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httk (version 2.6.0)

parameterize_1tri_pbtk: Parameterize_1tri_PBTK

Description

This function initializes the parameters needed in the functions solve_1tri_pbtk by calling parameterize_pbtk and adding additional parameters.

Usage

parameterize_1tri_pbtk(
  chem.cas = NULL,
  chem.name = NULL,
  dtxsid = NULL,
  species = "Human",
  return.kapraun2019 = TRUE,
  suppress.messages = FALSE,
  ...
)

Value

pre_pregnant_BW

Body Weight before pregnancy, kg.

Clmetabolismc

Hepatic Clearance, L/h/kg BW.

Fabsgut

Fraction of the oral dose absorbed, i.e. the fraction of the dose that enters the gutlumen.

Funbound.plasma

Fraction of plasma that is not bound.

Fhep.assay.correction

The fraction of chemical unbound in hepatocyte assay using the method of Kilford et al. (2008)

hematocrit

Percent volume of red blood cells in the blood.

Kadipose2pu

Ratio of concentration of chemical in adipose tissue to unbound concentration in plasma.

Kconceptus2pu_initial

Ratio of concentration of chemical in "conceptus" compartment to unbound concentration in plasma at time 0.

Kconceptus2pu_final

Ratio of concentration of chemical in "conceptus" compartment to unbound concentration in plasma at 13 weeks.

Kgut2pu

Ratio of concentration of chemical in gut tissue to unbound concentration in plasma.

kgutabs

Rate that chemical enters the gut from gutlumen, 1/h.

Kkidney2pu

Ratio of concentration of chemical in kidney tissue to unbound concentration in plasma.

Kliver2pu

Ratio of concentration of chemical in liver tissue to unbound concentration in plasma.

Klung2pu

Ratio of concentration of chemical in lung tissue to unbound concentration in plasma.

Krbc2pu

Ratio of concentration of chemical in red blood cells to unbound concentration in plasma.

Krest2pu

Ratio of concentration of chemical in rest of body tissue to unbound concentration in plasma.

Kthyroid2pu

Ratio of concentration of chemical in thyroid tissue to unbound concentration in plasma.

million.cells.per.gliver

Millions cells per gram of liver tissue.

MW

Molecular Weight, g/mol.

pH_Plasma_mat

pH of the maternal plasma.

Qgfr

Glomerular Filtration Rate, L/h/kg BW^3/4, volume of fluid filtered from kidney and excreted.

Vgutc

Volume of the gut per kg body weight, L/kg BW.

Vkidneyc

Volume of the kidneys per kg body weight, L/kg BW.

Vliverc

Volume of the liver per kg body weight, L/kg BW.

Vlungc

Volume of the lungs per kg body weight, L/kg BW.

Vthyroidc

Volume of the thyroid per kg body weight, L/kg BW.

Arguments

chem.cas

Either the chemical name or the CAS number must be specified.

chem.name

Either the chemical name or the CAS number must be specified.

dtxsid

EPA's DSSTox Structure ID (http://comptox.epa.gov/dashboard) the chemical must be identified by either CAS, name, or DTXSIDs

species

Species desired (either "Rat", "Rabbit", "Dog", "Mouse", or default "Human"). Currently only a human model is supported.

return.kapraun2019

If TRUE (default), empirical parameters from Kapraun et al. (2019) necessary for defining the model are provided. This is a subset of the httk::kapraun2019 list object with additional parameters.

suppress.messages

Whether or not the output message is suppressed.

...

Arguments passed to parameterize_pbtk.

Author

Kimberly Truong, Mark Sfeir, Dustin Kapraun, John Wambaugh

Details

Because this model does not simulate exhalation, inhalation, and other processes relevant to volatile chemicals, this model is by default restricted to chemicals with a logHenry's Law Constant less than that of Acetone, a known volatile chemical. That is, chemicals with logHLC > -4.5 (Log10 atm-m3/mole) are excluded. Volatility is not purely determined by the Henry's Law Constant, therefore this chemical exclusion may be turned off with the argument "physchem.exclude = FALSE". Similarly, per- and polyfluoroalkyl substances (PFAS) are excluded by default because the transporters that often drive PFAS toxicokinetics are not included in this model. However, PFAS chemicals can be included with the argument "class.exclude = FALSE".

References

kilford2008hepatocellularhttk

kapraun2019empiricalhttk

kapraun2022fetalmodelhttk

truong2025fullpregnancyhttk

See Also

solve_1tri_pbtk

parameterize_pbtk

predict_partitioning_schmitt

apply_clint_adjustment

tissue.data

physiology.data

kapraun2019

Examples

Run this code

# \donttest{
 parameters <- parameterize_1tri_pbtk(dtxsid = "DTXSID7020182")

 parameters <- parameterize_1tri_pbtk(chem.name='Bisphenol-A')
# } 

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