK predictions. The current study uses an existing PBPK model of xylene to investigate if different values for the maximum rate of toxicant metabolism, V_xyl max, can result in similar compartmental predictions when used with different equations describing inhalation. Simulations are performed using V_xylmax values based on existing literature. Simulated data is also used to determine specific V_xylmax values that result in similar predictions from different ventilation structures. Differences in ventilation equation structure may affect parameter estimates found through inverse problems, although further investigation is needed with more complicated models. Keywords - PBPK modeling, xylene
UR - https://dx.doi.org/10.11145/j.biomath.2019.01.067
U2 - 10.11145/j.biomath.2019.01.067
DO - 10.11145/j.biomath.2019.01.067
M3 - Article
VL - 8
SP - 13
JO - BIOMATH
JF - BIOMATH
IS - 1
ER -